| 2026 | AAAI | Horizontal and Vertical Federated Causal Structure Learning via Higher-order Cumulants. | Wei Chen, Wanyang Gu, Linjun Peng, Ting Yan, Ruichu Cai, Zhifeng Hao, Kun Zhang |
| 2026 | AAAI | CAMA: Enhancing Mathematical Reasoning in Large Language Models with Causal Knowledge. | Lei Zan, Keli Zhang, Ruichu Cai, Lujia Pan |
| 2026 | ACL | SAM-NER: Semantic Archetype Mediation for Zero-Shot Named Entity Recognition. | Ruichu Cai, Juntao Gan, Miao Mai, Zhifeng Hao, Boyan Xu |
| 2026 | ACL | SERE: Structural Example Retrieval for Enhancing LLMs in Event Causality Identification. | Zhifeng Hao, Zhongjie Chen, Junhao Lu, Shengyin Yu, Guimin Hu, Keli Zhang, Ruichu Cai, Boyan Xu |
| 2026 | IUI | CausalAgent: A Conversational Multi-Agent System for End-to-End Causal Inference. | Jiawei Zhu, Wei Chen, Ruichu Cai |
| 2025 | AAAI | 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 |
| 2025 | AAAI | Hypergraph Learning for Unsupervised Graph Alignment via Optimal Transport. | Yuguang Yan, Canlin Yang, Yuanlin Chen, Ruichu Cai, Michael Ng |
| 2025 | COLING | Dr.ECI: Infusing Large Language Models with Causal Knowledge for Decomposed Reasoning in Event Causality Identification. | Ruichu Cai, Shengyin Yu, Jiahao Zhang, Wei Chen, Boyan Xu, Keli Zhang |
| 2025 | COLING | CACA: Context-Aware Cross-Attention Network for Extractive Aspect Sentiment Quad Prediction. | Bingfeng Chen, Haoran Xu, Yongqi Luo, Boyan Xu, Ruichu Cai, Zhifeng Hao |
| 2025 | CSCWD | Rank Constraints of High-Order Cumulants for Learning Linear Non-Gaussian Latent Polytree. | Ruichu Cai, Ying Shen, Zhengming Chen, Feng Xie, Yu Xiang, Zhifeng Hao |
| 2025 | EMNLP | GenLink: Generation-Driven Schema-Linking via Multi-Model Learning for Text-to-SQL. | Zhifeng Hao, Junqi Huang, Shaobin Shi, Ruichu Cai, Boyan Xu |
| 2025 | ICDE | Chat2DB: Chatting to the Database with Interactive Agent Assisted Language Models. | Boyan Xu, Yuyuan Cai, Shaobin Shi, Zhifeng Hao, Ruichu Cai |
| 2025 | ICLR | 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 |
| 2025 | ICLR | 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 |
| 2025 | ICML | Identification of Latent Confounders via Investigating the Tensor Ranks of the Nonlinear Observations. | Zhengming Chen, Yewei Xia, Feng Xie, Jie Qiao, Zhifeng Hao, Ruichu Cai, Kun Zhang |
| 2025 | ICML | Reducing Confounding Bias without Data Splitting for Causal Inference via Optimal Transport. | Yuguang Yan, Zongyu Li, Haolin Yang, Zeqin Yang, Hao Zhou, Ruichu Cai, Zhifeng Hao |
| 2025 | IJCAI | 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 |
| 2025 | IJCAI | 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 |
| 2025 | IJCAI | Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting. | Wei Chen, Jiahao Zhang, Haipeng Zhu, Boyan Xu, Zhifeng Hao, Keli Zhang, Junjian Ye, Ruichu Cai |
| 2025 | IJCNN | Mitigating Q-Value Overestimation through Latent Causal Modeling in Deep Reinforcement Learning. | Ruichu Cai, Fuyi Lin, Wei Chen, Jie Qiao, Haipeng Zhu, Zhifeng Hao |
| 2025 | IJCNN | MATOT: A Model-Agnostic Constraint for Time Series Forecasting via Optimal Transport. | Ruichu Cai, Zhenhui Yang, Yuguang Yan, Haiqin Huang, Kaitao Zheng, Haozhi Chen, Zhifan Jiang, Zijian Li |
