Ruichu Cai - RankMe

289 papers A* 51A 5B 11C 3Misc 4Journal 184Unranked 30

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	A*	`conf`	CAMA: Enhancing Mathematical Reasoning in Large Language Models with Causal Knowledge. AAAI Lei Zan, Keli Zhang, Ruichu Cai, Lujia Pan
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	—	`conf`	CausalAgent: A Conversational Multi-Agent System for End-to-End Causal Inference. IUI Companion Jiawei Zhu, Wei Chen, Ruichu Cai
2026	J	`jnl`	CausalAgent: A Conversational Multi-Agent System for End-to-End Causal Inference. CoRR Jiawei Zhu, Wei Chen, 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`	Gradient-decomposition based continual embedding method for growing knowledge graphs. Int. J. Mach. Learn. Cybern. Meihua Wang, Jie Huang, Wen Wen, Ruichu Cai, Peijie Huang, Yuhong Xu, Xinlong Ling
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`	Higher Order Cumulants-Based Method for Direct and Efficient Causal Discovery. IEEE Trans. Neural Networks Learn. Syst. Wei Chen, Linjun Peng, Zhiyi Huang, Ruichu Cai, Zhifeng Hao, Kun Zhang
2026	A*	`conf`	Horizontal and Vertical Federated Causal Structure Learning via Higher-order Cumulants. AAAI Wei Chen, Wanyang Gu, Linjun Peng, Ting Yan, Ruichu Cai, Zhifeng Hao, Kun Zhang
2026	J	`jnl`	Learning by doing: an online causal reinforcement learning framework with causal-aware policy. Sci. China Inf. Sci. Ruichu Cai, Siyang Huang, Jie Qiao, Wei Chen, Yan Zeng, Keli Zhang, Fuchun Sun, Yang Yu, Zhifeng Hao
2026	J	`jnl`	Learning high-order user-item relation via hyperedge for recommender system. Neurocomputing Jingwen Wang, Yuguang Yan, Ruichu Cai, Michael K. Ng, Zhifeng Hao
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`	Temporal Recommendation Based on Adaptive Deep Matrix Factorization. IEEE Trans. Big Data Yali Feng, Zhifeng Hao, Wen Wen, 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
2026	J	`jnl`	Track-SQL: Enhancing Generative Language Models with Dual-Extractive Modules for Schema and Context Tracking in Multi-turn Text-to-SQL. CoRR Bingfeng Chen, Shaobin Shi, Yongqi Luo, Boyan Xu, Ruichu Cai, Zhifeng Hao
2026	J	`jnl`	Vc-flow: causal direction identification with latent variables. Int. J. Mach. Learn. Cybern. Ruichu Cai, Yaqi Dai, Peilin Zhan, Wei Chen, Zhifeng Hao
2026	J	`jnl`	What Gets Activated: Uncovering Domain and Driver Experts in MoE Language Models. CoRR Guimin Hu, Meng Li, Qiwei Peng, Lijie Hu, Boyan Xu, Ruichu Cai
2025	J	`jnl`	A Survey on Causal Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Yan Zeng, Ruichu Cai, Fuchun Sun, Libo Huang, Zhifeng Hao
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	B	`conf`	Balanced Learning for Incremental Multi-view Clustering. PRICAI Lijuan Wang, Feng Chen, Ming Yin, Zhifeng Hao, Ruichu Cai, Wei Chen, Xuan Xiong
2025	B	`conf`	CACA: Context-Aware Cross-Attention Network for Extractive Aspect Sentiment Quad Prediction. COLING Bingfeng Chen, Haoran Xu, Yongqi Luo, Boyan Xu, Ruichu Cai, Zhifeng Hao
2025	J	`jnl`	CAMA: Enhancing Mathematical Reasoning in Large Language Models with Causal Knowledge. CoRR Lei Zan, Keli Zhang, Ruichu Cai, Lujia Pan
2025	J	`jnl`	Causal Effect Estimation under Networked Interference without Networked Unconfoundedness Assumption. CoRR Wei Chen, Ruichu Cai, Jie Qiao, Yuguang Yan, José Miguel Hernández-Lobato
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	A*	`conf`	Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting. IJCAI Wei Chen, Jiahao Zhang, Haipeng Zhu, Boyan Xu, Zhifeng Hao, Keli Zhang, Junjian Ye, Ruichu Cai
2025	J	`jnl`	Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting. CoRR Wei Chen, Jiahao Zhang, Haipeng Zhu, Boyan Xu, Zhifeng Hao, Keli Zhang, Junjian Ye, Ruichu Cai
2025	A*	`conf`	Chat2DB: Chatting to the Database with Interactive Agent Assisted Language Models. ICDE Boyan Xu, Yuyuan Cai, Shaobin Shi, Zhifeng Hao, Ruichu Cai
2025	B	`conf`	Cross-Network Relationship Learning via Optimal Transport for Link Prediction. IJCNN Zhifeng Hao, Zihan Chen, Zhiwei Chen, Yuguang Yan, Ruichu Cai
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	B	`conf`	Dr.ECI: Infusing Large Language Models with Causal Knowledge for Decomposed Reasoning in Event Causality Identification. COLING Ruichu Cai, Shengyin Yu, Jiahao Zhang, Wei Chen, Boyan Xu, Keli Zhang
2025	J	`jnl`	Dual-Contrastive Multiview Graph Attention Network for Industrial Fault Diagnosis Under Domain and Label Shift. IEEE Trans. Instrum. Meas. Jian Zhu, Shuliu Wu, Yutang Xiao, Boyu Wang, Ruichu Cai
2025	A*	`conf`	EVA-MVC: Equitable View-weight Allocation for Generic Multi-View Clustering. WWW Yuan Fang, Xiaofeng Feng, Geping Yang, Ruichu Cai, Yiyang Yang, Zhiguo Gong, Zhifeng Hao
2025	J	`jnl`	Efficient Mining of Low-Utility Sequential Patterns. CoRR Jian Zhu, Zhidong Lin, Wensheng Gan, Ruichu Cai, Zhifeng Hao, Philip S. Yu
