- [1] Ruichu Cai, Zhifan Jiang, Kaitao Zheng, Zijian Li*, Weilin Chen, Xuexin Chen, Yifan Shen, Guangyi Chen, Zhifeng Hao, Kun Zhang. Learning Disentangled Representation for Multi-Modal Time-Series Sensing Signals. WWW 2025. (CCF A 类).
- [2] Xuexin Chen, Ruichu Cai*, Kaitao Zheng, Zhifan Jiang, Zhengting Huang, Zhifeng Hao, Zijian Li. Unifying invariant and variant features for graph out-of-distribution via probability of necessity and sufficiency. Neural Networks,2025. (SCI 一区).
- [3] Ruichu Cai, Haiqin Huang, Zhifan Jiang, Changze Zhou, Yuequn Liu, Yuming Liu, Zhifeng Hao, Zijian Li*. Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting. AAAI 2025. (CCF A 类).
- [4] Ruichu Cai, Junhao Lu, Zhongjie Chen, Boyan Xu*, Zhifeng Hao. Handling Missing Entities in Zero-Shot Named Entity Recognition: Integrated Recall and Retrieval Augmentation. NAACL 2025. (CCF B 类).
- [5] Ruichu Cai , Shengyin Yu , Jiahao Zhang , Wei Chen , Boyan Xu*, Keli Zhang. Dr.ECI: Infusing Large Language Models with Causal Knowledge for Decomposed Reasoning in Event Causality Identification. Coling 2025.(CCF B类).
- [6] Jian Zhu，Shuliu Wu，Yutang Xiao*, Boyu Wang，Ruichu Cai. Dual-contrastive Multi-view Graph Attention Network for Industrial Fault Diagnosis under Domain and Label Shift. IEEE Transactions on Instrumentation & Measurement.,2025. (SCI 二区).
- [7] Yali Feng, Wen Wen, Zhifeng Hao, Ruichu Cai. Time-aware tensor factorization for temporal recommendation. Applied Intelligence. 2025,35(36). (SCI二区).
- [8] Zhun Fan, Zihao Xia, Che Lin, Gaofei Han, Wenji Li, Dongliang Wang, Yindong Chen, Zhifeng Hao, Ruichu Cai, Jiafan Zhuang. UAV Collision Avoidance in Unknown Scenarios with Causal Representation Disentanglement. Drones,2025 (SCI二区).
- [9] Xuexin Chen, Ruichu Cai*, Zhengting Huang, Zijian Li, Jie Zheng, Min Wu*. Interpretable High-order Knowledge Graph Neural Network for Predicting Synthetic Lethality in Human Cancers. Briefings in Bioinformatics,2025 (SCI 二区).
- [10] Yuguang Yan, Canlin Yang, Yuanlin Chen, Ruichu Cai*, Michael Ng. Hypergraph Learning for Unsupervised Graph Alignment via Optimal Transport.. AAAI 2025. (CCF A类).
- [11] Bingfeng Chen, Haoran Xu, Yongqi Luo, Boyan Xu*, Ruichu Cai and Zhifeng Hao. CACA: Context-Aware Cross-Attention Network for Extractive Aspect Sentiment Quad Prediction. Coling 2025. (CCF B类).
- [12] Boyan Xu, Yuyuan Cai, Shaobin Shi, Zhifeng Hao, Ruichu Cai*. Chat2DB: Chatting to the Database with Interactive Agent Assisted Language Models. ICDE 2025. (CCF A类).
- [13] Bingfeng chen, Shaobin Shi, yongqi luo, Boyan Xu*, Ruichu Cai, Zhifeng Hao. Track-SQL: Enhancing Generative Language Models with Dual-Extractive Modules for Schema and Context Tracking in Multi-turn Text-to-SQL. NAACL 2025. (CCF B类).
- [14] Bingfeng chen, Chenjie Qiu, Yifeng Xie, Boyan Xu*, Ruichu Cai, Zhifeng Hao. $S^2$IT: Stepwise Syntax Integration Tuning for Large Language Models in Aspect Sentiment Quad Prediction. NAACL 2025. (CCF B类).
- [15] Yuan Fang, Xiaofeng Feng, Geping Yang, Ruichu Cai, Yiyang Yang*, Zhiguo Gong*, Zhifeng Hao. EVA-MVC: Equitable View-weight Allocation for Generic Multi-View Clustering. WWW 2025. (CCF A类).
- [16] Zijian Li, Yifan Shen, Kaitao Zheng, Ruichu Cai*, Xiangchen Song, Mingming Gong, Guangyi Chen, Kun Zhang. On the Identification of Temporal Causal Representation with Instantaneous Dependence. ICLR 2025..
