Yuan Jiang - RankMe

132 papers A* 50A 8B 4C 5Journal 48Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Interpreting Deep Forest through Feature Contribution and MDI Feature Importance. ACM Trans. Knowl. Discov. Data Yi-Xiao He, Shen-Huan Lyu, Yuan Jiang
2026	J	`jnl`	Reparameterized Complex-valued Neurons Can Efficiently Learn More than Real-valued Neurons via Gradient Descent. J. Mach. Learn. Res. Jin-Hui Wu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou
2025	J	`jnl`	Abductive multi-instance multi-label learning for periodontal disease classification with prior domain knowledge. Medical Image Anal. Zi-Yuan Wu, Wei Guo, Wei Zhou, Han-Jia Ye, Yuan Jiang, Houxuan Li, Zhi-Hua Zhou
2025	—	`conf`	Adapting to Generalized Online Label Shift by Invariant Representation Learning. KDD (1) Yu-Yang Qian, Yi-Han Wang, Zhen-Yu Zhang, Yuan Jiang, Zhi-Hua Zhou
2025	A*	`conf`	Avoiding Undesired Future with Sequential Decisions. IJCAI Lue Tao, Tian-Zuo Wang, Yuan Jiang, Zhi-Hua Zhou
2025	J	`jnl`	Curriculum Abductive Learning. CoRR Wen-Chao Hu, Qi-Jie Li, Lin-Han Jia, Cunjing Ge, Yufeng Li, Yuan Jiang, Zhi-Hua Zhou
2025	A*	`conf`	Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflection (Extended Abstract). IJCAI Wen-Chao Hu, Wang-Zhou Dai, Yuan Jiang, Zhi-Hua Zhou
2025	A*	`conf`	Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflection. AAAI Wen-Chao Hu, Wang-Zhou Dai, Yuan Jiang, Zhi-Hua Zhou
2025	J	`jnl`	Revisiting multi-dimensional classification from a dimension-wise perspective. Frontiers Comput. Sci. Yi Shi, Han-Jia Ye, Dongliang Man, Xiaoxu Han, De-Chuan Zhan, Yuan Jiang
2025	J	`jnl`	Theoretical Investigation on Inductive Bias of Isolation Forest. CoRR Qin-Cheng Zheng, Shao-Qun Zhang, Shen-Huan Lyu, Yuan Jiang, Zhi-Hua Zhou
2024	J	`jnl`	ABLkit: a Python toolkit for abductive learning. Frontiers Comput. Sci. Yu-Xuan Huang, Wen-Chao Hu, En-Hao Gao, Yuan Jiang
2024	A*	`conf`	Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees. AAAI Lue Tao, Yu-Xuan Huang, Wang-Zhou Dai, Yuan Jiang
2024	J	`jnl`	Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflection. CoRR Wen-Chao Hu, Wang-Zhou Dai, Yuan Jiang, Zhi-Hua Zhou
2024	A*	`conf`	MEPSI: An MDL-Based Ensemble Pruning Approach with Structural Information. AAAI Xiao-Dong Bi, Shao-Qun Zhang, Yuan Jiang
2024	A*	`conf`	Tabular Insights, Visual Impacts: Transferring Expertise from Tables to Images. ICML Jun-Peng Jiang, Han-Jia Ye, Leye Wang, Yang Yang, Yuan Jiang, De-Chuan Zhan
2024	J	`jnl`	Theoretical Exploration of Flexible Transmitter Model. IEEE Trans. Neural Networks Learn. Syst. Jin-Hui Wu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou
2024	J	`jnl`	Towards enabling learnware to handle heterogeneous feature spaces. Mach. Learn. Peng Tan, Zhi-Hao Tan, Yuan Jiang, Zhi-Hua Zhou
2023	—	`conf`	A Multi-task Method for Immunofixation Electrophoresis Image Classification. MICCAI (6) Yi Shi, Rui-Xiang Li, Wen-Qi Shao, Xincen Duan, Han-Jia Ye, De-Chuan Zhan, Bai-Shen Pan, Beili Wang, Wei Guo, Yuan Jiang
2023	B	`conf`	Adaptive Clustered Federated Learning with Representation Similarity. DSAA Chiyu Cai, Wei Wang, Yuan Jiang
2023	A*	`conf`	Complex-valued Neurons Can Learn More but Slower than Real-valued Neurons via Gradient Descent. NeurIPS Jin-Hui Wu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou
2023	J	`jnl`	Cost-Effective Incremental Deep Model: Matching Model Capacity With the Least Sampling. IEEE Trans. Knowl. Data Eng. Yang Yang, Da-Wei Zhou, De-Chuan Zhan, Hui Xiong, Yuan Jiang, Jian Yang
2023	J	`jnl`	Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees. CoRR Lue Tao, Yu-Xuan Huang, Wang-Zhou Dai, Yuan Jiang
2023	A*	`conf`	Enabling Abductive Learning to Exploit Knowledge Graph. IJCAI Yu-Xuan Huang, Zequn Sun, Guangyao Li, Xiaobin Tian, Wang-Zhou Dai, Wei Hu, Yuan Jiang, Zhi-Hua Zhou
2023	A*	`conf`	Enabling Knowledge Refinement upon New Concepts in Abductive Learning. AAAI Yu-Xuan Huang, Wang-Zhou Dai, Yuan Jiang, Zhi-Hua Zhou
2023	J	`jnl`	Fully Decentralized Multiagent Communication via Causal Inference. IEEE Trans. Neural Networks Learn. Syst. Han Wang, Yang Yu, Yuan Jiang
2023	A*	`conf`	Handling Learnwares Developed from Heterogeneous Feature Spaces without Auxiliary Data. IJCAI Peng Tan, Zhi-Hao Tan, Yuan Jiang, Zhi-Hua Zhou
2023	A	`conf`	Identifying Helpful Learnwares Without Examining the Whole Market. ECAI Yi Xie, Zhi-Hao Tan, Yuan Jiang, Zhi-Hua Zhou
2023	J	`jnl`	Interpreting Deep Forest through Feature Contribution and MDI Feature Importance. CoRR Yi-Xiao He, Shen-Huan Lyu, Yuan Jiang
2023	—	`conf`	On Transferring Expert Knowledge from Tabular Data to Images. UniReps Jun-Peng Jiang, Han-Jia Ye, Leye Wang, Yang Yang, Yuan Jiang, De-Chuan Zhan
2023	A	`conf`	On the Consistency Rate of Decision Tree Learning Algorithms. AISTATS Qin-Cheng Zheng, Shen-Huan Lyu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou
2023	A*	`conf`	Seeing Differently, Acting Similarly: Heterogeneously Observable Imitation Learning. ICLR Xin-Qiang Cai, Yao-Xiang Ding, Zi-Xuan Chen, Yuan Jiang, Masashi Sugiyama, Zhi-Hua Zhou
2022	A*	`conf`	Adaptive Learning for Weakly Labeled Streams. KDD Zhen-Yu Zhang, Yu-Yang Qian, Yu-Jie Zhang, Yuan Jiang, Zhi-Hua Zhou
2022	A	`conf`	Anomaly Guided Policy Learning from Imperfect Demonstrations. AAMAS Zi-Xuan Chen, Xin-Qiang Cai, Yuan Jiang, Zhi-Hua Zhou
2022	J	`jnl`	Learning From Incomplete and Inaccurate Supervision. IEEE Trans. Knowl. Data Eng. Zhen-Yu Zhang, Peng Zhao, Yuan Jiang, Zhi-Hua Zhou
