PPaperPicks

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

DBLP profile ↗ORCID 0000-0001-7717-447X ↗Homepage ↗

Venues

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

Frequent coauthors

Hui Xiong
×13
Chuan Qin
×7
Dazhong Shen
×7
Yanyong Zhang
×5
Liyi Chen
×5
Tianfu Wang
×4
Xi Chen
×3
Hengshu Zhu
×3
Bing Yin
×3
Wei Wu
×3
Hao Li
×2
Lingfeng Liu
×2

Papers

  1. Enhancing Conversational Recommender Systems with Tree-Structured Knowledge and Pretrained Language Models
    AAAI 2026 ·
    Yongwen Ren
    , Chao Wang,
    Peng Du
    ,
    Chuan Qin
    ,
    Dazhong Shen
    ,
    Hui Xiong
  2. GenDis: Generative-Discriminative Dual-View Co-Training for Generalized Category Discovery
    ACL 2026 ·
    Xi Chen
    ,
    Chuan Qin
    ,
    Jinpeng Li
    ,
    Shasha Hu
    , Chao Wang,
    Hengshu Zhu
    ,
    Hui Xiong
  3. MCLMR: A Model-Agnostic Causal Learning Framework for Multi-Behavior Recommendation
    WWW 2026 ·
    Ranxu Zhang
    ,
    Junjie Meng
    ,
    Ying Sun
    ,
    Ziqi Xu
    ,
    Bing Yin
    ,
    Hao Li
    ,
    Yanyong Zhang
    , Chao Wang
  4. Rethinking Popularity Bias in Collaborative Filtering via Analytical Vector Decomposition
    SIGKDD 2026 ·
    Lingfeng Liu
    ,
    Yixin Song
    ,
    Dazhong Shen
    ,
    Bing Yin
    ,
    Hao Li
    ,
    Yanyong Zhang
    , Chao Wang
  5. TransLLM: A Unified Multi-Task Large Language Model for Urban Transportation via Learnable Prompting
    ACL 2026 ·
    Jiaming Leng
    ,
    Yunying Bi
    ,
    Chuan Qin
    ,
    Zhenya Huang
    ,
    Bing Yin
    ,
    Haojie Ren
    ,
    Yanyong Zhang
    , Chao Wang
  6. Can LLMs Enhance Fairness in Recommendation Systems? A Data Augmentation Approach
    SIGIR 2025 ·
    Hanzhe Li
    ,
    Dazhong Shen
    , Chao Wang,
    Yuting Liu
    ,
    Jingjing Gu
  7. FACE: A General Framework for Mapping Collaborative Filtering Embeddings into LLM Tokens
    NeurIPS 2025 · Chao Wang,
    Yixin Song
    ,
    Jinhui Ye
    ,
    Chuan Qin
    ,
    Dazhong Shen
    ,
    Lingfeng Liu
    ,
    Xiang Wang
    ,
    Yanyong Zhang
  8. Hierarchical Time-Aware Mixture of Experts for Multi-Modal Sequential Recommendation
    WWW 2025 ·
    Shengzhe Zhang
    ,
    Liyi Chen
    ,
    Dazhong Shen
    , Chao Wang,
    Hui Xiong
  9. Structure-Enhanced Protein Instruction Tuning: Towards General-Purpose Protein Understanding with LLMs
    SIGKDD 2025 ·
    Wei Wu
    , Chao Wang,
    Liyi Chen
    ,
    Mingze Yin
    ,
    Yiheng Zhu
    ,
    Kun Fu
    ,
    Jieping Ye
    ,
    Hui Xiong
    ,
    Zheng Wang
  10. TokenSelect: Efficient Long-Context Inference and Length Extrapolation for LLMs via Dynamic Token-Level KV Cache Selection
    EMNLP 2025 ·
    Wei Wu
    ,
    Zhuoshi Pan
    ,
    Kun Fu
    , Chao Wang,
    Liyi Chen
    ,
    Yunchu Bai
    ,
    Tianfu Wang
    ,
    Zheng Wang
    ,
    Hui Xiong
  11. AFDGCF: Adaptive Feature De-correlation Graph Collaborative Filtering for Recommendations
    SIGIR 2024 ·
    Wei Wu
    , Chao Wang,
    Dazhong Shen
    ,
    Chuan Qin
    ,
    Liyi Chen
    ,
    Hui Xiong
  12. COMET: NFT Price Prediction with Wallet Profiling
    SIGKDD 2024 ·
    Tianfu Wang
    ,
    Liwei Deng
    , Chao Wang,
    Jianxun Lian
    ,
    Yue Yan
    ,
    Nicholas Jing Yuan
    ,
    Qi Zhang
    ,
    Hui Xiong
  13. DGR: A General Graph Desmoothing Framework for Recommendation via Global and Local Perspectives
    IJCAI 2024 ·
    Leilei Ding
    ,
    Dazhong Shen
    , Chao Wang,
    Tianfu Wang
    ,
    Le Zhang
    ,
    Yanyong Zhang
  14. FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Resource Allocation
    IJCAI 2024 ·
    Tianfu Wang
    ,
    Qilin Fan
    , Chao Wang,
    Long Yang
    ,
    Leilei Ding
    ,
    Nicholas Jing Yuan
    ,
    Hui Xiong
  15. Graph Signal Diffusion Model for Collaborative Filtering
    SIGIR 2024 ·
    Yunqin Zhu
    , Chao Wang,
    Qi Zhang
    ,
    Hui Xiong
  16. Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking
    NeurIPS 2024 ·
    Xi Chen
    ,
    Chuan Qin
    ,
    Chuyu Fang
    , Chao Wang,
    Chen Zhu
    ,
    Fuzhen Zhuang
    ,
    Hengshu Zhu
    ,
    Hui Xiong
  17. Pre-DyGAE: Pre-training Enhanced Dynamic Graph Autoencoder for Occupational Skill Demand Forecasting
    IJCAI 2024 ·
    Xi Chen
    ,
    Chuan Qin
    ,
    Zhigaoyuan Wang
    ,
    Yihang Cheng
    , Chao Wang,
    Hengshu Zhu
    ,
    Hui Xiong
  18. Temporal Graph Contrastive Learning for Sequential Recommendation
    AAAI 2024 ·
    Shengzhe Zhang
    ,
    Liyi Chen
    , Chao Wang,
    Shuangli Li
    ,
    Hui Xiong
  19. Unleashing the Power of Knowledge Graph for Recommendation via Invariant Learning
    WWW 2024 ·
    Shuyao Wang
    ,
    Yongduo Sui
    , Chao Wang,
    Hui Xiong