2025
EduStudio: towards a unified library for student cognitive modeling.
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Frontiers Comput. Sci., August, 2025
Invariant representation learning via decoupling style and spurious features.
Mach. Learn., January, 2025
Adaptive Sampled Softmax with Inverted Multi-Index: Methods, Theory and Applications.
CoRR, January, 2025
Efficient Data Labeling by Hierarchical Crowdsourcing with Large Language Models.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
2024
Training Recommenders Over Large Item Corpus With Importance Sampling.
IEEE Trans. Knowl. Data Eng., December, 2024
Label Deconvolution for Node Representation Learning on Large-Scale Attributed Graphs Against Learning Bias.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024
Event Assignment Based on KBQA for Government Service Hotlines.
Appl. Artif. Intell., December, 2024
Learning Relation-Enhanced Hierarchical Solver for Math Word Problems.
IEEE Trans. Neural Networks Learn. Syst., October, 2024
Spatial and Temporal User Interest Representations for Sequential Recommendation.
IEEE Trans. Comput. Soc. Syst., October, 2024
Average User-Side Counterfactual Fairness for Collaborative Filtering.
ACM Trans. Inf. Syst., September, 2024
Attacking Social Media via Behavior Poisoning.
ACM Trans. Knowl. Discov. Data, August, 2024
When large language models meet personalization: perspectives of challenges and opportunities.
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World Wide Web (WWW), July, 2024
Boosting Factorization Machines via Saliency-Guided Mixup.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2024
Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach.
ACM Trans. Inf. Syst., March, 2024
PilotScope: Steering Databases with Machine Learning Drivers.
Proc. VLDB Endow., January, 2024
MegaPairs: Massive Data Synthesis For Universal Multimodal Retrieval.
CoRR, 2024
AIR-Bench: Automated Heterogeneous Information Retrieval Benchmark.
CoRR, 2024
Boosting Long-Context Management via Query-Guided Activation Refilling.
CoRR, 2024
Scaling New Frontiers: Insights into Large Recommendation Models.
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CoRR, 2024
Predictive Models in Sequential Recommendations: Bridging Performance Laws with Data Quality Insights.
CoRR, 2024
Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction.
CoRR, 2024
TDDBench: A Benchmark for Training data detection.
CoRR, 2024
RecFlow: An Industrial Full Flow Recommendation Dataset.
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CoRR, 2024
Making Text Embedders Few-Shot Learners.
CoRR, 2024
Lighter And Better: Towards Flexible Context Adaptation For Retrieval Augmented Generation.
CoRR, 2024
ChemEval: A Comprehensive Multi-Level Chemical Evaluation for Large Language Models.
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CoRR, 2024
ToolACE: Winning the Points of LLM Function Calling.
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CoRR, 2024
Efficient Transfer Learning Framework for Cross-Domain Click-Through Rate Prediction.
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CoRR, 2024
DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models.
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CoRR, 2024
Denoising Pre-Training and Customized Prompt Learning for Efficient Multi-Behavior Sequential Recommendation.
CoRR, 2024
Deep Tree-based Retrieval for Efficient Recommendation: Theory and Method.
CoRR, 2024
Analytical and Empirical Study of Herding Effects in Recommendation Systems.
CoRR, 2024
Multi-agent Multi-armed Bandits with Stochastic Sharable Arm Capacities.
CoRR, 2024
DaRec: A Disentangled Alignment Framework for Large Language Model and Recommender System.
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CoRR, 2024
UniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Models.
CoRR, 2024
Dual Test-time Training for Out-of-distribution Recommender System.
CoRR, 2024
Entropy Law: The Story Behind Data Compression and LLM Performance.
CoRR, 2024
Foundations and Frontiers of Graph Learning Theory.
CoRR, 2024
Interpretable Catastrophic Forgetting of Large Language Model Fine-tuning via Instruction Vector.
CoRR, 2024
Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential Recommendation.
CoRR, 2024
PRICE: A Pretrained Model for Cross-Database Cardinality Estimation.
CoRR, 2024
Learning Partially Aligned Item Representation for Cross-Domain Sequential Recommendation.
