2025
Meta Recommendation With Robustness Improvement.
IEEE Trans. Knowl. Data Eng., February, 2025
Aspect-Enhanced Explainable Recommendation with Multi-modal Contrastive Learning.
ACM Trans. Intell. Syst. Technol., February, 2025
LLM-powered Multi-agent Framework for Goal-oriented Learning in Intelligent Tutoring System.
CoRR, January, 2025
Value Compass Leaderboard: A Platform for Fundamental and Validated Evaluation of LLMs Values.
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CoRR, January, 2025
CultureVLM: Characterizing and Improving Cultural Understanding of Vision-Language Models for over 100 Countries.
CoRR, January, 2025
2024
MetaFed: Federated Learning Among Federations With Cyclic Knowledge Distillation for Personalized Healthcare.
IEEE Trans. Neural Networks Learn. Syst., November, 2024
Sinkhorn Distance Minimization for Adaptive Semi-Supervised Social Network Alignment.
IEEE Trans. Neural Networks Learn. Syst., October, 2024
A Survey on Evaluation of Large Language Models.
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ACM Trans. Intell. Syst. Technol., June, 2024
Diversify: A General Framework for Time Series Out-of-Distribution Detection and Generalization.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2024
Put Your Voice on Stage: Personalized Headline Generation for News Articles.
ACM Trans. Knowl. Discov. Data, April, 2024
Exploring Vision-Language Models for Imbalanced Learning.
Int. J. Comput. Vis., January, 2024
S<sup>2</sup>HM<sup>2</sup>: A Spectral-Spatial Hierarchical Masked Modeling Framework for Self-Supervised Feature Learning and Classification of Large-Scale Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens., 2024
A Stepwise Refining Image-Level Weakly Supervised Semantic Segmentation Method for Detecting Exposed Surface for Buildings (ESB) From Very High-Resolution Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2024
Challenges of COVID-19 Case Forecasting in the US, 2020-2021.
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PLoS Comput. Biol., 2024
PromptBench: A Unified Library for Evaluation of Large Language Models.
J. Mach. Learn. Res., 2024
On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective.
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IEEE Data Eng. Bull., 2024
Better Think with Tables: Leveraging Tables to Enhance Large Language Model Comprehension.
CoRR, 2024
The Road to Artificial SuperIntelligence: A Comprehensive Survey of Superalignment.
CoRR, 2024
TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System.
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CoRR, 2024
CharacterBox: Evaluating the Role-Playing Capabilities of LLMs in Text-Based Virtual Worlds.
CoRR, 2024
Large Language Models show both individual and collective creativity comparable to humans.
CoRR, 2024
Elephant in the Room: Unveiling the Impact of Reward Model Quality in Alignment.
CoRR, 2024
Measuring Human Contribution in AI-Assisted Content Generation.
CoRR, 2024
Raising the Bar: Investigating the Values of Large Language Models via Generative Evolving Testing.
CoRR, 2024
Can I understand what I create? Self-Knowledge Evaluation of Large Language Models.
CoRR, 2024
Research on Foundation Model for Spatial Data Intelligence: China's 2024 White Paper on Strategic Development of Spatial Data Intelligence.
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CoRR, 2024
Beyond Human Norms: Unveiling Unique Values of Large Language Models through Interdisciplinary Approaches.
CoRR, 2024
Uncovering Safety Risks in Open-source LLMs through Concept Activation Vector.
CoRR, 2024
Learning with Noisy Foundation Models.
CoRR, 2024
GraphInstruct: Empowering Large Language Models with Graph Understanding and Reasoning Capability.
CoRR, 2024
Negating Negatives: Alignment without Human Positive Samples via Distributional Dispreference Optimization.
CoRR, 2024
ToolNet: Connecting Large Language Models with Massive Tools via Tool Graph.
CoRR, 2024
DyVal 2: Dynamic Evaluation of Large Language Models by Meta Probing Agents.
CoRR, 2024
On Catastrophic Inheritance of Large Foundation Models.
CoRR, 2024
TrustLLM: Trustworthiness in Large Language Models.
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CoRR, 2024
High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text Attributed Graphs.
Proceedings of the ACM on Web Conference 2024, 2024
RecAI: Leveraging Large Language Models for Next-Generation Recommender Systems.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
Aligning Language Models for Versatile Text-based Item Retrieval.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems.
Proceedings of the ACM on Web Conference 2024, 2024
MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels.
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Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
CulturePark: Boosting Cross-cultural Understanding in Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
CultureLLM: Incorporating Cultural Differences into Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Value FULCRA: Mapping Large Language Models to the Multidimensional Spectrum of Basic Human Value.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Embedding an Ethical Mind: Aligning Text-to-Image Synthesis via Lightweight Value Optimization.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts.
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Proceedings of the 1st ACM Workshop on Large AI Systems and Models with Privacy and Safety Analysis, 2024
RecExplainer: Aligning Large Language Models for Explaining Recommendation Models.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
On the Essence and Prospect: An Investigation of Alignment Approaches for Big Models.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Enhancing Inter-Class Discrimination for Domain Adaptation of Change Detection.
Proceedings of the IGARSS 2024, 2024
Dynamic Evaluation of Large Language Models by Meta Probing Agents.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
CompeteAI: Understanding the Competition Dynamics of Large Language Model-based Agents.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
The Good, The Bad, and Why: Unveiling Emotions in Generative AI.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Position: TrustLLM: Trustworthiness in Large Language Models.
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Proceedings of the Forty-first International Conference on Machine Learning, 2024
A General Framework for Learning from Weak Supervision.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Supervised Knowledge Makes Large Language Models Better In-context Learners.
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Proceedings of the Twelfth International Conference on Learning Representations, 2024
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization.
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Proceedings of the Twelfth International Conference on Learning Representations, 2024
Denevil: towards Deciphering and Navigating the Ethical Values of Large Language Models via Instruction Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Negating Negatives: Alignment with Human Negative Samples via Distributional Dispreference Optimization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
IRGen: Generative Modeling for Image Retrieval.
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Proceedings of the Computer Vision - ECCV 2024, 2024
SpecFormer: Guarding Vision Transformer Robustness via Maximum Singular Value Penalization.
Proceedings of the Computer Vision - ECCV 2024, 2024
KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
On the Vulnerability of Safety Alignment in Open-Access LLMs.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Aligning Large Language Models for Controllable Recommendations.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Defending ChatGPT against jailbreak attack via self-reminders.
Nat. Mac. Intell., December, 2023
Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning.
IEEE Trans. Knowl. Data Eng., October, 2023
Network Representation Lightening From Hashing to Quantization.
IEEE Trans. Knowl. Data Eng., May, 2023
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering.
ACM Trans. Inf. Syst., April, 2023
CDSM: Cascaded Deep Semantic Matching on Textual Graphs Leveraging Ad-hoc Neighbor Selection.
ACM Trans. Intell. Syst. Technol., April, 2023
Personalized News Recommendation: Methods and Challenges.
