Zijian Li - RankMe

88 papers A* 23B 1Journal 64

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An identifiable cost-aware causal decision-making framework using counterfactual reasoning. Neural Networks Ruichu Cai, Xi Chen, Jie Qiao, Zijian Li, Yuequn Liu, Wei Chen, Keli Zhang, Jiale Zheng
2026	J	`jnl`	CMCTS: A Constrained Monte Carlo Tree Search framework for mathematical reasoning in large language model. Appl. Intell. Qingwen Lin, Boyan Xu, Guimin Hu, Zijian Li, Zhifeng Hao, Keli Zhang, Ruichu Cai
2026	J	`jnl`	ENTRA: Entropy-Based Redundancy Avoidance in Large Language Model Reasoning. CoRR Ruichu Cai, Haopeng Du, Qingwen Lin, Yutong Chen, Zijian Li, Boyan Xu
2026	J	`jnl`	Hierarchical Action Learning for Weakly-Supervised Action Segmentation. CoRR Junxian Huang, Ruichu Cai, Hao Zhu, Juntao Fang, Boyan Xu, Weilin Chen, Zijian Li, Shenghua Gao
2026	J	`jnl`	Rethinking Zero-Shot Time Series Classification: From Task-specific Classifiers to In-Context Inference. CoRR Juntao Fang, Shifeng Xie, Shengbin Nie, Yuhui Ling, Yuming Liu, Zijian Li, Keli Zhang, Lujia Pan, Themis Palpanas, Ruichu Cai
2026	J	`jnl`	Time Series Domain Adaptation via Latent Invariant Causal Mechanism. IEEE Trans. Pattern Anal. Mach. Intell. Ruichu Cai, Junxian Huang, Zhenhui Yang, Zijian Li, Emadeldeen Eldele, Min Wu, Fuchun Sun
2025	A*	`conf`	A General Representation-Based Approach to Multi-Source Domain Adaptation. ICML Ignavier Ng, Yan Li, Zijian Li, Yujia Zheng, Guangyi Chen, Kun Zhang
2025	J	`jnl`	An Identifiable Cost-Aware Causal Decision-Making Framework Using Counterfactual Reasoning. CoRR Ruichu Cai, Xi Chen, Jie Qiao, Zijian Li, Yuequn Liu, Wei Chen, Keli Zhang, Jiale Zheng
2025	A*	`conf`	Causal Graph Transformer for Treatment Effect Estimation Under Unknown Interference. ICLR Anpeng Wu, Haiyi Qiu, Zhengming Chen, Zijian Li, Ruoxuan Xiong, Fei Wu, Kun Zhang
2025	A*	`conf`	Causal Representation Learning from Multimodal Biomedical Observations. ICLR 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
2025	A*	`conf`	Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism. IJCAI Ruichu Cai, Kaitao Zheng, Junxian Huang, Zijian Li, Zhengming Chen, Boyan Xu, Zhifeng Hao
2025	J	`jnl`	Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism. CoRR Ruichu Cai, Kaitao Zheng, Junxian Huang, Zijian Li, Zhengming Chen, Boyan Xu, Zhifeng Hao
2025	J	`jnl`	CausalVerse: Benchmarking Causal Representation Learning with Configurable High-Fidelity Simulations. CoRR Guangyi Chen, Yunlong Deng, Peiyuan Zhu, Yan Li, Yifan Shen, Zijian Li, Kun Zhang
2025	J	`jnl`	Controllable Video Generation with Provable Disentanglement. CoRR Yifan Shen, Peiyuan Zhu, Zijian Li, Shaoan Xie, Zeyu Tang, Namrata Deka, Zongfang Liu, Guangyi Chen, Kun Zhang
2025	A*	`conf`	Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting. AAAI Ruichu Cai, Haiqin Huang, Zhifan Jiang, Zijian Li, Changze Zhou, Yuequn Liu, Yuming Liu, Zhifeng Hao
2025	J	`jnl`	Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting. CoRR Ruichu Cai, Haiqin Huang, Zhifang Jiang, Zijian Li, Changze Zhou, Yuequn Liu, Yuming Liu, Zhifeng Hao
2025	J	`jnl`	Identification of Nonparametric Dynamic Causal Structure and Latent Process in Climate System. CoRR Minghao Fu, Biwei Huang, Zijian Li, Yujia Zheng, Ignavier Ng, Yingyao Hu, Kun Zhang