- [17] Zijian Li, Shunxing Fan, Yujia Zheng, Ignavier Ng, Shaoan Xie, Guangyi Chen, Xinshuai Dong, Ruichu Cai, Kun Zhang. Synergy Between Sufficient Changes and Sparse Mixing Procedure for Disentangled Representation Learning. ICLR 2025. .
- [18] Chengxing Lin, Wenju Xu, Jian Zhu*, Yongwei Nie*, Ruichu Cai, Xuemiao Xu. PatchMixing Masked Autoencoders for 3D Point Cloud Self-Supervised Learning. TCSVT (SCI 一区).
- [19] Yan Zeng, Ruichu Cai, Fuchun Sun, Libo Huang, Zhifeng Hao. A survey on causal reinforcement learning. TNNLS, 2024.（SCI 一区）.
- [20] Zhengming Chen, Jie Qiao, Feng Xie, Ruichu Cai*, Zhifeng Hao, Keli Zhang. Testing Conditional Independence Between Latent Variables by Independence Residuals. TNNLS, 2024. (SCI 一区).
- [21] Zijian Li, RuiChu Cai, Jiawei Chen, Yuguang Yan, Wei Chen, Keli Zhang, Junjian Ye. Time-Series Domain Adaptation via Sparse Associative Structure Alignment: Learning Invariance and Variance. Neural Networks, 2024. (SCI 一区).
- [22] Jie Qiao, Yu Xiang, Zhengming Chen, Ruichu Cai*, Zhifeng Hao. Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis. AAAI 2024. (CCF A类).
- [23] Yuguang Yan, Yuanlin Chen, Shibo Wang, Hanrui Wu, Ruichu Cai*. Hypergraph Joint Representation Learning for Hypervertices and Hyperedges via Cross Expansion. AAAI 2024. (CCF A类).
- [24] Yuguang Yan, Zhihao Xu, Canlin Yang, Jie Zhang, Ruichu Cai*,. An Optimal Transport View for Subspace Clustering and Spectral Clustering. AAAI 2024. (CCF A类).
- [25] Yuguang Yan, Zeqin Yang, Weilin Chen, Ruichu Cai*, Zhifeng Hao, Michael Kwok-Po Ng. Exploiting Geometry for Treatment Effect Estimation via Optimal Transport. AAAI 2024. (CCF A类).
- [26] Jie Qiao, Zhengming Chen, Jianhua Yu, Ruichu Cai*, Zhifeng Hao. Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model. AAAI 2024. (CCF A类).
- [27] Yuequn Liu, Ruichu Cai*, Wei Chen, Jie Qiao, Yuguang Yan, Zijian Li, Keli Zhang, Zhifeng Hao. TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences. AAAI 2024. (CCF A类).
- [28] Wei Chen, Zhiyi Huang, Ruichu Cai*, Zhifeng Hao, Kun Zhang. Identification of Causal Structure with Latent Variables based on Higher Order Cumulants. AAAI 2024. (CCF A类).
- [29] Bingfeng Chen, Qihan Ouyang, Yongqi Luo, Boyan Xu*, Ruichu Cai, Zhifeng Hao. S2GSL: Incorporating Segment to Syntactic Enhanced Graph Structure Learning for Aspect-based Sentiment Analysis. ACL 2024. (CCF A类).
- [30] Jiahao Li, Ruichu Cai*, Yuguang Yan. Combinatorial Routing for Neural Trees. IJCAI 2024.(CCF A类).
- [31] Wei Chen, Xiaokai Huang, Zijian Li, Ruichu Cai*, Zhiyi Huang, Zhifeng Hao. Individual Causal Structure Learning from Population Data. IJCAI 2024. (CCF A类).
- [32] Weilin Chen, Ruichu Cai*, Zeqin Yang, Jie Qiao, Yuguang Yan, Zijian Li, Zhifeng Hao. Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning. ICML 2024.(CCF A类).
- [33] Feng Xie, Zhengming Chen, Shanshan Luo, Wang Miao, Ruichu Cai, Zhi Geng. Automating the Selection of Proxy Variables of Unmeasured Confounders. ICML 2024.(CCF A类).
- [34] Xuexin Chen, Ruichu Cai*, Zhengting Huang, Yuxuan Zhu, Julien Horwood, Zhifeng Hao, Zijian Li, Jose Miguel Hernandez-Lobato. Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation. ICML 2024.(CCF A类).
