Yuan Jiang

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 73

Top Venues

IJCAI

AAAI

CoRR

Mach. Learn.

Publications

Peng Tan, Zhi-Hao Tan, Yuan Jiang, Zhi-Hua Zhou
Towards enabling learnware to handle heterogeneous feature spaces. Mach. Learn. 113 (4) (2024)
Lue Tao, Yu-Xuan Huang, Wang-Zhou Dai, Yuan Jiang
Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees. AAAI (2024)
Xiao-Dong Bi, Shao-Qun Zhang, Yuan Jiang
MEPSI: An MDL-Based Ensemble Pruning Approach with Structural Information. AAAI (2024)
Jin-Hui Wu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou
Theoretical Exploration of Flexible Transmitter Model. IEEE Trans. Neural Networks Learn. Syst. 35 (3) (2024)
Yi Xie, Zhi-Hao Tan, Yuan Jiang, Zhi-Hua Zhou
Identifying Helpful Learnwares Without Examining the Whole Market. ECAI (2023)
Yu-Xuan Huang, Zequn Sun, Guangyao Li, Xiaobin Tian, Wang-Zhou Dai, Wei Hu, Yuan Jiang, Zhi-Hua Zhou
Enabling Abductive Learning to Exploit Knowledge Graph. IJCAI (2023)
Yi-Xiao He, Shen-Huan Lyu, Yuan Jiang
Interpreting Deep Forest through Feature Contribution and MDI Feature Importance. CoRR (2023)
Jin-Hui Wu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou
Complex-valued Neurons Can Learn More but Slower than Real-valued Neurons via Gradient Descent. NeurIPS (2023)
Xin-Qiang Cai, Yao-Xiang Ding, Zi-Xuan Chen, Yuan Jiang, Masashi Sugiyama, Zhi-Hua Zhou
Seeing Differently, Acting Similarly: Heterogeneously Observable Imitation Learning. ICLR (2023)
Jun-Peng Jiang, Han-Jia Ye, Leye Wang, Yang Yang, Yuan Jiang, De-Chuan Zhan
On Transferring Expert Knowledge from Tabular Data to Images. UniReps (2023)
Yang Yang, Da-Wei Zhou, De-Chuan Zhan, Hui Xiong, Yuan Jiang, Jian Yang
Cost-Effective Incremental Deep Model: Matching Model Capacity With the Least Sampling. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Lue Tao, Yu-Xuan Huang, Wang-Zhou Dai, Yuan Jiang
Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees. CoRR (2023)
Peng Tan, Zhi-Hao Tan, Yuan Jiang, Zhi-Hua Zhou
Handling Learnwares Developed from Heterogeneous Feature Spaces without Auxiliary Data. IJCAI (2023)
Qin-Cheng Zheng, Shen-Huan Lyu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou
On the Consistency Rate of Decision Tree Learning Algorithms. AISTATS (2023)
Yu-Xuan Huang, Wang-Zhou Dai, Yuan Jiang, Zhi-Hua Zhou
Enabling Knowledge Refinement upon New Concepts in Abductive Learning. AAAI (2023)
Zhi-Hao Tan, Yi Xie, Yuan Jiang, Zhi-Hua Zhou
Real-Valued Backpropagation is Unsuitable for Complex-Valued Neural Networks. NeurIPS (2022)
Zhen-Yu Zhang, Yu-Yang Qian, Yu-Jie Zhang, Yuan Jiang, Zhi-Hua Zhou
Adaptive Learning for Weakly Labeled Streams. KDD (2022)
Zi-Xuan Chen, Xin-Qiang Cai, Yuan Jiang, Zhi-Hua Zhou