2022	A*	`conf`	Real-Valued Backpropagation is Unsuitable for Complex-Valued Neural Networks. NeurIPS Zhi-Hao Tan, Yi Xie, Yuan Jiang, Zhi-Hua Zhou
2021	A*	`conf`	Abductive Learning with Ground Knowledge Base. IJCAI Le-Wen Cai, Wang-Zhou Dai, Yu-Xuan Huang, Yufeng Li, Stephen H. Muggleton, Yuan Jiang
2021	A*	`conf`	Fast Abductive Learning by Similarity-based Consistency Optimization. NeurIPS Yu-Xuan Huang, Wang-Zhou Dai, Le-Wen Cai, Stephen H. Muggleton, Yuan Jiang
2021	J	`jnl`	Heterogeneous Few-Shot Model Rectification With Semantic Mapping. IEEE Trans. Pattern Anal. Mach. Intell. Han-Jia Ye, De-Chuan Zhan, Yuan Jiang, Zhi-Hua Zhou
2021	A	`conf`	Imitation Learning from Pixel-Level Demonstrations by HashReward. AAMAS Xin-Qiang Cai, Yao-Xiang Ding, Yuan Jiang, Zhi-Hua Zhou
2021	A*	`conf`	Improving Deep Forest by Exploiting High-order Interactions. ICDM Yi-He Chen, Shen-Huan Lyu, Yuan Jiang
2021	A*	`conf`	Isolation Graph Kernel. AAAI Bi-Cun Xu, Kai Ming Ting, Yuan Jiang
2021	A*	`conf`	LIFE: Learning Individual Features for Multivariate Time Series Prediction with Missing Values. ICDM Zhao-Yu Zhang, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou
2021	J	`jnl`	LIFE: Learning Individual Features for Multivariate Time Series Prediction with Missing Values. CoRR Zhao-Yu Zhang, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou
2021	J	`jnl`	PU Active Learning for Recommender Systems. Neural Process. Lett. Jia-Lue Chen, Jia-Jia Cai, Yuan Jiang, Sheng-Jun Huang
2021	A	`conf`	Reconstruction-based Anomaly Detection with Completely Random Forest. SDM Yi-Xuan Xu, Ming Pang, Ji Feng, Kai Ming Ting, Yuan Jiang, Zhi-Hua Zhou
2021	J	`jnl`	Seeing Differently, Acting Similarly: Imitation Learning with Heterogeneous Observations. CoRR Xin-Qiang Cai, Yao-Xiang Ding, Zi-Xuan Chen, Yuan Jiang, Masashi Sugiyama, Zhi-Hua Zhou
2021	J	`jnl`	Semi-Supervised Multi-Modal Clustering and Classification with Incomplete Modalities. IEEE Trans. Knowl. Data Eng. Yang Yang, De-Chuan Zhan, Yi-Feng Wu, Zhi-Bin Liu, Hui Xiong, Yuan Jiang
2021	J	`jnl`	Semi-Supervised Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Transport. CoRR Yang Yang, Zhao-Yang Fu, De-Chuan Zhan, Zhi-Bin Liu, Yuan Jiang
2021	J	`jnl`	Semi-Supervised Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Transport. IEEE Trans. Knowl. Data Eng. Yang Yang, Zhao-Yang Fu, De-Chuan Zhan, Zhi-Bin Liu, Yuan Jiang
2021	J	`jnl`	Towards Theoretical Understanding of Flexible Transmitter Networks via Approximation and Local Minima. CoRR Jin-Hui Wu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou
2020	A	`conf`	A Simple Approach for Non-stationary Linear Bandits. AISTATS Peng Zhao, Lijun Zhang, Yuan Jiang, Zhi-Hua Zhou