ACM Trans. Inf. Syst., January, 2023
Reinforcement Routing on Proximity Graph for Efficient Recommendation.
ACM Trans. Inf. Syst., January, 2023
FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning.
IEEE Data Eng. Bull., 2023
Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models.
CoRR, 2023
Control Risk for Potential Misuse of Artificial Intelligence in Science.
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CoRR, 2023
CDEval: A Benchmark for Measuring the Cultural Dimensions of Large Language Models.
CoRR, 2023
RecExplainer: Aligning Large Language Models for Recommendation Model Interpretability.
CoRR, 2023
Knowledge Plugins: Enhancing Large Language Models for Domain-Specific Recommendations.
CoRR, 2023
Value FULCRA: Mapping Large Language Models to the Multidimensional Spectrum of Basic Human Values.
CoRR, 2023
Unpacking the Ethical Value Alignment in Big Models.
CoRR, 2023
CompeteAI: Understanding the Competition Behaviors in Large Language Model-based Agents.
CoRR, 2023
Evaluating General-Purpose AI with Psychometrics.
CoRR, 2023
A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems.
CoRR, 2023
Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity.
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CoRR, 2023
ZooPFL: Exploring Black-box Foundation Models for Personalized Federated Learning.
CoRR, 2023
Meta Semantic Template for Evaluation of Large Language Models.
CoRR, 2023
DyVal: Graph-informed Dynamic Evaluation of Large Language Models.
CoRR, 2023
Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations.
CoRR, 2023
Can Transformer and GNN Help Each Other?
CoRR, 2023
From Instructions to Intrinsic Human Values - A Survey of Alignment Goals for Big Models.
CoRR, 2023
ConvFormer: Revisiting Transformer for Sequential User Modeling.
CoRR, 2023
Frustratingly Easy Model Generalization by Dummy Risk Minimization.
CoRR, 2023
EmotionPrompt: Leveraging Psychology for Large Language Models Enhancement via Emotional Stimulus.
CoRR, 2023
MUSER: A MUlti-Step Evidence Retrieval Enhancement Framework for Fake News Detection.
CoRR, 2023
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization.
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CoRR, 2023
PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts.
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CoRR, 2023
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations.
CoRR, 2023
IRGen: Generative Modeling for Image Retrieval.
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CoRR, 2023
SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning.
CoRR, 2023
xGCN: An Extreme Graph Convolutional Network for Large-scale Social Link Prediction.
Proceedings of the ACM Web Conference 2023, 2023
Distillation from Heterogeneous Models for Top-K Recommendation.
Proceedings of the ACM Web Conference 2023, 2023
Cooperative Retriever and Ranker in Deep Recommenders.
Proceedings of the ACM Web Conference 2023, 2023
Towards Explainable Collaborative Filtering with Taste Clusters Learning.
Proceedings of the ACM Web Conference 2023, 2023
DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision.
Proceedings of the ACM Web Conference 2023, 2023
Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023
A Tutorial on Domain Generalization.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023
Beyond the Overlapping Users: Cross-Domain Recommendation via Adaptive Anchor Link Learning.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Continual Learning on Dynamic Graphs via Parameter Isolation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Multi-Grained Topological Pre-Training of Language Models in Sponsored Search.
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Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Model-enhanced Vector Index.
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Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Bayesian Active Causal Discovery with Multi-Fidelity Experiments.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking.
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Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution.
Proceedings of the KDD'23 Workshop on Causal Discovery, 2023
Domain-Specific Risk Minimization for Domain Generalization.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
UA-FedRec: Untargeted Attack on Federated News Recommendation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
A Causality Inspired Framework for Model Interpretation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Trustworthy Machine Learning: Robustness, Generalization, and Interpretability.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
PASS: Personalized Advertiser-aware Sponsored Search.
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Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation Learning.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
MUSER: A MUlti-Step Evidence Retrieval Enhancement Framework for Fake News Detection.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
FedDefender: Client-Side Attack-Tolerant Federated Learning.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
FedSampling: A Better Sampling Strategy for Federated Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
KEST: Kernel Distance Based Efficient Self-Training for Improving Controllable Text Generation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning.
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Proceedings of the Eleventh International Conference on Learning Representations, 2023
Out-of-distribution Representation Learning for Time Series Classification.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Learning on Large-scale Text-attributed Graphs via Variational Inference.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
A Survey on Knowledge Graph-Based Recommender Systems : Extended Abstract.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Towards Attack-tolerant Federated Learning via Critical Parameter Analysis.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Longtriever: a Pre-trained Long Text Encoder for Dense Document Retrieval.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
ToViLaG: Your Visual-Language Generative Model is Also An Evildoer.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Non-IID always Bad? Semi-Supervised Heterogeneous Federated Learning with Local Knowledge Enhancement.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-Distribution Generalization Perspective.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
DuNST: Dual Noisy Self Training for Semi-Supervised Controllable Text Generation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion.
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Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Prototypical Fine-Tuning: Towards Robust Performance under Varying Data Sizes.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Conference Report: The 30th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2022) Seattle, Washington, USA November 1-4, 2022.
ACM SIGSPATIAL Special, November, 2022
Domain-invariant Feature Exploration for Domain Generalization.
Trans. Mach. Learn. Res., 2022
A Survey on Knowledge Graph-Based Recommender Systems.
IEEE Trans. Knowl. Data Eng., 2022
FedCTR: Federated Native Ad CTR Prediction with Cross-platform User Behavior Data.
ACM Trans. Intell. Syst. Technol., 2022
A Generic Construction of Designated Verifier Signature from Standard Cryptographic Algorithms.
J. Inf. Sci. Eng., 2022
Graph convolution machine for context-aware recommender system.
Frontiers Comput. Sci., 2022
Robust Federated Learning against both Data Heterogeneity and Poisoning Attack via Aggregation Optimization.
CoRR, 2022
FIXED: Frustratingly Easy Domain Generalization with Mixup.
CoRR, 2022
Test-Time Training for Graph Neural Networks.
CoRR, 2022
Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution.
CoRR, 2022
Domain-Specific Risk Minimization.
CoRR, 2022
USB: A Unified Semi-supervised Learning Benchmark.
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CoRR, 2022
Equivariant Disentangled Transformation for Domain Generalization under Combination Shift.
CoRR, 2022
Geometric Interaction Augmented Graph Collaborative Filtering.
CoRR, 2022
Two-Stage Neural Contextual Bandits for Personalised News Recommendation.
CoRR, 2022
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning.
CoRR, 2022
A Neural Corpus Indexer for Document Retrieval.
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CoRR, 2022
Negative Sampling for Contrastive Representation Learning: A Review.
CoRR, 2022
Robust Quantity-Aware Aggregation for Federated Learning.
CoRR, 2022
FedCL: Federated Contrastive Learning for Privacy-Preserving Recommendation.
CoRR, 2022
PrivateRec: Differentially Private Training and Serving for Federated News Recommendation.
CoRR, 2022
Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings.