Anomaly Guided Policy Learning from Imperfect Demonstrations. AAMAS (2022)
Zhen-Yu Zhang, Peng Zhao, Yuan Jiang, Zhi-Hua Zhou
Learning From Incomplete and Inaccurate Supervision. IEEE Trans. Knowl. Data Eng. 34 (12) (2022)
Bi-Cun Xu, Kai Ming Ting, Yuan Jiang
Isolation Graph Kernel. AAAI (2021)
Han-Jia Ye, De-Chuan Zhan, Yuan Jiang, Zhi-Hua Zhou
Heterogeneous Few-Shot Model Rectification With Semantic Mapping. IEEE Trans. Pattern Anal. Mach. Intell. 43 (11) (2021)
Le-Wen Cai, Wang-Zhou Dai, Yu-Xuan Huang, Yu-Feng Li, Stephen Muggleton, Yuan Jiang
Abductive Learning with Ground Knowledge Base. IJCAI (2021)
Yi-Xuan Xu, Ming Pang, Ji Feng, Kai Ming Ting, Yuan Jiang, Zhi-Hua Zhou
Reconstruction-based Anomaly Detection with Completely Random Forest. SDM (2021)
Yang Yang, Zhao-Yang Fu, De-Chuan Zhan, Zhi-Bin Liu, Yuan Jiang
Semi-Supervised Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Transport. IEEE Trans. Knowl. Data Eng. 33 (2) (2021)
Yang Yang, Zhao-Yang Fu, De-Chuan Zhan, Zhi-Bin Liu, Yuan Jiang
Semi-Supervised Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Transport. CoRR (2021)
Jia-Lue Chen, Jia-Jia Cai, Yuan Jiang, Sheng-Jun Huang
PU Active Learning for Recommender Systems. Neural Process. Lett. 53 (5) (2021)
Xin-Qiang Cai, Yao-Xiang Ding, Yuan Jiang, Zhi-Hua Zhou
Imitation Learning from Pixel-Level Demonstrations by HashReward. AAMAS (2021)
Yang Yang, De-Chuan Zhan, Yi-Feng Wu, Zhi-Bin Liu, Hui Xiong, Yuan Jiang
Semi-Supervised Multi-Modal Clustering and Classification with Incomplete Modalities. IEEE Trans. Knowl. Data Eng. 33 (2) (2021)
Yu-Xuan Huang, Wang-Zhou Dai, Le-Wen Cai, Stephen H. Muggleton, Yuan Jiang
Fast Abductive Learning by Similarity-based Consistency Optimization. NeurIPS (2021)
Zhenyu Zhang, Peng Zhao, Yuan Jiang, Zhi-Hua Zhou
Learning with Feature and Distribution Evolvable Streams. ICML (2020)
Peng Zhao, Lijun Zhang, Yuan Jiang, Zhi-Hua Zhou
A Simple Approach for Non-stationary Linear Bandits. AISTATS (2020)
Liang Yang, Xi-Zhu Wu, Yuan Jiang, Zhi-Hua Zhou
Multi-Label Learning with Deep Forest. ECAI (2020)
Lu Wang, Xuanqing Liu, Jinfeng Yi, Yuan Jiang, Cho-Jui Hsieh
Provably Robust Metric Learning. NeurIPS (2020)
Ji Feng, Yi-Xuan Xu, Yuan Jiang, Zhi-Hua Zhou
Soft Gradient Boosting Machine. CoRR (2020)
Han-Jia Ye, De-Chuan Zhan, Nan Li, Yuan Jiang
Learning Multiple Local Metrics: Global Consideration Helps. IEEE Trans. Pattern Anal. Mach. Intell. 42 (7) (2020)
Lan-Zhe Guo, Zhenyu Zhang, Yuan Jiang, Yu-Feng Li, Zhi-Hua Zhou
Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data. ICML (2020)
Lu Wang, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh, Yuan Jiang
Spanning attack: reinforce black-box attacks with unlabeled data. Mach. Learn. 109 (12) (2020)
