| 2026 | AAAI | Horizontal and Vertical Federated Causal Structure Learning via Higher-order Cumulants. | Wei Chen, Wanyang Gu, Linjun Peng, Ting Yan, Ruichu Cai, Zhifeng Hao, Kun Zhang |
| 2026 | ACL | SAM-NER: Semantic Archetype Mediation for Zero-Shot Named Entity Recognition. | Ruichu Cai, Juntao Gan, Miao Mai, Zhifeng Hao, Boyan Xu |
| 2026 | ACL | SERE: Structural Example Retrieval for Enhancing LLMs in Event Causality Identification. | Zhifeng Hao, Zhongjie Chen, Junhao Lu, Shengyin Yu, Guimin Hu, Keli Zhang, Ruichu Cai, Boyan Xu |
| 2025 | AAAI | Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting. | Ruichu Cai, Haiqin Huang, Zhifan Jiang, Zijian Li, Changze Zhou, Yuequn Liu, Yuming Liu, Zhifeng Hao |
| 2025 | CEC | Masked Genetic Operators with Causal Grouping for Constrained Multi-Objective Optimization. | Zhaojun Wang, Jiachun Huang, Wenji Li, Shunge Wang, Yifeng Qiu, Biao Xu, Jiafan Zhuang, Zhifeng Hao, Zhun Fan |
| 2025 | CEC | U-Shaped Network Based on Particle Swarm Optimization for Retinal Vessel Segmentation. | Junjie Yao, Guijie Zhu, Jiafan Zhuang, Zhifeng Hao, Wenji Li, Zhun Fan |
| 2025 | CIKM | Dialogues Aspect-based Sentiment Quadruple Extraction via Structural Entropy Minimization Partitioning. | Kun Peng, Cong Cao, Hao Peng, Zhifeng Hao, Lei Jiang, Kongjing Gu, Yanbing Liu, Philip S. Yu |
| 2025 | COLING | CACA: Context-Aware Cross-Attention Network for Extractive Aspect Sentiment Quad Prediction. | Bingfeng Chen, Haoran Xu, Yongqi Luo, Boyan Xu, Ruichu Cai, Zhifeng Hao |
| 2025 | CSCWD | Rank Constraints of High-Order Cumulants for Learning Linear Non-Gaussian Latent Polytree. | Ruichu Cai, Ying Shen, Zhengming Chen, Feng Xie, Yu Xiang, Zhifeng Hao |
| 2025 | DASFAA | Multi-view Attention Syntactic Enhanced Graph Convolutional Network for Aspect-Based Sentiment Analysis. | Xiang Huang, Hao Peng, Shuo Sun, Zhifeng Hao, Hui Lin, Shuhai Wang |
| 2025 | EMNLP | GenLink: Generation-Driven Schema-Linking via Multi-Model Learning for Text-to-SQL. | Zhifeng Hao, Junqi Huang, Shaobin Shi, Ruichu Cai, Boyan Xu |
| 2025 | EMNLP | Emotion Transfer with Enhanced Prototype for Unseen Emotion Recognition in Conversation. | Kun Peng, Cong Cao, Hao Peng, Guanlin Wu, Zhifeng Hao, Lei Jiang, Yanbing Liu, Philip S. Yu |
| 2025 | ICDE | Chat2DB: Chatting to the Database with Interactive Agent Assisted Language Models. | Boyan Xu, Yuyuan Cai, Shaobin Shi, Zhifeng Hao, Ruichu Cai |
| 2025 | ICML | Identification of Latent Confounders via Investigating the Tensor Ranks of the Nonlinear Observations. | Zhengming Chen, Yewei Xia, Feng Xie, Jie Qiao, Zhifeng Hao, Ruichu Cai, Kun Zhang |
| 2025 | ICML | Reducing Confounding Bias without Data Splitting for Causal Inference via Optimal Transport. | Yuguang Yan, Zongyu Li, Haolin Yang, Zeqin Yang, Hao Zhou, Ruichu Cai, Zhifeng Hao |
| 2025 | IJCAI | Conditional Independent Test in the Presence of Measurement Error with Causal Structure Learning. | Hongbin Zhang, Kezhou Chen, Nankai Lin, Aimin Yang, Zhifeng Hao, Zhengming Chen |
| 2025 | IJCAI | Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism. | Ruichu Cai, Kaitao Zheng, Junxian Huang, Zijian Li, Zhengming Chen, Boyan Xu, Zhifeng Hao |
| 2025 | IJCAI | Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting. | Wei Chen, Jiahao Zhang, Haipeng Zhu, Boyan Xu, Zhifeng Hao, Keli Zhang, Junjian Ye, Ruichu Cai |
