Zhifeng Hao - RankMe

457 papers A* 48A 13B 18C 6Misc 8Journal 297Unranked 67

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Brain-inspired AI for Edge Intelligence: a systematic review. CoRR Yingchao Cheng, Meijia Wang, Zhifeng Hao, Rajkumar Buyya
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`	Discriminative Subspace Clustering Based on Local Hyperdisk for High-Dimensional Big Data. Big Data Min. Anal. Yufeng Yu, Xuanyi Chen, Jiali Luo, Yingchao Cheng, Zhifeng Hao
2026	J	`jnl`	Enhanced Architecture of Structure Semantics for Syntax-Aware Code Generation. Softw. Pract. Exp. Canmiao Zhou, Zifeng Li, Han Huang, Yi Xiang, Fangqing Liu, Zhifeng Hao
2026	J	`jnl`	Evolutionary constrained optimization based on causal random forest. Expert Syst. Appl. Yinghan Hong, Sirui Liang, Jiahao Lian, Guizhen Mai, Liang Zhao, Yueting Xu, Yi Xiang, Hao Zhang, Fangqing Liu, Zhifeng Hao
2026	J	`jnl`	Formation control of swarm robotics: A survey from biological inspirations to design automation methods. Robotics Auton. Syst. Wenji Li, Zhaojun Wang, Chaotao Guan, Chuangbin Chen, Boxi Wang, Pengxiang Ren, Yifeng Qiu, Qinchang Zhang, Haoyu Wang, Dongliang Wang, Jiafan Zhuang, Biao Xu, Zhifeng Hao, Zhun Fan
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`	Microscale-Searching Evolutionary Optimization for Image Matting. IEEE Trans. Emerg. Top. Comput. Intell. Li Kang, Han Huang, Yihui Liang, Zeyang Liu, Zhifeng Hao
2026	J	`jnl`	Sketch-based feature fusion and complement for robust sketch-to-voxel reconstruction. Inf. Fusion Fei Wang, Zhineng Zhang, Junkun Jiang, Baoquan Zhao, Zhifeng Hao, Xiaonan Luo
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`	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
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 Experimental Approach for Running-Time Estimation of Multi-objective Evolutionary Algorithms in Numerical Optimization. CoRR Han Huang, Tianyu Wang, Chaoda Peng, Tongli He, Zhifeng Hao
2025	J	`jnl`	Applying incremental learning in binary-addition-tree algorithm in reliability analysis of dynamic binary-state networks. Reliab. Eng. Syst. Saf. Zhifeng Hao, Wei-Chang Yeh
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	J	`jnl`	Biochemical Computing Mode for Sequential Logic. CoRR Han Huang, Chengzhi Ma, Yuxin Zhao, Qingyao Wang, Xinglong Xiao, Xiulin Shu, Zhifeng Hao
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	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	A*	`conf`	Conditional Independent Test in the Presence of Measurement Error with Causal Structure Learning. IJCAI Hongbin Zhang, Kezhou Chen, Nankai Lin, Aimin Yang, Zhifeng Hao, Zhengming Chen
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`	Dialogues Aspect-based Sentiment Quadruple Extraction via Structural Entropy Minimization Partitioning. CIKM Kun Peng, Cong Cao, Hao Peng, Zhifeng Hao, Lei Jiang, Kongjing Gu, Yanbing Liu, Philip S. Yu
2025	J	`jnl`	Dialogues Aspect-based Sentiment Quadruple Extraction via Structural Entropy Minimization Partitioning. CoRR Kun Peng, Cong Cao, Hao Peng, Zhifeng Hao, Lei Jiang, Kongjing Gu, Yanbing Liu, Philip S. Yu
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	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	A*	`conf`	Emotion Transfer with Enhanced Prototype for Unseen Emotion Recognition in Conversation. EMNLP Kun Peng, Cong Cao, Hao Peng, Guanlin Wu, Zhifeng Hao, Lei Jiang, Yanbing Liu, Philip S. Yu
2025	J	`jnl`	Emotion Transfer with Enhanced Prototype for Unseen Emotion Recognition in Conversation. CoRR Kun Peng, Cong Cao, Hao Peng, Guanlin Wu, Zhifeng Hao, Lei Jiang, Yanbing Liu, Philip S. Yu
2025	J	`jnl`	Exploring Temporal Asymmetry in Human Behavior in Social Media Platforms. Entropy Liang Chen, Heng Zheng, Wenyue Wei, Haoran Pan, Weipeng Nie, Zhifeng Hao, Zhidan Zhao
2025	J	`jnl`	Flow Visualization for Complex Fluid Flows via a Structure-Enhanced Motion Estimator. IEEE Trans. Circuits Syst. Video Technol. Jun Chen, He Wang, Zhifeng Hao, Zemin Cai, Ling Mei, Tianshu Liu
2025	J	`jnl`	GE-MBAT: An efficient algorithm for reliability assessment in multi-state flow networks. Reliab. Eng. Syst. Saf. Zhifeng Hao, Wei-Chang Yeh
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	J	`jnl`	Hierarchical Text Classification Optimization via Structural Entropy and Singular Smoothing. IEEE Trans. Knowl. Data Eng. Qitong Liu, Hao Peng, Xiang Huang, Zhifeng Hao, Qingyun Sun, Zhengtao Yu, Philip S. Yu
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	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	J	`jnl`	Joint Distribution Weighted Alignment for Multi-Source Domain Adaptation via Kernel Relative Entropy Estimation. IEEE Trans. Multim. Sentao Chen, Ping Xuan, Zhifeng Hao
2025	J	`jnl`	Knowledge graph-based entity alignment with unified representation for auditing. Complex Intell. Syst. Youhua Zhou, Xueming Yan, Han Huang, Zhifeng Hao, Haofeng Zhu, Fangqing Liu
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`	Long-term Causal Inference via Modeling Sequential Latent Confounding. CoRR Weilin Chen, Ruichu Cai, Yuguang Yan, Zhifeng Hao, José Miguel Hernández-Lobato
2025	J	`jnl`	Long-term causal effects estimation across domains: an invariant surrogate representation learning approach. Int. J. Mach. Learn. Cybern. Jiabi Zheng, Weilin Chen, Zhiyong Lin, Aqing Yang, Zhifeng Hao
2025	—	`conf`	MNC-MDN: Multi-level Network Coarsening via Most Dominant Neighbors Identification. PRCV (1) Yiyang Yang, Yiting Chen, Zhifeng Hao, Jian Zhu
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`	Masked Genetic Operators with Causal Grouping for Constrained Multi-Objective Optimization. CEC Zhaojun Wang, Jiachun Huang, Wenji Li, Shunge Wang, Yifeng Qiu, Biao Xu, Jiafan Zhuang, Zhifeng Hao, Zhun Fan
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`	Multi-Instance Nonparallel Tube Learning. IEEE Trans. Neural Networks Learn. Syst. Yanshan Xiao, Bo Liu, Zhifeng Hao
2025	J	`jnl`	Multi-View Attention Syntactic Enhanced Graph Convolutional Network for Aspect-based Sentiment Analysis. CoRR Xiang Huang, Hao Peng, Shuo Sun, Zhifeng Hao, Hui Lin, Shuhai Wang
2025	—	`conf`	Multi-view Attention Syntactic Enhanced Graph Convolutional Network for Aspect-Based Sentiment Analysis. DASFAA (2) Xiang Huang, Hao Peng, Shuo Sun, Zhifeng Hao, Hui Lin, Shuhai Wang
2025	J	`jnl`	Multiple-gain Estimation for Running Time of Evolutionary Combinatorial Optimization. CoRR Min Huang, Pengxiang Chen, Han Huang, Tonli He, Yushan Zhang, Zhifeng Hao