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CoRR, 2022
A Mutually Reinforced Framework for Pretrained Sentence Embeddings.
CoRR, 2022
NoisyTune: A Little Noise Can Help You Finetune Pretrained Language Models Better.
CoRR, 2022
UA-FedRec: Untargeted Attack on Federated News Recommendation.
CoRR, 2022
Uni-Retriever: Towards Learning The Unified Embedding Based Retriever in Bing Sponsored Search.
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CoRR, 2022
Game of Privacy: Towards Better Federated Platform Collaboration under Privacy Restriction.
CoRR, 2022
Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval.
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Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
FeedRec: News Feed Recommendation with Various User Feedbacks.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Multi-level Recommendation Reasoning over Knowledge Graphs with Reinforcement Learning.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
MINDSim: User Simulator for News Recommenders.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
Ada-GNN: Adapting to Local Patterns for Improving Graph Neural Networks.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
Geometric Disentangled Collaborative Filtering.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings.
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Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
ProFairRec: Provider Fairness-aware News Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Forest-based Deep Recommender.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Localized Graph Collaborative Filtering.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022
A Neural Corpus Indexer for Document Retrieval.
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Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
USB: A Unified Semi-supervised Learning Benchmark for Classification.
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Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Self-explaining deep models with logic rule reasoning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent Variable Inference for Text Generation.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Uni-Retriever: Towards Learning the Unified Embedding Based Retriever in Bing Sponsored Search.
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Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Reinforcement Subgraph Reasoning for Fake News Detection.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Training Large-Scale News Recommenders with Pretrained Language Models in the Loop.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
FedAttack: Effective and Covert Poisoning Attack on Federated Recommendation via Hard Sampling.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Friend Recommendations with Self-Rescaling Graph Neural Networks.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Improving Relevance Modeling via Heterogeneous Behavior Graph Learning in Bing Ads.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Personalized Chit-Chat Generation for Recommendation Using External Chat Corpora.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Clickbait Detection via Contrastive Variational Modelling of Text and Label.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
HousE: Knowledge Graph Embedding with Householder Parameterization.
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Proceedings of the International Conference on Machine Learning, 2022
Effective and Efficient Query-aware Snippet Extraction for Web Search.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
RAPO: An Adaptive Ranking Paradigm for Bilingual Lexicon Induction.
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Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
A Joint Learning Framework for Restaurant Survival Prediction and Explanation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Evade the Trap of Mediocrity: Promoting Diversity and Novelty in Text Generation via Concentrating Attention.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Recurrence Boosts Diversity! Revisiting Recurrent Latent Variable in Transformer-Based Variational AutoEncoder for Diverse Text Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation.
Proceedings of the Computer Vision - ECCV 2022, 2022
Tiger: Transferable Interest Graph Embedding for Domain-Level Zero-Shot Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Knowledge Enhanced Multi-Interest Network for the Generation of Recommendation Candidates.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Towards Fine-Grained Reasoning for Fake News Detection.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Multilevel Image-Enhanced Sentence Representation Net for Natural Language Inference.
IEEE Trans. Syst. Man Cybern. Syst., 2021
Learning Graph Representation With Generative Adversarial Nets.
IEEE Trans. Knowl. Data Eng., 2021
Product Quantized Collaborative Filtering.
IEEE Trans. Knowl. Data Eng., 2021
Discrete Matrix Factorization and Extension for Fast Item Recommendation.
IEEE Trans. Knowl. Data Eng., 2021
Multi-Stage Network Embedding for Exploring Heterogeneous Edges.
ACM Trans. Knowl. Discov. Data, 2021
BusBeat: Early Event Detection with Real-Time Bus GPS Trajectories.
IEEE Trans. Big Data, 2021
Enhancing Graph Neural Networks via auxiliary training for semi-supervised node classification.
Knowl. Based Syst., 2021
Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning.
CoRR, 2021
Gophormer: Ego-Graph Transformer for Node Classification.
CoRR, 2021
UserBERT: Contrastive User Model Pre-training.
CoRR, 2021
FedKD: Communication Efficient Federated Learning via Knowledge Distillation.
CoRR, 2021
Fastformer: Additive Attention Can Be All You Need.
CoRR, 2021
Localized Graph Collaborative Filtering.
CoRR, 2021
GraphFormers: GNN-nested Language Models for Linked Text Representation.
CoRR, 2021
Hybrid Encoder: Towards Efficient and Precise Native AdsRecommendation via Hybrid Transformer Encoding Networks.
CoRR, 2021
Search-oriented Differentiable Product Quantization.
CoRR, 2021
DebiasedRec: Bias-aware User Modeling and Click Prediction for Personalized News Recommendation.
CoRR, 2021
Training Microsoft News Recommenders with Pretrained Language Models in the Loop.
CoRR, 2021
Multi-Interest-Aware User Modeling for Large-Scale Sequential Recommendations.
CoRR, 2021
FedGNN: Federated Graph Neural Network for Privacy-Preserving Recommendation.
CoRR, 2021
Graph Structure Estimation Neural Networks.
Proceedings of the WWW '21: The Web Conference 2021, 2021
Self-supervised Graph Learning for Recommendation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Lighter and Better: Low-Rank Decomposed Self-Attention Networks for Next-Item Recommendation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Reinforcing Pretrained Models for Generating Attractive Text Advertisements.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Reinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
User-as-Graph: User Modeling with Heterogeneous Graph Pooling for News Recommendation.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Learning Groupwise Explanations for Black-Box Models.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Matching-oriented Embedding Quantization For Ad-hoc Retrieval.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Leveraging Bidding Graphs for Advertiser-Aware Relevance Modeling in Sponsored Search.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
PENS: A Dataset and Generic Framework for Personalized News Headline Generation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Fairness-aware News Recommendation with Decomposed Adversarial Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
A Hierarchical Attention Model for Social Contextual Image Recommendation.
IEEE Trans. Knowl. Data Eng., 2020
Detecting Entities of Works for Chinese Chatbot.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2020
Sequential Recommendation via Cross-Domain Novelty Seeking Trait Mining.
J. Comput. Sci. Technol., 2020
Incorporating User-Comment Graph for Fake News Detection.
CoRR, 2020
FedCTR: Federated Native Ad CTR Prediction with Multi-Platform User Behavior Data.
CoRR, 2020
Privacy-Preserving News Recommendation Model Training via Federated Learning.
CoRR, 2020
FedNER: Privacy-preserving Medical Named Entity Recognition with Federated Learning.
CoRR, 2020
Graph Convolution Machine for Context-aware Recommender System.
CoRR, 2020
Neural news recommendation with negative feedback.
CCF Trans. Pervasive Comput. Interact., 2020
Correction to: Special issue on recommender system.