2025	J	`jnl`	GNNSynergy: A Multi-View Graph Neural Network for Predicting Anti-Cancer Drug Synergy. IEEE Trans. Comput. Biol. Bioinform. Zhifeng Hao, Jianming Zhan, Yuan Fang, Min Wu, Ruichu Cai
2025	A*	`conf`	GenLink: Generation-Driven Schema-Linking via Multi-Model Learning for Text-to-SQL. EMNLP Zhifeng Hao, Junqi Huang, Shaobin Shi, Ruichu Cai, Boyan Xu
2025	—	`conf`	Handling Missing Entities in Zero-Shot Named Entity Recognition: Integrated Recall and Retrieval Augmentation. NAACL (Long Papers) Ruichu Cai, Junhao Lu, Zhongjie Chen, Boyan Xu, Zhifeng Hao
2025	B	`conf`	High-Order Information Embedding Transfer for Clustering with Constrained Laplacian Rank. PRICAI Lijuan Wang, Wenping Xiong, Guangdong Sun, Ming Yin, Zhifeng Hao, Ruichu Cai, Wei Chen, Minghua Zhao
2025	J	`jnl`	Horizontal and Vertical Federated Causal Structure Learning via Higher-order Cumulants. CoRR Weilin Chen, Wanyang Gu, Linjun Peng, Ruichu Cai, Zhifeng Hao, Kun Zhang
2025	A*	`conf`	Hypergraph Learning for Unsupervised Graph Alignment via Optimal Transport. AAAI Yuguang Yan, Canlin Yang, Yuanlin Chen, Ruichu Cai, Michael Ng
2025	J	`jnl`	Identification of Causal Direction under an Arbitrary Number of Latent Confounders. CoRR Wei Chen, Linjun Peng, Zhiyi Huang, Haoyue Dai, Zhifeng Hao, Ruichu Cai, Kun Zhang
2025	A*	`conf`	Identification of Latent Confounders via Investigating the Tensor Ranks of the Nonlinear Observations. ICML Zhengming Chen, Yewei Xia, Feng Xie, Jie Qiao, Zhifeng Hao, Ruichu Cai, 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	—	`conf`	Improving Cognitive Decline Prediction in Alzheimer's Disease via a Novel Biomarker with Causal Interpretability. BIBM Wei Chen, Qian Huang, Zezhen Ding, Jiongjia Li, Xuexin Chen, Ruichu Cai
2025	—	`conf`	Integrating Multi-modal Contrastive Learning and Multi-scale Feature Extractor for Liver Cancer Classification. ICSI (2) Hongkun Chen, Ruichu Cai, Ranmin Wang, Boyan Xu, Yuguang Yan
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	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	J	`jnl`	Lightweight image super-resolution via an efficient local-global transformer network with adaptive attention windows. Vis. Comput. Jian Zhu, Simin Zheng, Peiyao Chen, Min Li, Jianfang Hu, 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	J	`jnl`	Long-term Causal Inference via Modeling Sequential Latent Confounding. CoRR Weilin Chen, Ruichu Cai, Yuguang Yan, Zhifeng Hao, José Miguel Hernández-Lobato
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	J	`jnl`	MSC-DOLES: Multi-View Subspace Clustering in Diverse Orthogonal Latent Embedding Spaces. IEEE Trans. Knowl. Data Eng. Yuan Fang, Geping Yang, Ruichu Cai, Yiyang Yang, Zhiguo Gong, Can Chen, Zhifeng Hao
2025	B	`conf`	Mitigating Q-Value Overestimation through Latent Causal Modeling in Deep Reinforcement Learning. IJCNN Ruichu Cai, Fuyi Lin, Wei Chen, Jie Qiao, Haipeng Zhu, Zhifeng Hao
2025	J	`jnl`	Modeling Multi-Seasonal Multi-Behavior Dependency for Temporal Recommendation. ACM Trans. Intell. Syst. Technol. Shichao Liang, Wen Wen, Yali Feng, Ruichu Cai, Zhifeng Hao
2025	J	`jnl`	Nonparametric Heterogeneous Long-term Causal Effect Estimation via Data Combination. CoRR Weilin Chen, Ruichu Cai, Junjie Wan, Zeqin Yang, José Miguel Hernández-Lobato
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`	On the Role of Entropy-Based Loss for Learning Causal Structure With Continuous Optimization. IEEE Trans. Neural Networks Learn. Syst. Weilin Chen, Jie Qiao, Ruichu Cai, Zhifeng Hao
2025	J	`jnl`	On the probability of necessity and sufficiency of explaining Graph Neural Networks: A lower bound optimization approach. Neural Networks Ruichu Cai, Yuxuan Zhu, Xuexin Chen, Yuan Fang, Min Wu, Jie Qiao, Zhifeng Hao
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	B	`conf`	PEFT Innovations in Text-to-SQL: Adapter and Prefix Tuning Methods with Structural Awareness. IJCNN Zhifeng Hao, Yuyuan Cai, Shaobin Shi, Boyan Xu, Ruichu Cai
2025	C	`conf`	Rank Constraints of High-Order Cumulants for Learning Linear Non-Gaussian Latent Polytree. CSCWD Ruichu Cai, Ying Shen, Zhengming Chen, Feng Xie, Yu Xiang, Zhifeng Hao
2025	A*	`conf`	Reducing Confounding Bias without Data Splitting for Causal Inference via Optimal Transport. ICML Yuguang Yan, Zongyu Li, Haolin Yang, Zeqin Yang, Hao Zhou, Ruichu Cai, Zhifeng Hao
2025	A	`conf`	Robust Policy Learning for Multi-UAV Collision Avoidance with Causal Feature Selection. AAMAS Jiafan Zhuang, Gaofei Han, Zihao Xia, Che Lin, Boxi Wang, Dongliang Wang, Wenji Li, Zhifeng Hao, Ruichu Cai, Zhun Fan
2025	B	`conf`	SDFDA: Modeling Spectral Distribution for Time-Series Forecasting Domain Adaptation. IJCNN Daoxin Chen, Ruichu Cai, Haozhi Chen, Zhenhui Yang
2025	J	`jnl`	SDGNN: Structure-aware Dual Graph Neural Network for Code Summarization. Int. J. Mach. Learn. Cybern. Zhifeng Hao, Zonghao Lin, Shengqiang Zhang, Boyan Xu, Ruichu Cai
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`	Testing Conditional Independence Between Latent Variables by Independence Residuals. IEEE Trans. Neural Networks Learn. Syst. Zhengming Chen, Jie Qiao, Feng Xie, Ruichu Cai, Zhifeng Hao, Keli Zhang
