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Zhifeng Hao

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Identifying Semantic Component for Robust Molecular Property Prediction

Nov 08, 2023
Zijian Li, Zunhong Xu, Ruichu Cai, Zhenhui Yang, Yuguang Yan, Zhifeng Hao, Guangyi Chen, Kun Zhang

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Subspace Identification for Multi-Source Domain Adaptation

Oct 07, 2023
Zijian Li, Ruichu Cai, Guangyi Chen, Boyang Sun, Zhifeng Hao, Kun Zhang

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Federated Deep Multi-View Clustering with Global Self-Supervision

Sep 24, 2023
Xinyue Chen, Jie Xu, Yazhou Ren, Xiaorong Pu, Ce Zhu, Xiaofeng Zhu, Zhifeng Hao, Lifang He

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Generalization bound for estimating causal effects from observational network data

Aug 08, 2023
Ruichu Cai, Zeqin Yang, Weilin Chen, Yuguang Yan, Zhifeng Hao

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TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences

Jun 25, 2023
Ruichu Cai, Yuequn Liu, Wei Chen, Jie Qiao, Yuguang Yan, Zijian Li, Keli Zhang, Zhifeng Hao

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Causal Discovery with Latent Confounders Based on Higher-Order Cumulants

May 31, 2023
Ruichu Cai, Zhiyi Huang, Wei Chen, Zhifeng Hao, Kun Zhang

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Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences

May 10, 2023
Jie Qiao, Ruichu Cai, Siyu Wu, Yu Xiang, Keli Zhang, Zhifeng Hao

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A Survey on Causal Reinforcement Learning

Feb 27, 2023
Yan Zeng, Ruichu Cai, Fuchun Sun, Libo Huang, Zhifeng Hao

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On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach

Dec 14, 2022
Ruichu Cai, Yuxuan Zhu, Xuexin Chen, Yuan Fang, Min Wu, Jie Qiao, Zhifeng Hao

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