| 2025 | IJCNN | Mitigating Q-Value Overestimation through Latent Causal Modeling in Deep Reinforcement Learning. | Ruichu Cai, Fuyi Lin, Wei Chen, Jie Qiao, Haipeng Zhu, Zhifeng Hao |
| 2025 | IJCNN | Cross-Network Relationship Learning via Optimal Transport for Link Prediction. | Zhifeng Hao, Zihan Chen, Zhiwei Chen, Yuguang Yan, Ruichu Cai |
| 2025 | IJCNN | PEFT Innovations in Text-to-SQL: Adapter and Prefix Tuning Methods with Structural Awareness. | Zhifeng Hao, Yuyuan Cai, Shaobin Shi, Boyan Xu, Ruichu Cai |
| 2025 | NAACL | Handling Missing Entities in Zero-Shot Named Entity Recognition: Integrated Recall and Retrieval Augmentation. | Ruichu Cai, Junhao Lu, Zhongjie Chen, Boyan Xu, Zhifeng Hao |
| 2025 | NAACL | \mathcalS²IT: Stepwise Syntax Integration Tuning for Large Language Models in Aspect Sentiment Quad Prediction. | Bingfeng Chen, Chenjie Qiu, Yifeng Xie, Boyan Xu, Ruichu Cai, Zhifeng Hao |
| 2025 | NAACL | Track-SQL: Enhancing Generative Language Models with Dual-Extractive Modules for Schema and Context Tracking in Multi-turn Text-to-SQL. | Bingfeng Chen, Shaobin Shi, Yongqi Luo, Boyan Xu, Ruichu Cai, Zhifeng Hao |
| 2025 | PRICAI | Balanced Learning for Incremental Multi-view Clustering. | Lijuan Wang, Feng Chen, Ming Yin, Zhifeng Hao, Ruichu Cai, Wei Chen, Xuan Xiong |
| 2025 | PRICAI | High-Order Information Embedding Transfer for Clustering with Constrained Laplacian Rank. | Lijuan Wang, Wenping Xiong, Guangdong Sun, Ming Yin, Zhifeng Hao, Ruichu Cai, Wei Chen, Minghua Zhao |
| 2025 | WWW | Learning Disentangled Representation for Multi-Modal Time-Series Sensing Signals. | Ruichu Cai, Zhifan Jiang, Kaitao Zheng, Zijian Li, Weilin Chen, Xuexin Chen, Yifan Shen, Guangyi Chen, Zhifeng Hao, Kun Zhang |
| 2025 | WWW | EVA-MVC: Equitable View-weight Allocation for Generic Multi-View Clustering. | Yuan Fang, Xiaofeng Feng, Geping Yang, Ruichu Cai, Yiyang Yang, Zhiguo Gong, Zhifeng Hao |
| 2024 | AAAI | Identification of Causal Structure with Latent Variables Based on Higher Order Cumulants. | Wei Chen, Zhiyi Huang, Ruichu Cai, Zhifeng Hao, Kun Zhang |
| 2024 | AAAI | Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples. | Ruichu Cai, Yuxuan Zhu, Jie Qiao, Zefeng Liang, Furui Liu, Zhifeng Hao |
| 2024 | AAAI | TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences. | Yuequn Liu, Ruichu Cai, Wei Chen, Jie Qiao, Yuguang Yan, Zijian Li, Keli Zhang, Zhifeng Hao |
| 2024 | AAAI | Adaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View Clustering. | Jingyu Pu, Chenhang Cui, Xinyue Chen, Yazhou Ren, Xiaorong Pu, Zhifeng Hao, Philip S. Yu, Lifang He |
| 2024 | AAAI | Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model. | Jie Qiao, Zhengming Chen, Jianhua Yu, Ruichu Cai, Zhifeng Hao |
| 2024 | AAAI | Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis. | Jie Qiao, Yu Xiang, Zhengming Chen, Ruichu Cai, Zhifeng Hao |
| 2024 | AAAI | Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering. | Zichen Wen, Yawen Ling, Yazhou Ren, Tianyi Wu, Jianpeng Chen, Xiaorong Pu, Zhifeng Hao, Lifang He |
| 2024 | AAAI | Exploiting Geometry for Treatment Effect Estimation via Optimal Transport. | Yuguang Yan, Zeqin Yang, Weilin Chen, Ruichu Cai, Zhifeng Hao, Michael Kwok-Po Ng |