2025	J	`jnl`	Text-to-SQL as Dual-State Reasoning: Integrating Adaptive Context and Progressive Generation. CoRR Zhifeng Hao, Qibin Song, Ruichu Cai, Boyan Xu
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`	Time-aware tensor factorization for temporal recommendation. Appl. Intell. Yali Feng, Wen Wen, Zhifeng Hao, Ruichu Cai
2025	J	`jnl`	Toward Targeted Mining of RFM Patterns. IEEE Trans. Neural Networks Learn. Syst. Xiaoye Chen, Wensheng Gan, Zefeng Chen, Jian Zhu, Ruichu Cai, Philip S. Yu
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	—	`conf`	Track-SQL: Enhancing Generative Language Models with Dual-Extractive Modules for Schema and Context Tracking in Multi-turn Text-to-SQL. NAACL (Long Papers) Bingfeng Chen, Shaobin Shi, Yongqi Luo, Boyan Xu, Ruichu Cai, Zhifeng Hao
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
2025	—	`conf`	\mathcalS²IT: Stepwise Syntax Integration Tuning for Large Language Models in Aspect Sentiment Quad Prediction. NAACL (Findings) Bingfeng Chen, Chenjie Qiu, Yifeng Xie, Boyan Xu, Ruichu Cai, Zhifeng Hao
2024	A*	`conf`	An Optimal Transport View for Subspace Clustering and Spectral Clustering. AAAI Yuguang Yan, Zhihao Xu, Canlin Yang, Jie Zhang, Ruichu Cai, Michael Kwok-Po Ng
2024	A*	`conf`	Automating the Selection of Proxy Variables of Unmeasured Confounders. ICML Feng Xie, Zhengming Chen, Shanshan Luo, Wang Miao, Ruichu Cai, Zhi Geng
2024	J	`jnl`	Automating the Selection of Proxy Variables of Unmeasured Confounders. CoRR Feng Xie, Zhengming Chen, Shanshan Luo, Wang Miao, Ruichu Cai, Zhi Geng
2024	J	`jnl`	Block diagonal representation learning with local invariance for face clustering. Soft Comput. Lijuan Wang, Shaomin Chen, Ming Yin, Zhifeng Hao, Ruichu Cai
2024	A*	`conf`	Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis. AAAI Jie Qiao, Yu Xiang, Zhengming Chen, Ruichu Cai, Zhifeng Hao
2024	J	`jnl`	Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis. CoRR Jie Qiao, Yu Xiang, Zhengming Chen, Ruichu Cai, Zhifeng Hao
2024	J	`jnl`	Causal-learn: Causal Discovery in Python. J. Mach. Learn. Res. Yujia Zheng, Biwei Huang, Wei Chen, Joseph D. Ramsey, Mingming Gong, Ruichu Cai, Shohei Shimizu, Peter Spirtes, Kun Zhang
2024	J	`jnl`	Collision Avoidance for Multiple UAVs in Unknown Scenarios with Causal Representation Disentanglement. CoRR Jiafan Zhuang, Zihao Xia, Gaofei Han, Boxi Wang, Wenji Li, Dongliang Wang, Zhifeng Hao, Ruichu Cai, Zhun Fan
2024	A*	`conf`	Combinatorial Routing for Neural Trees. IJCAI Jiahao Li, Ruichu Cai, Yuguang Yan
2024	J	`jnl`	Counterfactual contextual bandit for recommendation under delayed feedback. Neural Comput. Appl. Ruichu Cai, Ruming Lu, Wei Chen, Zhifeng Hao
2024	J	`jnl`	Cross-KG Link Prediction by Learning Substructural Semantics. Neural Process. Lett. Wen Wen, Shiyuan Wu, Ruichu Cai, Zhifeng Hao
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	J	`jnl`	Estimating Long-term Heterogeneous Dose-response Curve: Generalization Bound Leveraging Optimal Transport Weights. CoRR Zeqin Yang, Weilin Chen, Ruichu Cai, Yuguang Yan, Zhifeng Hao, Zhipeng Yu, Zhichao Zou, Zhen Peng, Jiecheng Guo
2024	A*	`conf`	Exploiting Geometry for Treatment Effect Estimation via Optimal Transport. AAAI Yuguang Yan, Zeqin Yang, Weilin Chen, Ruichu Cai, Zhifeng Hao, Michael Kwok-Po Ng
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	—	`conf`	From Large to Tiny: Distilling and Refining Mathematical Expertise for Math Word Problems with Weakly Supervision. ICIC (LNAI 6) Qingwen Lin, Boyan Xu, Zhengting Huang, Ruichu Cai
2024	J	`jnl`	From Large to Tiny: Distilling and Refining Mathematical Expertise for Math Word Problems with Weakly Supervision. CoRR Qingwen Lin, Boyan Xu, Zhengting Huang, Ruichu Cai
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`	Generalized Independent Noise Condition for Estimating Causal Structure with Latent Variables. J. Mach. Learn. Res. Feng Xie, Biwei Huang, Zhengming Chen, Ruichu Cai, Clark Glymour, Zhi Geng, Kun Zhang
2024	J	`jnl`	Granger causal representation learning for groups of time series. Sci. China Inf. Sci. Ruichu Cai, Yunjin Wu, Xiaokai Huang, Wei Chen, Tom Z. J. Fu, Zhifeng Hao
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	A*	`conf`	Hypergraph Joint Representation Learning for Hypervertices and Hyperedges via Cross Expansion. AAAI Yuguang Yan, Yuanlin Chen, Shibo Wang, Hanrui Wu, Ruichu Cai
2024	A*	`conf`	Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model. AAAI Jie Qiao, Zhengming Chen, Jianhua Yu, Ruichu Cai, Zhifeng Hao
2024	A*	`conf`	Identification of Causal Structure with Latent Variables Based on Higher Order Cumulants. AAAI Wei Chen, Zhiyi Huang, Ruichu Cai, Zhifeng Hao, Kun Zhang
