PPaperPicks

Lingzhi Wang

14 papers at tracked venues · 11 at CORE A* · active 2024–2026

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Venues

ACL ×4AAAI ×2NeurIPS ×2ECML-PKDD ×1EMNLP ×1ICDE ×1IJCAI ×1SIGIR ×1SIGKDD ×1

Frequent coauthors

Qing Liao
×8
Jinhao Cui
×5
Chaoyang Li
×5
Kam-Fai Wong
×4
Lin Zhong
×3
Jianyang Qin
×3
Xingshan Zeng
×3
Hao Chen
×2
Zezhong Wang
×2
Renjin Zhu
×1
Shujuan Ma
×1
Cuiyun Gao
×1

Papers

  1. Cognitive Policy-Driven LLM for Diagnosis and Intervention of Cognitive Distortions in Emotional Support Conversation
    ACL 2026 ·
    Lin Zhong
    ,
    Renjin Zhu
    ,
    Shujuan Ma
    ,
    Jinhao Cui
    , Lingzhi Wang,
    Hao Chen
    ,
    Qing Liao
  2. Improving Heterogeneous Graph Contrastive Learning Robustness via Hierarchical Vulnerability Protection
    SIGKDD 2026 ·
    Jinhao Cui
    ,
    Chaoyang Li
    ,
    Jianyang Qin
    , Lingzhi Wang,
    Cuiyun Gao
    ,
    Qing Liao
  3. Modeling Multi-Dimensional Cognitive States in Large Language Models under Cognitive Crowding
    ACL 2026 ·
    Lin Zhong
    ,
    Siyu Zhu
    ,
    Zizhen Yuan
    ,
    Jinhao Cui
    ,
    Xinyang Zhao
    , Lingzhi Wang,
    Hao Chen
    ,
    Qing Liao
  4. ToolACE-R: Model-aware Iterative Training and Adaptive Refinement for Tool learning
    AAAI 2026 ·
    Xingshan Zeng
    ,
    Weiwen Liu
    ,
    Xu Huang
    ,
    Zezhong Wang
    , Lingzhi Wang,
    Liangyou Li
    ,
    Yasheng Wang
    ,
    Lifeng Shang
    ,
    Xin Jiang
    ,
    Ruiming Tang
    ,
    Qun Liu
  5. Adaptive Data and Task Joint Scheduling for Multi-Task Learning
    ICDE 2025 ·
    Zeyu Liu
    ,
    Heyan Chai
    ,
    Chaoyang Li
    , Lingzhi Wang,
    Qing Liao
  6. Bridging Time and Linguistics: LLMs as Time Series Analyzer through Symbolization and Segmentation
    NeurIPS 2025 ·
    Jianyang Qin
    ,
    Chaoyang Li
    ,
    Jinhao Cui
    , Lingzhi Wang,
    Zhao Liu
    ,
    Qing Liao
  7. CoMaPOI: A Collaborative Multi-Agent Framework for Next POI Prediction Bridging the Gap Between Trajectory and Language
    SIGIR 2025 ·
    Lin Zhong
    , Lingzhi Wang,
    Xu Yang
    ,
    Qing Liao
  8. Cross-Modal Causal Scheduling for Enhancing Target-Oriented Multi-modal Sentiment Classification
    ECML-PKDD 2025 ·
    Pengyu Zhao
    ,
    Chaoyang Li
    , Lingzhi Wang,
    Qing Liao
  9. Do Mentioned Items Truly Matter? Enhancing Conversational Recommender Systems with Causal Intervention and Large Language Models
    IJCAI 2025 · Lingzhi Wang,
    Xingshan Zeng
    ,
    Kam-Fai Wong
  10. Selective Forgetting: Advancing Machine Unlearning Techniques and Evaluation in Language Models
    AAAI 2025 · Lingzhi Wang,
    Xingshan Zeng
    ,
    Jinsong Guo
    ,
    Kam-Fai Wong
    ,
    Georg Gottlob
  11. Turning the Tables: Enabling Backward Transfer via Causal-Aware LoRA in Continual Learning
    NeurIPS 2025 ·
    Chaoyang Li
    ,
    Runze Ye
    ,
    Jianyang Qin
    ,
    Jinhao Cui
    , Lingzhi Wang,
    Ning Hu
    ,
    Qing Liao
  12. DPDLLM: A Black-box Framework for Detecting Pre-training Data from Large Language Models
    ACL 2024 ·
    Baohang Zhou
    ,
    Zezhong Wang
    , Lingzhi Wang,
    Hongru Wang
    ,
    Ying Zhang
    ,
    Kehui Song
    ,
    Xuhui Sui
    ,
    Kam-Fai Wong
  13. LLM-REDIAL: A Large-Scale Dataset for Conversational Recommender Systems Created from User Behaviors with LLMs
    ACL 2024 ·
    Tingting Liang
    ,
    Chenxin Jin
    , Lingzhi Wang,
    Wenqi Fan
    ,
    Congying Xia
    ,
    Kai Chen
    ,
    Yuyu Yin
  14. LLMEdgeRefine: Enhancing Text Clustering with LLM-Based Boundary Point Refinement
    EMNLP 2024 ·
    Zijin Feng
    ,
    Luyang Lin
    , Lingzhi Wang,
    Hong Cheng
    ,
    Kam-Fai Wong