| 2026 | CCGRID | FedMO: Mobility-Aware Client Selection in Federated Learning for Drone Delivery Systems. | Yuan Jiang, Xiao Liu, Jia Xu, Aiting Yao, Frank Jiang, Xuejun Li |
| 2026 | COMPSAC | From Passive Viewing to Active Participation: An AR Visualization and Interaction System for Enhanced Spectator Experience in Sports. | Bingwen Tong, Chi Li, Yuan Jiang, Junbing Zhao, Shaoyang Jing, Haowen Dai, Nazia Anwar, Dave Towey, Laura-Jane Filotrani |
| 2026 | WCNC | A Dynamic Minimum-Hop-Region Ant Colony Optimization Routing Algorithm for LEO Satellite Networks. | Wenbin Jiang, Yuan Jiang, Lei Zhao |
| 2026 | WCNC | Structure-Aware Grouping with Adaptive Greedy Scheduling for Belief Propagation in Loopy Graphs. | Jinguang Xiao, Yuan Jiang, Lei Zhao |
| 2025 | AAAI | Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflection. | Wen-Chao Hu, Wang-Zhou Dai, Yuan Jiang, Zhi-Hua Zhou |
| 2025 | AAAI | GRAIN: Multi-Granular and Implicit Information Aggregation Graph Neural Network for Heterophilous Graphs. | Songwei Zhao, Yuan Jiang, Zijing Zhang, Yang Yu, Hechang Chen |
| 2025 | IJCAI | Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflection (Extended Abstract). | Wen-Chao Hu, Wang-Zhou Dai, Yuan Jiang, Zhi-Hua Zhou |
| 2025 | IJCAI | 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 |
| 2025 | IJCAI | Avoiding Undesired Future with Sequential Decisions. | Lue Tao, Tian-Zuo Wang, Yuan Jiang, Zhi-Hua Zhou |
| 2025 | IJCAI | 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 |
| 2025 | KDD | Adapting to Generalized Online Label Shift by Invariant Representation Learning. | Yu-Yang Qian, Yi-Han Wang, Zhen-Yu Zhang, Yuan Jiang, Zhi-Hua Zhou |
| 2025 | KDD | An Efficient Diffusion-based Non-Autoregressive Solver for Traveling Salesman Problem. | Mingzhao Wang, You Zhou, Zhiguang Cao, Yubin Xiao, Xuan Wu, Wei Pang, Yuan Jiang, Hui Yang, Peng Zhao, Yuanshu Li |
| 2025 | VTC | Hybrid Beamforming for RIS-Assisted Multiuser mmWave MIMO Systems with MSE Constraints. | Yongquan Chen, Xin Liu, Lei Zhao, Yuan Jiang |
| 2025 | VTC | A Joint TA and CFO Estimation Method Using Random Access Preambles in Non-Terrestrial Networks. | Wenlu He, Lei Zhao, Yuan Jiang |
| 2025 | VTC | Resource Allocation in Vehicular Networks based on Hybrid Proximal Policy Optimization. | Jing Lu, Jinyu Liu, Lei Zhao, Yuan Jiang |
| 2025 | VTC | A Novel Robust Adaptive Beamforming Method for Null Broadening and Interference Mitigation in High-Dynamic Scenarios. | Kaichao Zheng, Yuan Jiang, Lei Zhao |
| 2025 | VTC | Temporally Correlated and Block-Sparse Channel Estimation for Millimeter-Wave Massive MIMO Systems. | Qijia Zhou, Jinyu Liu, Lei Zhao, Yuan Jiang |
| 2025 | VTC | Adaptive Low-Complexity Digital Predistortion Model for Complex nonlinear Memory Effect. | Wendi Zhu, Yuan Jiang, Lei Zhao, Jianming Lv |
| 2025 | WCNC | Multi-Link Operation in Heterogeneous Wi-Fi 7 Networks: Modeling and Throughput Optimization. | Wenhai Lin, Xinghua Sun, Wen Zhan, Yuan Jiang |