Zhi-Hao Tan, Peng Tan, Yuan Jiang, Zhi-Hua Zhou
Multi-label optimal margin distribution machine. Mach. Learn. 109 (3) (2020)
Lu Wang, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh, Yuan Jiang
Spanning Attack: Reinforce Black-box Attacks with Unlabeled Data. CoRR (2020)
Lu Wang, Xuanqing Liu, Jinfeng Yi, Yuan Jiang, Cho-Jui Hsieh
Provably Robust Metric Learning. CoRR (2020)
Xin-Qiang Cai, Yao-Xiang Ding, Yuan Jiang, Zhi-Hua Zhou
Expert-Level Atari Imitation Learning from Demonstrations Only. CoRR (2019)
Shao-Yuan Li, Yuan Jiang, Nitesh V. Chawla, Zhi-Hua Zhou
Multi-Label Learning from Crowds. IEEE Trans. Knowl. Data Eng. 31 (7) (2019)
Xiang-Rong Sheng, De-Chuan Zhan, Su Lu, Yuan Jiang
Multi-View Anomaly Detection: Neighborhood in Locality Matters. AAAI (2019)
Han-Jia Ye, De-Chuan Zhan, Yuan Jiang
Fast generalization rates for distance metric learning. Mach. Learn. 108 (2) (2019)
Han-Jia Ye, De-Chuan Zhan, Yuan Jiang, Zhi-Hua Zhou
What Makes Objects Similar: A Unified Multi-Metric Learning Approach. IEEE Trans. Pattern Anal. Mach. Intell. 41 (5) (2019)
Yang Yang, Yi-Feng Wu, De-Chuan Zhan, Zhi-Bin Liu, Yuan Jiang
Deep Robust Unsupervised Multi-Modal Network. AAAI (2019)
Yang Yang, Ke-Tao Wang, De-Chuan Zhan, Hui Xiong, Yuan Jiang
Comprehensive Semi-Supervised Multi-Modal Learning. IJCAI (2019)
Liang Yang, Xi-Zhu Wu, Yuan Jiang, Zhi-Hua Zhou
Multi-Label Learning with Deep Forest. CoRR (2019)
Yang Yang, Da-Wei Zhou, De-Chuan Zhan, Hui Xiong, Yuan Jiang
Adaptive Deep Models for Incremental Learning: Considering Capacity Scalability and Sustainability. KDD (2019)
Xin-Qiang Cai, Peng Zhao, Kai-Ming Ting, Xin Mu, Yuan Jiang
Nearest Neighbor Ensembles: An Effective Method for Difficult Problems in Streaming Classification with Emerging New Classes. ICDM (2019)
Zhenyu Zhang, Peng Zhao, Yuan Jiang, Zhi-Hua Zhou
Learning from Incomplete and Inaccurate Supervision. KDD (2019)
Chong Liu, Peng Zhao, Sheng-Jun Huang, Yuan Jiang, Zhi-Hua Zhou
Dual Set Multi-Label Learning. AAAI (2018)
Yang Yang, De-Chuan Zhan, Yi-Feng Wu, Yuan Jiang
Multi-network User Identification via Graph-Aware Embedding. PAKDD (2) (2018)
Shao-Yuan Li, Yuan Jiang
Multi-label Crowdsourcing Learning with Incomplete Annotations. PRICAI (1) (2018)
Yi-Feng Wu, De-Chuan Zhan, Yuan Jiang
DMTMV: A Unified Learning Framework for Deep Multi-task Multi-view Learning. ICBK (2018)
Yang Yang, Yi-Feng Wu, De-Chuan Zhan, Zhi-Bin Liu, Yuan Jiang
Complex Object Classification: A Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Transport. KDD (2018)
Yang Yang, Yi-Feng Wu, De-Chuan Zhan, Yuan Jiang
Deep Multi-modal Learning with Cascade Consensus. PRICAI (2018)
