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Chao Wang

University of Science and Technology of China, School of Computer Science and Technology, Hefei, China

19 papers at tracked venues · 15 at CORE A* · active 2024–2026

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Venues

IJCAI ×3SIGIR ×3SIGKDD ×3WWW ×3AAAI ×2ACL ×2NeurIPS ×2EMNLP ×1

Frequent coauthors

Xi Chen
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Wei Wu
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Shengzhe Zhang
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Tianfu Wang
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Yongwen Ren
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Ranxu Zhang
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Lingfeng Liu
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Jiaming Leng
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Hanzhe Li
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Leilei Ding
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Yunqin Zhu
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Shuyao Wang
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Papers

  1. Enhancing Conversational Recommender Systems with Tree-Structured Knowledge and Pretrained Language Models
    AAAI 2026 ·
    Yongwen Ren
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  2. GenDis: Generative-Discriminative Dual-View Co-Training for Generalized Category Discovery
    ACL 2026 ·
    Xi Chen
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  3. MCLMR: A Model-Agnostic Causal Learning Framework for Multi-Behavior Recommendation
    WWW 2026 ·
    Ranxu Zhang
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  4. Rethinking Popularity Bias in Collaborative Filtering via Analytical Vector Decomposition
    SIGKDD 2026 ·
    Lingfeng Liu
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  5. TransLLM: A Unified Multi-Task Large Language Model for Urban Transportation via Learnable Prompting
    ACL 2026 ·
    Jiaming Leng
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  6. Can LLMs Enhance Fairness in Recommendation Systems? A Data Augmentation Approach
    SIGIR 2025 ·
    Hanzhe Li
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  7. FACE: A General Framework for Mapping Collaborative Filtering Embeddings into LLM Tokens
    NeurIPS 2025 · Chao Wang
  8. Hierarchical Time-Aware Mixture of Experts for Multi-Modal Sequential Recommendation
    WWW 2025 ·
    Shengzhe Zhang
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  9. Structure-Enhanced Protein Instruction Tuning: Towards General-Purpose Protein Understanding with LLMs
    SIGKDD 2025 ·
    Wei Wu
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  10. TokenSelect: Efficient Long-Context Inference and Length Extrapolation for LLMs via Dynamic Token-Level KV Cache Selection
    EMNLP 2025 ·
    Wei Wu
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  11. AFDGCF: Adaptive Feature De-correlation Graph Collaborative Filtering for Recommendations
    SIGIR 2024 ·
    Wei Wu
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  12. COMET: NFT Price Prediction with Wallet Profiling
    SIGKDD 2024 ·
    Tianfu Wang
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  13. DGR: A General Graph Desmoothing Framework for Recommendation via Global and Local Perspectives
    IJCAI 2024 ·
    Leilei Ding
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  14. FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Resource Allocation
    IJCAI 2024 ·
    Tianfu Wang
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  15. Graph Signal Diffusion Model for Collaborative Filtering
    SIGIR 2024 ·
    Yunqin Zhu
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  16. Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking
    NeurIPS 2024 ·
    Xi Chen
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  17. Pre-DyGAE: Pre-training Enhanced Dynamic Graph Autoencoder for Occupational Skill Demand Forecasting
    IJCAI 2024 ·
    Xi Chen
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  18. Temporal Graph Contrastive Learning for Sequential Recommendation
    AAAI 2024 ·
    Shengzhe Zhang
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  19. Unleashing the Power of Knowledge Graph for Recommendation via Invariant Learning
    WWW 2024 ·
    Shuyao Wang
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