2025	J	`jnl`	Neural Architecture Search Based on Bipartite Graphs for Text Classification. IEEE Trans. Neural Networks Learn. Syst. Xueming Yan, Han Huang, Yaochu Jin, Zilong Wang, Zhifeng Hao
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	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	J	`jnl`	PrePrompt: Predictive prompting for class incremental learning. CoRR Libo Huang, Zhulin An, Chuanguang Yang, Boyu Diao, Fei Wang, Yan Zeng, Zhifeng Hao, Yong-Jun Xu
2025	J	`jnl`	PromptSED: An evolving topic-enhanced prompting framework for incremental social event detection. Neural Networks Xiaoyan Yu, Jiaqian Ren, Lei Jiang, Hao Peng, Zhifeng Hao, Li Sun, Kun Peng, Liehuang Zhu, Philip S. Yu
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	J	`jnl`	Running-time Analysis of (μ+λ) Evolutionary Combinatorial Optimization Based on Multiple-gain Estimation. CoRR Min Huang, Pengxiang Chen, Han Huang, Tongli He, Yushan Zhang, Zhifeng Hao
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`	SPGMVC: Multiview Clustering via Partitioning the Signed Prototype Graph. IEEE Trans. Neural Networks Learn. Syst. Geping Yang, Shusen Yang, Yiyang Yang, Xiang Chen, Can Chen, Zhiguo Gong, Zhifeng Hao
2025	J	`jnl`	STEI-PCN: an efficient pure convolutional network for traffic prediction via spatial-temporal encoding and inferring. CoRR Kai Hu, Zhidan Zhao, Zhifeng Hao
2025	J	`jnl`	Stability of the Solution in P2P Network System Based on Two-Sided Fuzzy Relation Inequality. IEEE Trans. Fuzzy Syst. Xiaopeng Yang, Zhifeng Hao, Qianyu Shu
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	J	`jnl`	Structural entropy-based scheduler for job planning problems using multi-agent reinforcement learning. Int. J. Mach. Learn. Cybern. Lixin Liang, Shuo Sun, Zhifeng Hao, Yong Yang
2025	J	`jnl`	Surrogate-assisted neural learning and evolutionary optimization for expensive constrained multi-objective problems. Swarm Evol. Comput. Wenji Li, Yifeng Qiu, Zhaojun Wang, Biao Xu, Zhifeng Hao, Qingfu Zhang, Yun Li, Zhun Fan
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-aware tensor factorization for temporal recommendation. Appl. Intell. Yali Feng, Wen Wen, Zhifeng Hao, Ruichu Cai
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	B	`conf`	U-Shaped Network Based on Particle Swarm Optimization for Retinal Vessel Segmentation. CEC Junjie Yao, Guijie Zhu, Jiafan Zhuang, Zhifeng Hao, Wenji Li, Zhun Fan
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	J	`jnl`	Variational Graph Generator for Multiview Graph Clustering. IEEE Trans. Neural Networks Learn. Syst. Jianpeng Chen, Yawen Ling, Jie Xu, Yazhou Ren, Shudong Huang, Xiaorong Pu, Zhifeng Hao, Philip S. Yu, Lifang He
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	J	`jnl`	A new multi-view multi-label model with privileged information learning. Inf. Sci. Yanshan Xiao, Junfeng Chen, Bo Liu, Liang Zhao, Xiangjun Kong, Zhifeng Hao
2024	J	`jnl`	A novel federated multi-view clustering method for unaligned and incomplete data fusion. Inf. Fusion Yazhou Ren, Xinyue Chen, Jie Xu, Jingyu Pu, Yonghao Huang, Xiaorong Pu, Ce Zhu, Xiaofeng Zhu, Zhifeng Hao, Lifang He
2024	A*	`conf`	Adaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View Clustering. AAAI Jingyu Pu, Chenhang Cui, Xinyue Chen, Yazhou Ren, Xiaorong Pu, Zhifeng Hao, Philip S. Yu, Lifang He
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`	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	J	`jnl`	Correlation-Based Dynamic Allocation Scheme of Fitness Evaluations for Constrained Evolutionary Optimization. IEEE Trans. Evol. Comput. Han Huang, Yueting Xu, Yi Xiang, Zhifeng Hao
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`	Cross-modal hashing retrieval with compatible triplet representation. Neurocomputing Zhifeng Hao, Yaochu Jin, Xueming Yan, Chuyue Wang, Shangshang Yang, Hong Ge
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	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	—	`conf`	Generating Synthetic Tabular Data by Using Image Generative Adversarial Networks. GECCO Companion Bi Li, Boyu Chen, Nankai Lin, Xueming Yan, Yue Xie, Zhifeng Hao
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	A*	`conf`	Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering. AAAI Zichen Wen, Yawen Ling, Yazhou Ren, Tianyi Wu, Jianpeng Chen, Xiaorong Pu, Zhifeng Hao, Lifang He
2024	J	`jnl`	Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering. CoRR Zichen Wen, Yawen Ling, Yazhou Ren, Tianyi Wu, Jianpeng Chen, Xiaorong Pu, Zhifeng Hao, Lifang He
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	J	`jnl`	Industrial product surface defect detection via the fast denoising diffusion implicit model. Int. J. Mach. Learn. Cybern. Yue Wang, Yong Yang, Mingsheng Liu, Xianghong Tang, Haibin Wang, Zhifeng Hao, Ze Shi, Gang Wang, Botao Jiang, Chunyang Liu
2024	J	`jnl`	Knowledge transfer based many-objective approach for finding bugs in multi-path loops. Complex Intell. Syst. Stuart D. Semujju, Fangqing Liu, Han Huang, Yi Xiang, Xueming Yan, Zhifeng Hao
2024	J	`jnl`	Landmark-based k-factorization multi-view subspace clustering. Inf. Sci. Yuan Fang, Geping Yang, Xiang Chen, Zhiguo Gong, Yiyang Yang, Can Chen, 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`	Models and Algorithms for Optimizing Thresholds in Fuzzy Representation-Based Three-Way Decision. IEEE Trans. Fuzzy Syst. Jiubing Liu, Shutian Huang, Tianrui Li, Qiang Liang, Huaxiong Li, Zhifeng Hao
2024	J	`jnl`	Module-based graph pooling for graph classification. Pattern Recognit. Sucheng Deng, Geping Yang, Yiyang Yang, Zhiguo Gong, Can Chen, Xiang Chen, Zhifeng Hao
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`	Multi-Relational Structural Entropy. UAI Yuwei Cao, Hao Peng, Angsheng Li, Chenyu You, Zhifeng Hao, Philip S. Yu
2024	J	`jnl`	Multi-Relational Structural Entropy. CoRR Yuwei Cao, Hao Peng, Angsheng Li, Chenyu You, Zhifeng Hao, Philip S. Yu
2024	J	`jnl`	Multi-View Maximum Margin Clustering With Privileged Information Learning. IEEE Trans. Circuits Syst. Video Technol. Yanshan Xiao, Jianwei Zhang, Bo Liu, Liang Zhao, Xiangjun Kong, Zhifeng Hao
2024	J	`jnl`	Multi-task collaborative method based on manifold optimization for automated test case generation based on path coverage. Expert Syst. Appl. Jie Cao, Han Huang, Fangqing Liu, Qiuhong Zhang, Zhifeng Hao