CCF Trans. Pervasive Comput. Interact., 2020
LightRec: A Memory and Search-Efficient Recommender System.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Leveraging Demonstrations for Reinforcement Recommendation Reasoning over Knowledge Graphs.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Octopus: Comprehensive and Elastic User Representation for the Generation of Recommendation Candidates.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
KRED: Knowledge-Aware Document Representation for News Recommendations.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020
Sampling-Decomposable Generative Adversarial Recommender.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Geography-Aware Sequential Location Recommendation.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Towards Explainable Conversational Recommendation.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
PTUM: Pre-training User Model from Unlabeled User Behaviors via Self-supervision.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Privacy-Preserving News Recommendation Model Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
MIND: A Large-scale Dataset for News Recommendation.
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Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Fine-grained Interest Matching for Neural News Recommendation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Graph Neural News Recommendation with Unsupervised Preference Disentanglement.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
Exploring High-Order User Preference on the Knowledge Graph for Recommender Systems.
ACM Trans. Inf. Syst., 2019
Personalized Reason Generation for Explainable Song Recommendation.
ACM Trans. Intell. Syst. Technol., 2019
Neural Chinese word segmentation with dictionary.
Neurocomputing, 2019
Fast and Accurate Knowledge-Aware Document Representation Enhancement for News Recommendations.
CoRR, 2019
A Novel User Representation Paradigm for Making Personalized Candidate Retrieval.
CoRR, 2019
Special issue on recommender system.
CCF Trans. Pervasive Comput. Interact., 2019
Helpfulness-aware review based neural recommendation.
CCF Trans. Pervasive Comput. Interact., 2019
Neural Chinese Named Entity Recognition via CNN-LSTM-CRF and Joint Training with Word Segmentation.
Proceedings of the World Wide Web Conference, 2019
Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation.
Proceedings of the World Wide Web Conference, 2019
Knowledge Graph Convolutional Networks for Recommender Systems.
Proceedings of the World Wide Web Conference, 2019
Neural Chinese Word Segmentation with Lexicon and Unlabeled Data via Posterior Regularization.
Proceedings of the World Wide Web Conference, 2019
MSA: Jointly Detecting Drug Name and Adverse Drug Reaction Mentioning Tweets with Multi-Head Self-Attention.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019
Neural Demographic Prediction using Search Query.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019
NRPA: Neural Recommendation with Personalized Attention.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019
Evaluating Image-Inspired Poetry Generation.
Proceedings of the Natural Language Processing and Chinese Computing, 2019
REKER: Relation Extraction with Knowledge of Entity and Relation.
Proceedings of the Natural Language Processing and Chinese Computing, 2019
REET: Joint Relation Extraction and Entity Typing via Multi-task Learning.
Proceedings of the Natural Language Processing and Chinese Computing, 2019
Neural Response Generation with Relevant Emotions for Short Text Conversation.
Proceedings of the Natural Language Processing and Chinese Computing, 2019
NPA: Neural News Recommendation with Personalized Attention.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Neural News Recommendation with Attentive Multi-View Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Personalized Multimedia Item and Key Frame Recommendation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Hi-Fi Ark: Deep User Representation via High-Fidelity Archive Network.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Co-Attentive Multi-Task Learning for Explainable Recommendation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Towards a Deep and Unified Understanding of Deep Neural Models in NLP.
Proceedings of the 36th International Conference on Machine Learning, 2019
CAMP: Co-Attention Memory Networks for Diagnosis Prediction in Healthcare.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
Reviews Meet Graphs: Enhancing User and Item Representations for Recommendation with Hierarchical Attentive Graph Neural Network.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Neural News Recommendation with Multi-Head Self-Attention.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Neural News Recommendation with Heterogeneous User Behavior.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Neural Review Rating Prediction with Hierarchical Attentions and Latent Factors.
Proceedings of the Database Systems for Advanced Applications, 2019
Neural Gender Prediction from News Browsing Data.
Proceedings of the Chinese Computational Linguistics - 18th China National Conference, 2019
Title-Aware Neural News Topic Prediction.
Proceedings of the Chinese Computational Linguistics - 18th China National Conference, 2019
Neural CTR Prediction for Native Ad.
Proceedings of the Chinese Computational Linguistics - 18th China National Conference, 2019
Neural Review Rating Prediction with User and Product Memory.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Relation-Aware Graph Convolutional Networks for Agent-Initiated Social E-Commerce Recommendation.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Neural Gender Prediction in Microblogging with Emotion-aware User Representation.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
ARP: Aspect-aware Neural Review Rating Prediction.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Sentiment Lexicon Enhanced Neural Sentiment Classification.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
NICE: Neural In-Hospital Cost Estimation from Medical Records.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
News Graph: An Enhanced Knowledge Graph for News Recommendation.
Proceedings of the Second Workshop on Knowledge-aware and Conversational Recommender Systems, 2019
Fast Neural Chinese Named Entity Recognition with Multi-head Self-attention.
Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Computing and Language Understanding, 2019
Neural News Recommendation with Topic-Aware News Representation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Exploring Sequence-to-Sequence Learning in Aspect Term Extraction.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Neural News Recommendation with Long- and Short-term User Representations.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
DRr-Net: Dynamic Re-Read Network for Sentence Semantic Matching.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Session-Based Recommendation with Graph Neural Networks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Explainable Recommendation through Attentive Multi-View Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Guest editorial: special issue on mobile crowdsourcing - Preface to the special issue on mobile crowdsourcing.
World Wide Web, 2018
Automatically Learning Topics and Difficulty Levels of Problems in Online Judge Systems.
ACM Trans. Inf. Syst., 2018
GeoMF++: Scalable Location Recommendation via Joint Geographical Modeling and Matrix Factorization.
ACM Trans. Inf. Syst., 2018
Product Adoption Rate Prediction in a Competitive Market.
IEEE Trans. Knowl. Data Eng., 2018
Scalable Content-Aware Collaborative Filtering for Location Recommendation.
IEEE Trans. Knowl. Data Eng., 2018
Image Inspired Poetry Generation in XiaoIce.
CoRR, 2018
CD-CNN: A Partially Supervised Cross-Domain Deep Learning Model or Urban Resident Recognition.
CoRR, 2018
Ripple Network: Propagating User Preferences on the Knowledge Graph for Recommender Systems.
CoRR, 2018
Cross-domain novelty seeking trait mining for sequential recommendation.
CoRR, 2018
Dummy Generation Based on User-Movement Estimation for Location Privacy Protection.
IEEE Access, 2018
DRN: A Deep Reinforcement Learning Framework for News Recommendation.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018
DKN: Deep Knowledge-Aware Network for News Recommendation.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018
How to Impute Missing Ratings?: Claims, Solution, and Its Application to Collaborative Filtering.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018
SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018
WSDM Cup 2018: Music Recommendation and Churn Prediction.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018
Spatial-Aware Deep Recommender System.
Proceedings of the 2018 IEEE SmartWorld, 2018
Detecting Tweets Mentioning Drug Name and Adverse Drug Reaction with Hierarchical Tweet Representation and Multi-Head Self-Attention.
