Jiang, Yuan

64 publications

IJCAI 2025 Avoiding Undesired Future with Sequential Decisions Lue Tao, Tian-Zuo Wang, Yuan Jiang, Zhi-Hua Zhou

NeurIPS 2025 Curriculum Abductive Learning Wen-Chao Hu, Qi-Jie Li, Lin-Han Jia, Cunjing Ge, Yu-Feng Li, Yuan Jiang, Zhi-Hua Zhou

IJCAI 2025 DGL: Dynamic Global-Local Information Aggregation for Scalable VRP Generalization with Self-Improvement Learning Yubin Xiao, Yuesong Wu, Rui Cao, Di Wang, Zhiguang Cao, Xuan Wu, Peng Zhao, Yuanshu Li, You Zhou, Yuan Jiang

NeurIPS 2025 Discovering Symbolic Partial Differential Equation by Abductive Learning En-Hao Gao, Cunjing Ge, Yuan Jiang, Zhi-Hua Zhou

AAAI 2025 Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflection Wen-Chao Hu, Wang-Zhou Dai, Yuan Jiang, Zhi-Hua Zhou

IJCAI 2025 Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflection (Extended Abstract) Wen-Chao Hu, Wang-Zhou Dai, Yuan Jiang, Zhi-Hua Zhou

AAAI 2025 GRAIN: Multi-Granular and Implicit Information Aggregation Graph Neural Network for Heterophilous Graphs Songwei Zhao, Yuan Jiang, Zijing Zhang, Yang Yu, Hechang Chen

NeurIPS 2025 Learning Memory-Enhanced Improvement Heuristics for Flexible Job Shop Scheduling Jiaqi Wang, Zhiguang Cao, Peng Zhao, Rui Cao, Yubin Xiao, Yuan Jiang, You Zhou

IJCAI 2025 QA-MDT: Quality-Aware Masked Diffusion Transformer for Enhanced Music Generation Chang Li, Ruoyu Wang, Lijuan Liu, Jun Du, Yixuan Sun, Zilu Guo, Zhengrong Zhang, Yuan Jiang, Jianqing Gao, Feng Ma

AAAI 2024 Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees Lue Tao, Yu-Xuan Huang, Wang-Zhou Dai, Yuan Jiang

AAAI 2024 MEPSI: An MDL-Based Ensemble Pruning Approach with Structural Information Xiao-Dong Bi, Shao-Qun Zhang, Yuan Jiang

ICML 2024 Tabular Insights, Visual Impacts: Transferring Expertise from Tables to Images Jun-Peng Jiang, Han-Jia Ye, Leye Wang, Yang Yang, Yuan Jiang, De-Chuan Zhan

MLJ 2024 Towards Enabling Learnware to Handle Heterogeneous Feature Spaces Peng Tan, Zhi-Hao Tan, Yuan Jiang, Zhi-Hua Zhou

NeurIPS 2023 Complex-Valued Neurons Can Learn More but Slower than Real-Valued Neurons via Gradient Descent Jin-Hui Wu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou

IJCAI 2023 Enabling Abductive Learning to Exploit Knowledge Graph Yu-Xuan Huang, Zequn Sun, Guangyao Li, Xiaobin Tian, Wang-Zhou Dai, Wei Hu, Yuan Jiang, Zhi-Hua Zhou

AAAI 2023 Enabling Knowledge Refinement upon New Concepts in Abductive Learning Yu-Xuan Huang, Wang-Zhou Dai, Yuan Jiang, Zhi-Hua Zhou

NeurIPS 2023 Ensemble-Based Deep Reinforcement Learning for Vehicle Routing Problems Under Distribution Shift Yuan Jiang, Zhiguang Cao, Yaoxin Wu, Wen Song, Jie Zhang

IJCAI 2023 Handling Learnwares Developed from Heterogeneous Feature Spaces Without Auxiliary Data Peng Tan, Zhi-Hao Tan, Yuan Jiang, Zhi-Hua Zhou

UAI 2023 Multi-View Graph Contrastive Learning for Solving Vehicle Routing Problems Yuan Jiang, Zhiguang Cao, Yaoxin Wu, Jie Zhang