| 2025 | IJCNN | SDFDA: Modeling Spectral Distribution for Time-Series Forecasting Domain Adaptation. | Daoxin Chen, Ruichu Cai, Haozhi Chen, Zhenhui Yang |
| 2025 | IJCNN | Cross-Network Relationship Learning via Optimal Transport for Link Prediction. | Zhifeng Hao, Zihan Chen, Zhiwei Chen, Yuguang Yan, Ruichu Cai |
| 2025 | IJCNN | PEFT Innovations in Text-to-SQL: Adapter and Prefix Tuning Methods with Structural Awareness. | Zhifeng Hao, Yuyuan Cai, Shaobin Shi, Boyan Xu, Ruichu Cai |
| 2025 | NAACL | Handling Missing Entities in Zero-Shot Named Entity Recognition: Integrated Recall and Retrieval Augmentation. | Ruichu Cai, Junhao Lu, Zhongjie Chen, Boyan Xu, Zhifeng Hao |
| 2025 | NAACL | \mathcalS²IT: Stepwise Syntax Integration Tuning for Large Language Models in Aspect Sentiment Quad Prediction. | Bingfeng Chen, Chenjie Qiu, Yifeng Xie, Boyan Xu, Ruichu Cai, Zhifeng Hao |
| 2025 | NAACL | Track-SQL: Enhancing Generative Language Models with Dual-Extractive Modules for Schema and Context Tracking in Multi-turn Text-to-SQL. | Bingfeng Chen, Shaobin Shi, Yongqi Luo, Boyan Xu, Ruichu Cai, Zhifeng Hao |
| 2025 | PRICAI | Balanced Learning for Incremental Multi-view Clustering. | Lijuan Wang, Feng Chen, Ming Yin, Zhifeng Hao, Ruichu Cai, Wei Chen, Xuan Xiong |
| 2025 | PRICAI | High-Order Information Embedding Transfer for Clustering with Constrained Laplacian Rank. | Lijuan Wang, Wenping Xiong, Guangdong Sun, Ming Yin, Zhifeng Hao, Ruichu Cai, Wei Chen, Minghua Zhao |
| 2025 | WWW | Learning Disentangled Representation for Multi-Modal Time-Series Sensing Signals. | Ruichu Cai, Zhifan Jiang, Kaitao Zheng, Zijian Li, Weilin Chen, Xuexin Chen, Yifan Shen, Guangyi Chen, Zhifeng Hao, Kun Zhang |
| 2025 | WWW | EVA-MVC: Equitable View-weight Allocation for Generic Multi-View Clustering. | Yuan Fang, Xiaofeng Feng, Geping Yang, Ruichu Cai, Yiyang Yang, Zhiguo Gong, Zhifeng Hao |
| 2024 | AAAI | Identification of Causal Structure with Latent Variables Based on Higher Order Cumulants. | Wei Chen, Zhiyi Huang, Ruichu Cai, Zhifeng Hao, Kun Zhang |
| 2024 | AAAI | Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples. | Ruichu Cai, Yuxuan Zhu, Jie Qiao, Zefeng Liang, Furui Liu, Zhifeng Hao |
| 2024 | AAAI | 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 |
| 2024 | AAAI | Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model. | Jie Qiao, Zhengming Chen, Jianhua Yu, Ruichu Cai, Zhifeng Hao |
| 2024 | AAAI | Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis. | Jie Qiao, Yu Xiang, Zhengming Chen, Ruichu Cai, Zhifeng Hao |
| 2024 | AAAI | Hypergraph Joint Representation Learning for Hypervertices and Hyperedges via Cross Expansion. | Yuguang Yan, Yuanlin Chen, Shibo Wang, Hanrui Wu, Ruichu Cai |
| 2024 | AAAI | An Optimal Transport View for Subspace Clustering and Spectral Clustering. | Yuguang Yan, Zhihao Xu, Canlin Yang, Jie Zhang, Ruichu Cai, Michael Kwok-Po Ng |
| 2024 | AAAI | Exploiting Geometry for Treatment Effect Estimation via Optimal Transport. | Yuguang Yan, Zeqin Yang, Weilin Chen, Ruichu Cai, Zhifeng Hao, Michael Kwok-Po Ng |
