An Encoder-Decoder Framework Translating Natural Language to Database Queries. - Ruichu Cai; Boyan Xu; Xiaoyan Yang; Zhenjie Zhang; Zijian Li 001 (CoRR, 2017)

An Encoder-Decoder Framework Translating Natural Language to Database Queries. - Ruichu Cai; Boyan Xu; Zhenjie Zhang; Xiaoyan Yang; Zijian Li 001; Zhihao Liang (IJCAI, 2018)

Learning Disentangled Semantic Representation for Domain Adaptation. - Ruichu Cai; Zijian Li 001; Pengfei Wei 001; Jie Qiao; Kun Zhang 001; Zhifeng Hao (IJCAI, 2019)

NADAQ: Natural Language Database Querying Based on Deep Learning. - Boyan Xu; Ruichu Cai; Zhenjie Zhang; Xiaoyan Yang; Zhifeng Hao; Zijian Li 001; Zhihao Liang (IEEE Access, 2019)

Causal Mechanism Transfer Network for Time Series Domain Adaptation in Mechanical Systems. - Zijian Li 001; Ruichu Cai; Kok-Soon Chai; Hong Wei Ng; Hoang Dung Vu; Marianne Winslett; Tom Z. J. Fu; Boyan Xu; Xiaoyan Yang; Zhenjie Zhang (CoRR, 2019)

Disentanglement Challenge: From Regularization to Reconstruction. - Jie Qiao; Zijian Li 001; Boyan Xu; Ruichu Cai; Kun Zhang 001 (CoRR, 2019)

TAG : Type Auxiliary Guiding for Code Comment Generation. - Ruichu Cai; Zhihao Liang; Boyan Xu; Zijian Li 001; Yuexing Hao; Yao Chen 008 (ACL, 2020)

Time Series Domain Adaptation via Sparse Associative Structure Alignment. - Ruichu Cai; Jiawei Chen; Zijian Li 001; Wei Chen 103; Keli Zhang; Junjian Ye; Zhuozhang Li; Xiaoyan Yang; Zhenjie Zhang (AAAI, 2021)

Aggregating From Multiple Target-Shifted Sources. - Changjian Shui; Zijian Li 001; Jiaqi Li 005; Christian Gagné 001; Charles X. Ling; Boyu Wang 004 (ICML, 2021)

Domain Adaptation with Invariant Representation Learning: What Transformations to Learn? - Petar Stojanov; Zijian Li 001; Mingming Gong; Ruichu Cai; Jaime G. Carbonell; Kun Zhang 001 (NeurIPS, 2021)

Transferable Time-Series Forecasting under Causal Conditional Shift. - Zijian Li 001; Ruichu Cai; Tom Z. J. Fu; Kun Zhang 001 (CoRR, 2021)

TEA: A Sequential Recommendation Framework via Temporally Evolving Aggregations. - Zijian Li 001; Ruichu Cai; Fengzhu Wu; Sili Zhang; Hao Gu; Yuexing Hao; Yuguang (CoRR, 2021)

Semi-supervised disentangled framework for transferable named entity recognition. - Zhifeng Hao; Di Lv; Zijian Li 001; Ruichu Cai; Wen Wen; Boyan Xu (Neural Networks, 2021)

Causal Mechanism Transfer Network for Time Series Domain Adaptation in Mechanical Systems. - Zijian Li 001; Ruichu Cai; Hong Wei Ng; Marianne Winslett; Tom Z. J. Fu; Boyan Xu; Xiaoyan Yang; Zhenjie Zhang (ACM Trans. Intell. Syst. Technol., 2021)

REST: Debiased Social Recommendation via Reconstructing Exposure Strategies. - Ruichu Cai; Fengzhu Wu; Zijian Li 001; Jie Qiao; Wei Chen 103; Yuexing Hao; Hao Gu (CoRR, 2022)

Time-Series Domain Adaptation via Sparse Associative Structure Alignment: Learning Invariance and Variance. - Zijian Li 001; Ruichu Cai; Jiawei Chen; Yuguan Yan; Wei Chen 103; Keli Zhang; Junjian Ye (CoRR, 2022)

Subspace Identification for Multi-Source Domain Adaptation. - Zijian Li 001; Ruichu Cai; Guangyi Chen 002; Boyang Sun; Zhifeng Hao; Kun Zhang 001 (NeurIPS, 2023)

