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Zhifeng Hao

18 papers at tracked venues · 13 at CORE A* · active 2024–2026

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Venues

AAAI ×7ICML ×3IJCAI ×3WWW ×2CIKM ×1EMNLP ×1NeurIPS ×1

Frequent coauthors

Ruichu Cai
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Wei Chen
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Kun Peng
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Zhengming Chen
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Jie Qiao
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Hongbin Zhang
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Yuan Fang
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Weilin Chen
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Xuexin Chen
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Yuequn Liu
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Papers

  1. Horizontal and Vertical Federated Causal Structure Learning via Higher-order Cumulants
    AAAI 2026 ·
    Wei Chen
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  2. Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism
    IJCAI 2025 ·
    Ruichu Cai
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  3. Conditional Independent Test in the Presence of Measurement Error with Causal Structure Learning
    IJCAI 2025 ·
    Hongbin Zhang
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  4. Dialogues Aspect-based Sentiment Quadruple Extraction via Structural Entropy Minimization Partitioning
    CIKM 2025 ·
    Kun Peng
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  5. Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting
    AAAI 2025 ·
    Ruichu Cai
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  6. EVA-MVC: Equitable View-weight Allocation for Generic Multi-View Clustering
    WWW 2025 ·
    Yuan Fang
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  7. Emotion Transfer with Enhanced Prototype for Unseen Emotion Recognition in Conversation
    EMNLP 2025 ·
    Kun Peng
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  8. Identification of Latent Confounders via Investigating the Tensor Ranks of the Nonlinear Observations
    ICML 2025 ·
    Zhengming Chen
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  9. Learning Disentangled Representation for Multi-Modal Time-Series Sensing Signals
    WWW 2025 ·
    Ruichu Cai
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  10. Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis
    AAAI 2024 ·
    Jie Qiao
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  11. Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning
    ICML 2024 ·
    Weilin Chen
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  12. Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation
    ICML 2024 ·
    Xuexin Chen
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  13. Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model
    AAAI 2024 ·
    Jie Qiao
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  14. Identification of Causal Structure with Latent Variables Based on Higher Order Cumulants
    AAAI 2024 ·
    Wei Chen
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  15. Individual Causal Structure Learning from Population Data
    IJCAI 2024 ·
    Wei Chen
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  16. Learning Discrete Latent Variable Structures with Tensor Rank Conditions
    NeurIPS 2024 ·
    Zhengming Chen
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  17. TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences
    AAAI 2024 ·
    Yuequn Liu
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  18. Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples
    AAAI 2024 ·
    Ruichu Cai
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