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Ziqian Zhang

8 papers at tracked venues · 5 at CORE A* · active 2024–2025

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Venues

AAAI ×1AAMAS ×1ECML-PKDD ×1ICDE ×1ICLR ×1ICML ×1IJCAI ×1NeurIPS ×1

Frequent coauthors

Lihe Li
×6
Lei Yuan
×6
Yang Yu
×6
Ruiqi Xue
×4
Cong Guan
×4
Yi-Chen Li
×4
Chaokun Wang
×2
Cheng Wu
×2
Ziyang Liu
×2
Yuqi Bian
×2
Feng Chen
×2
Shuwen Zheng
×1

Papers

  1. Adaptable Safe Policy Learning from Multi-task Data with Constraint Prioritized Decision Transformer
    NeurIPS 2025 ·
    Ruiqi Xue
    , Ziqian Zhang,
    Lihe Li
    ,
    Cong Guan
    ,
    Lei Yuan
    ,
    Yang Yu
  2. Effective and Scalable Heterogeneous Graph Neural Network Framework with Convolution-oriented Attention
    ICDE 2025 · Ziqian Zhang,
    Chaokun Wang
    ,
    Shuwen Zheng
    ,
    Cheng Wu
    ,
    Ziyang Liu
    ,
    Hao Feng
  3. Efficient Multi-agent Offline Coordination via Diffusion-based Trajectory Stitching
    ICLR 2025 ·
    Lei Yuan
    ,
    Yuqi Bian
    ,
    Lihe Li
    , Ziqian Zhang,
    Cong Guan
    ,
    Yang Yu
  4. Learning Multiple User Distributions for Recommendation via Guided Conditional Diffusion
    AAAI 2025 ·
    Cheng Wu
    ,
    Liang Su
    ,
    Chaokun Wang
    ,
    Shaoyun Shi
    , Ziqian Zhang,
    Ziyang Liu
    ,
    Wang Peng
    ,
    Wenjin Wu
    ,
    Peng Jiang
  5. Learning to Reuse Policies in State Evolvable Environments
    ICML 2025 · Ziqian Zhang,
    Bohan Yang
    ,
    Lihe Li
    ,
    Yuqi Bian
    ,
    Ruiqi Xue
    ,
    Feng Chen
    ,
    Yi-Chen Li
    ,
    Lei Yuan
    ,
    Yang Yu
  6. Continual Multi-Objective Reinforcement Learning via Reward Model Rehearsal
    IJCAI 2024 ·
    Lihe Li
    ,
    Ruotong Chen
    , Ziqian Zhang,
    Zhichao Wu
    ,
    Yi-Chen Li
    ,
    Cong Guan
    ,
    Yang Yu
    ,
    Lei Yuan
  7. Cost-aware Offline Safe Meta Reinforcement Learning with Robust In-Distribution Online Task Adaptation
    AAMAS 2024 ·
    Cong Guan
    ,
    Ruiqi Xue
    , Ziqian Zhang,
    Lihe Li
    ,
    Yi-Chen Li
    ,
    Lei Yuan
    ,
    Yang Yu
  8. Dynamics Adaptive Safe Reinforcement Learning with a Misspecified Simulator
    ECML-PKDD 2024 ·
    Ruiqi Xue
    , Ziqian Zhang,
    Lihe Li
    ,
    Feng Chen
    ,
    Yi-Chen Li
    ,
    Yang Yu
    ,
    Lei Yuan