Identifying Semantic Component for Robust Molecular Property Prediction. - Zijian Li 001; Zunhong Xu; Ruichu Cai; Zhenhui Yang; Yuguang Yan; Zhifeng Hao; Guangyi Chen 002; Kun Zhang 001 (CoRR, 2023)

TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences. - Yuequn Liu; Ruichu Cai; Wei Chen 103; Jie Qiao; Yuguang Yan; Zijian Li 001; Keli Zhang; Zhifeng Hao (AAAI, 2024)

LLCP: Learning Latent Causal Processes for Reasoning-based Video Question Answer. - Guangyi Chen 002; Yuke Li; Xiao Liu; Zijian Li 001; Eman Al Suradi; Donglai Wei 001; Kun Zhang 001 (ICLR, 2024)

Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation. - Xuexin Chen; Ruichu Cai; Zhengting Huang; Yuxuan Zhu 001; Julien Horwood; Zhifeng Hao; Zijian Li 001; José Miguel Hernández-Lobato (ICML, 2024)

Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning. - Weilin Chen 001; Ruichu Cai; Zeqin Yang; Jie Qiao; Yuguang Yan; Zijian Li 001; Zhifeng Hao (ICML, 2024)

Individual Causal Structure Learning from Population Data. - Wei Chen 103; Xiaokai Huang; Zijian Li 001; Ruichu Cai; Zhiyi Huang 008; Zhifeng Hao (IJCAI, 2024)

Learning Discrete Latent Variable Structures with Tensor Rank Conditions. - Zhengming Chen; Ruichu Cai; Feng Xie 002; Jie Qiao; Anpeng Wu; Zijian Li 001; Zhifeng Hao; Kun Zhang 001 (NeurIPS, 2024)

Causal Temporal Representation Learning with Nonstationary Sparse Transition. - Xiangchen Song; Zijian Li 001; Guangyi Chen 002; Yujia Zheng 001; Yewen Fan; Xinshuai Dong; Kun Zhang 001 (NeurIPS, 2024)

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)

When and How: Learning Identifiable Latent States for Nonstationary Time Series Forecasting. - Zijian Li 001; Ruichu Cai; Zhenhui Yang; Haiqin Huang; Guangyi Chen 002; Yifan Shen 004; Zhengming Chen; Xiangchen Song; Zhifeng Hao; Kun Zhang 001 (CoRR, 2024)

Debiased Model-based Interactive Recommendation. - Zijian Li 001; Ruichu Cai; Haiqin Huang; Sili Zhang; Yuguang Yan; Zhifeng Hao; Zhenghua Dong (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)

From Orthogonality to Dependency: Learning Disentangled Representation for Multi-Modal Time-Series Sensing Signals. - Ruichu Cai; Zhifang Jiang; Zijian Li 001; Weilin Chen 001; Xuexin Chen; Zhifeng Hao; Yifan Shen 004; Guangyi Chen 002; Kun Zhang 001 (CoRR, 2024)

Causal Representation Learning from Multimodal Biological Observations. - Yuewen Sun; Lingjing Kong; Guangyi Chen 002; Loka Li; Gongxu Luo; Zijian Li 001; Yixuan Zhang 001; Yujia Zheng 001; Mengyue Yang; Petar Stojanov; Eran Segal; Eric P. Xing; et al. (CoRR, 2024)

Time-series domain adaptation via sparse associative structure alignment: Learning invariance and variance. - Zijian Li 001; Ruichu Cai; Jiawei Chen; Yuguang Yan; Wei Chen 103; Keli Zhang; Junjian Ye (Neural Networks, 2024)

TEA: A Sequential Recommendation Framework via Temporally Evolving Aggregations. - Zijian Li 001; Ruichu Cai; Fengzhu Wu; Sili Zhang; Hao Gu; Yuexing Hao; Yuguang Yan (IEEE Trans. Neural Networks Learn. Syst., 2024)

Transferable Time-Series Forecasting Under Causal Conditional Shift. - Zijian Li 001; Ruichu Cai; Tom Z. J. Fu; Zhifeng Hao; Kun Zhang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Graph Domain Adaptation: A Generative View. - Ruichu Cai; Fengzhu Wu; Zijian Li 001; Pengfei Wei 001; Lingling Yi; Kun Zhang 001 (ACM Trans. Knowl. Discov. Data, 2024)

