Unifying Invariance and Spuriousity for Graph Out-of-Distribution via Probability of Necessity and Sufficiency. - Xuexin Chen; Ruichu Cai; Kaitao Zheng; Zhifan Jiang; Zhengting Huang; Zhifeng Hao; Zijian Li 001 (CoRR, 2024)

On the Identification of Temporally Causal Representation with Instantaneous Dependence. - Zijian Li 001; Yifan Shen 004; Kaitao Zheng; Ruichu Cai; Xiangchen Song; Mingming Gong; Zhifeng Hao; Zhengmao Zhu; Guangyi Chen 002; Kun Zhang 001 (CoRR, 2024)

On the Identification of Temporal Causal Representation with Instantaneous Dependence. - Zijian Li 001; Yifan Shen 004; Kaitao Zheng; Ruichu Cai; Xiangchen Song; Mingming Gong; Guangyi Chen 002; Kun Zhang 001 (ICLR, 2025)

Learning Disentangled Representation for Multi-Modal Time-Series Sensing Signals. - Ruichu Cai; Zhifan Jiang; Kaitao Zheng; Zijian Li 001; Weilin Chen 001; Xuexin Chen; Yifan Shen 004; Guangyi Chen 002; Zhifeng Hao; Kun Zhang 001 (WWW, 2025)

Unifying invariant and variant features for graph out-of-distribution via probability of necessity and sufficiency. - Xuexin Chen; Ruichu Cai; Kaitao Zheng; Zhifan Jiang; Zhengting Huang; Zhifeng Hao; Zijian Li 001 (Neural Networks, 2025)

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism. - Ruichu Cai; Kaitao Zheng; Junxian Huang 002; Zijian Li 001; Zhengming Chen; Boyan Xu; Zhifeng Hao (CoRR, 2025)