2020	—	`ch.`	Federated Soft Gradient Boosting Machine for Streaming Data. Federated Learning Ji Feng, Yi-Xuan Xu, Yong-Gang Wang, Yuan Jiang
2020	J	`jnl`	Learning Multiple Local Metrics: Global Consideration Helps. IEEE Trans. Pattern Anal. Mach. Intell. Han-Jia Ye, De-Chuan Zhan, Nan Li, Yuan Jiang
2020	A*	`conf`	Learning with Feature and Distribution Evolvable Streams. ICML Zhenyu Zhang, Peng Zhao, Yuan Jiang, Zhi-Hua Zhou
2020	A	`conf`	Multi-Label Learning with Deep Forest. ECAI Liang Yang, Xi-Zhu Wu, Yuan Jiang, Zhi-Hua Zhou
2020	J	`jnl`	Multi-label optimal margin distribution machine. Mach. Learn. Zhi-Hao Tan, Peng Tan, Yuan Jiang, Zhi-Hua Zhou
2020	A*	`conf`	Provably Robust Metric Learning. NeurIPS Lu Wang, Xuanqing Liu, Jinfeng Yi, Yuan Jiang, Cho-Jui Hsieh
2020	J	`jnl`	Provably Robust Metric Learning. CoRR Lu Wang, Xuanqing Liu, Jinfeng Yi, Yuan Jiang, Cho-Jui Hsieh
2020	A*	`conf`	Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data. ICML Lan-Zhe Guo, Zhenyu Zhang, Yuan Jiang, Yufeng Li, Zhi-Hua Zhou
2020	J	`jnl`	Soft Gradient Boosting Machine. CoRR Ji Feng, Yi-Xuan Xu, Yuan Jiang, Zhi-Hua Zhou
2020	J	`jnl`	Spanning Attack: Reinforce Black-box Attacks with Unlabeled Data. CoRR Lu Wang, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh, Yuan Jiang
2020	J	`jnl`	Spanning attack: reinforce black-box attacks with unlabeled data. Mach. Learn. Lu Wang, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh, Yuan Jiang
2019	A*	`conf`	Adaptive Deep Models for Incremental Learning: Considering Capacity Scalability and Sustainability. KDD Yang Yang, Da-Wei Zhou, De-Chuan Zhan, Hui Xiong, Yuan Jiang
2019	A*	`conf`	Comprehensive Semi-Supervised Multi-Modal Learning. IJCAI Yang Yang, Ke-Tao Wang, De-Chuan Zhan, Hui Xiong, Yuan Jiang
2019	A*	`conf`	Deep Robust Unsupervised Multi-Modal Network. AAAI Yang Yang, Yi-Feng Wu, De-Chuan Zhan, Zhi-Bin Liu, Yuan Jiang
2019	J	`jnl`	Expert-Level Atari Imitation Learning from Demonstrations Only. CoRR Xin-Qiang Cai, Yao-Xiang Ding, Yuan Jiang, Zhi-Hua Zhou
2019	J	`jnl`	Fast generalization rates for distance metric learning. Mach. Learn. Han-Jia Ye, De-Chuan Zhan, Yuan Jiang
2019	A*	`conf`	Learning from Incomplete and Inaccurate Supervision. KDD Zhenyu Zhang, Peng Zhao, Yuan Jiang, Zhi-Hua Zhou
2019	J	`jnl`	Multi-Label Learning from Crowds. IEEE Trans. Knowl. Data Eng. Shao-Yuan Li, Yuan Jiang, Nitesh V. Chawla, Zhi-Hua Zhou
2019	J	`jnl`	Multi-Label Learning with Deep Forest. CoRR Liang Yang, Xi-Zhu Wu, Yuan Jiang, Zhi-Hua Zhou
2019	A*	`conf`	Multi-View Anomaly Detection: Neighborhood in Locality Matters. AAAI Xiang-Rong Sheng, De-Chuan Zhan, Su Lu, Yuan Jiang