NeurIPSW 2023 On Transferring Expert Knowledge from Tabular Data to Images Jun-Peng Jiang, Han-Jia Ye, Leye Wang, Yang Yang, Yuan Jiang, De-Chuan Zhan

AISTATS 2023 On the Consistency Rate of Decision Tree Learning Algorithms Qin-Cheng Zheng, Shen-Huan Lyu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou

ICLR 2023 Seeing Differently, Acting Similarly: Heterogeneously Observable Imitation Learning Xin-Qiang Cai, Yao-Xiang Ding, Zixuan Chen, Yuan Jiang, Masashi Sugiyama, Zhi-Hua Zhou

AAAI 2022 Learning to Solve Routing Problems via Distributionally Robust Optimization Yuan Jiang, Yaoxin Wu, Zhiguang Cao, Jie Zhang

NeurIPS 2022 Real-Valued Backpropagation Is Unsuitable for Complex-Valued Neural Networks Zhi-Hao Tan, Yi Xie, Yuan Jiang, Zhi-Hua Zhou

IJCAI 2021 Abductive Learning with Ground Knowledge Base Le-Wen Cai, Wang-Zhou Dai, Yu-Xuan Huang, Yufeng Li, Stephen H. Muggleton, Yuan Jiang

NeurIPS 2021 Fast Abductive Learning by Similarity-Based Consistency Optimization Yu-Xuan Huang, Wang-Zhou Dai, Le-Wen Cai, Stephen H Muggleton, Yuan Jiang

AAAI 2021 Isolation Graph Kernel Bi-Cun Xu, Kai Ming Ting, Yuan Jiang

AISTATS 2020 A Simple Approach for Non-Stationary Linear Bandits Peng Zhao, Lijun Zhang, Yuan Jiang, Zhi-Hua Zhou

ICML 2020 Learning with Feature and Distribution Evolvable Streams Zhen-Yu Zhang, Peng Zhao, Yuan Jiang, Zhi-Hua Zhou

MLJ 2020 Multi-Label Optimal Margin Distribution Machine Zhi-Hao Tan, Peng Tan, Yuan Jiang, Zhi-Hua Zhou

NeurIPS 2020 Provably Robust Metric Learning Lu Wang, Xuanqing Liu, Jinfeng Yi, Yuan Jiang, Cho-Jui Hsieh

ICML 2020 Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data Lan-Zhe Guo, Zhen-Yu Zhang, Yuan Jiang, Yu-Feng Li, Zhi-Hua Zhou

MLJ 2020 Spanning Attack: Reinforce Black-Box Attacks with Unlabeled Data Lu Wang, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh, Yuan Jiang

IJCAI 2019 Comprehensive Semi-Supervised Multi-Modal Learning Yang Yang, Ke-Tao Wang, De-Chuan Zhan, Hui Xiong, Yuan Jiang

AAAI 2019 Deep Robust Unsupervised Multi-Modal Network Yang Yang, Yi-Feng Wu, De-Chuan Zhan, Zhi-Bin Liu, Yuan Jiang

MLJ 2019 Fast Generalization Rates for Distance Metric Learning Han-Jia Ye, De-Chuan Zhan, Yuan Jiang

AAAI 2019 Multi-View Anomaly Detection: Neighborhood in Locality Matters Xiang-Rong Sheng, De-Chuan Zhan, Su Lu, Yuan Jiang

AAAI 2018 Dual Set Multi-Label Learning Chong Liu, Peng Zhao, Sheng-Jun Huang, Yuan Jiang, Zhi-Hua Zhou

ICML 2018 Rectify Heterogeneous Models with Semantic Mapping Han-Jia Ye, De-Chuan Zhan, Yuan Jiang, Zhi-Hua Zhou

IJCAI 2018 Semi-Supervised Multi-Modal Learning with Incomplete Modalities Yang Yang, De-Chuan Zhan, Xiang-Rong Sheng, Yuan Jiang

AAAI 2017 Deep Learning for Fixed Model Reuse Yang Yang, De-Chuan Zhan, Ying Fan, Yuan Jiang, Zhi-Hua Zhou