2025	J	`jnl`	Identifying Semantic Component for Robust Molecular Property Prediction. IEEE Trans. Pattern Anal. Mach. Intell. Zijian Li, Zunhong Xu, Ruichu Cai, Zhenhui Yang, Yuguang Yan, Zhifeng Hao, Guangyi Chen, Kun Zhang
2025	J	`jnl`	Interpretable High-order Knowledge Graph Neural Network for Predicting Synthetic Lethality in Human Cancers. CoRR Xuexin Chen, Ruichu Cai, Zhengting Huang, Zijian Li, Jie Zheng, Min Wu
2025	J	`jnl`	Interpretable high-order knowledge graph neural network for predicting synthetic lethality in human cancers. Briefings Bioinform. Xuexin Chen, Ruichu Cai, Zhengting Huang, Zijian Li, Jie Zheng, Min Wu
2025	J	`jnl`	LLM Interpretability with Identifiable Temporal-Instantaneous Representation. CoRR Xiangchen Song, Jiaqi Sun, Zijian Li, Yujia Zheng, Kun Zhang
2025	A*	`conf`	Learning Disentangled Representation for Multi-Modal Time-Series Sensing Signals. WWW Ruichu Cai, Zhifan Jiang, Kaitao Zheng, Zijian Li, Weilin Chen, Xuexin Chen, Yifan Shen, Guangyi Chen, Zhifeng Hao, Kun Zhang
2025	J	`jnl`	Leveraging Constrained Monte Carlo Tree Search to Generate Reliable Long Chain-of-Thought for Mathematical Reasoning. CoRR Qingwen Lin, Boyan Xu, Zijian Li, Zhifeng Hao, Keli Zhang, Ruichu Cai
2025	A*	`conf`	Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation Learning. IJCAI Ruichu Cai, Junjie Wan, Weilin Chen, Zeqin Yang, Zijian Li, Peng Zhen, Jiecheng Guo
2025	J	`jnl`	Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation Learning. CoRR Ruichu Cai, Junjie Wan, Weilin Chen, Zeqin Yang, Zijian Li, Peng Zhen, Jiecheng Guo
2025	B	`conf`	MATOT: A Model-Agnostic Constraint for Time Series Forecasting via Optimal Transport. IJCNN Ruichu Cai, Zhenhui Yang, Yuguang Yan, Haiqin Huang, Kaitao Zheng, Haozhi Chen, Zhifan Jiang, Zijian Li
2025	A*	`conf`	On the Identification of Temporal Causal Representation with Instantaneous Dependence. ICLR Zijian Li, Yifan Shen, Kaitao Zheng, Ruichu Cai, Xiangchen Song, Mingming Gong, Guangyi Chen, Kun Zhang
2025	J	`jnl`	Online Time Series Forecasting with Theoretical Guarantees. CoRR Zijian Li, Changze Zhou, Minghao Fu, Sanjay Manjunath, Fan Feng, Guangyi Chen, Yingyao Hu, Ruichu Cai, Kun Zhang
2025	J	`jnl`	Should Bias Always be Eliminated? A Principled Framework to Use Data Bias for OOD Generation. CoRR Yan Li, Guangyi Chen, Yunlong Deng, Zijian Li, Zeyu Tang, Anpeng Wu, Kun Zhang
2025	J	`jnl`	StateHPs: State Hawkes processes for Granger causal discovery from non-stationary event sequences. Inf. Sci. Yuequn Liu, Guangdong Sun, Ruichu Cai, Zijian Li, Keli Zhang, Lujia Pan, Zhifeng Hao
2025	A*	`conf`	Synergy Between Sufficient Changes and Sparse Mixing Procedure for Disentangled Representation Learning. ICLR Zijian Li, Shunxing Fan, Yujia Zheng, Ignavier Ng, Shaoan Xie, Guangyi Chen, Xinshuai Dong, Ruichu Cai, Kun Zhang
2025	J	`jnl`	Synergy Between Sufficient Changes and Sparse Mixing Procedure for Disentangled Representation Learning. CoRR Zijian Li, Shunxing Fan, Yujia Zheng, Ignavier Ng, Shaoan Xie, Guangyi Chen, Xinshuai Dong, Ruichu Cai, Kun Zhang
2025	J	`jnl`	Temporal Latent Variable Structural Causal Model for Causal Discovery under External Interferences. CoRR Ruichu Cai, Xiaokai Huang, Wei Chen, Zijian Li, Zhifeng Hao