| 2025 | WWW | Dual Operation Aggregation Graph Neural Networks for Solving Flexible Job-Shop Scheduling Problem with Reinforcement Learning. | Peng Zhao, You Zhou, Di Wang, Zhiguang Cao, Yubin Xiao, Xuan Wu, Yuanshu Li, Hongjia Liu, Wei Du, Yuan Jiang, Liupu Wang |
| 2024 | AAAI | MEPSI: An MDL-Based Ensemble Pruning Approach with Structural Information. | Xiao-Dong Bi, Shao-Qun Zhang, Yuan Jiang |
| 2024 | AAAI | Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees. | Lue Tao, Yu-Xuan Huang, Wang-Zhou Dai, Yuan Jiang |
| 2024 | ICML | 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 |
| 2024 | MMSys | Accurate Bandwidth Prediction for Real-Time Media Streaming with Offline Reinforcement Learning. | Qingyue Tan, Gerui Lv, Xing Fang, Jiaxing Zhang, Zejun Yang, Yuan Jiang, Qinghua Wu |
| 2024 | VTC | Fully -/Partially-Connected Hybrid Beamforming for Multiuser mmWave MIMO Systems. | Xin Liu, Yuan Jiang, Lei Zhao, Liwei Liang |
| 2024 | VTC | Energy-Efficiency Maximization in Cellular D2D-Based V2X Networks with Statistical CSI. | Jing Lu, Yuan Jiang, Lei Zhao, Liwei Liang |
| 2024 | VTC | Off-Grid Channel Estimation for Uniform Planar Arrays Using Sparse Bayesian Learning. | Qijia Zhou, Yuan Jiang, Lei Zhao, Changjian Liu |
| 2023 | AAAI | Enabling Knowledge Refinement upon New Concepts in Abductive Learning. | Yu-Xuan Huang, Wang-Zhou Dai, Yuan Jiang, Zhi-Hua Zhou |
| 2023 | AISTATS | On the Consistency Rate of Decision Tree Learning Algorithms. | Qin-Cheng Zheng, Shen-Huan Lyu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou |
| 2023 | APCC | Weighted Sum Rate Optimization for Multi-User MIMO Cognitive Radio Systems. | Yongquan Chen, Yuan Jiang, Lei Zhao |
| 2023 | APCC | Preamble Design for LEO Satellite Communication System. | Yanzhao Wang, Yuan Jiang, Lei Zhao |
| 2023 | APCC | Low Complexity Hybrid Precoding Design for Sub-Connected Massive MIMO Systems. | Lei Zhao, Junjie Li, Yuan Jiang |
| 2023 | DSAA | Adaptive Clustered Federated Learning with Representation Similarity. | Chiyu Cai, Wei Wang, Yuan Jiang |
| 2023 | ECAI | Identifying Helpful Learnwares Without Examining the Whole Market. | Yi Xie, Zhi-Hao Tan, Yuan Jiang, Zhi-Hua Zhou |
| 2023 | ICLR | Seeing Differently, Acting Similarly: Heterogeneously Observable Imitation Learning. | Xin-Qiang Cai, Yao-Xiang Ding, Zi-Xuan Chen, Yuan Jiang, Masashi Sugiyama, Zhi-Hua Zhou |
| 2023 | IJCAI | 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 |
| 2023 | IJCAI | Handling Learnwares Developed from Heterogeneous Feature Spaces without Auxiliary Data. | Peng Tan, Zhi-Hao Tan, Yuan Jiang, Zhi-Hua Zhou |
| 2023 | MICCAI | A Multi-task Method for Immunofixation Electrophoresis Image Classification. | 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 | UAI | Multi-view graph contrastive learning for solving vehicle routing problems. | Yuan Jiang, Zhiguang Cao, Yaoxin Wu, Jie Zhang |