- [35] Yuguang Yan, Hao Zhou, Zeqin Yang, Weilin Chen, Ruichu Cai*, Zhifeng Hao. Reducing Balancing Error for Causal Inference via Optimal Transport. ICML.2024.(CCF A类).
- [36] Zhengming Chen, Ruichu Cai*, Feng Xie, Jie Qiao,Anpeng Wu, Zijian Li, Zhifeng Hao, Kun Zhang*. Learning Discrete Latent Variable Structures with Tensor Rank Conditions. NeurIPS 2024 (CCF A类).
- [37] Yu Xiang†, Jie Qiao†, Zhefeng Liang, Zihuai Zeng, Ruichu Cai*, Zhifeng Hao. On the Identifiability of Poisson Branching Structural Causal Model Using Probability Generating Function. NeurIPS 2024 (CCF A类).
- [38] Ruichu Cai, Fengzhu Wu, Zijian Li, Pengfei Wei, Lingling Yi, Kun Zhang. Graph Domain Adaptation: A Generative View. TKDD 2024:18(3):1-24..
- [39] Ruichu Cai, Yunjin Wu, Xiaokai Huang, Wei Chen, Tom ZJ Fu, Zhifeng Hao. Granger causal representation learning for groups of time series. Science China Information Sciences, 2024. (SCI 二区).
- [40] Ruichu Cai*, Weilin Chen, Zeqin Yang, Shu Wan, Chen Zheng, Xiaoqing Yang, Jiecheng Guo. Long-term Causal Effects Estimation via Latent Surrogates Representation Learning. Neural Networks, 2024: 176,106336.(SCI 一区).
- [41] Ruichu Cai, Yuxuan Zhu, Jie Qiao*, Zefeng Liang, Furui Liu, Zhifeng Hao. Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples. AAAI 2024. (CCF A类).
- [42] Jie Qiao, Ruichu Cai*, Siyu Wu, Yu Xiang,Keli Zhang, Zhifeng Hao. Structural Hawkes Processes for Learning Causal Structure from Discrete-TimeEvent Sequences. IJCAI 2023. (CCF A类).
- [43] Zhengming Chen, Feng Xie, Jie Qiao, Zhifeng Hao, Ruichu Cai*. Some General Identification Results for Linear Latent Hierarchical Causal Structure. IJCAI 2023. (CCF A类).
- [44] Xuexin Chen, Ruichu Cai*, Yuan Fang, Min Wu, Zijian Li, Zhifeng Hao. Motif Graph Neural Network. IEEE Transactions on Neural Networks and Learning Systems. 2023:35(10)14833 - 14847 (SCI一区).
- [45] Zijian Li, Ruichu Cai*, Tom Z. J. Fu, Zhifeng Hao, Kun Zhang. Transferable Time-Series Forecasting under Causal Conditional Shift. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2023:14:1-18 (SCI一区).
- [46] Weilin Chen, Jie Qiao, Ruichu Cai*, Zhifeng Hao. On the role of entropy-based loss for learning causal structures with continuous optimization. TNNLS.2023:31:5651-5726 (SCI一区).
- [47] Ruichu Cai, Zeqin Yang, Weilin Chen, Yuguang Yan, Zhifeng Hao. Generalization Bound for Estimating Causal Effects from Observational Network Data. CIKM 2023. (CCF B类).
- [48] Ruichu Cai, Zhiyi Huang, Wei Chen, Zhifeng Hao, Kun Zhang. Causal Discovery with Latent Confounders Based on Higher-Order Cumulants. ICML 2023. (CCF A类).
- [49] Ruichu Cai, Liting Huang, Wei Chen*, Jie Qiao, Zhifeng Hao. Learning dynamic causal mechanisms from non-stationary data. Applied Intelligence, 2023, 53(5): 5437-5448. (SCI二区).
- [50] Ruichu Cai*, Fengzhu Wu, Zijian Li, Jie Qiao, Wei Chen, Yuexing Hao, Hao Gu. REST: Debiased Social Recommendation via Reconstructing Exposure Strategies. TKDD 2023:18(2):1-24..
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蔡瑞初
个人信息
- 教授
博士生导师
硕士生导师 - 教师英文名称：Ruichu Cai
- 教师拼音名称：cairuichu
- 入职时间：2010-07-01
- 所在单位：计算机学院
- 学历：博士
- 性别：男
- 联系方式：cairuichu@gmail.com
- 学位：工学博士学位
- 职称：教授
- 在职信息：在职
学术荣誉：
- 2014当选：省高端人才
- 2021当选：国家优秀青年基金获得者
其他联系方式
- 邮箱: cairuichu@gdut.edu.cn
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