2025	J	`jnl`	Temporal latent variable structural causal model for causal discovery under external interferences. Neurocomputing Ruichu Cai, Xiaokai Huang, Wei Chen, Zijian Li, Zhifeng Hao
2025	J	`jnl`	Time Series Domain Adaptation via Latent Invariant Causal Mechanism. CoRR Ruichu Cai, Junxian Huang, Zhenhui Yang, Zijian Li, Emadeldeen Eldele, Min Wu, Fuchun Sun
2025	J	`jnl`	Towards Identifiability of Hierarchical Temporal Causal Representation Learning. CoRR Zijian Li, Minghao Fu, Junxian Huang, Yifan Shen, Ruichu Cai, Yuewen Sun, Guangyi Chen, Kun Zhang
2025	J	`jnl`	Unifying invariant and variant features for graph out-of-distribution via probability of necessity and sufficiency. Neural Networks Xuexin Chen, Ruichu Cai, Kaitao Zheng, Zhifan Jiang, Zhengting Huang, Zhifeng Hao, Zijian Li
2024	J	`jnl`	Causal Representation Learning from Multimodal Biological Observations. CoRR 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
2024	A*	`conf`	Causal Temporal Representation Learning with Nonstationary Sparse Transition. NeurIPS Xiangchen Song, Zijian Li, Guangyi Chen, Yujia Zheng, Yewen Fan, Xinshuai Dong, Kun Zhang
2024	J	`jnl`	Causal Temporal Representation Learning with Nonstationary Sparse Transition. CoRR Xiangchen Song, Zijian Li, Guangyi Chen, Yujia Zheng, Yewen Fan, Xinshuai Dong, Kun Zhang
2024	J	`jnl`	Debiased Model-based Interactive Recommendation. CoRR Zijian Li, Ruichu Cai, Haiqin Huang, Sili Zhang, Yuguang Yan, Zhifeng Hao, Zhenghua Dong
2024	A*	`conf`	Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning. ICML Weilin Chen, Ruichu Cai, Zeqin Yang, Jie Qiao, Yuguang Yan, Zijian Li, Zhifeng Hao
2024	J	`jnl`	Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning. CoRR Weilin Chen, Ruichu Cai, Zeqin Yang, Jie Qiao, Yuguang Yan, Zijian Li, Zhifeng Hao
2024	A*	`conf`	Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation. ICML Xuexin Chen, Ruichu Cai, Zhengting Huang, Yuxuan Zhu, Julien Horwood, Zhifeng Hao, Zijian Li, José Miguel Hernández-Lobato
2024	J	`jnl`	Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation. CoRR Xuexin Chen, Ruichu Cai, Zhengting Huang, Yuxuan Zhu, Julien Horwood, Zhifeng Hao, Zijian Li, José Miguel Hernández-Lobato
2024	J	`jnl`	From Orthogonality to Dependency: Learning Disentangled Representation for Multi-Modal Time-Series Sensing Signals. CoRR Ruichu Cai, Zhifang Jiang, Zijian Li, Weilin Chen, Xuexin Chen, Zhifeng Hao, Yifan Shen, Guangyi Chen, Kun Zhang
2024	J	`jnl`	Graph Domain Adaptation: A Generative View. ACM Trans. Knowl. Discov. Data Ruichu Cai, Fengzhu Wu, Zijian Li, Pengfei Wei, Lingling Yi, Kun Zhang
2024	J	`jnl`	HateDebias: On the Diversity and Variability of Hate Speech Debiasing. CoRR Nankai Lin, Hongyan Wu, Zhengming Chen, Zijian Li, Lianxi Wang, Shengyi Jiang, Dong Zhou, Aimin Yang
2024	A*	`conf`	Individual Causal Structure Learning from Population Data. IJCAI Wei Chen, Xiaokai Huang, Zijian Li, Ruichu Cai, Zhiyi Huang, Zhifeng Hao
2024	A*	`conf`	LLCP: Learning Latent Causal Processes for Reasoning-based Video Question Answer. ICLR Guangyi Chen, Yuke Li, Xiao Liu, Zijian Li, Eman Al Suradi, Donglai Wei, Kun Zhang
2024	A*	`conf`	Learning Discrete Latent Variable Structures with Tensor Rank Conditions. NeurIPS Zhengming Chen, Ruichu Cai, Feng Xie, Jie Qiao, Anpeng Wu, Zijian Li, Zhifeng Hao, Kun Zhang
