Wei Zhang
Orcid: 0000-0001-6763-8146Affiliations:
- East China Normal University, School of Computer Science and Technology, Shanghai, China
- Tsinghua University, Department of Computer Science and Technology, Tsinghua National Laboratory for Information Science and Technology, Beijing, China (PhD 2016)
According to our database1,
Wei Zhang authored at least 119 papers
between 2013 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
CoRR, May, 2026
IEEE Trans. Circuits Syst. Video Technol., April, 2026
ASPIRE: Make Spectral Graph Collaborative Filtering Great Again via Adaptive Filter Learning.
CoRR, April, 2026
2025
Beyond Semantic Understanding: Preserving Collaborative Frequency Components in LLM-based Recommendation.
CoRR, August, 2025
IEEE Trans. Knowl. Data Eng., June, 2025
ACM Trans. Inf. Syst., May, 2025
IEEE Trans. Knowl. Data Eng., April, 2025
CoRR, April, 2025
IEEE Trans. Neural Networks Learn. Syst., March, 2025
Every Sample Matters: Leveraging Mixture-of-Experts and High-Quality Data for Efficient and Accurate Code LLM.
CoRR, March, 2025
IEEE Trans. Knowl. Data Eng., January, 2025
IEEE Trans. Image Process., 2025
Exploring Feature-based Knowledge Distillation for Recommender System: A Frequency Perspective.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025
Collaborative Filtering Meets Spectrum Shift: Connecting User-Item Interaction with Graph-Structured Side Information.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025
Incomplete Multi-View Drug Recommendation via Multi-Level Representation Learning and Curriculum Learning.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025
Towards Boosting LLMs-driven Relevance Modeling with Progressive Retrieved Behavior-augmented Prompting.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
LIFBench: Evaluating the Instruction Following Performance and Stability of Large Language Models in Long-Context Scenarios.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
STAIR: Manipulating Collaborative and Multimodal Information for E-Commerce Recommendation.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
2024
Modeling Dynamic Item Tendency Bias in Sequential Recommendation With Causal Intervention.
IEEE Trans. Knowl. Data Eng., December, 2024
StableGCN: Decoupling and Reconciling Information Propagation for Collaborative Filtering.
IEEE Trans. Knowl. Data Eng., June, 2024
Knowledge-Aware Collaborative Filtering With Pre-Trained Language Model for Personalized Review-Based Rating Prediction.
IEEE Trans. Knowl. Data Eng., March, 2024
Improving the performance and explainability of knowledge tracing via Markov blanket.
Inf. Process. Manag., March, 2024
IEEE Trans. Pattern Anal. Mach. Intell., February, 2024
IEEE Trans. Learn. Technol., 2024
CNNSum: Exploring Long-Context Summarization with Large Language Models in Chinese Novels.
CoRR, 2024
Are LLM-based Recommenders Already the Best? Simple Scaled Cross-entropy Unleashes the Potential of Traditional Sequential Recommenders.
CoRR, 2024
CoRR, 2024
Understanding the Role of Cross-Entropy Loss in Fairly Evaluating Large Language Model-based Recommendation.
CoRR, 2024
A Comprehensive Exploration of Personalized Learning in Smart Education: From Student Modeling to Personalized Recommendations.
CoRR, 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024
Capturing Homogeneous Influence among Students: Hypergraph Cognitive Diagnosis for Intelligent Education Systems.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Leveraging Pedagogical Theories to Understand Student Learning Process with Graph-based Reasonable Knowledge Tracing.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Interpretable Knowledge Tracing via Response Influence-based Counterfactual Reasoning.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
DRFormer: Multi-Scale Transformer Utilizing Diverse Receptive Fields for Long Time-Series Forecasting.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Pattern Recognit., November, 2023
Fine-Grained Interaction Modeling with Multi-Relational Transformer for Knowledge Tracing.
ACM Trans. Inf. Syst., October, 2023
Social Link Inference via Multiview Matching Network From Spatiotemporal Trajectories.
IEEE Trans. Neural Networks Learn. Syst., April, 2023
Learning Social Relations and Spatiotemporal Trajectories for Next Check-in Inference.
IEEE Trans. Neural Networks Learn. Syst., April, 2023
Incorporating Link Prediction into Multi-Relational Item Graph Modeling for Session-Based Recommendation.