| 2022 | AAAI | Learning to Solve Routing Problems via Distributionally Robust Optimization. | Yuan Jiang, Yaoxin Wu, Zhiguang Cao, Jie Zhang |
| 2022 | ICASSP | Improving Recognition-Synthesis Based any-to-one Voice Conversion with Cyclic Training. | Yan-Nian Chen, Li-Juan Liu, Ya-Jun Hu, Yuan Jiang, Zhen-Hua Ling |
| 2022 | ICASSP | Neural Grapheme-To-Phoneme Conversion with Pre-Trained Grapheme Models. | Lu Dong, Zhiqiang Guo, Chao-Hong Tan, Ya-Jun Hu, Yuan Jiang, Zhen-Hua Ling |
| 2022 | KDD | Adaptive Learning for Weakly Labeled Streams. | Zhen-Yu Zhang, Yu-Yang Qian, Yu-Jie Zhang, Yuan Jiang, Zhi-Hua Zhou |
| 2022 | UIC | Capturing High-order Interactions for Interest-aware News Recommendation. | Jiadong Yuan, Shanliang Pan, Yuanyuan Zhang, Yuan Jiang, Chen Chen, Hongzhuo Wu |
| 2021 | AAAI | Isolation Graph Kernel. | Bi-Cun Xu, Kai Ming Ting, Yuan Jiang |
| 2021 | ICDM | Improving Deep Forest by Exploiting High-order Interactions. | Yi-He Chen, Shen-Huan Lyu, Yuan Jiang |
| 2021 | ICDM | LIFE: Learning Individual Features for Multivariate Time Series Prediction with Missing Values. | Zhao-Yu Zhang, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou |
| 2021 | IJCAI | Abductive Learning with Ground Knowledge Base. | Le-Wen Cai, Wang-Zhou Dai, Yu-Xuan Huang, Yufeng Li, Stephen H. Muggleton, Yuan Jiang |
| 2021 | ISSRE | Vu1SPG: Vulnerability detection based on slice property graph representation learning. | Weining Zheng, Yuan Jiang, Xiaohong Su |
| 2021 | SDM | Reconstruction-based Anomaly Detection with Completely Random Forest. | Yi-Xuan Xu, Ming Pang, Ji Feng, Kai Ming Ting, Yuan Jiang, Zhi-Hua Zhou |
| 2020 | AISTATS | A Simple Approach for Non-stationary Linear Bandits. | Peng Zhao, Lijun Zhang, Yuan Jiang, Zhi-Hua Zhou |
| 2020 | ECAI | Multi-Label Learning with Deep Forest. | Liang Yang, Xi-Zhu Wu, Yuan Jiang, Zhi-Hua Zhou |
| 2020 | ICML | Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data. | Lan-Zhe Guo, Zhenyu Zhang, Yuan Jiang, Yufeng Li, Zhi-Hua Zhou |
| 2020 | ICML | Learning with Feature and Distribution Evolvable Streams. | Zhenyu Zhang, Peng Zhao, Yuan Jiang, Zhi-Hua Zhou |
| 2019 | AAAI | Multi-View Anomaly Detection: Neighborhood in Locality Matters. | Xiang-Rong Sheng, De-Chuan Zhan, Su Lu, Yuan Jiang |
| 2019 | AAAI | Deep Robust Unsupervised Multi-Modal Network. | Yang Yang, Yi-Feng Wu, De-Chuan Zhan, Zhi-Bin Liu, Yuan Jiang |
| 2019 | ACSSC | Adaptive Signal Detection in Subspace Interference with Uncertain Prior Knowledge. | Yuan Jiang, Hongbin Li, Muralidhar Rangaswamy |
| 2019 | ICASSP | Improving Sequence-to-sequence Voice Conversion by Adding Text-supervision. | Jing-Xuan Zhang, Zhen-Hua Ling, Yuan Jiang, Li-Juan Liu, Chen Liang, Li-Rong Dai |
| 2019 | ICDM | Nearest Neighbor Ensembles: An Effective Method for Difficult Problems in Streaming Classification with Emerging New Classes. | Xin-Qiang Cai, Peng Zhao, Kai-Ming Ting, Xin Mu, Yuan Jiang |