2024	J	`jnl`	Learning Discrete Latent Variable Structures with Tensor Rank Conditions. CoRR Zhengming Chen, Ruichu Cai, Feng Xie, Jie Qiao, Anpeng Wu, Zijian Li, Zhifeng Hao, Kun Zhang
2024	J	`jnl`	Motif Graph Neural Network. IEEE Trans. Neural Networks Learn. Syst. Xuexin Chen, Ruichu Cai, Yuan Fang, Min Wu, Zijian Li, Zhifeng Hao
2024	J	`jnl`	On the Identification of Temporally Causal Representation with Instantaneous Dependence. CoRR Zijian Li, Yifan Shen, Kaitao Zheng, Ruichu Cai, Xiangchen Song, Mingming Gong, Zhifeng Hao, Zhengmao Zhu, Guangyi Chen, Kun Zhang
2024	J	`jnl`	TEA: A Sequential Recommendation Framework via Temporally Evolving Aggregations. IEEE Trans. Neural Networks Learn. Syst. Zijian Li, Ruichu Cai, Fengzhu Wu, Sili Zhang, Hao Gu, Yuexing Hao, Yuguang Yan
2024	A*	`conf`	TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences. AAAI Yuequn Liu, Ruichu Cai, Wei Chen, Jie Qiao, Yuguang Yan, Zijian Li, Keli Zhang, Zhifeng Hao
2024	J	`jnl`	Time-series domain adaptation via sparse associative structure alignment: Learning invariance and variance. Neural Networks Zijian Li, Ruichu Cai, Jiawei Chen, Yuguang Yan, Wei Chen, Keli Zhang, Junjian Ye
2024	J	`jnl`	Transferable Time-Series Forecasting Under Causal Conditional Shift. IEEE Trans. Pattern Anal. Mach. Intell. Zijian Li, Ruichu Cai, Tom Z. J. Fu, Zhifeng Hao, Kun Zhang
2024	J	`jnl`	Unifying Invariance and Spuriousity for Graph Out-of-Distribution via Probability of Necessity and Sufficiency. CoRR Xuexin Chen, Ruichu Cai, Kaitao Zheng, Zhifan Jiang, Zhengting Huang, Zhifeng Hao, Zijian Li
2024	J	`jnl`	Unifying Invariant and Variant Features for Graph Out-of-Distribution via Probability of Necessity and Sufficiency. CoRR Xuexin Chen, Ruichu Cai, Kaitao Zheng, Zhifan Jiang, Zhengting Huang, Zhifeng Hao, Zijian Li
2024	J	`jnl`	When and How: Learning Identifiable Latent States for Nonstationary Time Series Forecasting. CoRR Zijian Li, Ruichu Cai, Zhenhui Yang, Haiqin Huang, Guangyi Chen, Yifan Shen, Zhengming Chen, Xiangchen Song, Zhifeng Hao, Kun Zhang
2023	J	`jnl`	Identifying Semantic Component for Robust Molecular Property Prediction. CoRR Zijian Li, Zunhong Xu, Ruichu Cai, Zhenhui Yang, Yuguang Yan, Zhifeng Hao, Guangyi Chen, Kun Zhang
2023	A*	`conf`	Subspace Identification for Multi-Source Domain Adaptation. NeurIPS Zijian Li, Ruichu Cai, Guangyi Chen, Boyang Sun, Zhifeng Hao, Kun Zhang
2023	J	`jnl`	Subspace Identification for Multi-Source Domain Adaptation. CoRR Zijian Li, Ruichu Cai, Guangyi Chen, Boyang Sun, Zhifeng Hao, Kun Zhang
2023	J	`jnl`	TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences. CoRR Ruichu Cai, Yuequn Liu, Wei Chen, Jie Qiao, Yuguang Yan, Zijian Li, Keli Zhang, Zhifeng Hao
2022	J	`jnl`	REST: Debiased Social Recommendation via Reconstructing Exposure Strategies. CoRR Ruichu Cai, Fengzhu Wu, Zijian Li, Jie Qiao, Wei Chen, Yuexing Hao, Hao Gu
2022	J	`jnl`	Time-Series Domain Adaptation via Sparse Associative Structure Alignment: Learning Invariance and Variance. CoRR Zijian Li, Ruichu Cai, Jiawei Chen, Yuguan Yan, Wei Chen, Keli Zhang, Junjian Ye
2021	A*	`conf`	Aggregating From Multiple Target-Shifted Sources. ICML Changjian Shui, Zijian Li, Jiaqi Li, Christian Gagné, Charles X. Ling, Boyu Wang
2021	J	`jnl`	Aggregating From Multiple Target-Shifted Sources. CoRR Changjian Shui, Zijian Li, Jiaqi Li, Christian Gagné, Charles X. Ling, Boyu Wang