Proceedings of the 2018 EMNLP Workshop SMM4H: The 3rd Social Media Mining for Health Applications Workshop & Shared Task, 2018
Attention-driven Factor Model for Explainable Personalized Recommendation.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018
Knowledge-Based Recommendation with Hierarchical Collaborative Embedding.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018
Overview of the NLPCC 2018 Shared Task: Social Media User Modeling.
Proceedings of the Natural Language Processing and Chinese Computing, 2018
Neural Chinese Word Segmentation with Dictionary Knowledge.
Proceedings of the Natural Language Processing and Chinese Computing, 2018
Transcribing Content from Structural Images with Spotlight Mechanism.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Context-aware Academic Collaborator Recommendation.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
High-order Proximity Preserving Information Network Hashing.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
MOBA-Slice: A Time Slice Based Evaluation Framework of Relative Advantage Between Teams in MOBA Games.
Proceedings of the Computer Games - 7th Workshop, 2018
Sequential Recommender System based on Hierarchical Attention Networks.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Predicting the Spatio-Temporal Evolution of Chronic Diseases in Population with Human Mobility Data.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Towards Better Representation Learning for Personalized News Recommendation: a Multi-Channel Deep Fusion Approach.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Why You Should Listen to This Song: Reason Generation for Explainable Recommendation.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018
Neural Sentence-Level Sentiment Classification with Heterogeneous Supervision.
Proceedings of the IEEE International Conference on Data Mining, 2018
A Reinforcement Learning Framework for Explainable Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2018
Collaborative Translational Metric Learning.
Proceedings of the IEEE International Conference on Data Mining, 2018
Tweet Emoji Prediction Using Hierarchical Model with Attention.
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018
HL-EncDec: A Hybrid-Level Encoder-Decoder for Neural Response Generation.
Proceedings of the 27th International Conference on Computational Linguistics, 2018
RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
GraphGAN: Graph Representation Learning With Generative Adversarial Nets.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
CD-CNN: A Partially Supervised Cross-Domain Deep Learning Model for Urban Resident Recognition.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Search by Screenshots for Universal Article Clipping in Mobile Apps.
ACM Trans. Inf. Syst., 2017
Collaborative Intent Prediction with Real-Time Contextual Data.
ACM Trans. Inf. Syst., 2017
DeepMob: Learning Deep Knowledge of Human Emergency Behavior and Mobility from Big and Heterogeneous Data.
ACM Trans. Inf. Syst., 2017
Network Motif Discovery: A GPU Approach.
IEEE Trans. Knowl. Data Eng., 2017
Prediction and Simulation of Human Mobility Following Natural Disasters.
ACM Trans. Intell. Syst. Technol., 2017
Mobile Social Multimedia Analytics in the Big Data Era: An Introduction to the Special Issue.
ACM Trans. Intell. Syst. Technol., 2017
Robust Spammer Detection in Microblogs: Leveraging User Carefulness.
ACM Trans. Intell. Syst. Technol., 2017
Representation learning via Dual-Autoencoder for recommendation.
Neural Networks, 2017
TaskMe: Toward a dynamic and quality-enhanced incentive mechanism for mobile crowd sensing.
Int. J. Hum. Comput. Stud., 2017
Sequential Transfer Learning: Cross-domain Novelty Seeking Trait Mining for Recommendation.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017
Restaurant Survival Analysis with Heterogeneous Information.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017
CCCFNet: A Content-Boosted Collaborative Filtering Neural Network for Cross Domain Recommender Systems.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017
Representation Learning with Pair-wise Constraints for Collaborative Ranking.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017
Beyond the Words: Predicting User Personality from Heterogeneous Information.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017
Microsoft Research Asia at the NTCIR-13 STC-2 Task.
Proceedings of the 13th NTCIR Conference, 2017
Overview of the NLPCC-ICCPOL 2017 Shared Task: Social Media User Modeling.
Proceedings of the Natural Language Processing and Chinese Computing, 2017
A Multifaceted Model for Cross Domain Recommendation Systems.
Proceedings of the Knowledge Science, Engineering and Management, 2017
Discrete Content-aware Matrix Factorization.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Understanding People Lifestyles: Construction of Urban Movement Knowledge Graph from GPS Trajectory.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
App Download Forecasting: An Evolutionary Hierarchical Competition Approach.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
A World of Difference: Divergent Word Interpretations Among People.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017
An Early Event Detection Technique with Bus GPS Data.
Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017
2016
User-Service Rating Prediction by Exploring Social Users' Rating Behaviors.
IEEE Trans. Multim., 2016
Relevance Meets Coverage: A Unified Framework to Generate Diversified Recommendations.
ACM Trans. Intell. Syst. Technol., 2016
PicPick: a generic data selection framework for mobile crowd photography.
Pers. Ubiquitous Comput., 2016
UniClip: Leveraging Web Search for Universal Clipping of Articles on Mobile.
Data Sci. Eng., 2016
Cross-Device User Matching Based on Massive Browse Logs: The Runner-Up Solution for the 2016 CIKM Cup.
CoRR, 2016
Predicting Social Status via Social Networks: A Case Study on University, Occupation, and Region.
CoRR, 2016
Dummy-Based User Location Anonymization Under Real-World Constraints.
IEEE Access, 2016
Exploiting Dining Preference for Restaurant Recommendation.
Proceedings of the 25th International Conference on World Wide Web, 2016
Collaborative Nowcasting for Contextual Recommendation.
Proceedings of the 25th International Conference on World Wide Web, 2016
Who Will Reply to/Retweet This Tweet?: The Dynamics of Intimacy from Online Social Interactions.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016
What Is My Next Job: Predicting the Company Size and Position in Career Changes.
Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016
PrivTree: A Differentially Private Algorithm for Hierarchical Decompositions.
Proceedings of the 2016 International Conference on Management of Data, 2016
Microsoft Research Asia at NTCIR-12 STC Task.
Proceedings of the 12th NTCIR Conference on Evaluation of Information Access Technologies, 2016
Collaborative Knowledge Base Embedding for Recommender Systems.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Contextual Intent Tracking for Personal Assistants.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Sparse Bayesian Content-Aware Collaborative Filtering for Implicit Feedback.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Who Wants to Join Me?: Companion Recommendation in Location Based Social Networks.
Proceedings of the 2016 ACM on International Conference on the Theory of Information Retrieval, 2016
Exploring Urban Lifestyles Using a Nonparametric Temporal Graphical Model.
Proceedings of the 2016 ACM on International Conference on the Theory of Information Retrieval, 2016
Aligned Matrix Completion: Integrating Consistency and Independency in Multiple Domains.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
Regularized Content-Aware Tensor Factorization Meets Temporal-Aware Location Recommendation.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
Mutual Reinforcement of Academic Performance Prediction and Library Book Recommendation.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
A contextual collaborative approach for app usage forecasting.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016
Mining Shopping Patterns for Divergent Urban Regions by Incorporating Mobility Data.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
Little Is Much: Bridging Cross-Platform Behaviors through Overlapped Crowds.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
Solving the data sparsity problem in destination prediction.