CoRR, 2024
CELA: Cost-Efficient Language Model Alignment for CTR Prediction.
CoRR, 2024
Evaluating Concept-based Explanations of Language Models: A Study on Faithfulness and Readability.
CoRR, 2024
Understanding Privacy Risks of Embeddings Induced by Large Language Models.
CoRR, 2024
WESE: Weak Exploration to Strong Exploitation for LLM Agents.
CoRR, 2024
END4Rec: Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation.
CoRR, 2024
Re-Search for The Truth: Multi-round Retrieval-augmented Large Language Models are Strong Fake News Detectors.
CoRR, 2024
BGE M3-Embedding: Multi-Lingual, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation.
CoRR, 2024
Understanding the planning of LLM agents: A survey.
CoRR, 2024
Information Retrieval Meets Large Language Models.
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
Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation.
Proceedings of the ACM on Web Conference 2024, 2024
MDAP: A Multi-view Disentangled and Adaptive Preference Learning Framework for Cross-Domain Recommendation.
Proceedings of the Web Information Systems Engineering - WISE 2024, 2024
C-Pack: Packed Resources For General Chinese Embeddings.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Generalization Error Bounds for Two-stage Recommender Systems with Tree Structure.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Learning from Highly Sparse Spatio-temporal Data.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
FilterNet: Harnessing Frequency Filters for Time Series Forecasting.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
UniDM: A Unified Framework for Data Manipulation with Large Language Models.
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Proceedings of the Seventh Annual Conference on Machine Learning and Systems, 2024
Dataset Regeneration for Sequential Recommendation.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
RecExplainer: Aligning Large Language Models for Explaining Recommendation Models.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Adaptive Order Q-learning.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Learning-Efficient Yet Generalizable Collaborative Filtering for Item Recommendation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Out-of-Distribution Generalization via Style and Spuriousness Eliminating.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024
NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear Interpolation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Evaluating Readability and Faithfulness of Concept-based Explanations.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
A Unified Framework for Adaptive Representation Enhancement and Inversed Learning in Cross-Domain Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2024
Document Hashing by Exploiting Noisy Neighborhood Information with Fault-Tolerant Mutual-Information-Preserving VAE.
Proceedings of the Database Systems for Advanced Applications, 2024
Multi-Task Recommendation with Task Information Decoupling.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
UniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Models.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Benchmarking and Improving Compositional Generalization of Multi-aspect Controllable Text Generation.
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
Mitigate Negative Transfer with Similarity Heuristic Lifelong Prompt Tuning.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Understanding and Patching Compositional Reasoning in LLMs.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Llama2Vec: Unsupervised Adaptation of Large Language Models for Dense Retrieval.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Markov-Driven Graph Convolutional Networks for Social Spammer Detection.
IEEE Trans. Knowl. Data Eng., December, 2023
Securing recommender system via cooperative training.
World Wide Web (WWW), November, 2023
Modeling User Demand Evolution for Next-Basket Prediction.
IEEE Trans. Knowl. Data Eng., November, 2023
An Efficient and Robust Semantic Hashing Framework for Similar Text Search.
ACM Trans. Inf. Syst., October, 2023
Enhancing the Transferability of Adversarial Examples Based on Nesterov Momentum for Recommendation Systems.
IEEE Trans. Big Data, October, 2023
Influence-Driven Data Poisoning for Robust Recommender Systems.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023
Network Representation Lightening From Hashing to Quantization.
IEEE Trans. Knowl. Data Eng., May, 2023
Personal or General? A Hybrid Strategy with Multi-factors for News Recommendation.
ACM Trans. Inf. Syst., April, 2023
Decoupled Representation Learning for Attributed Networks.
IEEE Trans. Knowl. Data Eng., March, 2023
Reinforcement Routing on Proximity Graph for Efficient Recommendation.
ACM Trans. Inf. Syst., January, 2023
Deep Cross-Attention Network for Crowdfunding Success Prediction.
IEEE Trans. Multim., 2023
Model Stealing Attack against Recommender System.
