2025
Guest Editorial: Special Issue on Trustworthy Federated Learning.
IEEE Trans. Neural Networks Learn. Syst., January, 2025
2024
FedGE: Break the Scalability Limitation of Graph Neural Network With Federated Graph Embedding.
IEEE Trans. Big Data, December, 2024
Emerging trends in federated learning: from model fusion to federated X learning.
Int. J. Mach. Learn. Cybern., September, 2024
TraverseNet: Unifying Space and Time in Message Passing for Traffic Forecasting.
IEEE Trans. Neural Networks Learn. Syst., February, 2024
Dyformer: A dynamic transformer-based architecture for multivariate time series classification.
Inf. Sci., January, 2024
Exploring explicit and implicit graph learning for multivariate time series imputation.
Eng. Appl. Artif. Intell., January, 2024
A fine-grained self-adapting prompt learning approach for few-shot learning with pre-trained language models.
Knowl. Based Syst., 2024
Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach.
CoRR, 2024
Federated Foundation Models on Heterogeneous Time Series.
CoRR, 2024
Towards Next-Generation LLM-based Recommender Systems: A Survey and Beyond.
CoRR, 2024
DMGNN: Detecting and Mitigating Backdoor Attacks in Graph Neural Networks.
CoRR, 2024
Beyond Dataset Watermarking: Model-Level Copyright Protection for Code Summarization Models.
CoRR, 2024
Personalized Item Representations in Federated Multimodal Recommendation.
CoRR, 2024
WALL-E: World Alignment by Rule Learning Improves World Model-based LLM Agents.
CoRR, 2024
Influence-oriented Personalized Federated Learning.
CoRR, 2024
Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach.
CoRR, 2024
Personalized Interpretation on Federated Learning: A Virtual Concepts approach.
CoRR, 2024
Navigating the Future of Federated Recommendation Systems with Foundation Models.
CoRR, 2024
Multi-Level Additive Modeling for Structured Non-IID Federated Learning.
CoRR, 2024
When Federated Recommendation Meets Cold-Start Problem: Separating Item Attributes and User Interactions.
Proceedings of the ACM on Web Conference 2024, 2024
FL@FM-TheWebConf'24: International Workshop on Federated Foundation Models for the Web.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
Boosting Patient Representation Learning via Graph Contrastive Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024
Dual-Personalizing Adapter for Federated Foundation Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
GPFedRec: Graph-Guided Personalization for Federated Recommendation.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
BADFSS: Backdoor Attacks on Federated Self-Supervised Learning.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Federated Adaptation for Foundation Model-based Recommendations.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
The Rise of Federated Intelligence: From Federated Foundation Models Toward Collective Intelligence.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement Learning.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Federated Prompt Learning for Weather Foundation Models on Devices.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Client-Supervised Federated Learning: Towards One-Model-for-All Personalization.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024
Federated Recommendation with Additive Personalization.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Extractive Medical Entity Disambiguation with Memory Mechanism and Memorized Entity Information.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Re-Reading Improves Reasoning in Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
CCPrefix: Counterfactual Contrastive Prefix-Tuning for Many-Class Classification.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024
Pre-training Cross-Modal Retrieval by Expansive Lexicon-Patch Alignment.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Claimsformer: Pretrained Transformer for Administrative Claims Data to Predict Chronic Conditions.
Proceedings of the AI 2024: Advances in Artificial Intelligence, 2024
Synergistic Interplay between Search and Large Language Models for Information Retrieval.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Retrieval-Augmented Retrieval: Large Language Models are Strong Zero-Shot Retriever.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Fine-Grained Distillation for Long Document Retrieval.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Beyond Low-Pass Filtering: Graph Convolutional Networks With Automatic Filtering.
IEEE Trans. Knowl. Data Eng., July, 2023
Attentional Gated Res2Net for Multivariate Time Series Classification.
Neural Process. Lett., April, 2023
Multi-center federated learning: clients clustering for better personalization.
World Wide Web (WWW), January, 2023
Causal Reinforcement Learning: A Survey.
Trans. Mach. Learn. Res., 2023
UbiMeta: A Ubiquitous Operating System Model for Metaverse.
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Int. J. Crowd Sci., 2023
Foundation Models for Weather and Climate Data Understanding: A Comprehensive Survey.
CoRR, 2023
Thread of Thought Unraveling Chaotic Contexts.
CoRR, 2023
Curriculum Reinforcement Learning via Morphology-Environment Co-Evolution.
CoRR, 2023
Re-Reading Improves Reasoning in Language Models.
CoRR, 2023
One-Shot Pruning for Fast-adapting Pre-trained Models on Devices.
CoRR, 2023
Causal Reinforcement Learning: A Survey.