2019	A*	`conf`	Nearest Neighbor Ensembles: An Effective Method for Difficult Problems in Streaming Classification with Emerging New Classes. ICDM Xin-Qiang Cai, Peng Zhao, Kai-Ming Ting, Xin Mu, Yuan Jiang
2019	J	`jnl`	What Makes Objects Similar: A Unified Multi-Metric Learning Approach. IEEE Trans. Pattern Anal. Mach. Intell. Han-Jia Ye, De-Chuan Zhan, Yuan Jiang, Zhi-Hua Zhou
2018	A*	`conf`	Complex Object Classification: A Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Transport. KDD Yang Yang, Yi-Feng Wu, De-Chuan Zhan, Zhi-Bin Liu, Yuan Jiang
2018	—	`conf`	DMTMV: A Unified Learning Framework for Deep Multi-task Multi-view Learning. ICBK Yi-Feng Wu, De-Chuan Zhan, Yuan Jiang
2018	B	`conf`	Deep Multi-modal Learning with Cascade Consensus. PRICAI Yang Yang, Yi-Feng Wu, De-Chuan Zhan, Yuan Jiang
2018	A*	`conf`	Dual Set Multi-Label Learning. AAAI Chong Liu, Peng Zhao, Sheng-Jun Huang, Yuan Jiang, Zhi-Hua Zhou
2018	—	`conf`	Multi-label Crowdsourcing Learning with Incomplete Annotations. PRICAI (1) Shao-Yuan Li, Yuan Jiang
2018	—	`conf`	Multi-network User Identification via Graph-Aware Embedding. PAKDD (2) Yang Yang, De-Chuan Zhan, Yi-Feng Wu, Yuan Jiang
2018	A*	`conf`	Rectify Heterogeneous Models with Semantic Mapping. ICML Han-Jia Ye, De-Chuan Zhan, Yuan Jiang, Zhi-Hua Zhou
2018	A*	`conf`	Semi-Supervised Multi-Modal Learning with Incomplete Modalities. IJCAI Yang Yang, De-Chuan Zhan, Xiang-Rong Sheng, Yuan Jiang
2017	A*	`conf`	Deep Learning for Fixed Model Reuse. AAAI Yang Yang, De-Chuan Zhan, Ying Fan, Yuan Jiang, Zhi-Hua Zhou
2017	J	`jnl`	Erratum to: Preference Relation-based Markov Random Fields for Recommender Systems. Mach. Learn. Shaowu Liu, Gang Li, Truyen Tran, Yuan Jiang
2017	C	`conf`	Instance Specific Discriminative Modal Pursuit: A Serialized Approach. ACML Yang Yang, De-Chuan Zhan, Ying Fan, Yuan Jiang
2017	A*	`conf`	Learning Mahalanobis Distance Metric: Considering Instance Disturbance Helps. IJCAI Han-Jia Ye, De-Chuan Zhan, Xue-Min Si, Yuan Jiang
2017	A*	`conf`	Modal Consistency based Pre-Trained Multi-Model Reuse. IJCAI Yang Yang, De-Chuan Zhan, Xiang-Yu Guo, Yuan Jiang
2017	—	`conf`	Multi-View Matrix Completion for Clustering with Side Information. PAKDD (2) Peng Zhao, Yuan Jiang, Zhi-Hua Zhou
2017	A*	`conf`	Multimodal Linear Discriminant Analysis via Structural Sparsity. IJCAI Yu Zhang, Yuan Jiang
2017	A*	`conf`	Obtaining High-Quality Label by Distinguishing between Easy and Hard Items in Crowdsourcing. IJCAI Wei Wang, Xiang-Yu Guo, Shao-Yuan Li, Yuan Jiang, Zhi-Hua Zhou
2017	J	`jnl`	Preference Relation-based Markov Random Fields for Recommender Systems. Mach. Learn. Shaowu Liu, Gang Li, Truyen Tran, Yuan Jiang