Yang Yang, De-Chuan Zhan, Xiang-Rong Sheng, Yuan Jiang
Semi-Supervised Multi-Modal Learning with Incomplete Modalities. IJCAI (2018)
Han-Jia Ye, De-Chuan Zhan, Yuan Jiang, Zhi-Hua Zhou
Rectify Heterogeneous Models with Semantic Mapping. ICML (2018)
Han-Jia Ye, De-Chuan Zhan, Xue-Min Si, Yuan Jiang
Learning Mahalanobis Distance Metric: Considering Instance Disturbance Helps. IJCAI (2017)
Yang Yang, De-Chuan Zhan, Xiang-Yu Guo, Yuan Jiang
Modal Consistency based Pre-Trained Multi-Model Reuse. IJCAI (2017)
Peng Zhao, Yuan Jiang, Zhi-Hua Zhou
Multi-View Matrix Completion for Clustering with Side Information. PAKDD (2) (2017)
Yang Yang, De-Chuan Zhan, Ying Fan, Yuan Jiang, Zhi-Hua Zhou
Deep Learning for Fixed Model Reuse. AAAI (2017)
Yang Yang, De-Chuan Zhan, Ying Fan, Yuan Jiang
Instance Specific Discriminative Modal Pursuit: A Serialized Approach. ACML (2017)
Wei Wang, Xiang-Yu Guo, Shao-Yuan Li, Yuan Jiang, Zhi-Hua Zhou
Obtaining High-Quality Label by Distinguishing between Easy and Hard Items in Crowdsourcing. IJCAI (2017)
Yu Zhang, Yuan Jiang
Multimodal Linear Discriminant Analysis via Structural Sparsity. IJCAI (2017)
Shaowu Liu, Gang Li, Truyen Tran, Yuan Jiang
Erratum to: Preference Relation-based Markov Random Fields for Recommender Systems. Mach. Learn. 106 (4) (2017)
Shaowu Liu, Gang Li, Truyen Tran, Yuan Jiang
Preference Relation-based Markov Random Fields for Recommender Systems. Mach. Learn. 106 (4) (2017)
Han-Jia Ye, De-Chuan Zhan, Yuan Jiang
Instance Specific Metric Subspace Learning: A Bayesian Approach. AAAI (2016)
Han-Jia Ye, De-Chuan Zhan, Xue-Min Si, Yuan Jiang, Zhi-Hua Zhou
What Makes Objects Similar: A Unified Multi-Metric Learning Approach. NIPS (2016)
Yang Yang, De-Chuan Zhan, Yuan Jiang
Learning by Actively Querying Strong Modal Features. IJCAI (2016)
Han-Jia Ye, De-Chuan Zhan, Xiaolin Li, Zhen-Chuan Huang, Yuan Jiang
College Student Scholarships and Subsidies Granting: A Multi-modal Multi-label Approach. ICDM (2016)
Han-Jia Ye, De-Chuan Zhan, Xue-Min Si, Yuan Jiang
Learning Feature Aware Metric. ACML (2016)
Yang Yang, Han-Jia Ye, De-Chuan Zhan, Yuan Jiang
Auxiliary Information Regularized Machine for Multiple Modality Feature Learning. IJCAI (2015)
Shaowu Liu, Gang Li, Truyen Tran, Yuan Jiang
Preference Relation-based Markov Random Fields for Recommender Systems. ACML (2015)
Shao-Yuan Li, Yuan Jiang, Zhi-Hua Zhou
Multi-Label Active Learning from Crowds. CoRR (2015)
Ju-Hua Hu, De-Chuan Zhan, Xintao Wu, Yuan Jiang, Zhi-Hua Zhou
Pairwised Specific Distance Learning from Physical Linkages. ACM Trans. Knowl. Discov. Data 9 (3) (2015)
Nan Li, Yuan Jiang, Zhi-Hua Zhou
Multi-label Selective Ensemble. MCS (2015)
Han-Jia Ye, De-Chuan Zhan, Yuan Miao, Yuan Jiang, Zhi-Hua Zhou