| 2019 | IJCAI | Comprehensive Semi-Supervised Multi-Modal Learning. | Yang Yang, Ke-Tao Wang, De-Chuan Zhan, Hui Xiong, Yuan Jiang |
| 2019 | KDD | Adaptive Deep Models for Incremental Learning: Considering Capacity Scalability and Sustainability. | Yang Yang, Da-Wei Zhou, De-Chuan Zhan, Hui Xiong, Yuan Jiang |
| 2019 | KDD | Learning from Incomplete and Inaccurate Supervision. | Zhenyu Zhang, Peng Zhao, Yuan Jiang, Zhi-Hua Zhou |
| 2018 | AAAI | Dual Set Multi-Label Learning. | Chong Liu, Peng Zhao, Sheng-Jun Huang, Yuan Jiang, Zhi-Hua Zhou |
| 2018 | ICML | Rectify Heterogeneous Models with Semantic Mapping. | Han-Jia Ye, De-Chuan Zhan, Yuan Jiang, Zhi-Hua Zhou |
| 2018 | IJCAI | Semi-Supervised Multi-Modal Learning with Incomplete Modalities. | Yang Yang, De-Chuan Zhan, Xiang-Rong Sheng, Yuan Jiang |
| 2018 | Interspeech | WaveNet Vocoder with Limited Training Data for Voice Conversion. | Li-Juan Liu, Zhen-Hua Ling, Yuan Jiang, Ming Zhou, Li-Rong Dai |
| 2018 | KDD | Complex Object Classification: A Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Transport. | Yang Yang, Yi-Feng Wu, De-Chuan Zhan, Zhi-Bin Liu, Yuan Jiang |
| 2018 | PAKDD | Multi-network User Identification via Graph-Aware Embedding. | Yang Yang, De-Chuan Zhan, Yi-Feng Wu, Yuan Jiang |
| 2018 | PRICAI | Multi-label Crowdsourcing Learning with Incomplete Annotations. | Shao-Yuan Li, Yuan Jiang |
| 2018 | PRICAI | Deep Multi-modal Learning with Cascade Consensus. | Yang Yang, Yi-Feng Wu, De-Chuan Zhan, Yuan Jiang |
| 2017 | AAAI | Deep Learning for Fixed Model Reuse. | Yang Yang, De-Chuan Zhan, Ying Fan, Yuan Jiang, Zhi-Hua Zhou |
| 2017 | ACML | Instance Specific Discriminative Modal Pursuit: A Serialized Approach. | Yang Yang, De-Chuan Zhan, Ying Fan, Yuan Jiang |
| 2017 | ASRU | The iFLYTEK system for blizzard machine learning challenge 2017-ES1. | Li-Juan Liu, Chuang Ding, Ya-Jun Hu, Zhen-Hua Ling, Yuan Jiang, Ming Zhou, Si Wei |
| 2017 | ICCV | Multi-stage Multi-recursive-input Fully Convolutional Networks for Neuronal Boundary Detection. | Wei Shen, Bin Wang, Yuan Jiang, Yan Wang, Alan L. Yuille |
| 2017 | ICIP | Shape recognition by bag of contour fragments with a learned pooling function. | Wei Shen, Wenjing Gao, Yuan Jiang, Dan Zeng, Zhijiang Zhang |
| 2017 | IJCAI | 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 |
| 2017 | IJCAI | Modal Consistency based Pre-Trained Multi-Model Reuse. | Yang Yang, De-Chuan Zhan, Xiang-Yu Guo, Yuan Jiang |
| 2017 | IJCAI | Learning Mahalanobis Distance Metric: Considering Instance Disturbance Helps. | Han-Jia Ye, De-Chuan Zhan, Xue-Min Si, Yuan Jiang |
| 2017 | IJCAI | Multimodal Linear Discriminant Analysis via Structural Sparsity. | Yu Zhang, Yuan Jiang |
| 2017 | PAKDD | Multi-View Matrix Completion for Clustering with Side Information. | Peng Zhao, Yuan Jiang, Zhi-Hua Zhou |