CoRR, 2023
Model Stealing Attack against Graph Classification with Authenticity, Uncertainty and Diversity.
CoRR, 2023
Invariant Representation Learning via Decoupling Style and Spurious Features.
CoRR, 2023
RecExplainer: Aligning Large Language Models for Recommendation Model Interpretability.
CoRR, 2023
Deep Group Interest Modeling of Full Lifelong User Behaviors for CTR Prediction.
CoRR, 2023
1DFormer: Learning 1D Landmark Representations via Transformer for Facial Landmark Tracking.
CoRR, 2023
A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems.
CoRR, 2023
Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompt.
CoRR, 2023
Large-Scale OD Matrix Estimation with A Deep Learning Method.
CoRR, 2023
Toward Robust Recommendation via Real-time Vicinal Defense.
CoRR, 2023
Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias.
CoRR, 2023
Interactive Graph Convolutional Filtering.
CoRR, 2023
Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations.
CoRR, 2023
When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities.
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CoRR, 2023
A DeepLearning Framework for Dynamic Estimation of Origin-Destination Sequence.
CoRR, 2023
Differentiable Optimized Product Quantization and Beyond.
Proceedings of the ACM Web Conference 2023, 2023
Cooperative Retriever and Ranker in Deep Recommenders.
Proceedings of the ACM Web Conference 2023, 2023
AutoS2AE: Automate to Regularize Sparse Shallow Autoencoders for Recommendation.
Proceedings of the ACM Web Conference 2023, 2023
Improving Recommendation Fairness via Data Augmentation.
Proceedings of the ACM Web Conference 2023, 2023
Membership Inference Attacks Against Sequential Recommender Systems.
Proceedings of the ACM Web Conference 2023, 2023
RecStudio: Towards a Highly-Modularized Recommender System.
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Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
LibVQ: A Toolkit for Optimizing Vector Quantization and Efficient Neural Retrieval.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
A Simple and Robust Ensemble For Click-Through Rate Prediction.
Proceedings of the ACM RecSys Challenge 2023, Singapore, 19 September 2023, 2023
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Knowledge Distillation for High Dimensional Search Index.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
A Causality Inspired Framework for Model Interpretation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Learning Balanced Tree Indexes for Large-Scale Vector Retrieval.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Learned Index with Dynamic $\epsilon$.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Hierarchical Crowdsourcing for Data Labeling with Heterogeneous Crowd.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompts.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
GridFormer: Spatial-Temporal Transformer Network for Citywide Crowd Flow Prediction.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
Cache-Enhanced InBatch Sampling with Difficulty-Based Replacement Strategies for Learning Recommenders.
Proceedings of the Database Systems for Advanced Applications. DASFAA 2023 International Workshops, 2023
GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2023
APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Deep Task-specific Bottom Representation Network for Multi-Task Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Batch-Mix Negative Sampling for Learning Recommendation Retrievers.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Learning to Substitute Spans towards Improving Compositional Generalization.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Query-Aware Quantization for Maximum Inner Product Search.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Powerful graph of graphs neural network for structured entity analysis.
World Wide Web, 2022
HyperSoRec: Exploiting Hyperbolic User and Item Representations with Multiple Aspects for Social-aware Recommendation.
ACM Trans. Inf. Syst., 2022
Graph Convolutional Adversarial Networks for Spatiotemporal Anomaly Detection.
IEEE Trans. Neural Networks Learn. Syst., 2022
Deep Pairwise Hashing for Cold-Start Recommendation.
IEEE Trans. Knowl. Data Eng., 2022
Ranking-Based Implicit Regularization for One-Class Collaborative Filtering.
IEEE Trans. Knowl. Data Eng., 2022
A Survey on Session-based Recommender Systems.
ACM Comput. Surv., 2022
Transposed Variational Auto-encoder with Intrinsic Feature Learning for Traffic Forecasting.
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
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
Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Learning Recommenders for Implicit Feedback with Importance Resampling.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Towards Robust Recommender Systems via Triple Cooperative Defense.
Proceedings of the Web Information Systems Engineering - WISE 2022, 2022
NAS-CTR: Efficient Neural Architecture Search for Click-Through Rate Prediction.