CoRR, 2023
Spatial-temporal Prompt Learning for Federated Weather Forecasting.
CoRR, 2023
IFedRec: Item-Guided Federated Aggregation for Cold-Start.
CoRR, 2023
Graph-guided Personalization for Federated Recommendation.
CoRR, 2023
Knowledge Refinement via Interaction Between Search Engines and Large Language Models.
CoRR, 2023
Large Language Models are Strong Zero-Shot Retriever.
CoRR, 2023
Neural Time Series Analysis with Fourier Transform: A Survey.
CoRR, 2023
Voting from Nearest Tasks: Meta-Vote Pruning of Pre-trained Models for Downstream Tasks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023
Is Heterogeneity Notorious? Taming Heterogeneity to Handle Test-Time Shift in Federated Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Structured Federated Learning through Clustered Additive Modeling.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
UnifieR: A Unified Retriever for Large-Scale Retrieval.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Dual Personalization on Federated Recommendation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Does Continual Learning Equally Forget All Parameters?
Proceedings of the International Conference on Machine Learning, 2023
Continual Task Allocation in Meta-Policy Network via Sparse Prompting.
Proceedings of the International Conference on Machine Learning, 2023
Personalization Disentanglement for Federated Learning.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023
Improving Cross-modal Alignment for Text-Guided Image Inpainting.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
Multimodal Event Transformer for Image-guided Story Ending Generation.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
Style-Aware Contrastive Learning for Multi-Style Image Captioning.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023
Concept-Guided Interpretable Federated Learning.
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023
WeightRelay: Efficient Heterogeneous Federated Learning on Time Series.
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023
From Time Series to Multi-modality: Classifying Multivariate Time Series via Both 1D and 2D Representations.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023
Improving Open-Domain Answer Sentence Selection by Distributed Clients with Privacy Preservation.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023
Soft Prompt Transfer for Zero-Shot and Few-Shot Learning in EHR Understanding.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023
Multi-level Transformer for Cancer Outcome Prediction in Large-Scale Claims Data.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023
Towards Robust Ranker for Text Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Improving the Robustness of Summarization Systems with Dual Augmentation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Extracting Local Reasoning Chains of Deep Neural Networks.
Trans. Mach. Learn. Res., 2022
SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning.
Trans. Mach. Learn. Res., 2022
Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy.
IEEE Trans. Knowl. Data Eng., 2022
Deep neighbor-aware embedding for node clustering in attributed graphs.
Pattern Recognit., 2022
Fine-Grained Distillation for Long Document Retrieval.
CoRR, 2022
CCPrompt: Counterfactual Contrastive Prompt-Tuning for Many-Class Classification.
CoRR, 2022
Unsupervised Knowledge Graph Construction and Event-centric Knowledge Infusion for Scientific NLI.
CoRR, 2022
FedNoiL: A Simple Two-Level Sampling Method for Federated Learning with Noisy Labels.
CoRR, 2022
Personalized Federated Learning With Structure.
CoRR, 2022
On the Convergence of Clustered Federated Learning.
CoRR, 2022
EventBERT: A Pre-Trained Model for Event Correlation Reasoning.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Federated Learning Operations (FLOps): Challenges, Lifecycle and Approaches.
Proceedings of the International Conference on Technologies and Applications of Artificial Intelligence, 2022
Federated Learning from Pre-Trained Models: A Contrastive Learning Approach.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Hierarchical Relation-Guided Type-Sentence Alignment for Long-Tail Relation Extraction with Distant Supervision.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
Understand before Answer: Improve Temporal Reading Comprehension via Precise Question Understanding.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Personalized Federated Learning With a Graph.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Adaptive Graph Recurrent Network for Multivariate Time Series Imputation.
Proceedings of the Neural Information Processing - 29th International Conference, 2022
EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning.
Proceedings of the International Conference on Machine Learning, 2022
Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Positive Unlabeled Learning by Semi-Supervised Learning.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
Robust Clustered Federated Learning with Bootstrap Median-of-Means.
Proceedings of the Web and Big Data - 6th International Joint Conference, 2022
Positive Unlabeled Learning by Sample Selection and Prototype Refinement.
Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022
Personalized Federated Learning with Robust Clustering Against Model Poisoning.
Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022
ClarET: Pre-training a Correlation-Aware Context-To-Event Transformer for Event-Centric Generation and Classification.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
FedProto: Federated Prototype Learning across Heterogeneous Clients.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
A Comprehensive Survey on Graph Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2021
Exploring BCI Control in Smart Environments: Intention Recognition Via EEG Representation Enhancement Learning.
ACM Trans. Knowl. Discov. Data, 2021
Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications.