Rank Consistency based Multi-View Learning: A Privacy-Preserving Approach. CIKM (2015)
Shao-Yuan Li, Yuan Jiang, Zhi-Hua Zhou
Partial Multi-View Clustering. AAAI (2014)
Yue Zhu, Jianxin Wu, Yuan Jiang, Zhi-Hua Zhou
Learning with Augmented Multi-Instance View. ACML (2014)
Shu-Jun Yang, Yuan Jiang, Zhi-Hua Zhou
Multi-Instance Multi-Label Learning with Weak Label. IJCAI (2013)
Lei Yuan, Alexander Woodard, Shuiwang Ji, Yuan Jiang, Zhi-Hua Zhou, Sudhir Kumar, Jieping Ye
Learning Sparse Representations for Fruit-Fly Gene Expression Pattern Image Annotation and Retrieval. BMC Bioinform. 13 (2012)
Quannan Li, Xinggang Wang, Wei Wang, Yuan Jiang, Zhi-Hua Zhou, Zhuowen Tu
Disagreement-Based Multi-system Tracking. ACCV Workshops (2) (2012)
Xin-Shun Xu, Yuan Jiang, Xiangyang Xue, Zhi-Hua Zhou
Semi-supervised multi-instance multi-label learning for video annotation task. ACM Multimedia (2012)
Yu-Feng Li, Ju-Hua Hu, Yuan Jiang, Zhi-Hua Zhou
Towards Discovering What Patterns Trigger What Labels. AAAI (2012)
Yuan Jiang, Ming Li, Zhi-Hua Zhou
Software Defect Detection with Rocus. J. Comput. Sci. Technol. 26 (2) (2011)
Xin-Shun Xu, Yuan Jiang, Liang Peng, Xiangyang Xue, Zhi-Hua Zhou
Ensemble approach based on conditional random field for multi-label image and video annotation. ACM Multimedia (2011)
Yong Wang, Yuan Jiang, Yi Wu, Zhi-Hua Zhou
Local and Structural Consistency for Multi-Manifold Clustering. IJCAI (2011)
Yong Wang, Yuan Jiang, Yi Wu, Zhi-Hua Zhou
Localized K-Flats. AAAI (2011)
Yong Wang, Yuan Jiang, Yi Wu, Zhi-Hua Zhou
Spectral Clustering on Multiple Manifolds. IEEE Trans. Neural Networks 22 (7) (2011)
Yong Wang, Yuan Jiang, Yi Wu, Zhi-Hua Zhou
Multi-manifold Clustering. PRICAI (2010)
Yuan Jiang, Ming Li, Zhi-Hua Zhou
Mining extremely small data sets with application to software reuse. Softw. Pract. Exp. 39 (4) (2009)
Li-Ping Liu, Yuan Jiang, Zhi-Hua Zhou
Least Square Incremental Linear Discriminant Analysis. ICDM (2009)
Zhi-Hua Zhou, Michael K. Ng, Qiao-Qiao She, Yuan Jiang
Budget Semi-supervised Learning. PAKDD (2009)
Li-Ping Liu, Yang Yu, Yuan Jiang, Zhi-Hua Zhou
TEFE: A Time-Efficient Approach to Feature Extraction. ICDM (2008)
Yuan Jiang, Ming Li, Zhi-Hua Zhou
Generation of Comprehensible Hypotheses from Gene Expression Data. BioDM (2006)
Yuan Jiang, Jinjiang Ling, Gang Li, Honghua Dai, Zhi-Hua Zhou
Dependency Bagging. RSFDGrC (1) (2005)
Zhi-Hua Zhou, Xiao-Bing Xue, Yuan Jiang
Locating Regions of Interest in CBIR with Multi-instance Learning Techniques. Australian Conference on Artificial Intelligence (2005)
Zhi-Hua Zhou, Ke-Jia Chen, Yuan Jiang
Exploiting Unlabeled Data in Content-Based Image Retrieval. ECML (2004)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yuan Jiang