| 2024 | ACL | S²GSL: Incorporating Segment to Syntactic Enhanced Graph Structure Learning for Aspect-based Sentiment Analysis. | Bingfeng Chen, Qihan Ouyang, Yongqi Luo, Boyan Xu, Ruichu Cai, Zhifeng Hao |
| 2024 | CIKM | Multivariate Time-Series Anomaly Detection based on Enhancing Graph Attention Networks with Topological Analysis. | Zhe Liu, Xiang Huang, Jingyun Zhang, Zhifeng Hao, Li Sun, Hao Peng |
| 2024 | GECCO | Generating Synthetic Tabular Data by Using Image Generative Adversarial Networks. | Bi Li, Boyu Chen, Nankai Lin, Xueming Yan, Yue Xie, Zhifeng Hao |
| 2024 | ICML | Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation. | Xuexin Chen, Ruichu Cai, Zhengting Huang, Yuxuan Zhu, Julien Horwood, Zhifeng Hao, Zijian Li, Jos Miguel Hernndez-Lobato |
| 2024 | ICML | Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning. | Weilin Chen, Ruichu Cai, Zeqin Yang, Jie Qiao, Yuguang Yan, Zijian Li, Zhifeng Hao |
| 2024 | ICML | Reducing Balancing Error for Causal Inference via Optimal Transport. | Yuguang Yan, Hao Zhou, Zeqin Yang, Weilin Chen, Ruichu Cai, Zhifeng Hao |
| 2024 | IJCAI | Individual Causal Structure Learning from Population Data. | Wei Chen, Xiaokai Huang, Zijian Li, Ruichu Cai, Zhiyi Huang, Zhifeng Hao |
| 2024 | KDD | SEBot: Structural Entropy Guided Multi-View Contrastive learning for Social Bot Detection. | Yingguang Yang, Qi Wu, Buyun He, Hao Peng, Renyu Yang, Zhifeng Hao, Yong Liao |
| 2024 | UAI | Multi-Relational Structural Entropy. | Yuwei Cao, Hao Peng, Angsheng Li, Chenyu You, Zhifeng Hao, Philip S. Yu |
| 2024 | SDM | Prompt Based Tri-Channel Graph Convolution Neural Network for Aspect Sentiment Triplet Extraction. | Kun Peng, Lei Jiang, Hao Peng, Rui Liu, Zhengtao Yu, Jiaqian Ren, Zhifeng Hao, Philip S. Yu |
| 2023 | APWEB | Ultra-DPC: Ultra-scalable and Index-Free Density Peak Clustering. | Luyao Ma, Geping Yang, Xiang Chen, Yiyang Yang, Zhiguo Gong, Zhifeng Hao |
| 2023 | CEC | A Surrogate-Ensemble Assisted Coevolutionary Algorithm for Expensive Constrained Multi-Objective Optimization Problems. | Wenji Li, Ruitao Mai, Pengxiang Ren, Zhaojun Wang, Qinchang Zhang, Ning Xu, Biao Xu, Zhun Fan, Zhifeng Hao |
| 2023 | CIKM | Generalization Bound for Estimating Causal Effects from Observational Network Data. | Ruichu Cai, Zeqin Yang, Weilin Chen, Yuguang Yan, Zhifeng Hao |
| 2023 | ICML | Causal Discovery with Latent Confounders Based on Higher-Order Cumulants. | Ruichu Cai, Zhiyi Huang, Wei Chen, Zhifeng Hao, Kun Zhang |
| 2023 | ICONIP | Latent Causal Dynamics Model for Model-Based Reinforcement Learning. | Zhifeng Hao, Haipeng Zhu, Wei Chen, Ruichu Cai |
| 2023 | IJCAI | Some General Identification Results for Linear Latent Hierarchical Causal Structure. | Zhengming Chen, Feng Xie, Jie Qiao, Zhifeng Hao, Ruichu Cai |
| 2023 | IJCAI | Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences. | Jie Qiao, Ruichu Cai, Siyu Wu, Yu Xiang, Keli Zhang, Zhifeng Hao |
| 2022 | AAAI | Identification of Linear Latent Variable Model with Arbitrary Distribution. | Zhengming Chen, Feng Xie, Jie Qiao, Zhifeng Hao, Kun Zhang, Ruichu Cai |
| 2022 | DASFAA | LiteWSC: A Lightweight Framework for Web-Scale Spectral Clustering. | Geping Yang, Sucheng Deng, Yiyang Yang, Zhiguo Gong, Xiang Chen, Zhifeng Hao |