IEEE Trans. Comput. Soc. Syst., 2021
Episodic memory governs choices: An RNN-based reinforcement learning model for decision-making task.
Neural Networks, 2021
MHieR-encoder: Modelling the high-frequency changes across stocks.
Knowl. Based Syst., 2021
TraverseNet: Unifying Space and Time in Message Passing.
CoRR, 2021
Federated Learning for Privacy-Preserving Open Innovation Future on Digital Health.
CoRR, 2021
Federated Learning for Open Banking.
CoRR, 2021
MIMO: Mutual Integration of Patient Journey and Medical Ontology for Healthcare Representation Learning.
CoRR, 2021
FedProto: Federated Prototype Learning over Heterogeneous Devices.
CoRR, 2021
Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning.
CoRR, 2021
Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion.
Proceedings of the WWW '21: The Web Conference 2021, 2021
CO-PILOT: COllaborative Planning and reInforcement Learning On sub-Task curriculum.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Juvenile Refractive Power Prediction Based on Corneal Curvature and Axial Length via a Domain Knowledge Embedding Network.
Proceedings of the Ophthalmic Medical Image Analysis - 8th International Workshop, 2021
Hierarchical Features Integration and Attention Iteration Network for Juvenile Refractive Power Prediction.
Proceedings of the Neural Information Processing - 28th International Conference, 2021
Isometric Propagation Network for Generalized Zero-shot Learning.
Proceedings of the 9th International Conference on Learning Representations, 2021
A Universal Representation Transformer Layer for Few-Shot Image Classification.
Proceedings of the 9th International Conference on Learning Representations, 2021
Sequential Diagnosis Prediction with Transformer and Ontological Representation.
Proceedings of the IEEE International Conference on Data Mining, 2021
Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Reasoning over Entity-Action-Location Graph for Procedural Text Understanding.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Task Aligned Generative Meta-learning for Zero-shot Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Federated Learning for Open Banking.
Proceedings of the Federated Learning - Privacy and Incentive, 2020
Decentralized Knowledge Acquisition for Mobile Internet Applications.
World Wide Web, 2020
AMRNN: attended multi-task recurrent neural networks for dynamic illness severity prediction.
World Wide Web, 2020
Learning Graph Embedding With Adversarial Training Methods.
IEEE Trans. Cybern., 2020
Clustering social audiences in business information networks.
Pattern Recognit., 2020
Multi-Center Federated Learning.
CoRR, 2020
Semantic Triple Encoder for Fast Open-Set Link Prediction.
CoRR, 2020
Rethinking 1D-CNN for Time Series Classification: A Stronger Baseline.
CoRR, 2020
Measuring Time-Sensitive and Topic-Specific Influence in Social Networks With LSTM and Self-Attention.
IEEE Access, 2020
Self-attention Enhanced Patient Journey Understanding in Healthcare System.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020
Confusable Learning for Large-Class Few-Shot Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020
Cooperative Heterogeneous Deep Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Interpretable Time-series Classification on Few-shot Samples.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Cross-Graph: Robust and Unsupervised Embedding for Attributed Graphs with Corrupted Structure.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
BiteNet: Bidirectional Temporal Encoder Network to Predict Medical Outcomes.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Improving Long-Tail Relation Extraction with Collaborating Relation-Augmented Attention.
Proceedings of the 28th International Conference on Computational Linguistics, 2020
RatE: Relation-Adaptive Translating Embedding for Knowledge Graph Completion.
Proceedings of the 28th International Conference on Computational Linguistics, 2020
Competitive and Cooperative Heterogeneous Deep Reinforcement Learning.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020
One-Shot Learning for Long-Tail Visual Relation Detection.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Attribute Propagation Network for Graph Zero-Shot Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Going Deep: Graph Convolutional Ladder-Shape Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Cost-Sensitive Parallel Learning Framework for Insurance Intelligence Operation.
IEEE Trans. Ind. Electron., 2019
Salient Subsequence Learning for Time Series Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., 2019
Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering.
CoRR, 2019
Decentralized Learning with Average Difference Aggregation for Proactive Online Social Care.
CoRR, 2019
Learning to Propagate for Graph Meta-Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Tensorized Self-Attention: Efficiently Modeling Pairwise and Global Dependencies Together.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
Adversarial Action Data Augmentation for Similar Gesture Action Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2019
Attentive Dual Embedding for Understanding Medical Concepts in Electronic Health Records.
Proceedings of the International Joint Conference on Neural Networks, 2019
Learning Private Neural Language Modeling with Attentive Aggregation.
Proceedings of the International Joint Conference on Neural Networks, 2019
DAGCN: Dual Attention Graph Convolutional Networks.