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
BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction.
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
Improving Implicit Alternating Least Squares with Ring-based Regularization.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Resisting Graph Adversarial Attack via Cooperative Homophilous Augmentation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Recommender Forest for Efficient Retrieval.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Graph Convolution Network based Recommender Systems: Learning Guarantee and Item Mixture Powered Strategy.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
CreaGAN: An Automatic Creative Generation Framework for Display Advertising.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
Self-Supervised Text Erasing with Controllable Image Synthesis.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
Adversarial Cycle-Consistent Autoencoder for Category-Aware Out-of-Town Recommendation.
Proceedings of the Knowledge Science, Engineering and Management, 2022
TMN: Trajectory Matching Networks for Predicting Similarity.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
Attention-Cooperated Reinforcement Learning for Multi-agent Path Planning.
Proceedings of the Database Systems for Advanced Applications. DASFAA 2022 International Workshops, 2022
A Unified Transferable Model for ML-Enhanced DBMS.
Proceedings of the 12th Conference on Innovative Data Systems Research, 2022
Investigating Data Variance in Evaluations of Automatic Machine Translation Metrics.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
Visualizing the Relationship Between Encoded Linguistic Information and Task Performance.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
Anisotropic Additive Quantization for Fast Inner Product Search.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Binarized graph neural network.
World Wide Web, 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
Predicting Human Mobility with Reinforcement-Learning-Based Long-Term Periodicity Modeling.
ACM Trans. Intell. Syst. Technol., 2021
Rethinking Lifelong Sequential Recommendation with Incremental Multi-Interest Attention.
CoRR, 2021
Hybrid Encoder: Towards Efficient and Precise Native AdsRecommendation via Hybrid Transformer Encoding Networks.
CoRR, 2021
Search-oriented Differentiable Product Quantization.
CoRR, 2021
Linear-Time Self Attention with Codeword Histogram for Efficient Recommendation.
Proceedings of the WWW '21: The Web Conference 2021, 2021
A Hybrid Bandit Model with Visual Priors for Creative Ranking in Display Advertising.
Proceedings of the WWW '21: The Web Conference 2021, 2021
Automated Creative Optimization for E-Commerce Advertising.
Proceedings of the WWW '21: The Web Conference 2021, 2021
Federated Deep Knowledge Tracing.
Proceedings of the WSDM '21, 2021
Fight Fire with Fire: Towards Robust Recommender Systems via Adversarial Poisoning Training.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
xLightFM: Extremely Memory-Efficient Factorization Machine.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Learning Recommender Systems with Implicit Feedback via Soft Target Enhancement.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Meta-learning with an Adaptive Task Scheduler.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 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
Traffic4cast at NeurIPS 2022 – Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors.
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Proceedings of the NeurIPS 2022 Competition Track, 2021
Triple Adversarial Learning for Influence based Poisoning Attack in Recommender Systems.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Online Additive Quantization.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Preference-Adaptive Meta-Learning for Cold-Start Recommendation.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Matching-oriented Embedding Quantization For Ad-hoc Retrieval.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
A Lightweight Knowledge Graph Embedding Framework for Efficient Inference and Storage.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Assessing Dialogue Systems with Distribution Distances.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
Efficient Optimal Selection for Composited Advertising Creatives with Tree Structure.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Reference-Based Framework for Spatio-Temporal Trajectory Compression and Query Processing.
IEEE Trans. Knowl. Data Eng., 2020
Collaborative Filtering With Ranking-Based Priors on Unknown Ratings.
IEEE Intell. Syst., 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
Personalized Ranking with Importance Sampling.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Learning to Transfer Graph Embeddings for Inductive Graph based Recommendation.
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
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
GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Online Optimized Product Quantization.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Predicting Human Mobility with Self-attention and Feature Interaction.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020
Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
A Variational Point Process Model for Social Event Sequences.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Predicting Academic Performance for College Students: A Campus Behavior Perspective.
ACM Trans. Intell. Syst. Technol., 2019
A Novel User Representation Paradigm for Making Personalized Candidate Retrieval.