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`	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`	Learning by Doing: An Online Causal Reinforcement Learning Framework with Causal-Aware Policy. CoRR Ruichu Cai, Siyang Huang, Jie Qiao, Wei Chen, Yan Zeng, Keli Zhang, Fuchun Sun, Yang Yu, Zhifeng Hao
2024	J	`jnl`	Long-term causal effects estimation via latent surrogates representation learning. Neural Networks Ruichu Cai, Weilin Chen, Zeqin Yang, Shu Wan, Chen Zheng, Xiaoqing Yang, Jiecheng Guo
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	A*	`conf`	On the Identifiability of Poisson Branching Structural Causal Model Using Probability Generating Function. NeurIPS Yu Xiang, Jie Qiao, Zefeng Liang, Zihuai Zeng, Ruichu Cai, 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`	PatchMixing Masked Autoencoders for 3D Point Cloud Self-Supervised Learning. IEEE Trans. Circuits Syst. Video Technol. Chengxing Lin, Wenju Xu, Jian Zhu, Yongwei Nie, Ruichu Cai, Xuemiao Xu
2024	J	`jnl`	Recent Trends of Multimodal Affective Computing: A Survey from NLP Perspective. CoRR Guimin Hu, Yi Xin, Weimin Lyu, Haojian Huang, Chang Sun, Zhihong Zhu, Lin Gui, Ruichu Cai
2024	A*	`conf`	Reducing Balancing Error for Causal Inference via Optimal Transport. ICML Yuguang Yan, Hao Zhou, Zeqin Yang, Weilin Chen, Ruichu Cai, Zhifeng Hao
2024	J	`jnl`	Robust Policy Learning for Multi-UAV Collision Avoidance with Causal Feature Selection. CoRR Jiafan Zhuang, Gaofei Han, Zihao Xia, Boxi Wang, Wenji Li, Dongliang Wang, Zhifeng Hao, Ruichu Cai, Zhun Fan
2024	J	`jnl`	S CoRR Bingfeng Chen, Qihan Ouyang, Yongqi Luo, Boyan Xu, Ruichu Cai, Zhifeng Hao
2024	—	`conf`	S²GSL: Incorporating Segment to Syntactic Enhanced Graph Structure Learning for Aspect-based Sentiment Analysis. ACL (1) Bingfeng Chen, Qihan Ouyang, Yongqi Luo, Boyan Xu, Ruichu Cai, Zhifeng Hao
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	J	`jnl`	THPs: Topological Hawkes Processes for Learning Causal Structure on Event Sequences. IEEE Trans. Neural Networks Learn. Syst. Ruichu Cai, Siyu Wu, Jie Qiao, Zhifeng Hao, Keli Zhang, Xi Zhang
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`	TP-UNet: Temporal Prompt Guided UNet for Medical Image Segmentation. CoRR Ranmin Wang, Limin Zhuang, Hongkun Chen, Boyan Xu, Ruichu Cai
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
2024	A*	`conf`	Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples. AAAI Ruichu Cai, Yuxuan Zhu, Jie Qiao, Zefeng Liang, Furui Liu, Zhifeng Hao
2023	J	`jnl`	A Survey on Causal Reinforcement Learning. CoRR Yan Zeng, Ruichu Cai, Fuchun Sun, Libo Huang, Zhifeng Hao
2023	J	`jnl`	A selection-pattern-aware recommendation model with colored-motif attention network. Neurocomputing Zhifeng Hao, Junbin Chen, Wen Wen, Biao Wu, Ruichu Cai
2023	A*	`conf`	Causal Discovery with Latent Confounders Based on Higher-Order Cumulants. ICML Ruichu Cai, Zhiyi Huang, Wei Chen, Zhifeng Hao, Kun Zhang
2023	J	`jnl`	Causal Discovery with Latent Confounders Based on Higher-Order Cumulants. CoRR Ruichu Cai, Zhiyi Huang, Wei Chen, Zhifeng Hao, Kun Zhang
2023	J	`jnl`	Causal-learn: Causal Discovery in Python. CoRR Yujia Zheng, Biwei Huang, Wei Chen, Joseph D. Ramsey, Mingming Gong, Ruichu Cai, Shohei Shimizu, Peter Spirtes, Kun Zhang
2023	J	`jnl`	FFFN: Frame-By-Frame Feedback Fusion Network for Video Super-Resolution. IEEE Trans. Multim. Jian Zhu, Qingwu Zhang, Lunke Fei, Ruichu Cai, Yuan Xie, Bin Sheng, Xiaokang Yang
2023	J	`jnl`	Factorizing time-heterogeneous Markov transition for temporal recommendation. Neural Networks Wen Wen, Wencui Wang, Zhifeng Hao, Ruichu Cai
2023	A	`conf`	Generalization Bound for Estimating Causal Effects from Observational Network Data. CIKM Ruichu Cai, Zeqin Yang, Weilin Chen, Yuguang Yan, Zhifeng Hao
2023	J	`jnl`	Generalization bound for estimating causal effects from observational network data. CoRR Ruichu Cai, Zeqin Yang, Weilin Chen, Yuguang Yan, Zhifeng Hao
2023	J	`jnl`	Generalized Independent Noise Condition for Estimating Causal Structure with Latent Variables. CoRR Feng Xie, Biwei Huang, Zhengming Chen, Ruichu Cai, Clark Glymour, Zhi Geng, Kun Zhang
2023	J	`jnl`	Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model. CoRR Jie Qiao, Zhengming Chen, Jianhua Yu, Ruichu Cai, Zhifeng Hao
2023	J	`jnl`	Identification of Causal Structure with Latent Variables Based on Higher Order Cumulants. CoRR Wei Chen, Zhiyi Huang, Ruichu Cai, 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	—	`conf`	Latent Causal Dynamics Model for Model-Based Reinforcement Learning. ICONIP (2) Zhifeng Hao, Haipeng Zhu, Wei Chen, Ruichu Cai
2023	J	`jnl`	Learning dynamic causal mechanisms from non-stationary data. Appl. Intell. Ruichu Cai, Liting Huang, Wei Chen, Jie Qiao, Zhifeng Hao
2023	J	`jnl`	Multi-task ordinal regression with labeled and unlabeled data. Inf. Sci. Yanshan Xiao, Liangwang Zhang, Bo Liu, Ruichu Cai, Zhifeng Hao
2023	J	`jnl`	Nonlinear Causal Discovery for High-Dimensional Deterministic Data. IEEE Trans. Neural Networks Learn. Syst. Yan Zeng, Zhifeng Hao, Ruichu Cai, Feng Xie, Libo Huang, Shohei Shimizu