2021	J	`jnl`	Causal Mechanism Transfer Network for Time Series Domain Adaptation in Mechanical Systems. ACM Trans. Intell. Syst. Technol. Zijian Li, Ruichu Cai, Hong Wei Ng, Marianne Winslett, Tom Z. J. Fu, Boyan Xu, Xiaoyan Yang, Zhenjie Zhang
2021	A*	`conf`	Domain Adaptation with Invariant Representation Learning: What Transformations to Learn? NeurIPS Petar Stojanov, Zijian Li, Mingming Gong, Ruichu Cai, Jaime G. Carbonell, Kun Zhang
2021	J	`jnl`	Graph Domain Adaptation: A Generative View. CoRR Ruichu Cai, Fengzhu Wu, Zijian Li, Pengfei Wei, Lingling Yi, Kun Zhang
2021	J	`jnl`	Motif Graph Neural Network. CoRR Xuexin Chen, Ruichu Cai, Yuan Fang, Min Wu, Zijian Li, Zhifeng Hao
2021	J	`jnl`	Semi-supervised disentangled framework for transferable named entity recognition. Neural Networks Zhifeng Hao, Di Lv, Zijian Li, Ruichu Cai, Wen Wen, Boyan Xu
2021	J	`jnl`	TEA: A Sequential Recommendation Framework via Temporally Evolving Aggregations. CoRR Zijian Li, Ruichu Cai, Fengzhu Wu, Sili Zhang, Hao Gu, Yuexing Hao, Yuguang
2021	A*	`conf`	Time Series Domain Adaptation via Sparse Associative Structure Alignment. AAAI Ruichu Cai, Jiawei Chen, Zijian Li, Wei Chen, Keli Zhang, Junjian Ye, Zhuozhang Li, Xiaoyan Yang, Zhenjie Zhang
2021	J	`jnl`	Transferable Time-Series Forecasting under Causal Conditional Shift. CoRR Zijian Li, Ruichu Cai, Tom Z. J. Fu, Kun Zhang
2020	J	`jnl`	Learning Disentangled Semantic Representation for Domain Adaptation. CoRR Ruichu Cai, Zijian Li, Pengfei Wei, Jie Qiao, Kun Zhang, Zhifeng Hao
2020	J	`jnl`	Semi-Supervised Disentangled Framework for Transferable Named Entity Recognition. CoRR Zhifeng Hao, Di Lv, Zijian Li, Ruichu Cai, Wen Wen, Boyan Xu
2020	A*	`conf`	TAG : Type Auxiliary Guiding for Code Comment Generation. ACL Ruichu Cai, Zhihao Liang, Boyan Xu, Zijian Li, Yuexing Hao, Yao Chen
2020	J	`jnl`	TAG : Type Auxiliary Guiding for Code Comment Generation. CoRR Ruichu Cai, Zhihao Liang, Boyan Xu, Zijian Li, Yuexing Hao, Yao Chen
2020	J	`jnl`	Time Series Domain Adaptation via Sparse Associative Structure Alignment. CoRR Ruichu Cai, Jiawei Chen, Zijian Li, Wei Chen, Keli Zhang, Junjian Ye, Zhuozhang Li, Xiaoyan Yang, Zhenjie Zhang
2019	J	`jnl`	Causal Mechanism Transfer Network for Time Series Domain Adaptation in Mechanical Systems. CoRR Zijian Li, Ruichu Cai, Kok-Soon Chai, Hong Wei Ng, Hoang Dung Vu, Marianne Winslett, Tom Z. J. Fu, Boyan Xu, Xiaoyan Yang, Zhenjie Zhang
2019	J	`jnl`	Disentanglement Challenge: From Regularization to Reconstruction. CoRR Jie Qiao, Zijian Li, Boyan Xu, Ruichu Cai, Kun Zhang
2019	A*	`conf`	Learning Disentangled Semantic Representation for Domain Adaptation. IJCAI Ruichu Cai, Zijian Li, Pengfei Wei, Jie Qiao, Kun Zhang, Zhifeng Hao
2019	J	`jnl`	NADAQ: Natural Language Database Querying Based on Deep Learning. IEEE Access Boyan Xu, Ruichu Cai, Zhenjie Zhang, Xiaoyan Yang, Zhifeng Hao, Zijian Li, Zhihao Liang
2018	A*	`conf`	An Encoder-Decoder Framework Translating Natural Language to Database Queries. IJCAI Ruichu Cai, Boyan Xu, Zhenjie Zhang, Xiaoyan Yang, Zijian Li, Zhihao Liang
2017	J	`jnl`	An Encoder-Decoder Framework Translating Natural Language to Database Queries. CoRR Ruichu Cai, Boyan Xu, Xiaoyan Yang, Zhenjie Zhang, Zijian Li