2024	J	`jnl`	Multi-task ordinal regression with task weight discovery. Knowl. Based Syst. Yanshan Xiao, Mengyue Zeng, Bo Liu, Liang Zhao, Xiangjun Kong, Zhifeng Hao
2024	A	`conf`	Multivariate Time-Series Anomaly Detection based on Enhancing Graph Attention Networks with Topological Analysis. CIKM Zhe Liu, Xiang Huang, Jingyun Zhang, Zhifeng Hao, Li Sun, Hao Peng
2024	J	`jnl`	Multivariate Time-Series Anomaly Detection based on Enhancing Graph Attention Networks with Topological Analysis. CoRR Zhe Liu, Xiang Huang, Jingyun Zhang, Zhifeng Hao, Li Sun, Hao Peng
2024	J	`jnl`	Neural Architecture Search via Multi-Hashing Embedding and Graph Tensor Networks for Multilingual Text Classification. IEEE Trans. Emerg. Top. Comput. Intell. Xueming Yan, Han Huang, Yaochu Jin, Liang Chen, Zhanning Liang, 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`	Privileged multi-view one-class support vector machine. Neurocomputing Yanshan Xiao, Guitao Pan, Bo Liu, Liang Zhao, Xiangjun Kong, Zhifeng Hao
2024	A	`conf`	Prompt Based Tri-Channel Graph Convolution Neural Network for Aspect Sentiment Triplet Extraction. SDM Kun Peng, Lei Jiang, Hao Peng, Rui Liu, Zhengtao Yu, Jiaqian Ren, Zhifeng Hao, Philip S. Yu
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	A*	`conf`	SEBot: Structural Entropy Guided Multi-View Contrastive learning for Social Bot Detection. KDD Yingguang Yang, Qi Wu, Buyun He, Hao Peng, Renyu Yang, Zhifeng Hao, Yong Liao
2024	J	`jnl`	SeBot: Structural Entropy Guided Multi-View Contrastive Learning for Social Bot Detection. CoRR Yingguang Yang, Qi Wu, Buyun He, Hao Peng, Renyu Yang, Zhifeng Hao, Yong Liao
2024	J	`jnl`	Self-Weighted Contrastive Fusion for Deep Multi-View Clustering. IEEE Trans. Multim. Song Wu, Yan Zheng, Yazhou Ren, Jing He, Xiaorong Pu, Shudong Huang, Zhifeng Hao, Lifang He
2024	J	`jnl`	Semi-supervised fuzzy clustering algorithm based on prior membership degree matrix with expert preference. Expert Syst. Appl. Shengbing Xu, Zhifeng Hao, Yuanhao Zhu, Zhenyou Wang, Yunhao Xiao, Bo Liu
2024	J	`jnl`	Surrogate-assisted push and pull search for expensive constrained multi-objective optimization problems. Swarm Evol. Comput. Wenji Li, Ruitao Mai, Zhaojun Wang, Yifeng Qiu, Biao Xu, Zhifeng Hao, Zhun Fan
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`	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`	Toward Cross-Lingual Social Event Detection with Hybrid Knowledge Distillation. ACM Trans. Knowl. Discov. Data Jiaqian Ren, Hao Peng, Lei Jiang, Zhifeng Hao, Jia Wu, Shengxiang Gao, Zhengtao Yu, Qiang Yang
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`	UP-DPC: Ultra-scalable parallel density peak clustering. Inf. Sci. Luyao Ma, Geping Yang, Yiyang Yang, Xiang Chen, Juan Lu, Zhiguo Gong, Zhifeng Hao
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`	Unsupervised Social Bot Detection via Structural Information Theory. CoRR Hao Peng, Jingyun Zhang, Xiang Huang, Zhifeng Hao, Angsheng Li, Zhengtao Yu, Philip S. Yu
2024	J	`jnl`	Unsupervised Social Bot Detection via Structural Information Theory. ACM Trans. Inf. Syst. Hao Peng, Jingyun Zhang, Xiang Huang, Zhifeng Hao, Angsheng Li, Zhengtao Yu, Philip S. Yu
2024	J	`jnl`	Variable-Absent Fuzzy Relation Inequality With Max-Min Composition. IEEE Trans. Fuzzy Syst. Xiaopeng Yang, Zhifeng Hao, Jianjun Qiu, Qianyu Shu
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
2024	J	`jnl`	Zero-Shot NAS via the Suppression of Local Entropy Decrease. CoRR Ning Wu, Han Huang, Yueting Xu, Zhifeng Hao
2023	B	`conf`	A Surrogate-Ensemble Assisted Coevolutionary Algorithm for Expensive Constrained Multi-Objective Optimization Problems. CEC Wenji Li, Ruitao Mai, Pengxiang Ren, Zhaojun Wang, Qinchang Zhang, Ning Xu, Biao Xu, Zhun Fan, 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	J	`jnl`	Automated pattern generation for swarm robots using constrained multi-objective genetic programming. Swarm Evol. Comput. Zhun Fan, Zhaojun Wang, Wenji Li, Xiaomin Zhu, Bingliang Hu, An-Min Zou, Weidong Bao, Minqiang Gu, Zhifeng Hao, Yaochu Jin
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`	Consensus of three-way group decision with weight updating based on a novel linguistic intuitionistic fuzzy similarity. Inf. Sci. Jiubing Liu, Xinying Guo, Peijia Ren, Libo Zhang, Zhifeng Hao
2023	J	`jnl`	Factorizing time-heterogeneous Markov transition for temporal recommendation. Neural Networks Wen Wen, Wencui Wang, Zhifeng Hao, Ruichu Cai
2023	A*	`conf`	Federated Deep Multi-View Clustering with Global Self-Supervision. ACM Multimedia Xinyue Chen, Jie Xu, Yazhou Ren, Xiaorong Pu, Ce Zhu, Xiaofeng Zhu, Zhifeng Hao, Lifang He
2023	J	`jnl`	Federated Deep Multi-View Clustering with Global Self-Supervision. CoRR Xinyue Chen, Jie Xu, Yazhou Ren, Xiaorong Pu, Ce Zhu, Xiaofeng Zhu, Zhifeng Hao, Lifang He
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	A*	`conf`	Generative Neutral Features-Disentangled Learning for Facial Expression Recognition. ACM Multimedia Zhenqian Wu, Yazhou Ren, Xiaorong Pu, Zhifeng Hao, Lifang He
2023	J	`jnl`	High-dimensional causal discovery based on heuristic causal partitioning. Appl. Intell. Yinghan Hong, Junping Guo, Guizhen Mai, Yingqing Lin, Hao Zhang, Zhifeng Hao, Gengzhong Zheng
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`	LiteWSEC: A Lightweight Framework for Web-Scale Spectral Ensemble Clustering. IEEE Trans. Knowl. Data Eng. Geping Yang, Sucheng Deng, Can Chen, Yiyang Yang, Zhiguo Gong, Xiang Chen, Zhifeng Hao
2023	J	`jnl`	Local-Diversity Evaluation Assignment Strategy for Decomposition-Based Multiobjective Evolutionary Algorithm. IEEE Trans. Syst. Man Cybern. Syst. Shuling Yang, Han Huang, Fan Luo, Yang Xu, Zhifeng Hao
2023	J	`jnl`	Microscale Searching Algorithm for Coupling Matrix Optimization of Automated Microwave Filter Tuning. IEEE Trans. Cybern. Han Huang, Fujian Feng, Shuqiang Huang, Liang Chen, Zhifeng Hao
2023	J	`jnl`	Modular design automation of the morphologies, controllers, and vision systems for intelligent robots: a survey. Vis. Intell. Wenji Li, Zhaojun Wang, Ruitao Mai, Pengxiang Ren, Qinchang Zhang, Yutao Zhou, Ning Xu, Jiafan Zhuang, Bin Xin, Liang Gao, Zhifeng Hao, Zhun Fan
2023	J	`jnl`	Multi-task evolutionary optimization of multi-echelon location routing problems via a hierarchical fuzzy graph. Complex Intell. Syst. Xueming Yan, Yaochu Jin, Xiaohua Ke, 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	J	`jnl`	Nonlinear energy harvesting from rotating system. Commun. Nonlinear Sci. Numer. Simul. Dan Wang, Fangqi Chen, Zhifeng Hao, Marian Wiercigroch