IEEE Trans. Knowl. Data Eng., March, 2023
Can LLMs like GPT-4 outperform traditional AI tools in dementia diagnosis? Maybe, but not today.
CoRR, 2023
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Beyond Semantics: Learning a Behavior Augmented Relevance Model with Self-supervised Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Learning from Substitutable and Complementary Relations for Graph-based Sequential Product Recommendation.
ACM Trans. Inf. Syst., 2022
Hierarchical Multiagent Reinforcement Learning for Allocating Guaranteed Display Ads.
IEEE Trans. Neural Networks Learn. Syst., 2022
Attentive Representation Learning With Adversarial Training for Short Text Clustering.
IEEE Trans. Knowl. Data Eng., 2022
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Neuro-Symbolic Interpretable Collaborative Filtering for Attribute-based Recommendation.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Proceedings of the Wireless Algorithms, Systems, and Applications, 2022
Proceedings of the IEEE International Conference on Web Services, 2022
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning.
CoRR, 2021
Social Link Inference via Multi-View Matching Network from Spatio-Temporal Trajectories.
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Susceptible Temporal Patterns Discovery for Electronic Health Records via Adversarial Attack.
Proceedings of the Database Systems for Advanced Applications, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Learning Dual Dynamic Representations on Time-Sliced User-Item Interaction Graphs for Sequential Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Beyond Clicks: Modeling Multi-Relational Item Graph for Session-Based Target Behavior Prediction.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Group-Aware Long- and Short-Term Graph Representation Learning for Sequential Group Recommendation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
HyFea: Winning Solution to Social Media Popularity Prediction for Multimedia Grand Challenge 2020.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020
Proceedings of the Database Systems for Advanced Applications, 2020
Proceedings of the Database Systems for Advanced Applications, 2020
Coupled Graph Convolutional Neural Networks for Text-Oriented Clinical Diagnosis Inference.
Proceedings of the Database Systems for Advanced Applications, 2020
Learning Long- and Short-Term User Literal-Preference with Multimodal Hierarchical Transformer Network for Personalized Image Caption.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Improving Domain-Adapted Sentiment Classification by Deep Adversarial Mutual Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Transparent Classification with Multilayer Logical Perceptrons and Random Binarization.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
基于维基百科类别图的推特用户兴趣挖掘 (Mining User Interests on Twitter Using Wikipedia Category Graph).
计算机科学, 2019
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019
Content-Based Video Relevance Prediction with Multi-view Multi-level Deep Interest Network.
Proceedings of the 27th ACM International Conference on Multimedia, 2019
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019
Continuous Patient-Centric Sequence Generation via Sequentially Coupled Adversarial Learning.
Proceedings of the Database Systems for Advanced Applications, 2019
Proceedings of the Database Systems for Advanced Applications, 2019
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
2018
User-guided Hierarchical Attention Network for Multi-modal Social Image Popularity Prediction.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018
Proceedings of the 2018 Text Analysis Conference, 2018
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Supervised Reinforcement Learning with Recurrent Neural Network for Dynamic Treatment Recommendation.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Learning Sequential Correlation for User Generated Textual Content Popularity Prediction.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the Database Systems for Advanced Applications, 2018
Proceedings of the Database Systems for Advanced Applications, 2018
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
Co-Attending Free-Form Regions and Detections With Multi-Modal Multiplicative Feature Embedding for Visual Question Answering.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017
Proceedings of the 2017 ACM on Multimedia Conference, 2017
2016
Integrating Topic and Latent Factors for Scalable Personalized Review-based Rating Prediction.
IEEE Trans. Knowl. Data Eng., 2016
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
2015
A Collective Bayesian Poisson Factorization Model for Cold-start Local Event Recommendation.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Prior-Based Dual Additive Latent Dirichlet Allocation for User-Item Connected Documents.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
STREAMCUBE: Hierarchical spatio-temporal hashtag clustering for event exploration over the Twitter stream.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015
Location and Time Aware Social Collaborative Retrieval for New Successive Point-of-Interest Recommendation.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015
2013
Combining latent factor model with location features for event-based group recommendation.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
Integrating Semantic Relatedness and Words' Intrinsic Features for Keyword Extraction.
Proceedings of the IJCAI 2013, 2013