Li, Zijian

30 publications

ICML 2025 A General Representation-Based Approach to Multi-Source Domain Adaptation Ignavier Ng, Yan Li, Zijian Li, Yujia Zheng, Guangyi Chen, Kun Zhang

ICLR 2025 Causal Graph Transformer for Treatment Effect Estimation Under Unknown Interference Anpeng Wu, Haiyi Qiu, Zhengming Chen, Zijian Li, Ruoxuan Xiong, Fei Wu, Kun Zhang

ICLR 2025 Causal Representation Learning from Multimodal Biomedical Observations Yuewen Sun, Lingjing Kong, Guangyi Chen, Loka Li, Gongxu Luo, Zijian Li, Yixuan Zhang, Yujia Zheng, Mengyue Yang, Petar Stojanov, Eran Segal, Eric P. Xing, Kun Zhang

IJCAI 2025 Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Ruichu Cai, Kaitao Zheng, Junxian Huang, Zijian Li, Zhengming Chen, Boyan Xu, Zhifeng Hao

NeurIPS 2025 CausalVerse: Benchmarking Causal Representation Learning with Configurable High-Fidelity Simulations Guangyi Chen, Yunlong Deng, Peiyuan Zhu, Yan Li, Yifan Shen, Zijian Li, Kun Zhang

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

NeurIPS 2025 LLM Interpretability with Identifiable Temporal-Instantaneous Representation Xiangchen Song, Jiaqi Sun, Zijian Li, Yujia Zheng, Kun Zhang

IJCAI 2025 Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation Learning Ruichu Cai, Junjie Wan, Weilin Chen, Zeqin Yang, Zijian Li, Peng Zhen, Jiecheng Guo

ICLR 2025 On the Identification of Temporal Causal Representation with Instantaneous Dependence Zijian Li, Yifan Shen, Kaitao Zheng, Ruichu Cai, Xiangchen Song, Mingming Gong, Guangyi Chen, Kun Zhang

NeurIPS 2025 Online Time Series Forecasting with Theoretical Guarantees Zijian Li, Changze Zhou, Minghao Fu, Sanjay Manjunath, Fan Feng, Guangyi Chen, Yingyao Hu, Ruichu Cai, Kun Zhang

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

NeurIPS 2025 Thought Communication in Multiagent Collaboration Yujia Zheng, Zhuokai Zhao, Zijian Li, Yaqi Xie, Mingze Gao, Lizhu Zhang, Kun Zhang

NeurIPS 2025 Towards Identifiability of Hierarchical Temporal Causal Representation Learning Zijian Li, Minghao Fu, Junxian Huang, Yifan Shen, Ruichu Cai, Yuewen Sun, Guangyi Chen, Kun Zhang

NeurIPS 2024 Causal Temporal Representation Learning with Nonstationary Sparse Transition Xiangchen Song, Zijian Li, Guangyi Chen, Yujia Zheng, Yewen Fan, Xinshuai Dong, Kun Zhang

CVPRW 2024 Classifier Guided Cluster Density Reduction for Dataset Selection Cheng Chang, Keyu Long, Zijian Li, Himanshu Rai

ICML 2024 DFlow: A Generative Model Combining Denoising AutoEncoder and Normalizing Flow for High Fidelity Waveform Generation Chenfeng Miao, Qingying Zhu, Minchuan Chen, Wei Hu, Zijian Li, Shaojun Wang, Jing Xiao

ICML 2024 Doubly Robust Causal Effect Estimation Under Networked Interference via Targeted Learning Weilin Chen, Ruichu Cai, Zeqin Yang, Jie Qiao, Yuguang Yan, Zijian Li, Zhifeng Hao

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

IJCAI 2024 Individual Causal Structure Learning from Population Data Wei Chen, Xiaokai Huang, Zijian Li, Ruichu Cai, Zhiyi Huang, Zhifeng Hao

ICLR 2024 LLCP: Learning Latent Causal Processes for Reasoning-Based Video Question Answer Guangyi Chen, Yuke Li, Xiao Liu, Zijian Li, Eman Al Suradi, Donglai Wei, Kun Zhang

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

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

NeurIPS 2023 Subspace Identification for Multi-Source Domain Adaptation Zijian Li, Ruichu Cai, Guangyi Chen, Boyang Sun, Zhifeng Hao, Kun Zhang

CVPR 2022 HL-Net: Heterophily Learning Network for Scene Graph Generation Xin Lin, Changxing Ding, Yibing Zhan, Zijian Li, Dacheng Tao

ECCV 2022 Towards Hard-Positive Query Mining for DETR-Based Human-Object Interaction Detection Xubin Zhong, Changxing Ding, Zijian Li, Shaoli Huang

ICML 2021 Aggregating from Multiple Target-Shifted Sources Changjian Shui, Zijian Li, Jiaqi Li, Christian Gagné, Charles X Ling, Boyu Wang

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

AAAI 2021 Time Series Domain Adaptation via Sparse Associative Structure Alignment Ruichu Cai, Jiawei Chen, Zijian Li, Wei Chen, Keli Zhang, Junjian Ye, Zhuozhang Li, Xiaoyan Yang, Zhenjie Zhang

IJCAI 2019 Learning Disentangled Semantic Representation for Domain Adaptation Ruichu Cai, Zijian Li, Pengfei Wei, Jie Qiao, Kun Zhang, Zhifeng Hao

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