2023	J	`jnl`	Prompt Based Tri-Channel Graph Convolution Neural Network for Aspect Sentiment Triplet Extraction. CoRR Kun Peng, Lei Jiang, Hao Peng, Rui Liu, Zhengtao Yu, Jiaqian Ren, Zhifeng Hao, Philip S. Yu
2023	J	`jnl`	RESKM: A General Framework to Accelerate Large-Scale Spectral Clustering. Pattern Recognit. Geping Yang, Sucheng Deng, Xiang Chen, Can Chen, Yiyang Yang, Zhiguo Gong, Zhifeng Hao
2023	J	`jnl`	Search-Based Software Test Data Generation for Path Coverage Based on a Feedback-Directed Mechanism. Complex Syst. Model. Simul. Stuart Dereck Semujju, Han Huang, Fangqing Liu, Yi Xiang, Zhifeng Hao
2023	J	`jnl`	Self-Organizing Neural Scheduler for the Flexible Job Shop Problem With Periodic Maintenance and Mandatory Outsourcing Constraints. IEEE Trans. Cybern. Junpeng Su, Han Huang, Gang Li, Xueqiang Li, Zhifeng Hao
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	—	`conf`	Ultra-DPC: Ultra-scalable and Index-Free Density Peak Clustering. APWeb/WAIM (4) Luyao Ma, Geping Yang, Xiang Chen, Yiyang Yang, Zhiguo Gong, Zhifeng Hao
2023	J	`jnl`	VG-Swarm: A Vision-Based Gene Regulation Network for UAVs Swarm Behavior Emergence. IEEE Robotics Autom. Lett. Huanlin Li, Yuwei Cai, Juncao Hong, Peng Xu, Hui Cheng, Xiaomin Zhu, Bingliang Hu, Zhifeng Hao, Zhun Fan
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	J	`jnl`	A Convex Model for Support Vector Distance Metric Learning. IEEE Trans. Neural Networks Learn. Syst. Yibang Ruan, Yanshan Xiao, Zhifeng Hao, Bo Liu
2022	J	`jnl`	A convex multi-class model via distance metric learning based class-to-instance confidence. Knowl. Based Syst. Yibang Ruan, Yanshan Xiao, Zhifeng Hao, Bo Liu
2022	J	`jnl`	An Embedded Hamiltonian Graph-Guided Heuristic Algorithm for Two-Echelon Vehicle Routing Problem. IEEE Trans. Cybern. Han Huang, Shuling Yang, Xueqiang Li, Zhifeng Hao
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	—	`conf`	FastDEC: Clustering by Fast Dominance Estimation. ECML/PKDD (1) Geping Yang, Hongzhang Lv, Yiyang Yang, Zhiguo Gong, Xiang Chen, Zhifeng Hao
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	—	`conf`	LiteWSC: A Lightweight Framework for Web-Scale Spectral Clustering. DASFAA (2) Geping Yang, Sucheng Deng, Yiyang Yang, Zhiguo Gong, Xiang Chen, Zhifeng Hao
2022	J	`jnl`	Manifold-Inspired Search-Based Algorithm for Automated Test Case Generation. IEEE Trans. Emerg. Top. Comput. Fangqing Liu, Han Huang, Junpeng Su, Stuart D. Semujju, Zhongming Yang, Zhifeng Hao
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`	Multi-Mode Motion Dynamics of a Top Tensioned Riser Excited by Vortices and Varying Tension. Int. J. Bifurc. Chaos Dan Wang, Zhifeng Hao, Fangqi Chen, Yushu Chen
2022	J	`jnl`	Multi-view partial label machine. Inf. Sci. Liang Zhao, Yanshan Xiao, Bo Liu, Zhifeng Hao
2022	J	`jnl`	Nonlinear dynamics of new magneto-mechanical oscillator. Commun. Nonlinear Sci. Numer. Simul. Zhifeng Hao, Dan Wang, Marian Wiercigroch
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`	Performance optimization of hard rock tunnel boring machine using multi-objective evolutionary algorithm. Comput. Ind. Eng. Zhun Fan, Zehao Zheng, Biao Xu, Wenji Li, Yonggang Zhang, Zhifeng Hao
2022	J	`jnl`	Privacy-Preserving Federated Depression Detection From Multisource Mobile Health Data. IEEE Trans. Ind. Informatics Xiaohang Xu, Hao Peng, Md. Zakirul Alam Bhuiyan, Zhifeng Hao, Lianzhong Liu, Lichao Sun, Lifang He
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`	VGSwarm: A Vision-based Gene Regulation Network for UAVs Swarm Behavior Emergence. CoRR Yuwei Cai, Huanlin Li, Zhun Fan, Juncao Hong, Peng Xu, Hui Cheng, Xiaomin Zhu, Bingliang Hu, Zhifeng Hao
2022	A	`conf`	Vision-based Distributed Multi-UAV Collision Avoidance via Deep Reinforcement Learning for Navigation. IROS Huaxing Huang, Guijie Zhu, Zhun Fan, Hao Zhai, Yuwei Cai, Ze Shi, Zhaohui Dong, Zhifeng Hao
2022	J	`jnl`	Vision-based Distributed Multi-UAV Collision Avoidance via Deep Reinforcement Learning for Navigation. CoRR Huaxing Huang, Guijie Zhu, Zhun Fan, Hao Zhai, Yuwei Cai, Ze Shi, Zhaohui Dong, Zhifeng Hao
2021	J	`jnl`	A nearest-neighbor search model for distance metric learning. Inf. Sci. Yibang Ruan, Yanshan Xiao, Zhifeng Hao, Bo Liu
2021	J	`jnl`	A real adjacency matrix-coded evolution algorithm for highly linkage-based routing problems. Int. J. Bio Inspired Comput. Hang Wei, Han Huang, Zhifeng Hao, Qin-Qun Chen, Witold Pedrycz, Gang Li
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`	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	—	`conf`	Cooperative co-evolution strategies with time-dependent grouping for optimization problems in smart grids. GECCO Companion Junpeng Su, Han Huang, Zhifeng Hao
2021	—	`conf`	Effective techniques for intelligent cardiotocography interpretation using XGB-RF feature selection and stacking fusion. BIBM Junyuan Feng, Jincheng Liang, Zihan Qiang, Xia Li, Qinqun Chen, Guiqing Liu, Jiaming Hong, Zhifeng Hao, Hang Wei
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`	GraphLSHC: Towards large scale spectral hypergraph clustering. Inf. Sci. Yiyang Yang, Sucheng Deng, Juan Lu, Yuhong Li, Zhiguo Gong, Leong Hou U, Zhifeng Hao
2021	J	`jnl`	Intelligent classification of antepartum cardiotocography model based on deep forest. Biomed. Signal Process. Control. Yandi Chen, Ao Guo, Qinqun Chen, Bin Quan, Guiqing Liu, Li Li, Jiaming Hong, Hang Wei, Zhifeng Hao
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`	Novel Binary-Addition Tree Algorithm for Reliability Evaluation of Acyclic Multistate Information Networks. Reliab. Eng. Syst. Saf. Wei-Chang Yeh, Zhifeng Hao, Majid Forghani-elahabad, Gai-Ge Wang, Yih-Lon Lin
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`	One-batch preempt deterioration-effect multi-state multi-rework network reliability problem and algorithms. Reliab. Eng. Syst. Saf. Zhifeng Hao, Wei-Chang Yeh, Shi-Yi Tan
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	J	`jnl`	QuickDSC: Clustering by Quick Density Subgraph Estimation. Inf. Sci. Xichen Zheng, Chengsen Ren, Yiyang Yang, Zhiguo Gong, Xiang Chen, Zhifeng Hao
2021	—	`conf`	Research on the Design of Active Learning Algorithm based on Query-by-Committee for Intelligent Fetal Monitoring. BIBM Bin Quan, Manli Yang, Xia Li, Qinqun Chen, Guiqing Liu, Jiaming Hong, Zhifeng Hao, Li Li, Hang Wei
