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Xinshuai Dong

19 papers at tracked venues · 16 at CORE A* · active 2024–2026

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Venues

ICLR ×5ICML ×4ACL ×3NeurIPS ×3AISTATS ×2AAAI ×1ECCV ×1

Frequent coauthors

Kun Zhang
×14
Ignavier Ng
×8
Peter Spirtes
×8
Haoyue Dai
×5
Biwei Huang
×5
Guangyi Chen
×4
Yujia Zheng
×4
Songyao Jin
×4
Xiaobao Wu
×4
Anh Tuan Luu
×4
Shaoan Xie
×3
Xiangchen Song
×3

Papers

  1. Advancing Reasoning in Diffusion Language Models with Denoising Process Rewards
    ACL 2026 ·
    Shaoan Xie
    ,
    Lingjing Kong
    ,
    Xiangchen Song
    , Xinshuai Dong,
    Guangyi Chen
    ,
    Eric P. Xing
    ,
    Kun Zhang
  2. Representation Interventions Enable Lifelong Knowledge Memory Control in LLMs
    ACL 2026 ·
    Xuyuan Liu
    ,
    Shengyu Chen
    , Xinshuai Dong,
    Yanchi Liu
    ,
    Xujiang Zhao
    ,
    Haoyu Wang
    ,
    Yujun Yan
    ,
    Haifeng Chen
    ,
    Zhengzhang Chen
  3. A Sample Efficient Conditional Independence Test in the Presence of Discretization
    ICML 2025 ·
    Boyang Sun
    ,
    Yu Yao
    , Xinshuai Dong,
    Zongfang Liu
    ,
    Tongliang Liu
    ,
    Yumou Qiu
    ,
    Kun Zhang
  4. Causal Representation Learning from General Environments under Nonparametric Mixing
    AISTATS 2025 ·
    Ignavier Ng
    ,
    Shaoan Xie
    , Xinshuai Dong,
    Peter Spirtes
    ,
    Kun Zhang
  5. Latent Variable Causal Discovery under Selection Bias
    ICML 2025 ·
    Haoyue Dai
    ,
    Yiwen Qiu
    ,
    Ignavier Ng
    , Xinshuai Dong,
    Peter Spirtes
    ,
    Kun Zhang
  6. Permutation-based Rank Test in the Presence of Discretization and Application in Causal Discovery with Mixed Data
    ICML 2025 · Xinshuai Dong,
    Ignavier Ng
    ,
    Boyang Sun
    ,
    Haoyue Dai
    ,
    Guang-Yuan Hao
    ,
    Shunxing Fan
    ,
    Peter Spirtes
    ,
    Yumou Qiu
    ,
    Kun Zhang
  7. Synergy Between Sufficient Changes and Sparse Mixing Procedure for Disentangled Representation Learning
    ICLR 2025 ·
    Zijian Li
    ,
    Shunxing Fan
    ,
    Yujia Zheng
    ,
    Ignavier Ng
    ,
    Shaoan Xie
    ,
    Guangyi Chen
    , Xinshuai Dong,
    Ruichu Cai
    ,
    Kun Zhang
  8. Type Information-Assisted Self-Supervised Knowledge Graph Denoising
    AISTATS 2025 ·
    Jiaqi Sun
    ,
    Yujia Zheng
    , Xinshuai Dong,
    Haoyue Dai
    ,
    Kun Zhang
  9. When Selection Meets Intervention: Additional Complexities in Causal Discovery
    ICLR 2025 ·
    Haoyue Dai
    ,
    Ignavier Ng
    ,
    Jianle Sun
    ,
    Zeyu Tang
    ,
    Gongxu Luo
    , Xinshuai Dong,
    Peter Spirtes
    ,
    Kun Zhang
  10. A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables
    ICLR 2024 · Xinshuai Dong,
    Biwei Huang
    ,
    Ignavier Ng
    ,
    Xiangchen Song
    ,
    Yujia Zheng
    ,
    Songyao Jin
    ,
    Roberto Legaspi
    ,
    Peter Spirtes
    ,
    Kun Zhang
  11. Causal Temporal Representation Learning with Nonstationary Sparse Transition
    NeurIPS 2024 ·
    Xiangchen Song
    ,
    Zijian Li
    ,
    Guangyi Chen
    ,
    Yujia Zheng
    ,
    Yewen Fan
    , Xinshuai Dong,
    Kun Zhang
  12. Identifying Latent State-Transition Processes for Individualized Reinforcement Learning
    NeurIPS 2024 ·
    Yuewen Sun
    ,
    Biwei Huang
    ,
    Yu Yao
    ,
    Donghuo Zeng
    , Xinshuai Dong,
    Songyao Jin
    ,
    Boyang Sun
    ,
    Roberto Legaspi
    ,
    Kazushi Ikeda
    ,
    Peter Spirtes
    ,
    Kun Zhang
  13. Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning
    ECCV 2024 ·
    Thong Nguyen
    ,
    Yi Bin
    ,
    Xiaobao Wu
    , Xinshuai Dong,
    Zhiyuan Hu
    ,
    Khoi Le
    ,
    Cong-Duy Nguyen
    ,
    See-Kiong Ng
    ,
    Luu Anh Tuan
  14. Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word Exclusion
    ACL 2024 ·
    Xiaobao Wu
    , Xinshuai Dong,
    Liangming Pan
    ,
    Thong Nguyen
    ,
    Anh Tuan Luu
  15. On the Parameter Identifiability of Partially Observed Linear Causal Models
    NeurIPS 2024 · Xinshuai Dong,
    Ignavier Ng
    ,
    Biwei Huang
    ,
    Yuewen Sun
    ,
    Songyao Jin
    ,
    Roberto Legaspi
    ,
    Peter Spirtes
    ,
    Kun Zhang
  16. READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling
    AAAI 2024 ·
    Thong Nguyen
    ,
    Xiaobao Wu
    , Xinshuai Dong,
    Khoi M. Le
    ,
    Zhiyuan Hu
    ,
    Cong-Duy Nguyen
    ,
    See-Kiong Ng
    ,
    Anh Tuan Luu
  17. Score-Based Causal Discovery of Latent Variable Causal Models
    ICML 2024 ·
    Ignavier Ng
    , Xinshuai Dong,
    Haoyue Dai
    ,
    Biwei Huang
    ,
    Peter Spirtes
    ,
    Kun Zhang
  18. Structural Estimation of Partially Observed Linear Non-Gaussian Acyclic Model: A Practical Approach with Identifiability
    ICLR 2024 ·
    Songyao Jin
    ,
    Feng Xie
    ,
    Guangyi Chen
    ,
    Biwei Huang
    ,
    Zhengming Chen
    , Xinshuai Dong,
    Kun Zhang
  19. Topic Modeling as Multi-Objective Contrastive Optimization
    ICLR 2024 ·
    Thong Thanh Nguyen
    ,
    Xiaobao Wu
    , Xinshuai Dong,
    Cong-Duy T. Nguyen
    ,
    See-Kiong Ng
    ,
    Anh Tuan Luu