Proceedings of the International Joint Conference on Neural Networks, 2019
Graph WaveNet for Deep Spatial-Temporal Graph Modeling.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Attributed Graph Clustering: A Deep Attentional Embedding Approach.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Collective Protection: Preventing Sensitive Inferences via Integrative Transformation.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
Temporal Self-Attention Network for Medical Concept Embedding.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Detecting Suicidal Ideation with Data Protection in Online Communities.
Proceedings of the Database Systems for Advanced Applications, 2019
Interactive Deep Metric Learning for Healthcare Cohort Discovery.
Proceedings of the Data Mining - 17th Australasian Conference, AusDM 2019, Adelaide, SA, 2019
Distributionally Robust Semi-Supervised Learning for People-Centric Sensing.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Dual influence embedded social recommendation.
World Wide Web, 2018
Fast Directional Self-Attention Mechanism.
CoRR, 2018
Adversarially Regularized Graph Autoencoder.
CoRR, 2018
Supervised Learning for Suicidal Ideation Detection in Online User Content.
Complex., 2018
Cost-sensitive Hybrid Neural Networks for Heterogeneous and Imbalanced Data.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Cross-Domain Deep Learning Approach For Multiple Financial Market Prediction.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
NeuRec: On Nonlinear Transformation for Personalized Ranking.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Multi-modality Sensor Data Classification with Selective Attention.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Adversarially Regularized Graph Autoencoder for Graph Embedding.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling.
Proceedings of the 6th International Conference on Learning Representations, 2018
Dynamic Illness Severity Prediction via Multi-task RNNs for Intensive Care Unit.
Proceedings of the IEEE International Conference on Data Mining, 2018
DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Trace Ratio Optimization With Feature Correlation Mining for Multiclass Discriminant Analysis.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Learning Multiple Diagnosis Codes for ICU Patients with Local Disease Correlation Mining.
ACM Trans. Knowl. Discov. Data, 2017
Task Sensitive Feature Exploration and Learning for Multitask Graph Classification.
IEEE Trans. Cybern., 2017
Boosting for graph classification with universum.
Knowl. Inf. Syst., 2017
Collective Hyping Detection System for Identifying Online Spam Activities.
IEEE Intell. Syst., 2017
Safe Medicine Recommendation via Medical Knowledge Graph Embedding.
CoRR, 2017
Universal network representation for heterogeneous information networks.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
MGAE: Marginalized Graph Autoencoder for Graph Clustering.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
Graph Ladder Networks for Network Classification.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
2016
Compact representation for large-scale unconstrained video analysis.
World Wide Web, 2016
Towards Anomalous Diffusion Sources Detection in a Large Network.
ACM Trans. Internet Techn., 2016
Online Learning from Trapezoidal Data Streams.
IEEE Trans. Knowl. Data Eng., 2016
Diagnosis Code Assignment Using Sparsity-Based Disease Correlation Embedding.
IEEE Trans. Knowl. Data Eng., 2016
Multiple graph unsupervised feature selection.
Signal Process., 2016
Exploring Heterogeneous Product Networks for Discovering Collective Marketing Hyping Behavior.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016
Co-clustering enterprise social networks.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Evolutionary lazy learning for Naive Bayes classification.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Inferring Latent Network from Cascade Data for Dynamic Social Recommendation.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
Global and Local Influence-based Social Recommendation.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
Robust Semi-Supervised Learning through Label Aggregation.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
Dynamic Concept Composition for Zero-Example Event Detection.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
Finding the best not the most: regularized loss minimization subgraph selection for graph classification.
Pattern Recognit., 2015
Discovering Sequential Rental Patterns by Fleet Tracking.
Proceedings of the Data Science - Second International Conference, 2015
Towards Mining Trapezoidal Data Streams.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015
Invariant Event Tracking on Social Networks.
Proceedings of the Database Systems for Advanced Applications, 2015
SocialTrail: Recommending Social Trajectories from Location-Based Social Networks.
Proceedings of the Databases Theory and Applications, 2015
Coupled Collaborative Filtering for Context-aware Recommendation.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
Instance-based and feature-based classification enhancement for short & sparse texts
PhD thesis, 2014
2013
Optimal Cloud Resource Auto-Scaling for Web Applications.
Proceedings of the 13th IEEE/ACM International Symposium on Cluster, 2013
Graph Based Feature Augmentation for Short and Sparse Text Classification.
Proceedings of the Advanced Data Mining and Applications, 9th International Conference, 2013
2012
TCSST: transfer classification of short & sparse text using external data.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012
2011
Scaling-Up Item-Based Collaborative Filtering Recommendation Algorithm Based on Hadoop.
Proceedings of the World Congress on Services, 2011