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`	Search-Based Algorithm With Scatter Search Strategy for Automated Test Case Generation of NLP Toolkit. IEEE Trans. Emerg. Top. Comput. Intell. Fangqing Liu, Han Huang, Zhongming Yang, Zhifeng Hao, Jiangping Wang
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`	THP: Topological Hawkes Processes for Learning Granger Causality on Event Sequences. CoRR Ruichu Cai, Siyu Wu, Jie Qiao, Zhifeng Hao, Keli Zhang, Xi Zhang
2020	J	`jnl`	A Graph-Based Fuzzy Evolutionary Algorithm for Solving Two-Echelon Vehicle Routing Problems. IEEE Trans. Evol. Comput. Xueming Yan, Han Huang, Zhifeng Hao, Jiahai Wang
2020	J	`jnl`	A Novel Convolution-Based Algorithm for the Acyclic Network Symbolic Reliability Function Problem. IEEE Access Zhifeng Hao, Wei-Chang Yeh, Cheng-Feng Hu, Neal N. Xiong, Yi-Zhu Su, Chia-Ling Huang
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`	An Experimental Method to Estimate Running Time of Evolutionary Algorithms for Continuous Optimization. IEEE Trans. Evol. Comput. Han Huang, Junpeng Su, Yushan Zhang, 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	—	`conf`	Automatic Classification of Antepartum Cardiotocography Using Fuzzy Clustering and Adaptive Neuro -Fuzzy Inference System. BIBM Yue Fei, Xiaoqian Huang, Qinqun Chen, Jiamin Chen, Li Li, Jiaming Hong, Zhifeng Hao, Hang Wei
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`	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`	GNNVis: Visualize Large-Scale Data by Learning a Graph Neural Network Representation. CIKM Yajun Huang, Jingbin Zhang, Yiyang Yang, Zhiguo Gong, Zhifeng Hao
2020	J	`jnl`	General multi-state rework network and reliability algorithm. Reliab. Eng. Syst. Saf. Zhifeng Hao, Wei-Chang Yeh, Zhenyao Liu, Majid Forghani-elahabad
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	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`	Multi-distribution multi-commodity multistate flow network model and its reliability evaluation algorithm. Reliab. Eng. Syst. Saf. Zhifeng Hao, Wei-Chang Yeh, Ming Zuo, Jing Wang
2020	J	`jnl`	Optimization of Lennard-Jones clusters by particle swarm optimization with quasi-physical strategy. Swarm Evol. Comput. Guizhen Mai, Yinghan Hong, Shen Fu, Yingqing Lin, Zhifeng Hao, Han Huang, Yuanhao Zhu
2020	J	`jnl`	Quickest Multistate Flow Networks With the Deterioration Effect. IEEE Access Min-fan He, Zhifeng Hao, Wei-Chang Yeh, Chia-Chen Kuo, Neal N. Xiong, Yeou-Ren Shiue
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	J	`jnl`	Supereigenvalue Problem to Addition-Min Fuzzy Matrix With Application in P2P File Sharing System. IEEE Trans. Fuzzy Syst. Xiao-Peng Yang, Zhifeng Hao
2019	J	`jnl`	A Differential Privacy Support Vector Machine Classifier Based on Dual Variable Perturbation. IEEE Access Yaling Zhang, Zhifeng Hao, Shangping Wang
2019	J	`jnl`	A Novel Multistate Minimal Cut Vectors Problem and Its Algorithm. IEEE Trans. Reliab. Zhifeng Hao, Wei-Chang Yeh, Cheng-Feng Hu
2019	J	`jnl`	A Quick Inclusion-Exclusion technique. Inf. Sci. Zhifeng Hao, Wei-Chang Yeh, Jing Wang, Gai-Ge Wang, Bin Sun
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	J	`jnl`	Best of both worlds: Mitigating imbalance of crowd worker strategic choices without a budget. Knowl. Based Syst. Peng Shi, Manyu Zhao, Wanyuan Wang, Yifeng Zhou, Jiuchuan Jiang, Jinyu Zhang, Yichuan Jiang, Zhifeng Hao
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`	Deep infrared pedestrian classification based on automatic image matting. Appl. Soft Comput. Yihui Liang, Han Huang, Zhaoquan Cai, Zhifeng Hao, Kay Chen Tan
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	J	`jnl`	General Multi-State Rework Network and Reliability Algorithm. CoRR Zhifeng Hao, Wei-Chang Yeh, Zhenyao Liu
2019	—	`conf`	Imbalanced Cardiotocography Multi-classification for Antenatal Fetal Monitoring Using Weighted Random Forest. ICSH Jiaying Chen, Xiaocong Liu, Hang Wei, Qinqun Chen, Jiaming Hong, Qiongna Li, Zhifeng Hao
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`	Multiagent Pursuit-Evasion Problem with the Pursuers Moving at Uncertain Speeds. J. Intell. Robotic Syst. Fuhan Yan, Jiuchuan Jiang, Kai Di, Yichuan Jiang, Zhifeng Hao
2019	J	`jnl`	Multiobjective Evolutionary Optimization Based on Fuzzy Multicriteria Evaluation and Decomposition for Image Matting. IEEE Trans. Fuzzy Syst. Yihui Liang, Han Huang, Zhaoquan Cai, 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	J	`jnl`	Particle swarm optimization with convergence speed controller for large-scale numerical optimization. Soft Comput. Han Huang, Liang Lv, Shujin Ye, Zhifeng Hao
2019	J	`jnl`	Pixel-Level Discrete Multiobjective Sampling for Image Matting. IEEE Trans. Image Process. Han Huang, Yihui Liang, Xiaowei Yang, Zhifeng Hao
2019	J	`jnl`	Practical POMDP-based test mechanism for quality assurance in volunteer crowdsourcing. Enterp. Inf. Syst. Peng Shi, Wanyuan Wang, Yifeng Zhou, Jiuchuan Jiang, Yichuan Jiang, Zhifeng Hao, Jianyong Yu
2019	B	`conf`	Runtime Analysis of Pigeon-Inspired Optimizer Based on Average Gain Model. CEC Yushan Zhang, Han Huang, Zhifeng Hao, Zhou Hong
2019	J	`jnl`	Strategic Social Team Crowdsourcing: Forming a Team of Truthful Workers for Crowdsourcing in Social Networks. IEEE Trans. Mob. Comput. Wanyuan Wang, Zhanpeng He, Peng Shi, Weiwei Wu, Yichuan Jiang, Bo An, Zhifeng Hao, Bing Chen
2019	J	`jnl`	The effects of trust on life satisfaction in the context of WeChat use. Telematics Informatics Bi Li, Yan Wu, Zhifeng Hao, Xueming Yan, Boyu Chen
2019	J	`jnl`	Theoretical analysis of the convergence property of a basic pigeon-inspired optimizer in a continuous search space. Sci. China Inf. Sci. Yushan Zhang, Han Huang, Hongyue Wu, Zhifeng Hao
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 Selective Multiple Instance Transfer Learning Method for Text Categorization Problems. Knowl. Based Syst. Bo Liu, Yanshan Xiao, Zhifeng Hao
2018	J	`jnl`	A multi-task-based classification framework for multi-instance distance metric learning. Neurocomputing Zhifeng Hao, Yibang Ruan, Yanshan Xiao, Bo Liu
2018	J	`jnl`	Alpha matting with image pixel correlation. Int. J. Mach. Learn. Cybern. Xueming Yan, Zhifeng Hao, Han Huang
2018	J	`jnl`	Automated Test Case Generation Based on Differential Evolution With Relationship Matrix for iFogSim Toolkit. IEEE Trans. Ind. Informatics Han Huang, Fangqing Liu, Zhongming Yang, Zhifeng Hao
2018	A*	`conf`	Causal Discovery from Discrete Data using Hidden Compact Representation. NeurIPS Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao
2018	J	`jnl`	Causal feature selection method based on extended Markov blanket. Int. J. Wirel. Mob. Comput. Yinghan Hong, Zhifeng Hao, Guizhen Mai, Han Huang
2018	J	`jnl`	Evolutionary programming with a simulated-conformist mutation strategy. Soft Comput. Han Huang, Shujin Ye, Zhun Fan, Zhiyong Lin, Liang Lv, 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	J	`jnl`	Maximizing Algebraic Connectivity via Minimum Degree and Maximum Distance. IEEE Access Gang Li, Zhifeng Hao, Han Huang, Hang Wei
2018	J	`jnl`	Multiple-Instance Ordinal Regression. IEEE Trans. Neural Networks Learn. Syst. Yanshan Xiao, Bo Liu, 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	J	`jnl`	Running-time analysis of evolutionary programming based on Lebesgue measure of searching space. Neural Comput. Appl. Yushan Zhang, Han Huang, Zhiyong Lin, Zhifeng Hao, Guiwu Hu
2018	A*	`conf`	SELF: Structural Equational Likelihood Framework for Causal Discovery. AAAI Ruichu Cai, Jie Qiao, Zhenjie Zhang, Zhifeng Hao
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	J	`jnl`	Two-way negotiation for intelligent hotel reservation based on multiagent: The model and system. Knowl. Based Syst. Jinyu Zhang, Xuechun Luo, Yao Zhou, Weiwei Ruan, Y. Jiang, Zhifeng Hao
2018	J	`jnl`	Understanding Crowdsourcing Systems from a Multiagent Perspective and Approach. ACM Trans. Auton. Adapt. Syst. Jiuchuan Jiang, Bo An, Yichuan Jiang, Donghui Lin, Zhan Bu, Jie Cao, Zhifeng Hao
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 Construction Graph-Based Evolutionary Algorithm for Traveling Salesman Problem. SEAL Gang Li, Zhifeng Hao, Hang Wei, Han Huang
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	J	`jnl`	A Sphere-Description-Based Approach for Multiple-Instance Learning. IEEE Trans. Pattern Anal. Mach. Intell. Yanshan Xiao, Bo Liu, Zhifeng Hao
2017	J	`jnl`	A multiple-instance stream learning framework for adaptive document categorization. Knowl. Based Syst. Yanshan Xiao, Bo Liu, Jie Yin, Zhifeng Hao
2017	—	`conf`	An Approach for Inferring Causal Directions from Multi-Dimensional Networks. CSE/EUC (1) Yinghan Hong, Zhifeng Hao, Guizhen Mai, Bingfeng Chen, Rui Xie
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`	Ant colony optimization with human-computer cooperative strategy for two-echelon vehicle routing problem. GECCO (Companion) Xueming Yan, Zhifeng Hao, Han Huang, Hongyue Wu
2017	J	`jnl`	Automated test data generation based on particle swarm optimisation with convergence speed controller. CAAI Trans. Intell. Technol. Fangqing Liu, Han Huang, Xueqiang Li, Zhifeng Hao
2017	J	`jnl`	Differential Evolution Based on Self-Adaptive Fitness Function for Automated Test Case Generation. IEEE Comput. Intell. Mag. Han Huang, Fangqing Liu, Xiaoyan Zhuo, Zhifeng Hao
2017	B	`conf`	Evolutionary algorithm with convergence speed controller for automated software test data generation problem. CEC Fangqing Liu, Han Huang, Zhifeng Hao
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`	Running-time Analysis of Ant System Algorithms with Upper-bound Comparison. Int. J. Swarm Intell. Res. Han Huang, Hongyue Wu, Yushan Zhang, Zhiyong Lin, Zhifeng Hao
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`	Understanding Social Causalities Behind Human Action Sequences. IEEE Trans. Neural Networks Learn. Syst. Ruichu Cai, Zhenjie Zhang, Zhifeng Hao, Marianne Winslett
2016	J	`jnl`	A Maximum Margin Approach for Semisupervised Ordinal Regression Clustering. IEEE Trans. Neural Networks Learn. Syst. Yanshan Xiao, Bo Liu, Zhifeng Hao
2016	—	`conf`	A Real Adjacency Matrix-Coded Differential Evolution Algorithm for Traveling Salesman Problems. BIC-TA (2) Hang Wei, Zhifeng Hao, Han Huang, Gang Li, Qinqun Chen
2016	J	`jnl`	A cooperative honey bee mating algorithm and its application in multi-threshold image segmentation. Inf. Sci. Yunzhi Jiang, Wei-Chang Yeh, Zhifeng Hao, Zhenlun Yang
2016	Misc	`conf`	A human-machine cooperative approach for combinatorial optimization problem. ICMLC Xueming Yan, Han Huang, Zhifeng Hao, Gang Li
2016	J	`jnl`	A unified multi-label classification framework with supervised low-dimensional embedding. Neurocomputing Zijie Chen, Zhifeng Hao
2016	A*	`conf`	Convex Optimization for Linear Query Processing under Approximate Differential Privacy. KDD Ganzhao Yuan, Yin Yang, Zhenjie Zhang, Zhifeng Hao
2016	—	`conf`	Evolutionary Process: Parallelism Analysis of Differential Evolution Algorithm Based on Graph Theory. BIC-TA (2) Xiaoqi Peng, Zhifeng Hao, Han Huang, Hongyue Wu, Fangqing Liu
2016	J	`jnl`	First hitting time analysis of continuous evolutionary algorithms based on average gain. Clust. Comput. Yushan Zhang, Han Huang, Zhifeng Hao, Guiwu Hu
2016	B	`conf`	Human-computer cooperative brain storm optimization algorithm for the two-echelon vehicle routing problem. CEC Xueming Yan, Zhifeng Hao, Han Huang, Gang Li
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	J	`jnl`	Optimal Linear Aggregate Query Processing under Approximate Differential Privacy. CoRR Ganzhao Yuan, Yin Yang, Zhenjie Zhang, Zhifeng Hao
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`	A robust one-class transfer learning method with uncertain data. Knowl. Inf. Syst. Yanshan Xiao, Bo Liu, Philip S. Yu, Zhifeng Hao
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`	Automatic multilevel thresholding for image segmentation using stratified sampling and Tabu Search. Soft Comput. Yunzhi Jiang, Pohsiang Tsai, Zhifeng Hao, Longbing Cao
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	J	`jnl`	Optimizing Batch Linear Queries under Exact and Approximate Differential Privacy. CoRR Ganzhao Yuan, Zhenjie Zhang, Marianne Winslett, Xiaokui Xiao, Yin Yang, Zhifeng Hao
2015	J	`jnl`	Optimizing Batch Linear Queries under Exact and Approximate Differential Privacy. ACM Trans. Database Syst. Ganzhao Yuan, Zhenjie Zhang, Marianne Winslett, Xiaokui Xiao, Yin Yang, Zhifeng Hao
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 K-Farthest-Neighbor-based approach for support vector data description. Appl. Intell. Yanshan Xiao, Bo Liu, Zhifeng Hao, Longbing Cao
2014	J	`jnl`	A Practical Graph Isomorphism Algorithm with Vertex Canonical Labeling. J. Comput. Aimin Hou, Qingqi Zhong, Yurou Chen, Zhifeng Hao
2014	J	`jnl`	A Similarity-Based Classification Framework for Multiple-Instance Learning. IEEE Trans. Cybern. Yanshan Xiao, Bo Liu, Zhifeng Hao, Longbing Cao
