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Zijian Li

Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE

21 papers at tracked venues · 18 at CORE A* · active 2024–2025

DBLP profile ↗ORCID 0000-0002-3964-3789 ↗

Venues

NeurIPS ×7ICLR ×5ICML ×3IJCAI ×3AAAI ×2WWW ×1

Frequent coauthors

Ruichu Cai
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Guangyi Chen
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Xiangchen Song
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Ignavier Ng
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Anpeng Wu
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Yuewen Sun
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Yujia Zheng
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Weilin Chen
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Xuexin Chen
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Wei Chen
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Zhengming Chen
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Yuequn Liu
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Papers

  1. A General Representation-Based Approach to Multi-Source Domain Adaptation
    ICML 2025 ·
    Ignavier Ng
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  2. Causal Graph Transformer for Treatment Effect Estimation Under Unknown Interference
    ICLR 2025 ·
    Anpeng Wu
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  3. Causal Representation Learning from Multimodal Biomedical Observations
    ICLR 2025 ·
    Yuewen Sun
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  4. Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism
    IJCAI 2025 ·
    Ruichu Cai
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  5. CausalVerse: Benchmarking Causal Representation Learning with Configurable High-Fidelity Simulations
    NeurIPS 2025 ·
    Guangyi Chen
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  6. Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting
    AAAI 2025 ·
    Ruichu Cai
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  7. LLM Interpretability with Identifiable Temporal-Instantaneous Representation
    NeurIPS 2025 ·
    Xiangchen Song
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  8. Learning Disentangled Representation for Multi-Modal Time-Series Sensing Signals
    WWW 2025 ·
    Ruichu Cai
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  9. Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation Learning
    IJCAI 2025 ·
    Ruichu Cai
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  10. On the Identification of Temporal Causal Representation with Instantaneous Dependence
    ICLR 2025 · Zijian Li
  11. Online Time Series Forecasting with Theoretical Guarantees
    NeurIPS 2025 · Zijian Li
  12. Synergy Between Sufficient Changes and Sparse Mixing Procedure for Disentangled Representation Learning
    ICLR 2025 · Zijian Li
  13. Thought Communication in Multiagent Collaboration
    NeurIPS 2025 ·
    Yujia Zheng
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  14. Towards Identifiability of Hierarchical Temporal Causal Representation Learning
    NeurIPS 2025 · Zijian Li
  15. Causal Temporal Representation Learning with Nonstationary Sparse Transition
    NeurIPS 2024 ·
    Xiangchen Song
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  16. Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning
    ICML 2024 ·
    Weilin Chen
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  17. Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation
    ICML 2024 ·
    Xuexin Chen
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  18. Individual Causal Structure Learning from Population Data
    IJCAI 2024 ·
    Wei Chen
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  19. LLCP: Learning Latent Causal Processes for Reasoning-based Video Question Answer
    ICLR 2024 ·
    Guangyi Chen
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  20. Learning Discrete Latent Variable Structures with Tensor Rank Conditions
    NeurIPS 2024 ·
    Zhengming Chen
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  21. TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences
    AAAI 2024 ·
    Yuequn Liu
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