VLDB J., 2015
FlierMeet: A Mobile Crowdsensing System for Cross-Space Public Information Reposting, Tagging, and Sharing.
IEEE Trans. Mob. Comput., 2015
Discovering Urban Functional ZonesUsing Latent Activity Trajectories.
IEEE Trans. Knowl. Data Eng., 2015
Sensing the Pulse of Urban Refueling Behavior: A Perspective from Taxi Mobility.
ACM Trans. Intell. Syst. Technol., 2015
When Location Meets Social Multimedia: A Survey on Vision-Based Recognition and Mining for Geo-Social Multimedia Analytics.
ACM Trans. Intell. Syst. Technol., 2015
Effective Social Graph Deanonymization Based on Graph Structure and Descriptive Information.
ACM Trans. Intell. Syst. Technol., 2015
Highlights from ACM SIGSPATIAL China chapter in 2014.
ACM SIGSPATIAL Special, 2015
An Efficient Similarity Search Framework for SimRank over Large Dynamic Graphs.
Proc. VLDB Endow., 2015
Reconstructing individual mobility from smart card transactions: a collaborative space alignment approach.
Knowl. Inf. Syst., 2015
Guest Editorial Special Issue on Mobile Crowd Sensing for IoT.
IEEE Internet Things J., 2015
Mining Location-based Social Networks: A Predictive Perspective.
IEEE Data Eng. Bull., 2015
A Novelty-Seeking based Dining Recommender System.
Proceedings of the 24th International Conference on World Wide Web, 2015
Leveraging Careful Microblog Users for Spammer Detection.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015
You Are Where You Go: Inferring Demographic Attributes from Location Check-ins.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015
Product Adoption Rate Prediction: A Multi-factor View.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015
Predicting Smartphone Adoption in Social Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015
Regularity and Conformity: Location Prediction Using Heterogeneous Mobility Data.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Mobile Query Recommendation via Tensor Function Learning.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Mining Indecisiveness in Customer Behaviors.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015
Content-Aware Collaborative Filtering for Location Recommendation Based on Human Mobility Data.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015
Lifting the Predictability of Human Mobility on Activity Trajectories.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015
Approximate keyword search in semantic trajectory database.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015
Mining consumer impulsivity from offline and online behavior.
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2015
TaskMe: a cross-community, quality-enhanced incentive mechanism for mobile crowd sensing.
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, 2015
Abstract Venue Concept Detection from Location-Based Social Networks.
Proceedings of the Information Retrieval Technology, 2015
A Simulator of Human Emergency Mobility Following Disasters: Knowledge Transfer from Big Disaster Data.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
Content-Based Collaborative Filtering for News Topic Recommendation.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
Mining Check-In History for Personalized Location Naming.
ACM Trans. Intell. Syst. Technol., 2014
Adaptive content recommendation for mobile users: Ordering recommendations using a hierarchical context model with granularity.
Pervasive Mob. Comput., 2014
Inferring social ties between users with human location history.
J. Ambient Intell. Humaniz. Comput., 2014
Investigating How User's Activities in Both Virtual and Physical World Impact Each Other Leveraging LBSN Data.
Int. J. Distributed Sens. Networks, 2014
Indigenization of Urban Mobility.
CoRR, 2014
Mining novelty-seeking trait across heterogeneous domains.
Proceedings of the 23rd International World Wide Web Conference, 2014
De-anonymizing social graphs via node similarity.
Proceedings of the 23rd International World Wide Web Conference, 2014
Analyzing Location Predictability on Location-Based Social Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014
GeoMF: joint geographical modeling and matrix factorization for point-of-interest recommendation.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014
Location anonymization using real car trace data for location based services.
Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication, 2014
Social Marketing Meets Targeted Customers: A Typical User Selection and Coverage Perspective.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
FlierMeet: cross-space public information reposting with mobile crowd sensing.
Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014
Privacy Risk in Anonymized Heterogeneous Information Networks.
Proceedings of the 17th International Conference on Extending Database Technology, 2014
2013
T-Finder: A Recommender System for Finding Passengers and Vacant Taxis.
IEEE Trans. Knowl. Data Eng., 2013
T-Drive: Enhancing Driving Directions with Taxi Drivers' Intelligence.
IEEE Trans. Knowl. Data Eng., 2013
DesTeller: A System for Destination Prediction Based on Trajectories with Privacy Protection.
Proc. VLDB Endow., 2013
Context-based microblog browsing for mobile users.
J. Ambient Intell. Smart Environ., 2013
Collaborative filtering meets next check-in location prediction.
Proceedings of the 22nd International World Wide Web Conference, 2013
Reconstructing Individual Mobility from Smart Card Transactions: A Space Alignment Approach.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013
Destination prediction by sub-trajectory synthesis and privacy protection against such prediction.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013
Sensing the pulse of urban refueling behavior.
Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2013
User Location Anonymization Method for Wide Distribution of Dummies.
Proceedings of the Database and Expert Systems Applications, 2013
We know how you live: exploring the spectrum of urban lifestyles.
Proceedings of the Conference on Online Social Networks, 2013
2012
Towards the taxonomy-oriented categorization of yellow pages queries.
ACM Trans. Internet Techn., 2012
Highlights from ACM SIGSPATIAL China Chapter in 2011.
ACM SIGSPATIAL Special, 2012
Social itinerary recommendation from user-generated digital trails.
Pers. Ubiquitous Comput., 2012
Inferring Taxi Status Using GPS Trajectories
CoRR, 2012
Towards mobile intelligence: Learning from GPS history data for collaborative recommendation.
Artif. Intell., 2012
Discovering regions of different functions in a city using human mobility and POIs.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012
Reducing Uncertainty of Low-Sampling-Rate Trajectories.
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012
A dummy-based anonymization method based on user trajectory with pauses.
Proceedings of the SIGSPATIAL 2012 International Conference on Advances in Geographic Information Systems (formerly known as GIS), 2012
2011
Recommending friends and locations based on individual location history.
ACM Trans. Web, 2011
Learning travel recommendations from user-generated GPS traces.
ACM Trans. Intell. Syst. Technol., 2011
LBSN 2010 workshop report: The Second ACM SIGSPATIAL International Workshop on Location Based Social Networks (San Jose, California - November 2, 2010).
ACM SIGSPATIAL Special, 2011
SIGSPATIAL China 2010 activity report.
ACM SIGSPATIAL Special, 2011
A conversation with MSRA researchers.
SIGKDD Explor., 2011
Vocabulary Hierarchy Optimization and Transfer for Scalable Image Search.
IEEE Multim., 2011
Location relevance classification for travelogue digests.
Proceedings of the 20th International Conference on World Wide Web, 2011
Build Intelligence from the Physical World.
Proceedings of the Web and Wireless Geographical Information Systems, 2011
Retrieving k-Nearest Neighboring Trajectories by a Set of Point Locations.
Proceedings of the Advances in Spatial and Temporal Databases, 2011
On theme location discovery for travelogue services.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011
Driving with knowledge from the physical world.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011
Discovering spatio-temporal causal interactions in traffic data streams.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011
Urban computing with taxicabs.