2016	A*	`conf`	College Student Scholarships and Subsidies Granting: A Multi-modal Multi-label Approach. ICDM Han-Jia Ye, De-Chuan Zhan, Xiaolin Li, Zhen-Chuan Huang, Yuan Jiang
2016	A*	`conf`	Instance Specific Metric Subspace Learning: A Bayesian Approach. AAAI Han-Jia Ye, De-Chuan Zhan, Yuan Jiang
2016	C	`conf`	Learning Feature Aware Metric. ACML Han-Jia Ye, De-Chuan Zhan, Xue-Min Si, Yuan Jiang
2016	A*	`conf`	Learning by Actively Querying Strong Modal Features. IJCAI Yang Yang, De-Chuan Zhan, Yuan Jiang
2016	—	`conf`	What Makes Objects Similar: A Unified Multi-Metric Learning Approach. NIPS Han-Jia Ye, De-Chuan Zhan, Xue-Min Si, Yuan Jiang, Zhi-Hua Zhou
2015	A*	`conf`	Auxiliary Information Regularized Machine for Multiple Modality Feature Learning. IJCAI Yang Yang, Han-Jia Ye, De-Chuan Zhan, Yuan Jiang
2015	J	`jnl`	Multi-Label Active Learning from Crowds. CoRR Shao-Yuan Li, Yuan Jiang, Zhi-Hua Zhou
2015	—	`conf`	Multi-label Selective Ensemble. MCS Nan Li, Yuan Jiang, Zhi-Hua Zhou
2015	J	`jnl`	Pairwised Specific Distance Learning from Physical Linkages. ACM Trans. Knowl. Discov. Data Ju-Hua Hu, De-Chuan Zhan, Xintao Wu, Yuan Jiang, Zhi-Hua Zhou
2015	C	`conf`	Preference Relation-based Markov Random Fields for Recommender Systems. ACML Shaowu Liu, Gang Li, Truyen Tran, Yuan Jiang
2015	A	`conf`	Rank Consistency based Multi-View Learning: A Privacy-Preserving Approach. CIKM Han-Jia Ye, De-Chuan Zhan, Yuan Miao, Yuan Jiang, Zhi-Hua Zhou
2014	C	`conf`	Learning with Augmented Multi-Instance View. ACML Yue Zhu, Jianxin Wu, Yuan Jiang, Zhi-Hua Zhou
2014	A*	`conf`	Partial Multi-View Clustering. AAAI Shao-Yuan Li, Yuan Jiang, Zhi-Hua Zhou
2013	A*	`conf`	Multi-Instance Multi-Label Learning with Weak Label. IJCAI Shu-Jun Yang, Yuan Jiang, Zhi-Hua Zhou
2012	—	`conf`	Disagreement-Based Multi-system Tracking. ACCV Workshops (2) Quannan Li, Xinggang Wang, Wei Wang, Yuan Jiang, Zhi-Hua Zhou, Zhuowen Tu
2012	J	`jnl`	Learning Sparse Representations for Fruit-Fly Gene Expression Pattern Image Annotation and Retrieval. BMC Bioinform. Lei Yuan, Alexander Woodard, Shuiwang Ji, Yuan Jiang, Zhi-Hua Zhou, Sudhir Kumar, Jieping Ye
2012	A*	`conf`	Semi-supervised multi-instance multi-label learning for video annotation task. ACM Multimedia Xin-Shun Xu, Yuan Jiang, Xiangyang Xue, Zhi-Hua Zhou
2012	A*	`conf`	Towards Discovering What Patterns Trigger What Labels. AAAI Yufeng Li, Ju-Hua Hu, Yuan Jiang, Zhi-Hua Zhou
2011	A*	`conf`	Ensemble approach based on conditional random field for multi-label image and video annotation. ACM Multimedia Xin-Shun Xu, Yuan Jiang, Liang Peng, Xiangyang Xue, Zhi-Hua Zhou
2011	A*	`conf`	Local and Structural Consistency for Multi-Manifold Clustering. IJCAI Yong Wang, Yuan Jiang, Yi Wu, Zhi-Hua Zhou