| 2022 | IROS | Vision-based Distributed Multi-UAV Collision Avoidance via Deep Reinforcement Learning for Navigation. | Huaxing Huang, Guijie Zhu, Zhun Fan, Hao Zhai, Yuwei Cai, Ze Shi, Zhaohui Dong, Zhifeng Hao |
| 2021 | AAAI | Appearance-Motion Memory Consistency Network for Video Anomaly Detection. | Ruichu Cai, Hao Zhang, Wen Liu, Shenghua Gao, Zhifeng Hao |
| 2021 | GECCO | Cooperative co-evolution strategies with time-dependent grouping for optimization problems in smart grids. | Junpeng Su, Han Huang, Zhifeng Hao |
| 2021 | IJCAI | Causal Discovery with Multi-Domain LiNGAM for Latent Factors. | Yan Zeng, Shohei Shimizu, Ruichu Cai, Feng Xie, Michio Yamamoto, Zhifeng Hao |
| 2020 | CIKM | GNNVis: Visualize Large-Scale Data by Learning a Graph Neural Network Representation. | Yajun Huang, Jingbin Zhang, Yiyang Yang, Zhiguo Gong, Zhifeng Hao |
| 2020 | HPCC | DRS+: Load Shedding Meets Resource Auto-Scaling in Distributed Stream Processing. | Kailin Tang, Zhifeng Hao, Ruichu Cai, Tom Z. J. Fu, Yin Yang, Li Wang, Marianne Winslett, Zhenjie Zhang |
| 2019 | CEC | Runtime Analysis of Pigeon-Inspired Optimizer Based on Average Gain Model. | Yushan Zhang, Han Huang, Zhifeng Hao, Zhou Hong |
| 2019 | IJCAI | Learning Disentangled Semantic Representation for Domain Adaptation. | Ruichu Cai, Zijian Li, Pengfei Wei, Jie Qiao, Kun Zhang, Zhifeng Hao |
| 2019 | IJCAI | Causal Discovery with Cascade Nonlinear Additive Noise Model. | Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao |
| 2018 | AAAI | SELF: Structural Equational Likelihood Framework for Causal Discovery. | Ruichu Cai, Jie Qiao, Zhenjie Zhang, Zhifeng Hao |
| 2018 | ICANN | Generating Natural Answers on Knowledge Bases and Text by Sequence-to-Sequence Learning. | Zhihao Ye, Ruichu Cai, Zhaohui Liao, Zhifeng Hao, Jinfen Li |
| 2018 | ICONIP | Identification of Causality Among Gene Mutations Through Local Causal Association Rule Discovery. | Ruichu Cai, Qiqi Zhen, Zhifeng Hao |
| 2018 | ICWS | HPC2-ARS: An Architecture for Real-Time Analytic of Big Data Streams. | Yingchao Cheng, Zhifeng Hao, Ruichu Cai, Wen Wen |
| 2018 | UIC | Resource-Aware Stream Processing in High Performance Cloud Environment. | Yingchao Cheng, Zhifeng Hao, Ruichu Cai, Wen Wen, Lijuan Wang, Zhongrun Zhou |
| 2017 | CEC | Evolutionary algorithm with convergence speed controller for automated software test data generation problem. | Fangqing Liu, Han Huang, Zhifeng Hao |
| 2017 | GECCO | Ant colony optimization with human-computer cooperative strategy for two-echelon vehicle routing problem. | Xueming Yan, Zhifeng Hao, Han Huang, Hongyue Wu |
| 2017 | IJCAI | A Robust Noise Resistant Algorithm for POI Identification from Flickr Data. | Yiyang Yang, Zhiguo Gong, Qing Li, Leong Hou U, Ruichu Cai, Zhifeng Hao |
| 2017 | IWQoS | An efficient kurtosis-based causal discovery method for linear non-Gaussian acyclic data. | Ruichu Cai, Feng Xie, Wei Chen, Zhifeng Hao |
| 2016 | APWEB | Sentiment Target Extraction Based on CRFs with Multi-features for Chinese Microblog. | Bingfeng Chen, Zhifeng Hao, Ruichu Cai, Wen Wen, Shenzhi Du |
| 2016 | CEC | Human-computer cooperative brain storm optimization algorithm for the two-echelon vehicle routing problem. | Xueming Yan, Zhifeng Hao, Han Huang, Gang Li |