| 2024 | ACL | S²GSL: Incorporating Segment to Syntactic Enhanced Graph Structure Learning for Aspect-based Sentiment Analysis. | Bingfeng Chen, Qihan Ouyang, Yongqi Luo, Boyan Xu, Ruichu Cai, Zhifeng Hao |
| 2024 | ICML | Automating the Selection of Proxy Variables of Unmeasured Confounders. | Feng Xie, Zhengming Chen, Shanshan Luo, Wang Miao, Ruichu Cai, Zhi Geng |
| 2024 | ICML | 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, Jos Miguel Hernndez-Lobato |
| 2024 | ICML | 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 |
| 2024 | ICML | Reducing Balancing Error for Causal Inference via Optimal Transport. | Yuguang Yan, Hao Zhou, Zeqin Yang, Weilin Chen, Ruichu Cai, Zhifeng Hao |
| 2024 | IJCAI | Individual Causal Structure Learning from Population Data. | Wei Chen, Xiaokai Huang, Zijian Li, Ruichu Cai, Zhiyi Huang, Zhifeng Hao |
| 2024 | IJCAI | Combinatorial Routing for Neural Trees. | Jiahao Li, Ruichu Cai, Yuguang Yan |
| 2023 | CIKM | Generalization Bound for Estimating Causal Effects from Observational Network Data. | Ruichu Cai, Zeqin Yang, Weilin Chen, Yuguang Yan, Zhifeng Hao |
| 2023 | ICML | Causal Discovery with Latent Confounders Based on Higher-Order Cumulants. | Ruichu Cai, Zhiyi Huang, Wei Chen, Zhifeng Hao, Kun Zhang |
| 2023 | ICONIP | Latent Causal Dynamics Model for Model-Based Reinforcement Learning. | Zhifeng Hao, Haipeng Zhu, Wei Chen, Ruichu Cai |
| 2023 | IJCAI | Some General Identification Results for Linear Latent Hierarchical Causal Structure. | Zhengming Chen, Feng Xie, Jie Qiao, Zhifeng Hao, Ruichu Cai |
| 2023 | IJCAI | Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences. | Jie Qiao, Ruichu Cai, Siyu Wu, Yu Xiang, Keli Zhang, Zhifeng Hao |
| 2022 | AAAI | Identification of Linear Latent Variable Model with Arbitrary Distribution. | Zhengming Chen, Feng Xie, Jie Qiao, Zhifeng Hao, Kun Zhang, Ruichu Cai |
| 2022 | ICASSP | Causal Alignment Based Fault Root Causes Localization for Wireless Network. | Yuequn Liu, Wenhui Zhu, Jie Qiao, Zhiyi Huang, Yu Xiang, Xuanzhi Chen, Wei Chen, Ruichu Cai |
| 2021 | AAAI | 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 |
| 2021 | AAAI | Appearance-Motion Memory Consistency Network for Video Anomaly Detection. | Ruichu Cai, Hao Zhang, Wen Liu, Shenghua Gao, Zhifeng Hao |
| 2021 | IJCAI | Causal Discovery with Multi-Domain LiNGAM for Latent Factors. | Yan Zeng, Shohei Shimizu, Ruichu Cai, Feng Xie, Michio Yamamoto, Zhifeng Hao |
| 2020 | ACL | TAG : Type Auxiliary Guiding for Code Comment Generation. | Ruichu Cai, Zhihao Liang, Boyan Xu, Zijian Li, Yuexing Hao, Yao Chen |
| 2020 | HPCC | DRS+: Load Shedding Meets Resource Auto-Scaling in Distributed Stream Processing. | Kailin Tang, Zhifeng Hao, Ruichu Cai, Tom Z. J. Fu, Yin Yang, Li Wang, Marianne Winslett, Zhenjie Zhang |
| 2020 | Interspeech | Meta Multi-Task Learning for Speech Emotion Recognition. | Ruichu Cai, Kaibin Guo, Boyan Xu, Xiaoyan Yang, Zhenjie Zhang |
| 2019 | IJCAI | Learning Disentangled Semantic Representation for Domain Adaptation. | Ruichu Cai, Zijian Li, Pengfei Wei, Jie Qiao, Kun Zhang, Zhifeng Hao |
| 2019 | IJCAI | Causal Discovery with Cascade Nonlinear Additive Noise Model. | Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao |
| 2018 | AAAI | SELF: Structural Equational Likelihood Framework for Causal Discovery. | Ruichu Cai, Jie Qiao, Zhenjie Zhang, Zhifeng Hao |
| 2018 | ICANN | Generating Natural Answers on Knowledge Bases and Text by Sequence-to-Sequence Learning. | Zhihao Ye, Ruichu Cai, Zhaohui Liao, Zhifeng Hao, Jinfen Li |
| 2018 | ICDE | Waterwheel: Realtime Indexing and Temporal Range Query Processing over Massive Data Streams. | Li Wang, Ruichu Cai, Tom Z. J. Fu, Jiong He, Zijie Lu, Marianne Winslett, Zhenjie Zhang |
| 2018 | ICONIP | Identification of Causality Among Gene Mutations Through Local Causal Association Rule Discovery. | Ruichu Cai, Qiqi Zhen, Zhifeng Hao |
| 2018 | IJCAI | An Encoder-Decoder Framework Translating Natural Language to Database Queries. | Ruichu Cai, Boyan Xu, Zhenjie Zhang, Xiaoyan Yang, Zijian Li, Zhihao Liang |
| 2018 | ICWS | HPC2-ARS: An Architecture for Real-Time Analytic of Big Data Streams. | Yingchao Cheng, Zhifeng Hao, Ruichu Cai, Wen Wen |
| 2018 | UIC | Resource-Aware Stream Processing in High Performance Cloud Environment. | Yingchao Cheng, Zhifeng Hao, Ruichu Cai, Wen Wen, Lijuan Wang, Zhongrun Zhou |
| 2017 | ICDM | An CNN-LSTM Attention Approach to Understanding User Query Intent from Online Health Communities. | Ruichu Cai, Binjun Zhu, Lei Ji, Tianyong Hao, Jun Yan, Wenyin Liu |
| 2017 | IJCAI | A Robust Noise Resistant Algorithm for POI Identification from Flickr Data. | Yiyang Yang, Zhiguo Gong, Qing Li, Leong Hou U, Ruichu Cai, Zhifeng Hao |
| 2017 | IWQoS | An efficient kurtosis-based causal discovery method for linear non-Gaussian acyclic data. | Ruichu Cai, Feng Xie, Wei Chen, Zhifeng Hao |
| 2016 | APWEB | Sentiment Target Extraction Based on CRFs with Multi-features for Chinese Microblog. | Bingfeng Chen, Zhifeng Hao, Ruichu Cai, Wen Wen, Shenzhi Du |
| 2016 | SDM | Multi-Domain Manifold Learning for Drug-Target Interaction Prediction. | Ruichu Cai, Zhenjie Zhang, Srinivasan Parthasarathy, Anthony K. H. Tung, Zhifeng Hao, Wen Zhang |
| 2015 | APWEB | A Semi-supervised Solution for Cold Start Issue on Recommender Systems. | Zhifeng Hao, Yingchao Cheng, Ruichu Cai, Wen Wen, Lijuan Wang |
| 2015 | APWEB | Mining the Discriminative Word Sets for Bag-of-Words Model Based on Distributional Similarity Graph. | Wen Wen, Zhifeng Hao, Ruichu Cai |
| 2014 | ICONIP | A Causal Model for Disease Pathway Discovery. | Ruichu Cai, Chang Yuan, Zhifeng Hao, Wen Wen, Lijuan Wang, Weiqi Chen, Zhihao Li |
| 2013 | ICML | SADA: A General Framework to Support Robust Causation Discovery. | Ruichu Cai, Zhenjie Zhang, Zhifeng Hao |
| 2013 | ICMLC | An improved local adaptive clustering ensemble based on link analysis. | Li-Juan Wang, Zhifeng Hao, Ruichu Cai, Wen Wen |
| 2012 | ICNC | Gaussian process learning for image classification based on low-level features. | Wen Wen, Zhifeng Hao, Ruichu Cai, Zhuangfeng Shao |
| 2009 | SIGMOD | Kernel-based skyline cardinality estimation. | Zhenjie Zhang, Yin Yang, Ruichu Cai, Dimitris Papadias, Anthony K. H. Tung |
| 2007 | ICCS | An ACO Algorithm with Adaptive Volatility Rate of Pheromone Trail. | Zhifeng Hao, Han Huang, Yong Qin, Ruichu Cai |
| 2007 | IJCNN | A Novel Gene Ranking Algorithm Based on Random Subspace Method. | Ruichu Cai, Zhifeng Hao, Wen Wen |