2023	A*	`conf`	Some General Identification Results for Linear Latent Hierarchical Causal Structure. IJCAI Zhengming Chen, Feng Xie, Jie Qiao, Zhifeng Hao, Ruichu Cai
2023	A*	`conf`	Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences. IJCAI Jie Qiao, Ruichu Cai, Siyu Wu, Yu Xiang, Keli Zhang, Zhifeng Hao
2023	J	`jnl`	Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences. CoRR Jie Qiao, Ruichu Cai, Siyu Wu, Yu Xiang, Keli Zhang, Zhifeng Hao
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
2023	J	`jnl`	Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples. CoRR Ruichu Cai, Yuxuan Zhu, Jie Qiao, Zefeng Liang, Furui Liu, Zhifeng Hao
2022	Misc	`conf`	Causal Alignment Based Fault Root Causes Localization for Wireless Network. ICASSP Yuequn Liu, Wenhui Zhu, Jie Qiao, Zhiyi Huang, Yu Xiang, Xuanzhi Chen, Wei Chen, Ruichu Cai
2022	J	`jnl`	Causal Discovery in Linear Non-Gaussian Acyclic Model With Multiple Latent Confounders. IEEE Trans. Neural Networks Learn. Syst. Wei Chen, Ruichu Cai, Kun Zhang, Zhifeng Hao
2022	J	`jnl`	Causal discovery from multi-domain data using the independence of modularities. Neural Comput. Appl. Jie Qiao, Yiming Bai, Ruichu Cai, Zhifeng Hao
2022	J	`jnl`	Double embedding-transfer-based multi-view spectral clustering. Expert Syst. Appl. Lijuan Wang, Lin Zhang, Ming Yin, Zhifeng Hao, Ruichu Cai, Wen Wen
2022	A*	`conf`	Identification of Linear Latent Variable Model with Arbitrary Distribution. AAAI Zhengming Chen, Feng Xie, Jie Qiao, Zhifeng Hao, Kun Zhang, Ruichu Cai
2022	J	`jnl`	Learning granger causality for non-stationary Hawkes processes. Neurocomputing Wei Chen, Jibin Chen, Ruichu Cai, Yuequn Liu, Zhifeng Hao
2022	J	`jnl`	Long-term Causal Effects Estimation via Latent Surrogates Representation Learning. CoRR Ruichu Cai, Weilin Chen, Zeqin Yang, Shu Wan, Chen Zheng, Xiaoqing Yang, Jiecheng Guo
2022	J	`jnl`	Motif-based memory networks for complex-factoid question answering. Neurocomputing Zhifeng Hao, Junhao Chen, Wen Wen, Biao Wu, Ruichu Cai
2022	J	`jnl`	On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach. CoRR Ruichu Cai, Yuxuan Zhu, Xuexin Chen, Yuan Fang, Min Wu, Jie Qiao, 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`	Shared state space model for background information extraction and time series prediction. Neurocomputing Ruichu Cai, Zhaolong Lin, Wei Chen, Zhifeng Hao
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`	Appearance-Motion Memory Consistency Network for Video Anomaly Detection. AAAI Ruichu Cai, Hao Zhang, Wen Liu, Shenghua Gao, Zhifeng Hao
2021	J	`jnl`	CCSL: A Causal Structure Learning Method from Multiple Unknown Environments. CoRR Wei Chen, Yunjin Wu, Ruichu Cai, Yueguo Chen, Zhifeng Hao
2021	J	`jnl`	Causal Discovery with Confounding Cascade Nonlinear Additive Noise Models. ACM Trans. Intell. Syst. Technol. Jie Qiao, Ruichu Cai, Kun Zhang, Zhenjie Zhang, Zhifeng Hao
2021	—	`conf`	Causal Discovery with Multi-Domain LiNGAM for Latent Factors. CAWS Yan Zeng, Shohei Shimizu, Ruichu Cai, Feng Xie, Michio Yamamoto, Zhifeng Hao
2021	A*	`conf`	Causal Discovery with Multi-Domain LiNGAM for Latent Factors. IJCAI Yan Zeng, Shohei Shimizu, Ruichu Cai, Feng Xie, Michio Yamamoto, Zhifeng Hao
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	J	`jnl`	Compensating the vorticity loss during advection with an adaptive vorticity confinement force. Comput. Animat. Virtual Worlds Jian Zhu, Silong Li, Ruichu Cai, Zhifeng Hao, Guoheng Huang, Bin Sheng, Enhua Wu
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`	FRITL: A Hybrid Method for Causal Discovery in the Presence of Latent Confounders. CoRR Wei Chen, Kun Zhang, Ruichu Cai, Biwei Huang, Joseph D. Ramsey, Zhifeng Hao, Clark Glymour
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`	Investigating the interpretability of fetal status assessment using antepartum cardiotocographic records. BMC Medical Informatics Decis. Mak. Liting Huang, Zhiying Jiang, Ruichu Cai, Li Li, Qinqun Chen, Jiaming Hong, Zhifeng Hao, Hang Wei
2021	J	`jnl`	Learning causal structures using hidden compact representation. Neurocomputing Jie Qiao, Yiming Bai, Ruichu Cai, Zhifeng Hao
2021	J	`jnl`	Motif Graph Neural Network. CoRR Xuexin Chen, Ruichu Cai, Yuan Fang, Min Wu, Zijian Li, Zhifeng Hao
2021	J	`jnl`	On the Role of Entropy-based Loss for Learning Causal Structures with Continuous Optimization. CoRR Ruichu Cai, Weilin Chen, Jie Qiao, Zhifeng Hao
2021	J	`jnl`	Prediction of Synthetic Lethal Interactions in Human Cancers Using Multi-View Graph Auto-Encoder. IEEE J. Biomed. Health Informatics Zhifeng Hao, Di Wu, Yuan Fang, Min Wu, Ruichu Cai, Xiaoli Li
2021	A*	`conf`	SADGA: Structure-Aware Dual Graph Aggregation Network for Text-to-SQL. NeurIPS Ruichu Cai, Jinjie Yuan, Boyan Xu, Zhifeng Hao