| 2016 | ICMLC | A human-machine cooperative approach for combinatorial optimization problem. | Xueming Yan, Han Huang, Zhifeng Hao, Gang Li |
| 2016 | KDD | Convex Optimization for Linear Query Processing under Approximate Differential Privacy. | Ganzhao Yuan, Yin Yang, Zhenjie Zhang, Zhifeng Hao |
| 2016 | SDM | Multi-Domain Manifold Learning for Drug-Target Interaction Prediction. | Ruichu Cai, Zhenjie Zhang, Srinivasan Parthasarathy, Anthony K. H. Tung, Zhifeng Hao, Wen Zhang |
| 2015 | APWEB | A Semi-supervised Solution for Cold Start Issue on Recommender Systems. | Zhifeng Hao, Yingchao Cheng, Ruichu Cai, Wen Wen, Lijuan Wang |
| 2015 | APWEB | Mining the Discriminative Word Sets for Bag-of-Words Model Based on Distributional Similarity Graph. | Wen Wen, Zhifeng Hao, Ruichu Cai |
| 2014 | CEC | A cooperative honey bee mating algorithm and its application in multi-threshold image segmentation. | Yunzhi Jiang, Zhifeng Hao, Zhenlun Yang, Yinglong Wang, Huojiao He |
| 2014 | ICDM | Tensor-Based Multi-view Feature Selection with Applications to Brain Diseases. | Bokai Cao, Lifang He, Xiangnan Kong, Philip S. Yu, Zhifeng Hao, Ann B. Ragin |
| 2014 | ICDM | Low-Density Cut Based Tree Decomposition for Large-Scale SVM Problems. | Lifang He, Hong-Han Shuai, Xiangnan Kong, Zhifeng Hao, Xiaowei Yang, Philip S. Yu |
| 2014 | ICMLC | Supervised low dimensional embedding for multi-label classification. | Zijie Chen, Zhifeng Hao |
| 2014 | ICMLC | Latent semantic KNN algorithm for multi-label learning. | Zijie Chen, Zhifeng Hao |
| 2014 | ICONIP | A Causal Model for Disease Pathway Discovery. | Ruichu Cai, Chang Yuan, Zhifeng Hao, Wen Wen, Lijuan Wang, Weiqi Chen, Zhihao Li |
| 2014 | SDM | DuSK: A Dual Structure-preserving Kernel for Supervised Tensor Learning with Applications to Neuroimages. | Lifang He, Xiangnan Kong, Philip S. Yu, Xiaowei Yang, Ann B. Ragin, Zhifeng Hao |
| 2013 | ICML | SADA: A General Framework to Support Robust Causation Discovery. | Ruichu Cai, Zhenjie Zhang, Zhifeng Hao |
| 2013 | ICMLC | An improved local adaptive clustering ensemble based on link analysis. | Li-Juan Wang, Zhifeng Hao, Ruichu Cai, Wen Wen |
| 2013 | PAKDD | One-Class Transfer Learning with Uncertain Data. | Bo Liu, Philip S. Yu, Yanshan Xiao, Zhifeng Hao |
| 2013 | SDM | Robust Textual Data Streams Mining Based on Continuous Transfer Learning. | Longbing Cao, Zhifeng Hao, Bo Liu, Yanshan Xiao, Philip S. Yu |
| 2013 | SDM | MODS: Multiple One-class Data Streams Learning from Homogeneous Data. | Zhifeng Hao, Bo Liu, Yanshan Xiao, Philip S. Yu |
| 2012 | CEC | A novel auto-parameters selection process for image segmentation. | Yunzhi Jiang, Pohsiang Tsai, Zhifeng Hao, Longbing Cao |
| 2012 | ICCCN | Generalized-Bi-Connectivity for Fault Tolerant Cognitive Radio Networks. | Hai Liu, Youhua Zhou, Xiaowen Chu, Yiu-Wing Leung, Zhifeng Hao |
| 2012 | ICMLC | An improved link analysis based clustering ensemble method. | Li-Juan Wang, Zhifeng Hao |
| 2012 | ICNC | Gaussian process learning for image classification based on low-level features. | Wen Wen, Zhifeng Hao, Ruichu Cai, Zhuangfeng Shao |
| 2011 | CIS | The 0/1 Multi-objective Knapsack Problem Based on Regional Search. | Weiqi Chen, Zhifeng Hao, Hai-Lin Liu |