2014	B	`conf`	A cooperative honey bee mating algorithm and its application in multi-threshold image segmentation. IEEE Congress on Evolutionary Computation Yunzhi Jiang, Zhifeng Hao, Zhenlun Yang, Yinglong Wang, Huojiao He
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`	An Efficient Approach for Outlier Detection with Imperfect Data Labels. IEEE Trans. Knowl. Data Eng. Bo Liu, Yanshan Xiao, Philip S. Yu, Zhifeng Hao, Longbing Cao
2014	J	`jnl`	An efficient orientation distance-based discriminative feature extraction method for multi-classification. Knowl. Inf. Syst. Bo Liu, Yanshan Xiao, Philip S. Yu, Zhifeng Hao, Longbing Cao
2014	J	`jnl`	An evolutionary algorithm based on constraint set partitioning for nurse rostering problems. Neural Comput. Appl. Han Huang, Weijia Lin, Zhiyong Lin, Zhifeng Hao, Andrew Lim
2014	J	`jnl`	BILGO: Bilateral greedy optimization for large scale semidefinite programming. Neurocomputing Zhifeng Hao, Ganzhao Yuan, Bernard Ghanem
2014	—	`conf`	Discovering Many-to-One Causality in Software Project Risk Analysis. 3PGCIC Weiqi Chen, Kang Liu, Lijun Su, Mei Liu, Zhifeng Hao, Yong Hu, Xiangzhou Zhang
2014	A	`conf`	DuSK: A Dual Structure-preserving Kernel for Supervised Tensor Learning with Applications to Neuroimages. SDM Lifang He, Xiangnan Kong, Philip S. Yu, Xiaowei Yang, Ann B. Ragin, Zhifeng Hao
2014	J	`jnl`	DuSK: A Dual Structure-preserving Kernel for Supervised Tensor Learning with Applications to Neuroimages. CoRR Lifang He, Xiangnan Kong, Philip S. Yu, Ann B. Ragin, Zhifeng Hao, Xiaowei Yang
2014	J	`jnl`	Graph-based semi-supervised learning by mixed label propagation with a soft constraint. Inf. Sci. Xiaolan Liu, Shaohua Pan, Zhifeng Hao, Zhiyong Lin
2014	Misc	`conf`	Latent semantic KNN algorithm for multi-label learning. ICMLC Zijie Chen, Zhifeng Hao
2014	A*	`conf`	Low-Density Cut Based Tree Decomposition for Large-Scale SVM Problems. ICDM Lifang He, Hong-Han Shuai, Xiangnan Kong, Zhifeng Hao, Xiaowei Yang, Philip S. Yu
2014	Misc	`conf`	Supervised low dimensional embedding for multi-label classification. ICMLC Zijie Chen, Zhifeng Hao
2014	A*	`conf`	Tensor-Based Multi-view Feature Selection with Applications to Brain Diseases. ICDM Bokai Cao, Lifang He, Xiangnan Kong, Philip S. Yu, Zhifeng Hao, Ann B. Ragin
2014	J	`jnl`	Uncertain One-Class Learning and Concept Summarization Learning on Uncertain Data Streams. IEEE Trans. Knowl. Data Eng. Bo Liu, Yanshan Xiao, Philip S. Yu, Longbing Cao, Yun Zhang, Zhifeng Hao
2013	—	`conf`	A Hybrid Approach for Large Scale Causality Discovery. ICIC (3) Zhifeng Hao, Jinlong Huang, Ruichu Cai, Wen Wen
2013	J	`jnl`	A Linear Support Higher-Order Tensor Machine for Classification. IEEE Trans. Image Process. Zhifeng Hao, Lifang He, Bingqian Chen, Xiaowei Yang
2013	J	`jnl`	A primal method for multiple kernel learning. Neural Comput. Appl. Zhifeng Hao, Ganzhao Yuan, Xiaowei Yang, Zijie Chen
2013	J	`jnl`	An adaptive class pairwise dimensionality reduction algorithm. Neural Comput. Appl. Lifang He, Xiaowei Yang, Zhifeng Hao
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`	Low-rank quadratic semidefinite programming. Neurocomputing Ganzhao Yuan, Zhenjie Zhang, Bernard Ghanem, Zhifeng Hao
2013	A	`conf`	MODS: Multiple One-class Data Streams Learning from Homogeneous Data. SDM Zhifeng Hao, Bo Liu, Yanshan Xiao, Philip S. Yu
2013	J	`jnl`	Multi-objective Differential Evolution Algorithm based on Adaptive Mutation and Partition Selection. J. Comput. Sen Zhao, Zhifeng Hao, Han Huang, Yang Tan
2013	—	`conf`	One-Class Transfer Learning with Uncertain Data. PAKDD (1) Bo Liu, Philip S. Yu, Yanshan Xiao, Zhifeng Hao
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	A	`conf`	Robust Textual Data Streams Mining Based on Continuous Transfer Learning. SDM Longbing Cao, Zhifeng Hao, Bo Liu, Yanshan Xiao, Philip S. Yu
2013	—	`conf`	SADA: A General Framework to Support Robust Causation Discovery. ICML (2) Ruichu Cai, Zhenjie Zhang, Zhifeng Hao
2013	J	`jnl`	SVDD-based outlier detection on uncertain data. Knowl. Inf. Syst. Bo Liu, Yanshan Xiao, Longbing Cao, Zhifeng Hao, Feiqi Deng
2013	J	`jnl`	Uncertain exit time multi-period mean-variance portfolio selection with endogenous liabilities and Markov jumps. Autom. Haixiang Yao, Yongzeng Lai, Zhifeng Hao
2012	—	`conf`	A Memetic Algorithm Applied to Allocation Problem of the Concrete Mixing Plants. ICICA (2) Zhifeng Hao, Ai-Jing Wang, Han Huang
2012	B	`conf`	A novel auto-parameters selection process for image segmentation. IEEE Congress on Evolutionary Computation Yunzhi Jiang, Pohsiang Tsai, Zhifeng Hao, Longbing Cao
2012	—	`conf`	Alpha Matting Using Artificial Immune Network. ICSI (1) Zhifeng Hao, Jianming Liu, Xueming Yan, Wen Wen, Ruichu Cai
2012	Misc	`conf`	An improved link analysis based clustering ensemble method. ICMLC Li-Juan Wang, Zhifeng Hao
2012	J	`jnl`	Convergence time analysis of ant system algorithm. Int. J. Model. Identif. Control. Yu Shan Zhang, Zhifeng Hao, Han Huang
2012	J	`jnl`	Example-based learning particle swarm optimization for continuous optimization. Inf. Sci. Han Huang, Hu Qin, Zhifeng Hao, Andrew Lim
2012	J	`jnl`	Gaussian kernel-based fuzzy inference systems for high dimensional regression. Neurocomputing Qianfeng Cai, Zhifeng Hao, Xiaowei Yang
2012	Misc	`conf`	Gaussian process learning for image classification based on low-level features. ICNC Wen Wen, Zhifeng Hao, Ruichu Cai, Zhuangfeng Shao
2012	B	`conf`	Generalized-Bi-Connectivity for Fault Tolerant Cognitive Radio Networks. ICCCN Hai Liu, Youhua Zhou, Xiaowen Chu, Yiu-Wing Leung, Zhifeng Hao
2012	J	`jnl`	Local Community Detection Using Link Similarity. J. Comput. Sci. Technol. Yingjun Wu, Han Huang, Zhifeng Hao, Feng Chen
2012	J	`jnl`	Low Rank Mechanism for Optimizing Batch Queries under Differential Privacy CoRR Ganzhao Yuan, Zhenjie Zhang, Marianne Winslett, Xiaokui Xiao, Yin Yang, Zhifeng Hao
2012	J	`jnl`	Low-Rank Mechanism: Optimizing Batch Queries under Differential Privacy CoRR Ganzhao Yuan, Zhenjie Zhang, Marianne Winslett, Xiaokui Xiao, Yin Yang, Zhifeng Hao
2012	J	`jnl`	Low-Rank Mechanism: Optimizing Batch Queries under Differential Privacy. Proc. VLDB Endow. Ganzhao Yuan, Zhenjie Zhang, Marianne Winslett, Xiaokui Xiao, Yin Yang, Zhifeng Hao
2012	—	`conf`	Multi-objective Evolutionary Algorithm Based on Layer Strategy. ICSI (1) Sen Zhao, Zhifeng Hao, Shusen Liu, Weidi Xu, Han Huang