2021	J	`jnl`	SADGA: Structure-Aware Dual Graph Aggregation Network for Text-to-SQL. CoRR Ruichu Cai, Jinjie Yuan, Boyan Xu, 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	J	`jnl`	THP: Topological Hawkes Processes for Learning Granger Causality on Event Sequences. CoRR Ruichu Cai, Siyu Wu, Jie Qiao, Zhifeng Hao, Keli Zhang, Xi Zhang
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`	A causal discovery algorithm based on the prior selection of leaf nodes. Neural Networks Yan Zeng, Zhifeng Hao, Ruichu Cai, Feng Xie, Liang Ou, Ruihui Huang
2020	J	`jnl`	An Efficient Entropy-Based Causal Discovery Method for Linear Structural Equation Models With IID Noise Variables. IEEE Trans. Neural Networks Learn. Syst. Feng Xie, Ruichu Cai, Yan Zeng, Jiantao Gao, Zhifeng Hao
2020	J	`jnl`	Animating turbulent fluid with a robust and efficient high-order advection method. Comput. Animat. Virtual Worlds Jian Zhu, Silong Li, Ruichu Cai, Zhifeng Hao, Guoheng Huang, Bin Sheng, Enhua Wu
2020	J	`jnl`	Block diagonal representation learning for robust subspace clustering. Inf. Sci. Lijuan Wang, Jiawen Huang, Ming Yin, Ruichu Cai, Zhifeng Hao
2020	J	`jnl`	Causal Discovery with Multi-Domain LiNGAM for Latent Factors. CoRR Yan Zeng, Shohei Shimizu, Ruichu Cai, Feng Xie, Michio Yamamoto, Zhifeng Hao
2020	J	`jnl`	DACH: Domain Adaptation Without Domain Information. IEEE Trans. Neural Networks Learn. Syst. Ruichu Cai, Jiahao Li, Zhenjie Zhang, Xiaoyan Yang, Zhifeng Hao
2020	—	`conf`	DRS+: Load Shedding Meets Resource Auto-Scaling in Distributed Stream Processing. HPCC/DSS/SmartCity Kailin Tang, Zhifeng Hao, Ruichu Cai, Tom Z. J. Fu, Yin Yang, Li Wang, Marianne Winslett, Zhenjie Zhang
2020	J	`jnl`	Detail-preserving smoke simulation using an efficient high-order numerical scheme. Sci. China Inf. Sci. Jian Zhu, Zhuo Yang, Hanqiu Sun, Enhua Wu, Ruichu Cai, Zhifeng Hao
2020	J	`jnl`	Dual-dropout graph convolutional network for predicting synthetic lethality in human cancers. Bioinform. Ruichu Cai, Xuexin Chen, Yuan Fang, Min Wu, Yuexing Hao, Jonathan D. Wren
2020	J	`jnl`	FOM: Fourth-order moment based causal direction identification on the heteroscedastic data. Neural Networks Ruichu Cai, Jincheng Ye, Jie Qiao, Huiyuan Fu, Zhifeng Hao
2020	A*	`conf`	Generalized Independent Noise Condition for Estimating Latent Variable Causal Graphs. NeurIPS Feng Xie, Ruichu Cai, Biwei Huang, Clark Glymour, Zhifeng Hao, Kun Zhang
2020	J	`jnl`	Generalized Independent Noise Condition for Estimating Linear Non-Gaussian Latent Variable Graphs. CoRR Feng Xie, Ruichu Cai, Biwei Huang, Clark Glymour, Zhifeng Hao, 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	A	`conf`	Meta Multi-Task Learning for Speech Emotion Recognition. INTERSPEECH Ruichu Cai, Kaibin Guo, Boyan Xu, Xiaoyan Yang, Zhenjie Zhang
2020	J	`jnl`	Mining hidden non-redundant causal relationships in online social networks. Neural Comput. Appl. Wei Chen, Ruichu Cai, Zhifeng Hao, Chang Yuan, Feng Xie
2020	J	`jnl`	Multi-context aware user-item embedding for recommendation. Neural Networks Biao Wu, Wen Wen, Zhifeng Hao, Ruichu Cai
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`	A subgraph-representation-based method for answering complex questions over knowledge bases. Neural Networks Zhifeng Hao, Biao Wu, Wen Wen, Ruichu Cai
2019	J	`jnl`	Auto-scaling for real-time stream analytics on HPC cloud. Serv. Oriented Comput. Appl. Yingchao Cheng, Zhifeng Hao, Ruichu Cai
2019	—	`conf`	Causal Discovery of Linear Non-Gaussian Acyclic Model with Small Samples. IScIDE (2) Feng Xie, Ruichu Cai, Yan Zeng, Zhifeng Hao
2019	A*	`conf`	Causal Discovery with Cascade Nonlinear Additive Noise Model. IJCAI Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao
2019	J	`jnl`	Causal Discovery with Cascade Nonlinear Additive Noise Models. CoRR Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao
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	J	`jnl`	Embedding Logic Rules Into Recurrent Neural Networks. IEEE Access Bingfeng Chen, Zhifeng Hao, Xiaofeng Cai, Ruichu Cai, Wen Wen, Jian Zhu, Guangqiang Xie
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
2019	A*	`conf`	Triad Constraints for Learning Causal Structure of Latent Variables. NeurIPS Ruichu Cai, Feng Xie, Clark Glymour, Zhifeng Hao, Kun Zhang
2019	J	`jnl`	基于嵌入学习的用户动态偏好预测 (Predicting User's Dynamic Preference Based on Embedding Learning). 计算机科学 Wen Wen, Zetian Lin, Ruichu Cai, Zhifeng Hao, Lijuan Wang
2018	J	`jnl`	A component-driven distributed framework for real-time video dehazing. Multim. Tools Appl. Meihua Wang, Jiaming Mai, Yun Liang, Ruichu Cai, Tom Zhengjia Fu, Zhenjie Zhang
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
2018	A*	`conf`	Causal Discovery from Discrete Data using Hidden Compact Representation. NeurIPS Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao
2018	—	`conf`	Generating Natural Answers on Knowledge Bases and Text by Sequence-to-Sequence Learning. ICANN (1) Zhihao Ye, Ruichu Cai, Zhaohui Liao, Zhifeng Hao, Jinfen Li
2018	—	`conf`	HASS: High Accuracy Spike Sorting with Wavelet Package Decomposition and Mutual Information. BIBM Yao Chen, Libo Huang, Jiong He, Kunyao Zhao, Ruichu Cai, Zhifeng Hao