| 2011 | IJCAI | Similarity-Based Approach for Positive and Unlabeled Learning. | Yanshan Xiao, Bo Liu, Jie Yin, Longbing Cao, Chengqi Zhang, Zhifeng Hao |
| 2010 | ICMLC | An evolutionary algorithm with sorted race mechanism for global optimization. | Xue-Qiang Li, Zhifeng Hao, Han Huang |
| 2009 | ADMA | Several SVM Ensemble Methods Integrated with Under-Sampling for Imbalanced Data Learning. | Zhiyong Lin, Zhifeng Hao, Xiaowei Yang, Xiaolan Liu |
| 2009 | ICDM | Multi-sphere Support Vector Data Description for Outliers Detection on Multi-distribution Data. | Yanshan Xiao, Bo Liu, Longbing Cao, Xindong Wu, Chengqi Zhang, Zhifeng Hao, Fengzhao Yang, Jie Cao |
| 2008 | CEC | Evolutionary support center machine. | Zhiyong Lin, Zhifeng Hao, Xiaowei Yang |
| 2007 | CIS | An Accelerated SMO-Type Online Learning Algorithm. | Zhifeng Hao, Zhenhua He, Xiaowei Yang |
| 2007 | ICANN | Real-Time Foreground-Background Segmentation Using Adaptive Support Vector Machine Algorithm. | Zhifeng Hao, Wen Wen, Zhou Liu, Xiaowei Yang |
| 2007 | ICCS | An ACO Algorithm with Adaptive Volatility Rate of Pheromone Trail. | Zhifeng Hao, Han Huang, Yong Qin, Ruichu Cai |
| 2007 | IJCNN | A Novel Gene Ranking Algorithm Based on Random Subspace Method. | Ruichu Cai, Zhifeng Hao, Wen Wen |
| 2007 | ISNN | An Improved Fuzzy Neural Network for Ultrasonic Motors Control. | Xu Xu, Yuxiao Zhang, Yanchun Liang, Xiaowei Yang, Zhifeng Hao |
| 2006 | ICNC | PSO with Improved Strategy and Topology for Job Shop Scheduling. | Kun Tu, Zhifeng Hao, Ming Chen |
| 2006 | ICONIP | A Heuristic Weight-Setting Algorithm for Robust Weighted Least Squares Support Vector Regression. | Wen Wen, Zhifeng Hao, Zhuangfeng Shao, Xiaowei Yang, Ming Chen |
| 2006 | IDEAL | A Fast Data Preprocessing Procedure for Support Vector Regression. | Zhifeng Hao, Wen Wen, Xiaowei Yang, Jie Lu, Guangquan Zhang |
| 2006 | ISDA | A Local-Density-Ratio Based Algorithm for Setting Weight in Weighted Least Squares Support Vector Machine. | Zhuangfeng Shao, Xiaowei Yang, Wen Wen, Zhifeng Hao |
| 2006 | ISNN | Mutual Conversion of Regression and Classification Based on Least Squares Support Vector Machines. | Jingqing Jiang, Chuyi Song, Chunguo Wu, Yanchun Liang, Xiaowei Yang, Zhifeng Hao |
| 2006 | ISNN | A Dynamic Time Delay Neural Network for Ultrasonic Motor Identification and Control. | Yanchun Liang, Jie Zhang, Xu Xu, Xiaowei Yang, Zhifeng Hao |
| 2006 | ISNN | Binary Tree Support Vector Machine Based on Kernel Fisher Discriminant for Multi-classification. | Bo Liu, Xiaowei Yang, Zhifeng Hao |
| 2006 | ISNN | An Adaptive Support Vector Machine Learning Algorithm for Large Classification Problem. | Shu Yu, Xiaowei Yang, Zhifeng Hao, Yanchun Liang |
| 2005 | ICNC | Hybrid Chromosome Genetic Algorithm for Generalized Traveling Salesman Problems. | Han Huang, Xiaowei Yang, Zhifeng Hao, Chunguo Wu, Yanchun Liang, Xi Zhao |
| 2005 | ICNC | Equivalence of Classification and Regression Under Support Vector Machine Theory. | Chunguo Wu, Yanchun Liang, Xiaowei Yang, Zhifeng Hao |
| 2005 | ISNN | Twi-Map Support Vector Machine for Multi-classification Problems. | Zhifeng Hao, Bo Liu, Xiaowei Yang, Yanchun Liang, Feng Zhao |
| 2004 | ISNN | Online LS-SVM Learning for Classification Problems Based on Incremental Chunk. | Zhifeng Hao, Shu Yu, Xiaowei Yang, Feng Zhao, Rong Hu, Yanchun Liang |