MLJ 2017 Erratum to: Preference Relation-Based Markov Random Fields for Recommender Systems Shaowu Liu, Gang Li, Truyen Tran, Yuan Jiang

ACML 2017 Instance Specific Discriminative Modal Pursuit: A Serialized Approach Yang Yang, De-Chuan Zhan, Ying Fan, Yuan Jiang

IJCAI 2017 Learning Mahalanobis Distance Metric: Considering Instance Disturbance Helps Han-Jia Ye, De-Chuan Zhan, Xue-Min Si, Yuan Jiang

IJCAI 2017 Modal Consistency Based Pre-Trained Multi-Model Reuse Yang Yang, De-Chuan Zhan, Xiang-Yu Guo, Yuan Jiang

ICCV 2017 Multi-Stage Multi-Recursive-Input Fully Convolutional Networks for Neuronal Boundary Detection Wei Shen, Bin Wang, Yuan Jiang, Yan Wang, Alan Yuille

IJCAI 2017 Multimodal Linear Discriminant Analysis via Structural Sparsity Yu Zhang, Yuan Jiang

IJCAI 2017 Obtaining High-Quality Label by Distinguishing Between Easy and Hard Items in Crowdsourcing Wei Wang, Xiang-Yu Guo, Shao-Yuan Li, Yuan Jiang, Zhi-Hua Zhou

MLJ 2017 Preference Relation-Based Markov Random Fields for Recommender Systems Shaowu Liu, Gang Li, Truyen Tran, Yuan Jiang

AAAI 2016 Instance Specific Metric Subspace Learning: A Bayesian Approach Han-Jia Ye, De-Chuan Zhan, Yuan Jiang

ACML 2016 Learning Feature Aware Metric Han-Jia Ye, De-Chuan Zhan, Xue-Min Si, Yuan Jiang

IJCAI 2016 Learning by Actively Querying Strong Modal Features Yang Yang, De-Chuan Zhan, Yuan Jiang

CVPR 2016 Object Skeleton Extraction in Natural Images by Fusing Scale-Associated Deep Side Outputs Wei Shen, Kai Zhao, Yuan Jiang, Yan Wang, Zhijiang Zhang, Xiang Bai

NeurIPS 2016 What Makes Objects Similar: A Unified Multi-Metric Learning Approach Han-Jia Ye, De-Chuan Zhan, Xue-Min Si, Yuan Jiang, Zhi-Hua Zhou

IJCAI 2015 Auxiliary Information Regularized Machine for Multiple Modality Feature Learning Yang Yang, Han-Jia Ye, De-Chuan Zhan, Yuan Jiang

ACML 2015 Preference Relation-Based Markov Random Fields for Recommender Systems Shaowu Liu, Gang Li, Truyen Tran, Yuan Jiang

ACML 2014 Learning with Augmented Multi-Instance View Yue Zhu, Jianxin Wu, Yuan Jiang, Zhi-Hua Zhou

AAAI 2014 Partial Multi-View Clustering Shao-Yuan Li, Yuan Jiang, Zhi-Hua Zhou

IJCAI 2013 Multi-Instance Multi-Label Learning with Weak Label Shu-Jun Yang, Yuan Jiang, Zhi-Hua Zhou

AAAI 2012 Towards Discovering What Patterns Trigger What Labels Yufeng Li, Ju-Hua Hu, Yuan Jiang, Zhi-Hua Zhou

IJCAI 2011 Local and Structural Consistency for Multi-Manifold Clustering Yong Wang, Yuan Jiang, Yi Wu, Zhi-Hua Zhou

AAAI 2011 Localized K-Flats Yong Wang, Yuan Jiang, Yi Wu, Zhi-Hua Zhou

ECML-PKDD 2004 Exploiting Unlabeled Data in Content-Based Image Retrieval Zhi-Hua Zhou, Ke-Jia Chen, Yuan Jiang

IJCAI 2001 Genetic Algorithm Based Selective Neural Network Ensemble Zhi-Hua Zhou, Jianxin Wu, Yuan Jiang, Shifu Chen