CoRR, 2019
Binarized Collaborative Filtering with Distilling Graph Convolutional Networks.
CoRR, 2019
MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Graph Convolutional Networks on User Mobility Heterogeneous Graphs for Social Relationship Inference.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Binarized Collaborative Filtering with Distilling Graph Convolutional Network.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
International Workshop on Model Selection and Parameter Tuning in Recommender Systems.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Adversarial Binary Collaborative Filtering for Implicit Feedback.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Improving One-Class Collaborative Filtering via Ranking-Based Implicit Regularizer.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Preference-Aware Task Assignment in Spatial Crowdsourcing.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
GeoMF++: Scalable Location Recommendation via Joint Geographical Modeling and Matrix Factorization.
ACM Trans. Inf. Syst., 2018
Scalable Content-Aware Collaborative Filtering for Location Recommendation.
IEEE Trans. Knowl. Data Eng., 2018
Jointly Recommending Library Books and Predicting Academic Performance: A Mutual Reinforcement Perspective.
J. Comput. Sci. Technol., 2018
Advanced forecasting of career choices for college students based on campus big data.
Frontiers Comput. Sci., 2018
Discrete Deep Learning for Fast Content-Aware Recommendation.
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
Discrete Ranking-based Matrix Factorization with Self-Paced Learning.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Neural Memory Streaming Recommender Networks with Adversarial Training.
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
Binarized attributed network embedding.
Proceedings of the IEEE International Conference on Data Mining, 2018
MT-MCD: A Multi-task Cognitive Diagnosis Framework for Student Assessment.
Proceedings of the Database Systems for Advanced Applications, 2018
Attention-Based Transactional Context Embedding for Next-Item Recommendation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Sparse Modeling-Based Sequential Ensemble Learning for Effective Outlier Detection in High-Dimensional Numeric Data.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Mobile Check-In Recommendation.
Proceedings of the Encyclopedia of GIS., 2017
Overview of the NLPCC-ICCPOL 2017 Shared Task: Social Media User Modeling.
Proceedings of the Natural Language Processing and Chinese Computing, 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
Learning User's Intrinsic and Extrinsic Interests for Point-of-Interest Recommendation: A Unified Approach.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Predicting Academic Performance via Semi-supervised Learning with Constructed Campus Social Network.
Proceedings of the Database Systems for Advanced Applications, 2017
GPS-Simulated Trajectory Detection.
Proceedings of the Database Systems for Advanced Applications, 2017
Discrete Personalized Ranking for Fast Collaborative Filtering from Implicit Feedback.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Predicting Social Status via Social Networks: A Case Study on University, Occupation, and Region.
CoRR, 2016
Exploiting Dining Preference for Restaurant Recommendation.
Proceedings of the 25th International Conference on World Wide Web, 2016
Collaborative Knowledge Base Embedding for Recommender Systems.
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
A Relaxed Ranking-Based Factor Model for Recommender System from Implicit Feedback.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 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
Constraint Free Preference Preserving Hashing for Fast Recommendation.
Proceedings of the 2016 IEEE Global Communications Conference, 2016
Forecasting Career Choice for College Students Based on Campus Big Data.
Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016
2015
Geo-social media data analytic for user modeling and location-based services.
ACM SIGSPATIAL Special, 2015
Mining Location-based Social Networks: A Predictive Perspective.
IEEE Data Eng. Bull., 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
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
Mining consumer impulsivity from offline and online behavior.
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2015
2014
Mining Check-In History for Personalized Location Naming.
ACM Trans. Intell. Syst. Technol., 2014
Indigenization of Urban Mobility.
CoRR, 2014
Mining novelty-seeking trait across heterogeneous domains.
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
2013
Collaborative filtering meets next check-in location prediction.
Proceedings of the 22nd International World Wide Web Conference, 2013
We know how you live: exploring the spectrum of urban lifestyles.
Proceedings of the Conference on Online Social Networks, 2013
2012
Efficient processing of top-k queries: selective NRA algorithms.
J. Intell. Inf. Syst., 2012
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