2012	J	`jnl`	Multilevel thresholding for image segmentation through Bayesian particle swarm optimisation. Int. J. Model. Identif. Control. Yunzhi Jiang, Zhifeng Hao, Ganzhao Yuan, Zhenlun Yang
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`	Exact algorithm and heuristic for the Closest String Problem. Comput. Oper. Res. Xiaolan Liu, Shenghan Liu, Zhifeng Hao, Holger Mauch
2011	—	`conf`	Hybrid Swarm-Based Optimization Algorithm of GA & VNS for Nurse Scheduling Problem. ICICA (LNCS) Zebin Zhang, Zhifeng Hao, Han Huang
2011	A*	`conf`	Similarity-Based Approach for Positive and Unlabeled Learning. IJCAI Yanshan Xiao, Bo Liu, Jie Yin, Longbing Cao, Chengqi Zhang, Zhifeng Hao
2011	C	`conf`	The 0/1 Multi-objective Knapsack Problem Based on Regional Search. CIS Weiqi Chen, Zhifeng Hao, Hai-Lin Liu
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	—	`conf`	A Relation-Based Model for Convergence Analysis of Evolutionary Algorithm. SEMCCO Zhifeng Hao, Han Huang, Haozhe Li, Shaohu Ling, Benqing Li
2010	—	`conf`	An Intelligence Model with Max-Min Strategy for Constrained Evolutionary Optimization. SEMCCO Xue-Qiang Li, Zhifeng Hao, Han Huang
2010	Misc	`conf`	An evolutionary algorithm with sorted race mechanism for global optimization. ICMLC Xue-Qiang Li, Zhifeng Hao, Han Huang
2010	—	`conf`	Evolutionary Programming Improved by an Individual Random Difference Mutation. SEMCCO Zhaoquan Cai, Han Huang, Zhifeng Hao, Xueqiang Li
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`	Multi-agent system for customer relationship management with SVMs tool. Int. J. Intell. Inf. Database Syst. Yanshan Xiao, Bo Liu, Dan Luo, Longbing Cao, Feiqi Deng, Zhifeng Hao
2010	J	`jnl`	Robust least squares support vector machine based on recursive outlier elimination. Soft Comput. Wen Wen, Zhifeng Hao, Xiaowei Yang
2010	—	`conf`	Runtime Analysis of (1+1) Evolutionary Algorithm for a TSP Instance. SEMCCO Yu Shan Zhang, Zhifeng Hao
2010	—	`conf`	Runtime Analysis of Evolutionary Programming Based on Cauchy Mutation. SEMCCO Han Huang, Zhifeng Hao, Zhaoquan Cai, Yifan Zhu
2009	J	`jnl`	A Pheromone-Rate-Based Analysis on the Convergence Time of ACO Algorithm. IEEE Trans. Syst. Man Cybern. Part B Han Huang, Chunguo Wu, Zhifeng Hao
2009	J	`jnl`	An efficient gene selection algorithm based on mutual information. Neurocomputing Ruichu Cai, Zhifeng Hao, Xiaowei Yang, Wen Wen
2009	—	`conf`	Multi-sphere Support Vector Data Description for Outliers Detection on Multi-distribution Data. ICDM Workshops Yanshan Xiao, Bo Liu, Longbing Cao, Xindong Wu, Chengqi Zhang, Zhifeng Hao, Fengzhao Yang, Jie Cao
2009	C	`conf`	Several SVM Ensemble Methods Integrated with Under-Sampling for Imbalanced Data Learning. ADMA Zhiyong Lin, Zhifeng Hao, Xiaowei Yang, Xiaolan Liu
2008	J	`jnl`	A heuristic weight-setting strategy and iteratively updating algorithm for weighted least-squares support vector regression. Neurocomputing Wen Wen, Zhifeng Hao, Xiaowei Yang
2008	B	`conf`	Evolutionary support center machine. IEEE Congress on Evolutionary Computation Zhiyong Lin, Zhifeng Hao, Xiaowei Yang
2008	J	`jnl`	Nesting One-Against-One Algorithm Based on SVMs for Pattern Classification. IEEE Trans. Neural Networks Bo Liu, Zhifeng Hao, Eric C. C. Tsang
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
2007	C	`conf`	An Accelerated SMO-Type Online Learning Algorithm. CIS Zhifeng Hao, Zhenhua He, Xiaowei Yang
2007	—	`conf`	An Improved Fuzzy Neural Network for Ultrasonic Motors Control. ISNN (1) Xu Xu, Yuxiao Zhang, Yanchun Liang, Xiaowei Yang, Zhifeng Hao
2007	J	`jnl`	Nesting Algorithm for Multi-Classification Problems. Soft Comput. Bo Liu, Zhifeng Hao, Xiaowei Yang
2007	—	`conf`	Real-Time Foreground-Background Segmentation Using Adaptive Support Vector Machine Algorithm. ICANN (2) Zhifeng Hao, Wen Wen, Zhou Liu, Xiaowei Yang
2007	—	`conf`	Successive Overrelaxation for Mamdani Fuzzy Systems. FSKD (3) Qianfeng Cai, Zhifeng Hao, Xiaowei Yang
2007	—	`conf`	The Solution of Linear Programming with LR-Fuzzy Numbers in Objective Function. ICFIE Qianfeng Cai, Zhifeng Hao, Shaohua Pan
2006	—	`conf`	A Dynamic Time Delay Neural Network for Ultrasonic Motor Identification and Control. ISNN (2) Yanchun Liang, Jie Zhang, Xu Xu, Xiaowei Yang, Zhifeng Hao
2006	C	`conf`	A Fast Data Preprocessing Procedure for Support Vector Regression. IDEAL Zhifeng Hao, Wen Wen, Xiaowei Yang, Jie Lu, Guangquan Zhang
2006	—	`conf`	A Heuristic Weight-Setting Algorithm for Robust Weighted Least Squares Support Vector Regression. ICONIP (1) Wen Wen, Zhifeng Hao, Zhuangfeng Shao, Xiaowei Yang, Ming Chen
2006	—	`conf`	A Local-Density-Ratio Based Algorithm for Setting Weight in Weighted Least Squares Support Vector Machine. ISDA (1) Zhuangfeng Shao, Xiaowei Yang, Wen Wen, Zhifeng Hao
2006	—	`conf`	A Novel ACO Algorithm with Adaptive Parameter. ICIC (3) Han Huang, Xiaowei Yang, Zhifeng Hao, Ruichu Cai
2006	—	`conf`	A Time Complexity Analysis of ACO for Linear Functions. SEAL Zhifeng Hao, Han Huang, Xili Zhang, Kun Tu
2006	—	`conf`	ACO for Continuous Optimization Based on Discrete Encoding. ANTS Workshop Han Huang, Zhifeng Hao
2006	—	`conf`	An Adaptive Support Vector Machine Learning Algorithm for Large Classification Problem. ISNN (1) Shu Yu, Xiaowei Yang, Zhifeng Hao, Yanchun Liang
2006	—	`conf`	Binary Tree Support Vector Machine Based on Kernel Fisher Discriminant for Multi-classification. ISNN (1) Bo Liu, Xiaowei Yang, Zhifeng Hao
2006	—	`conf`	Mutual Conversion of Regression and Classification Based on Least Squares Support Vector Machines. ISNN (1) Jingqing Jiang, Chuyi Song, Chunguo Wu, Yanchun Liang, Xiaowei Yang, Zhifeng Hao
2006	—	`conf`	PSO with Improved Strategy and Topology for Job Shop Scheduling. ICNC (2) Kun Tu, Zhifeng Hao, Ming Chen
2005	—	`conf`	Equivalence of Classification and Regression Under Support Vector Machine Theory. ICNC (3) Chunguo Wu, Yanchun Liang, Xiaowei Yang, Zhifeng Hao
2005	—	`conf`	Fuzzy Comprehensive Evaluation of E-commerce and Process Improvement. WINE Qin Liao, Huimin Gu, Zhifeng Hao, Zhonghua Tang
2005	—	`conf`	Hybrid Chromosome Genetic Algorithm for Generalized Traveling Salesman Problems. ICNC (3) Han Huang, Xiaowei Yang, Zhifeng Hao, Chunguo Wu, Yanchun Liang, Xi Zhao
2005	—	`conf`	Twi-Map Support Vector Machine for Multi-classification Problems. ISNN (1) Zhifeng Hao, Bo Liu, Xiaowei Yang, Yanchun Liang, Feng Zhao
2004	—	`conf`	Online LS-SVM Learning for Classification Problems Based on Incremental Chunk. ISNN (1) Zhifeng Hao, Shu Yu, Xiaowei Yang, Feng Zhao, Rong Hu, Yanchun Liang