2018	A	`conf`	HPC2-ARS: An Architecture for Real-Time Analytic of Big Data Streams. ICWS Yingchao Cheng, Zhifeng Hao, Ruichu Cai, Wen Wen
2018	—	`conf`	Identification of Causality Among Gene Mutations Through Local Causal Association Rule Discovery. ICONIP (7) Ruichu Cai, Qiqi Zhen, Zhifeng Hao
2018	—	`conf`	Resource-Aware Stream Processing in High Performance Cloud Environment. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI Yingchao Cheng, Zhifeng Hao, Ruichu Cai, Wen Wen, Lijuan Wang, Zhongrun Zhou
2018	A*	`conf`	SELF: Structural Equational Likelihood Framework for Causal Discovery. AAAI Ruichu Cai, Jie Qiao, Zhenjie Zhang, Zhifeng Hao
2018	J	`jnl`	Single image deraining using deep convolutional networks. Multim. Tools Appl. Meihua Wang, Jiaming Mai, Ruichu Cai, Yun Liang, Hua Wan
2018	J	`jnl`	Sophisticated Merging Over Random Partitions: A Scalable and Robust Causal Discovery Approach. IEEE Trans. Neural Networks Learn. Syst. Ruichu Cai, Zhenjie Zhang, Zhifeng Hao, Marianne Winslett
2018	J	`jnl`	Synthetic fluid details for the vorticity loss in advection. Comput. Animat. Virtual Worlds Jian Zhu, Yu Luo, Xiaohua Ren, Ruichu Cai, Zhifeng Hao, Hanqiu Sun, Enhua Wu
2018	A*	`conf`	Waterwheel: Realtime Indexing and Temporal Range Query Processing over Massive Data Streams. ICDE Li Wang, Ruichu Cai, Tom Z. J. Fu, Jiong He, Zijie Lu, Marianne Winslett, Zhenjie Zhang
2018	J	`jnl`	基于多视角多标签学习的读者情绪分类 (Emotion Classification for Readers Based on Multi-view Multi-label Learning). 计算机科学 Wen Wen, Ying Chen, Ruichu Cai, Zhifeng Hao, Lijuan Wang
2017	—	`conf`	A Dynamic Conditional Random Field Based Framework for Sentence-Level Sentiment Analysis of Chinese Microblog. CSE/EUC (1) Zhifeng Hao, Ruichu Cai, Yiyang Yang, Wen Wen, Lixin Liang
2017	A*	`conf`	A Robust Noise Resistant Algorithm for POI Identification from Flickr Data. IJCAI Yiyang Yang, Zhiguo Gong, Qing Li, Leong Hou U, Ruichu Cai, Zhifeng Hao
2017	—	`conf`	An CNN-LSTM Attention Approach to Understanding User Query Intent from Online Health Communities. ICDM Workshops Ruichu Cai, Binjun Zhu, Lei Ji, Tianyong Hao, Jun Yan, Wenyin Liu
2017	J	`jnl`	An Encoder-Decoder Framework Translating Natural Language to Database Queries. CoRR Ruichu Cai, Boyan Xu, Xiaoyan Yang, Zhenjie Zhang, Zijian Li
2017	B	`conf`	An efficient kurtosis-based causal discovery method for linear non-Gaussian acyclic data. IWQoS Ruichu Cai, Feng Xie, Wei Chen, Zhifeng Hao
2017	—	`conf`	Component-Based Distributed Framework for Coherent and Real-Time Video Dehazing. CSE/EUC (1) Meihua Wang, Jiaming Mai, Yun Liang, Ruichu Cai, Tom Zhengjia, Zhenjie Zhang
2017	J	`jnl`	DITIR: Distributed Index for High Throughput Trajectory Insertion and Real-time Temporal Range Query. Proc. VLDB Endow. Ruichu Cai, Zijie Lu, Li Wang, Zhenjie Zhang, Tom Z. J. Fu, Marianne Winslett
2017	J	`jnl`	Identification of adverse drug-drug interactions through causal association rule discovery from spontaneous adverse event reports. Artif. Intell. Medicine Ruichu Cai, Mei Liu, Yong Hu, Brittany Melton, Michael E. Matheny, Hua Xu, Lian Duan, Lemuel R. Waitman
2017	J	`jnl`	Recognizing activities from partially observed streams using posterior regularized conditional random fields. Neurocomputing Wen Wen, Ruichu Cai, Zhifeng Hao, Xiaowei Yang, Yang Li
2017	J	`jnl`	SADA: A General Framework to Support Robust Causation Discovery with Theoretical Guarantee. CoRR Ruichu Cai, Zhenjie Zhang, Zhifeng Hao
2017	J	`jnl`	SBV: 基于SVG的生物信息可视化软件 (SBV: A Bioinformatics Visualization Software Based on SVG). 计算机科学 Ruichu Cai, Yinxian Lin, Peng Ai
2017	J	`jnl`	Understanding Social Causalities Behind Human Action Sequences. IEEE Trans. Neural Networks Learn. Syst. Ruichu Cai, Zhenjie Zhang, Zhifeng Hao, Marianne Winslett
2016	J	`jnl`	Component-Based Distributed Framework for Coherent and Real-Time Video Dehazing. CoRR Meihua Wang, Jiaming Mai, Yun Liang, Tom Z. J. Fu, Zhenjie Zhang, Ruichu Cai
2016	A	`conf`	Multi-Domain Manifold Learning for Drug-Target Interaction Prediction. SDM Ruichu Cai, Zhenjie Zhang, Srinivasan Parthasarathy, Anthony K. H. Tung, Zhifeng Hao, Wen Zhang
2016	J	`jnl`	Multiple-cause discovery combined with structure learning for high-dimensional discrete data and application to stock prediction. Soft Comput. Weiqi Chen, Zhifeng Hao, Ruichu Cai, Xiangzhou Zhang, Yong Hu, Mei Liu
2016	—	`conf`	Sentiment Target Extraction Based on CRFs with Multi-features for Chinese Microblog. APWeb Workshops Bingfeng Chen, Zhifeng Hao, Ruichu Cai, Wen Wen, Shenzhi Du
2015	C	`conf`	A Semi-supervised Solution for Cold Start Issue on Recommender Systems. APWeb Zhifeng Hao, Yingchao Cheng, Ruichu Cai, Wen Wen, Lijuan Wang
2015	J	`jnl`	An improved clustering ensemble method based link analysis. World Wide Web Zhifeng Hao, Li-Juan Wang, Ruichu Cai, Wen Wen
2015	J	`jnl`	Causal discovery on high dimensional data. Appl. Intell. Zhifeng Hao, Hao Zhang, Ruichu Cai, Wen Wen, Zhihao Li