2011	A*	`conf`	Localized K-Flats. AAAI Yong Wang, Yuan Jiang, Yi Wu, Zhi-Hua Zhou
2011	J	`jnl`	Software Defect Detection with Rocus. J. Comput. Sci. Technol. Yuan Jiang, Ming Li, Zhi-Hua Zhou
2011	J	`jnl`	Spectral Clustering on Multiple Manifolds. IEEE Trans. Neural Networks Yong Wang, Yuan Jiang, Yi Wu, Zhi-Hua Zhou
2010	B	`conf`	Multi-manifold Clustering. PRICAI Yong Wang, Yuan Jiang, Yi Wu, Zhi-Hua Zhou
2009	B	`conf`	Budget Semi-supervised Learning. PAKDD Zhi-Hua Zhou, Michael K. Ng, Qiao-Qiao She, Yuan Jiang
2009	A*	`conf`	Least Square Incremental Linear Discriminant Analysis. ICDM Li-Ping Liu, Yuan Jiang, Zhi-Hua Zhou
2009	J	`jnl`	Mining extremely small data sets with application to software reuse. Softw. Pract. Exp. Yuan Jiang, Ming Li, Zhi-Hua Zhou
2008	A*	`conf`	TEFE: A Time-Efficient Approach to Feature Extraction. ICDM Li-Ping Liu, Yang Yu, Yuan Jiang, Zhi-Hua Zhou
2006	—	`conf`	Generation of Comprehensible Hypotheses from Gene Expression Data. BioDM Yuan Jiang, Ming Li, Zhi-Hua Zhou
2005	—	`conf`	Dependency Bagging. RSFDGrC (1) Yuan Jiang, Jinjiang Ling, Gang Li, Honghua Dai, Zhi-Hua Zhou
2005	—	`conf`	Locating Regions of Interest in CBIR with Multi-instance Learning Techniques. Australian Conference on Artificial Intelligence Zhi-Hua Zhou, Xiao-Bing Xue, Yuan Jiang
2004	—	`conf`	Editing Training Data for kNN Classifiers with Neural Network Ensemble. ISNN (1) Yuan Jiang, Zhi-Hua Zhou
2004	—	`conf`	Exploiting Unlabeled Data in Content-Based Image Retrieval. ECML Zhi-Hua Zhou, Ke-Jia Chen, Yuan Jiang
2004	J	`jnl`	NeC4.5: Neural Ensemble Based C4.5. IEEE Trans. Knowl. Data Eng. Zhi-Hua Zhou, Yuan Jiang
2004	J	`jnl`	SOM Ensemble-Based Image Segmentation. Neural Process. Lett. Yuan Jiang, Zhi-Hua Zhou
2003	J	`jnl`	Extracting symbolic rules from trained neural network ensembles. AI Commun. Zhi-Hua Zhou, Yuan Jiang, Shifu Chen
2003	J	`jnl`	Medical diagnosis with C4.5 rule preceded by artificial neural network ensemble. IEEE Trans. Inf. Technol. Biomed. Zhi-Hua Zhou, Yuan Jiang
2003	—	`conf`	SOM Based Image Segmentation. RSFDGrC Yuan Jiang, Kejia Chen, Zhi-Hua Zhou
2002	J	`jnl`	Lung cancer cell identification based on artificial neural network ensembles. Artif. Intell. Medicine Zhi-Hua Zhou, Yuan Jiang, Yu-Bin Yang, Shifu Chen
2002	C	`conf`	The Application of Visualization and Neural Network Techniques in a Power Transformer Condition Monitoring System. IEA/AIE Zhi-Hua Zhou, Yuan Jiang, Xu-Ri Yin, Shifu Chen
2001	A*	`conf`	Genetic Algorithm based Selective Neural Network Ensemble. IJCAI Zhi-Hua Zhou, Jianxin Wu, Yuan Jiang, Shifu Chen
2000	J	`jnl`	A general neural framework for classification rule mining. Int. J. Comput. Syst. Signals Zhi-Hua Zhou, Yuan Jiang, Shifu Chen