Xinshuai Dong

Venues

Frequent coauthors

Papers

1. Advancing Reasoning in Diffusion Language Models with Denoising Process Rewards
   ACL 2026 ·

   Shaoan Xie

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2. Representation Interventions Enable Lifelong Knowledge Memory Control in LLMs
   ACL 2026 ·

   Xuyuan Liu

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3. A Sample Efficient Conditional Independence Test in the Presence of Discretization
   ICML 2025 ·

   Boyang Sun

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4. Causal Representation Learning from General Environments under Nonparametric Mixing
   AISTATS 2025 ·

   Ignavier Ng

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5. Latent Variable Causal Discovery under Selection Bias
   ICML 2025 ·

   Haoyue Dai

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6. Permutation-based Rank Test in the Presence of Discretization and Application in Causal Discovery with Mixed Data
   ICML 2025 · Xinshuai Dong
7. Synergy Between Sufficient Changes and Sparse Mixing Procedure for Disentangled Representation Learning
   ICLR 2025 ·

   Zijian Li

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8. Type Information-Assisted Self-Supervised Knowledge Graph Denoising
   AISTATS 2025 ·

   Jiaqi Sun

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9. When Selection Meets Intervention: Additional Complexities in Causal Discovery
   ICLR 2025 ·

   Haoyue Dai

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10. A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables
    ICLR 2024 · Xinshuai Dong
11. Causal Temporal Representation Learning with Nonstationary Sparse Transition
    NeurIPS 2024 ·

    Xiangchen Song

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12. Identifying Latent State-Transition Processes for Individualized Reinforcement Learning
    NeurIPS 2024 ·

    Yuewen Sun

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13. Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning
    ECCV 2024 ·

    Thong Nguyen

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14. Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word Exclusion
    ACL 2024 ·

    Xiaobao Wu

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15. On the Parameter Identifiability of Partially Observed Linear Causal Models
    NeurIPS 2024 · Xinshuai Dong
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

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17. Score-Based Causal Discovery of Latent Variable Causal Models
    ICML 2024 ·

    Ignavier Ng

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18. Structural Estimation of Partially Observed Linear Non-Gaussian Acyclic Model: A Practical Approach with Identifiability
    ICLR 2024 ·

    Songyao Jin

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19. Topic Modeling as Multi-Objective Contrastive Optimization
    ICLR 2024 ·

    Thong Thanh Nguyen

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