2015	J	`jnl`	Deterministic identification of specific individuals from GWAS results. Bioinform. Ruichu Cai, Zhifeng Hao, Marianne Winslett, Xiaokui Xiao, Yin Yang, Zhenjie Zhang, Shuigeng Zhou
2015	J	`jnl`	Enhanced soft subspace clustering through hybrid dissimilarity. J. Intell. Fuzzy Syst. Lijuan Wang, Zhifeng Hao, Ruichu Cai, Wen Wen
2015	—	`conf`	Mining the Discriminative Word Sets for Bag-of-Words Model Based on Distributional Similarity Graph. APWeb Workshops Wen Wen, Zhifeng Hao, Ruichu Cai
2015	C	`ed.`	Web Technologies and Applications - 17th Asia-PacificWeb Conference, APWeb 2015, Guangzhou, China, September 18-20, 2015, Proceedings APWeb Reynold Cheng, Bin Cui, Zhenjie Zhang, Ruichu Cai, Jia Xu
2015	—	`ed.`	Web Technologies and Applications - APWeb 2015 Workshops, BSD, WDMA, and BDAT, Guangzhou, China, September 18, 2015, Revised Selected Papers APWeb Workshops Ruichu Cai, Kang Chen, Liang Hong, Xiaoyan Yang, Rong Zhang, Lei Zou
2014	—	`conf`	A Causal Model for Disease Pathway Discovery. ICONIP (1) Ruichu Cai, Chang Yuan, Zhifeng Hao, Wen Wen, Lijuan Wang, Weiqi Chen, Zhihao Li
2014	J	`jnl`	A general framework of hierarchical clustering and its applications. Inf. Sci. Ruichu Cai, Zhenjie Zhang, Anthony K. H. Tung, Chenyun Dai, Zhifeng Hao
2014	J	`jnl`	Determining molecular predictors of adverse drug reactions with causality analysis based on structure learning. J. Am. Medical Informatics Assoc. Mei Liu, Ruichu Cai, Yong Hu, Michael E. Matheny, Jingchun Sun, Jun Hu, Hua Xu
2013	—	`conf`	A Hybrid Approach for Large Scale Causality Discovery. ICIC (3) Zhifeng Hao, Jinlong Huang, Ruichu Cai, Wen Wen
2013	Misc	`conf`	An improved local adaptive clustering ensemble based on link analysis. ICMLC Li-Juan Wang, Zhifeng Hao, Ruichu Cai, Wen Wen
2013	J	`jnl`	Causal gene identification using combinatorial V-structure search. Neural Networks Ruichu Cai, Zhenjie Zhang, Zhifeng Hao
2013	—	`conf`	Chinese Sentiment Classification Based on the Sentiment Drop Point. ICIC (3) Zhifeng Hao, Jie Cheng, Ruichu Cai, Wen Wen, Lijuan Wang
2013	J	`jnl`	Product named entity recognition for Chinese query questions based on a skip-chain CRF model. Neural Comput. Appl. Zhifeng Hao, Hongfei Wang, Ruichu Cai, Wen Wen
2013	J	`jnl`	Regularized Gaussian Mixture Model based discretization for gene expression data association mining. Appl. Intell. Ruichu Cai, Zhifeng Hao, Wen Wen, Lijuan Wang
2013	—	`conf`	SADA: A General Framework to Support Robust Causation Discovery. ICML (2) Ruichu Cai, Zhenjie Zhang, Zhifeng Hao
2013	J	`jnl`	Software project risk analysis using Bayesian networks with causality constraints. Decis. Support Syst. Yong Hu, Xiangzhou Zhang, E. W. T. Ngai, Ruichu Cai, Mei Liu
2013	J	`jnl`	Two novel interestingness measures for gene association rule mining. Neural Comput. Appl. Meihua Wang, Shumin Wu, Ruichu Cai
2012	—	`conf`	A cancer classification method based on association rules. FSKD Meihua Wang, XiongBin Su, Fuming Liu, Ruichu Cai
2012	—	`conf`	Alpha Matting Using Artificial Immune Network. ICSI (1) Zhifeng Hao, Jianming Liu, Xueming Yan, Wen Wen, Ruichu Cai
2012	Misc	`conf`	Gaussian process learning for image classification based on low-level features. ICNC Wen Wen, Zhifeng Hao, Ruichu Cai, Zhuangfeng Shao
2012	—	`conf`	Word similarity-based Schema Matching and its application in Chinese mobile phone information integration. FSKD Zhifeng Hao, Xin Zhang, Wen Wen, Ruichu Cai
2011	J	`jnl`	A new hybrid method for gene selection. Pattern Anal. Appl. Ruichu Cai, Zhifeng Hao, Xiaowei Yang, Han Huang
2011	J	`jnl`	BASSUM: A Bayesian semi-supervised method for classification feature selection. Pattern Recognit. Ruichu Cai, Zhenjie Zhang, Zhifeng Hao
2011	J	`jnl`	What is Unequal among the Equals? Ranking Equivalent Rules from Gene Expression Data. IEEE Trans. Knowl. Data Eng. Ruichu Cai, Anthony K. H. Tung, Zhenjie Zhang, Zhifeng Hao
2010	J	`jnl`	Kernel based gene expression pattern discovery and its application on cancer classification. Neurocomputing Ruichu Cai, Zhifeng Hao, Wen Wen, Han Huang
2010	J	`jnl`	Portfolio adjusting optimization under credibility measures. J. Comput. Appl. Math. Xili Zhang, Wei-Guo Zhang, Ruichu Cai
2009	J	`jnl`	An efficient gene selection algorithm based on mutual information. Neurocomputing Ruichu Cai, Zhifeng Hao, Xiaowei Yang, Wen Wen
2009	—	`conf`	Kernel-based skyline cardinality estimation. SIGMOD Conference Zhenjie Zhang, Yin Yang, Ruichu Cai, Dimitris Papadias, Anthony K. H. Tung
2007	B	`conf`	A Novel Gene Ranking Algorithm Based on Random Subspace Method. IJCNN Ruichu Cai, Zhifeng Hao, Wen Wen
2007	Misc	`conf`	An ACO Algorithm with Adaptive Volatility Rate of Pheromone Trail. International Conference on Computational Science (4) Zhifeng Hao, Han Huang, Yong Qin, Ruichu Cai
2006	—	`conf`	A Novel ACO Algorithm with Adaptive Parameter. ICIC (3) Han Huang, Xiaowei Yang, Zhifeng Hao, Ruichu Cai