Proceedings of the UbiComp 2011: Ubiquitous Computing, 13th International Conference, 2011
Where to find my next passenger.
Proceedings of the UbiComp 2011: Ubiquitous Computing, 13th International Conference, 2011
TDMA'11 workshop overview.
Proceedings of the UbiComp 2011: Ubiquitous Computing, 13th International Conference, 2011
Collaborative activity recognition via check-in history.
Proceedings of the 2011 International Workshop on Location Based Social Networks, 2011
Learning location naming from user check-in histories.
Proceedings of the 19th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2011
A greener transportation mode: flexible routes discovery from GPS trajectory data.
Proceedings of the 19th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2011
Interactive social, spatial and temporal querying for multimedia retrieval.
Proceedings of the 9th International Workshop on Content-Based Multimedia Indexing, 2011
Location-Based Social Networks: Locations.
Proceedings of the Computing with Spatial Trajectories, 2011
2010
Understanding transportation modes based on GPS data for web applications.
ACM Trans. Web, 2010
A large-scale study on map search logs.
ACM Trans. Web, 2010
Welcome to SIGSPATIAL China.
ACM SIGSPATIAL Special, 2010
LBSN 2009 Workshop Report: International Workshop on Location Based Social Networks (Seattle, Washington - November 3, 2009).
ACM SIGSPATIAL Special, 2010
Estimating Mobile-Friendliness Scores of Web Pages.
IEICE Trans. Inf. Syst., 2010
Introduction to Mobile Information Retrieval.
IEEE Intell. Syst., 2010
GeoLife: A Collaborative Social Networking Service among User, Location and Trajectory.
IEEE Data Eng. Bull., 2010
Collaborative location and activity recommendations with GPS history data.
Proceedings of the 19th International Conference on World Wide Web, 2010
Smart Itinerary Recommendation Based on User-Generated GPS Trajectories.
Proceedings of the Ubiquitous Intelligence and Computing - 7th International Conference, 2010
Drive Smartly as a Taxi Driver.
Proceedings of the Symposia and Workshops on Ubiquitous, 2010
Searching trajectories by locations: an efficiency study.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010
Mining people's trips from large scale geo-tagged photos.
Proceedings of the 18th International Conference on Multimedia 2010, 2010
Learning Location Correlation from GPS Trajectories.
Proceedings of the Eleventh International Conference on Mobile Data Management, 2010
An Interactive-Voting Based Map Matching Algorithm.
Proceedings of the Eleventh International Conference on Mobile Data Management, 2010
Protecting Privacy in Location-Based Services Using K-Anonymity without Cloaked Region.
Proceedings of the Eleventh International Conference on Mobile Data Management, 2010
User activity understanding from mobile phone sensors.
Proceedings of the UbiComp 2010: Ubiquitous Computing, 12th International Conference, 2010
Potential Friend Recommendation in Online Social Network.
Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications, 2010
Detecting nearly duplicated records in location datasets.
Proceedings of the 18th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2010
T-drive: driving directions based on taxi trajectories.
Proceedings of the 18th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2010
Finding similar users using category-based location history.
Proceedings of the 18th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2010
A user location anonymization method for location based services in a real environment.
Proceedings of the 18th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2010
An efficient location extraction algorithm by leveraging web contextual information.
Proceedings of the 18th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2010
Answering Top-<i>k</i> Similar Region Queries.
Proceedings of the Database Systems for Advanced Applications, 2010
Collaborative Filtering Meets Mobile Recommendation: A User-Centered Approach.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010
2009
Browsing on small displays by transforming Web pages into hierarchically structured subpages.
ACM Trans. Web, 2009
Coherent Phrase Model for Efficient Image Near-Duplicate Retrieval.
IEEE Trans. Multim., 2009
Mining interesting locations and travel sequences from GPS trajectories.
Proceedings of the 18th International Conference on World Wide Web, 2009
A game based approach to assign geographical relevance to web images.
Proceedings of the 18th International Conference on World Wide Web, 2009
Location sensitive indexing for image-based advertising.
Proceedings of the 17th International Conference on Multimedia 2009, 2009
Mining city landmarks from blogs by graph modeling.
Proceedings of the 17th International Conference on Multimedia 2009, 2009
GeoLife2.0: A Location-Based Social Networking Service.
Proceedings of the MDM 2009, 2009
Mining Individual Life Pattern Based on Location History.
Proceedings of the MDM 2009, 2009
A Remote Sensing Image Segmentation Method Based on Spectral and Texture Information Fusion.
Proceedings of the Sixth International Conference on Information Technology: New Generations, 2009
Visiads: A vision-based advertising platform for camera phones.
Proceedings of the 2009 IEEE International Conference on Multimedia and Expo, 2009
An online advertisement platform based on image content bidding.
Proceedings of the 2009 IEEE International Conference on Multimedia and Expo, 2009
Mining correlation between locations using human location history.
Proceedings of the 17th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2009
Map-matching for low-sampling-rate GPS trajectories.
Proceedings of the 17th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2009
Vocabulary hierarchy optimization for effective and transferable retrieval.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009
2008
Mobile Search With Multimodal Queries.
Proc. IEEE, 2008
Learning transportation mode from raw gps data for geographic applications on the web.
Proceedings of the 17th International Conference on World Wide Web, 2008
Discovering co-located queries in geographic search logs.
Proceedings of the First International Workshop on Location and the Web, 2008
GeoLife: Managing and Understanding Your Past Life over Maps.
Proceedings of the 9th International Conference on Mobile Data Management (MDM 2008), 2008
A Flexible Spatio-Temporal Indexing Scheme for Large-Scale GPS Track Retrieval.
Proceedings of the 9th International Conference on Mobile Data Management (MDM 2008), 2008
Spatial pyramid mining for logo detection in natural scenes.
Proceedings of the 2008 IEEE International Conference on Multimedia and Expo, 2008
Vocabulary tree incremental indexing for scalable location recognition.
Proceedings of the 2008 IEEE International Conference on Multimedia and Expo, 2008
Visual pattern weighting for near-duplicate image retrieval.
Proceedings of the 2008 IEEE International Conference on Multimedia and Expo, 2008
Understanding mobility based on GPS data.
Proceedings of the UbiComp 2008: Ubiquitous Computing, 10th International Conference, 2008
Density based co-location pattern discovery.
Proceedings of the 16th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2008
Mining user similarity based on location history.
Proceedings of the 16th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2008
Understanding User Behavior Geospatially.
Proceedings of the Contextual and Social Media Understanding and Usage, 15.06., 2008
2007
Searching One Billion Web Images by Content: Challenges and Opportunities.
Proceedings of the Multimedia Content Analysis and Mining, International Workshop, 2007
Distributed Architecture for Large Scale Image-Based Search.
Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007
Mining geographic knowledge using location aware topic model.
Proceedings of the 4th ACM Workshop On Geographic Information Retrieval, 2007
Computing Geographical Serving Area Based on Search Logs and Website Categorization.