| 2016 | AAAI | Instance Specific Metric Subspace Learning: A Bayesian Approach. | Han-Jia Ye, De-Chuan Zhan, Yuan Jiang |
| 2016 | ACML | Learning Feature Aware Metric. | Han-Jia Ye, De-Chuan Zhan, Xue-Min Si, Yuan Jiang |
| 2016 | CVPR | 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 |
| 2016 | ICDM | College Student Scholarships and Subsidies Granting: A Multi-modal Multi-label Approach. | Han-Jia Ye, De-Chuan Zhan, Xiaolin Li, Zhen-Chuan Huang, Yuan Jiang |
| 2016 | IJCAI | Learning by Actively Querying Strong Modal Features. | Yang Yang, De-Chuan Zhan, Yuan Jiang |
| 2016 | Interspeech | The USTC System for Voice Conversion Challenge 2016: Neural Network Based Approaches for Spectrum, Aperiodicity and F | Ling-Hui Chen, Li-Juan Liu, Zhen-Hua Ling, Yuan Jiang, Li-Rong Dai |
| 2015 | ACML | Preference Relation-based Markov Random Fields for Recommender Systems. | Shaowu Liu, Gang Li, Truyen Tran, Yuan Jiang |
| 2015 | CIKM | Rank Consistency based Multi-View Learning: A Privacy-Preserving Approach. | Han-Jia Ye, De-Chuan Zhan, Yuan Miao, Yuan Jiang, Zhi-Hua Zhou |
| 2015 | IJCAI | Auxiliary Information Regularized Machine for Multiple Modality Feature Learning. | Yang Yang, Han-Jia Ye, De-Chuan Zhan, Yuan Jiang |
| 2014 | AAAI | Partial Multi-View Clustering. | Shao-Yuan Li, Yuan Jiang, Zhi-Hua Zhou |
| 2014 | ACML | Learning with Augmented Multi-Instance View. | Yue Zhu, Jianxin Wu, Yuan Jiang, Zhi-Hua Zhou |
| 2013 | IJCAI | Multi-Instance Multi-Label Learning with Weak Label. | Shu-Jun Yang, Yuan Jiang, Zhi-Hua Zhou |
| 2012 | AAAI | Towards Discovering What Patterns Trigger What Labels. | Yufeng Li, Ju-Hua Hu, Yuan Jiang, Zhi-Hua Zhou |
| 2012 | ACCV | Disagreement-Based Multi-system Tracking. | Quannan Li, Xinggang Wang, Wei Wang, Yuan Jiang, Zhi-Hua Zhou, Zhuowen Tu |
| 2011 | AAAI | Localized K-Flats. | Yong Wang, Yuan Jiang, Yi Wu, Zhi-Hua Zhou |
| 2011 | IJCAI | Local and Structural Consistency for Multi-Manifold Clustering. | Yong Wang, Yuan Jiang, Yi Wu, Zhi-Hua Zhou |
| 2010 | PRICAI | Multi-manifold Clustering. | Yong Wang, Yuan Jiang, Yi Wu, Zhi-Hua Zhou |
| 2009 | ICDM | Least Square Incremental Linear Discriminant Analysis. | Li-Ping Liu, Yuan Jiang, Zhi-Hua Zhou |
| 2009 | PAKDD | Budget Semi-supervised Learning. | Zhi-Hua Zhou, Michael K. Ng, Qiao-Qiao She, Yuan Jiang |
| 2008 | ICDM | TEFE: A Time-Efficient Approach to Feature Extraction. | Li-Ping Liu, Yang Yu, Yuan Jiang, Zhi-Hua Zhou |
| 2006 | PAKDD | Generation of Comprehensible Hypotheses from Gene Expression Data. | Yuan Jiang, Ming Li, Zhi-Hua Zhou |
| 2004 | ISNN | Editing Training Data for kNN Classifiers with Neural Network Ensemble. | Yuan Jiang, Zhi-Hua Zhou |
| 2002 | GLOBECOM | Joint channel equalization and radio frequency interference suppression for DMT using equation-error approach. | Yuan Jiang |
| 2001 | IJCAI | Genetic Algorithm based Selective Neural Network Ensemble. | Zhi-Hua Zhou, Jianxin Wu, Yuan Jiang, Shifu Chen |