Motif Graph Neural Network. - Xuexin Chen; Ruichu Cai; Yuan Fang 001; Min Wu 008; Zijian Li 001; Zhifeng Hao (IEEE Trans. Neural Networks Learn. Syst., 2024)

Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting. - Ruichu Cai; Haiqin Huang; Zhifan Jiang; Zijian Li 001; Changze Zhou; Yuequn Liu; Yuming Liu; Zhifeng Hao (AAAI, 2025)

Synergy Between Sufficient Changes and Sparse Mixing Procedure for Disentangled Representation Learning. - Zijian Li 001; Shunxing Fan; Yujia Zheng 001; Ignavier Ng; Shaoan Xie; Guangyi Chen 002; Xinshuai Dong; Ruichu Cai; Kun Zhang 001 (ICLR, 2025)

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)

Causal Representation Learning from Multimodal Biomedical Observations. - Yuewen Sun; Lingjing Kong; Guangyi Chen 002; Loka Li; Gongxu Luo; Zijian Li 001; Yixuan Zhang 001; Yujia Zheng 001; Mengyue Yang; Petar Stojanov; Eran Segal; Eric P. Xing; et al. (ICLR, 2025)

Causal Graph Transformer for Treatment Effect Estimation Under Unknown Interference. - Anpeng Wu; Haiyi Qiu; Zhengming Chen; Zijian Li 001; Ruoxuan Xiong; Fei Wu 001; 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)

Interpretable high-order knowledge graph neural network for predicting synthetic lethality in human cancers. - Xuexin Chen; Ruichu Cai; Zhengting Huang; Zijian Li 001; Jie Zheng 002; Min Wu 008 (Briefings Bioinform., 2025)

Temporal latent variable structural causal model for causal discovery under external interferences. - Ruichu Cai; Xiaokai Huang; Wei Chen 103; Zijian Li 001; Zhifeng Hao (Neurocomputing, 2025)

StateHPs: State Hawkes processes for Granger causal discovery from non-stationary event sequences. - Yuequn Liu; Guangdong Sun; Ruichu Cai; Zijian Li 001; Keli Zhang; Lujia Pan; Zhifeng Hao (Inf. Sci., 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)

Identification of Nonparametric Dynamic Causal Structure and Latent Process in Climate System. - Minghao Fu 002; Biwei Huang; Zijian Li 001; Yujia Zheng 001; Ignavier Ng; Yingyao Hu; Kun Zhang 001 (CoRR, 2025)

Controllable Video Generation with Provable Disentanglement. - Yifan Shen 004; Peiyuan Zhu 001; Zijian Li 001; Shaoan Xie; Zeyu Tang 002; Namrata Deka; Zongfang Liu; Guangyi Chen 002; Kun Zhang 001 (CoRR, 2025)

Leveraging Constrained Monte Carlo Tree Search to Generate Reliable Long Chain-of-Thought for Mathematical Reasoning. - Qingwen Lin; Boyan Xu; Zijian Li 001; Zhifeng Hao; Keli Zhang; Ruichu Cai (CoRR, 2025)

Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting. - Ruichu Cai; Haiqin Huang; Zhifang Jiang; Zijian Li 001; Changze Zhou; Yuequn Liu; Yuming Liu; Zhifeng Hao (CoRR, 2025)

Time Series Domain Adaptation via Latent Invariant Causal Mechanism. - Ruichu Cai; Junxian Huang 002; Zhenhui Yang; Zijian Li 001; Emadeldeen Eldele; Min Wu 008; Fuchun Sun (CoRR, 2025)

Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation Learning. - Ruichu Cai; Junjie Wan; Weilin Chen 001; Zeqin Yang; Zijian Li 001; Peng Zhen 001; Jiecheng Guo (CoRR, 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)

Should Bias Always be Eliminated? A Principled Framework to Use Data Bias for OOD Generation. - Yan Li 099; Guangyi Chen 002; Yunlong Deng; Zijian Li 001; Zeyu Tang 002; Anpeng Wu; Kun Zhang 001 (CoRR, 2025)