Proceedings of the Database and Expert Systems Applications, 18th International Conference, 2007
GeoCLEF 2007: The CLEF 2007 Cross-Language Geographic Information Retrieval Track Overview.
Proceedings of the Advances in Multilingual and Multimodal Information Retrieval, 2007
Exploring LDA-Based Document Model for Geographic Information Retrieval.
Proceedings of the Advances in Multilingual and Multimodal Information Retrieval, 2007
MSRA Columbus at GeoCLEF2007.
Proceedings of the Working Notes for CLEF 2007 Workshop co-located with the 11th European Conference on Digital Libraries (ECDL 2007), 2007
Query Parsing Task for GeoCLEF2007 Report.
Proceedings of the Working Notes for CLEF 2007 Workshop co-located with the 11th European Conference on Digital Libraries (ECDL 2007), 2007
2006
Browsing Large Pictures Under Limited Display Sizes.
IEEE Trans. Multim., 2006
Design and Performance Studies of an Adaptive Scheme for Serving Dynamic Web Content in a Mobile Computing Environment.
IEEE Trans. Mob. Comput., 2006
Photo-to-Search: Using Camera Phones to Inquire of the Surrounding World.
Proceedings of the 7th International Conference on Mobile Data Management (MDM 2006), 2006
Detecting The Sufficient Display Resolution For Image Browsing.
Proceedings of the 7th International Conference on Mobile Data Management (MDM 2006), 2006
Inquiring of the Sights from the Web via Camera Mobiles.
Proceedings of the 2006 IEEE International Conference on Multimedia and Expo, 2006
Detecting Geographical Serving Area of Web Resources.
Proceedings of the 3rd ACM Workshop On Geographic Information Retrieval, 2006
Indexing implicit locations for geographical information retrieval.
Proceedings of the 3rd ACM Workshop On Geographic Information Retrieval, 2006
MSRA Columbus at GeoCLEF 2006.
Proceedings of the Evaluation of Multilingual and Multi-modal Information Retrieval, 2006
MSRA Columbus at GeoCLEF 2006.
Proceedings of the Working Notes for CLEF 2006 Workshop co-located with the 10th European Conference on Digital Libraries (ECDL 2006), 2006
A comparative study on classifying the functions of web page blocks.
Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, 2006
2005
An adaptive web page layout structure for small devices.
Multim. Syst., 2005
Adapting Web Pages for Small-Screen Devices.
IEEE Internet Comput., 2005
Web resource geographic location classification and detection.
Proceedings of the 14th international conference on World Wide Web, 2005
Representing personal web information using a topic-oriented interface.
Proceedings of the 14th international conference on World Wide Web, 2005
Detecting dominant locations from search queries.
Proceedings of the SIGIR 2005: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2005
Efficient Browsing of Web Search Results on Mobile Devices Based on Block Importance Model.
Proceedings of the 3rd IEEE International Conference on Pervasive Computing and Communications (PerCom 2005), 2005
ASAP: A Synchronous Approach for Photo Sharing across Multiple Devices.
Proceedings of the 11th International Conference on Multi Media Modeling (MMM 2005), 2005
Photo-to-search: using multimodal queries to search the web from mobile devices.
Proceedings of the 7th ACM SIGMM International Workshop on Multimedia Information Retrieval, 2005
AIRE: an ambient interactive and responsive environment for mobile image management.
Proceedings of the 7th Conference on Human-Computer Interaction with Mobile Devices and Services, 2005
Automatic Annotation of Location Information for WWW Images.
Proceedings of the 2005 IEEE International Conference on Multimedia and Expo, 2005
Detecting geographic locations from web resources.
Proceedings of the 2005 Workshop On Geographic Information Retrieval, 2005
Hybrid index structures for location-based web search.
Proceedings of the 2005 ACM CIKM International Conference on Information and Knowledge Management, Bremen, Germany, October 31, 2005
Learning user interest for image browsing on small-form-factor devices.
Proceedings of the 2005 Conference on Human Factors in Computing Systems, 2005
2004
Collapse-to-zoom: viewing web pages on small screen devices by interactively removing irrelevant content.
Proceedings of the 17th Annual ACM Symposium on User Interface Software and Technology, 2004
Improving Web Browsing on Small Devices Based on Table Classification.
Proceedings of the Advances in Multimedia Information Processing - PCM 2004, 5th Pacific Rim Conference on Multimedia, Tokyo, Japan, November 30, 2004
Automatic Synchronized Browsing of Images Across Multiple Devices.
Proceedings of the Advances in Multimedia Information Processing - PCM 2004, 5th Pacific Rim Conference on Multimedia, Tokyo, Japan, November 30, 2004
Salient Region Detection Using Weighted Feature Maps Based on the Human Visual Attention Model.
Proceedings of the Advances in Multimedia Information Processing - PCM 2004, 5th Pacific Rim Conference on Multimedia, Tokyo, Japan, November 30, 2004
Intuitive and effective interfaces for WWW image search engines.
Proceedings of the 12th ACM International Conference on Multimedia, 2004
Effective browsing of web image search results.
Proceedings of the 6th ACM SIGMM International Workshop on Multimedia Information Retrieval, 2004
P2P Resource Pool and Its Application to Optimize Wide-Area Application Level Multicasting.
Proceedings of the 33rd International Conference on Parallel Processing Workshops (ICPP 2004 Workshops), 2004
Maximizing information throughput for multimedia browsing on small displays.
Proceedings of the 2004 IEEE International Conference on Multimedia and Expo, 2004
Attention model based progressive image transmission.
Proceedings of the 2004 IEEE International Conference on Multimedia and Expo, 2004
Clustering-Based Navigation of Image Search Results on Mobile Devices.
Proceedings of the Information Retrieval Technology, Asia Information Retrieval Symposium, 2004
2003
A visual attention model for adapting images on small displays.
Multim. Syst., 2003
Media Companion: Delivering Content-oriented Web Services to Internet Media.
Proceedings of the Twelfth International World Wide Web Conference - Posters, 2003
DRESS: A Slicing Tree Based Web Page Representation for Various Display Sizes.
Proceedings of the Twelfth International World Wide Web Conference - Posters, 2003
Image Adaptation Based on Attention Model for Small-Form-Factor Device.
Proceedings of the 9th International Conference on Multi-Media Modeling, 2003
MobiPicture: browsing pictures on mobile devices.
Proceedings of the Eleventh ACM International Conference on Multimedia, 2003
Automatic browsing of large pictures on mobile devices.
Proceedings of the Eleventh ACM International Conference on Multimedia, 2003
Looking into video frames on small displays.
Proceedings of the Eleventh ACM International Conference on Multimedia, 2003
Visual attention based image browsing on mobile devices.
Proceedings of the 2003 IEEE International Conference on Multimedia and Expo, 2003
2002
Enabling personalization services on the edge.
Proceedings of the 10th ACM International Conference on Multimedia 2002, 2002