| 2026 | ISKE | Resource-Efficient Safety-Critical Control for Uncertain Nonlinear Systems and Application to Adaptive Cruise Control. | Liqi Wang, Shan Xue, Bo Xu, Guangliang Liu, Siling Feng, Weidong Zhang |
| 2026 | ISKE | LLM-Enhanced Multi-granularity Hierarchical Perception in Temporal Knowledge Graph Completion. | Chaohong Wu, Siling Feng, Shan Xue, Liqi Wang, Weigang Kong |
| 2026 | WWW | LHG: LLM-enhanced and Heterogeneous Graph-induced for Unsupervised Social Event Detection. | Zitai Qiu, Rongwei Xu, Congbo Ma, Shan Xue, Jian Yang, Guanfeng Liu, Quan Z. Sheng, Amin Beheshti, Jia Wu |
| 2026 | WWW | Revisiting Graph-Level Anomaly Detection: From Partially to Fully Unsupervised Learning. | Zhenyu Yang, Ge Zhang, Shan Xue, Xiaoxiao Ma, Jian Yang, Hao Peng, Amin Beheshti, Jia Wu |
| 2026 | WWW | PIGCN: Physics-Inspired Graph Convolution Networks for Heterogeneous Social Event Detection. | Yongsheng Yu, Congbo Ma, Zitai Qiu, Shan Xue, Jian Yang, Jia Wu |
| 2025 | AAAI | Adaptive Market Making with Inventory Constraints via Online Learning. | Shan Xue, Ye Du, Liang Xu |
| 2025 | KDD | Global Interpretable Graph-level Anomaly Detection via Prototype. | Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Hao Peng, Quan Z. Sheng |
| 2025 | SMC | Empowering Audiobook Creation: An LLM-Powered Interactive System for Soundscape Design. | Shan Xue, Hajime Nobuhara |
| 2025 | WWW | A Multiagent-based Framework on RoboCup Simulation System for Enhancing Rescue Operation during Dynamic Disaster Environments. | Qihua Lyu, Xin Cao, Yongsheng Yu, Shan Xue, Jian Yang, Jia Wu, Amin Beheshti |
| 2025 | WWW | Enhanced Social Event Detection through Dynamically Weighted Meta-Paths Modeling. | Congbo Ma, Zitai Qiu, Hu Wang, Jing Du, Shan Xue, Jia Wu, Jian Yang |
| 2025 | WSDM | Self-supervised Time-aware Heterogeneous Hypergraph Learning for Dynamic Graph-level Classification. | Malik Khizar Hayat, Shan Xue, Jia Wu, Bilal Khan, Jian Yang |
| 2024 | ADMA | BiF-AC: A Bidirectional Feedback Actor-Critic Framework for UAV-UGV Graph-Based Search and Rescue Operations. | Xin Cao, He Luo, Guoqiang Wang, Shan Xue, Jian Yang, Jia Wu, Amin Beheshti |
| 2024 | ICDM | Counterfactual Brain Graph Augmentation Guided Bi-Level Contrastive Learning for Disorder Analysis. | Guangwei Dong, Xuexiong Luo, Jing Du, Jia Wu, Shan Xue, Jian Yang, Amin Beheshti |
| 2024 | IJCAI | Graph Neural Networks for Brain Graph Learning: A Survey. | Xuexiong Luo, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Quan Z. Sheng, David McAlpine, Paul F. Sowman, Alexis Giral, Philip S. Yu |
| 2024 | ICWS | A Debiased Graph Clustering Approach Using Dual Contrastive Learning. | Kuang Gao, Mukun Chen, Chuang Liu, Shan Xue, Zhenyu Qiu, Ting Ren, Xiaohua Jia, Wenbin Hu |
| 2024 | MICCAI | Distributionally-Adaptive Variational Meta Learning for Brain Graph Classification. | Jing Du, Guangwei Dong, Congbo Ma, Shan Xue, Jia Wu, Jian Yang, Amin Beheshti, Quan Z. Sheng, Alexis Giral |
| 2024 | WISE | Time Distance Aware for Multi-component Graph Collaborative Filtering. | Tseesuren Batsuuri, Shan Xue, Jian Yang, Jia Wu |
| 2024 | WSDM | An Interpretable Brain Graph Contrastive Learning Framework for Brain Disorder Analysis. | Xuexiong Luo, Guangwei Dong, Jia Wu, Amin Beheshti, Jian Yang, Shan Xue |
| 2023 | AAAI | Tighter Robust Upper Bounds for Options via No-Regret Learning. | Shan Xue, Ye Du, Liang Xu |
| 2023 | ADMA | Discriminative Graph-Level Anomaly Detection via Dual-Students-Teacher Model. | Fu Lin, Xuexiong Luo, Jia Wu, Jian Yang, Shan Xue, Zitong Wang, Haonan Gong |
| 2023 | ICDM | Self-supervised Heterogeneous Hypergraph Learning with Context-aware Pooling for Graph-level Classification. | Malik Khizar Hayat, Shan Xue, Jian Yang |
| 2023 | ICONIP | Event-Triggered Constrained H | Shan Xue, Biao Luo, Derong Liu, Dongsheng Guo |
| 2023 | ICWS | ProcessGPT: Transforming Business Process Management with Generative Artificial Intelligence. | Amin Beheshti, Jian Yang, Quan Z. Sheng, Boualem Benatallah, Fabio Casati, Schahram Dustdar, Hamid Reza Motahari-Nezhad, Xuyun Zhang, Shan Xue |
| 2023 | WISE | Enhancing Trust Prediction in Attributed Social Networks with Self-Supervised Learning. | Hongjiao Liu, Shan Xue, Jian Yang, Jia Wu |
| 2023 | WSDM | Minimum Entropy Principle Guided Graph Neural Networks. | Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Quan Z. Sheng, Hao Peng, Angsheng Li, Shan Xue, Jianlin Su |
| 2023 | SSDBM | Heterogeneous Graph Neural Network via Knowledge Relations for Fake News Detection. | Bingbing Xie, Xiaoxiao Ma, Jia Wu, Jian Yang, Shan Xue, Hao Fan |
| 2022 | ICDM | DAGAD: Data Augmentation for Graph Anomaly Detection. | Fanzhen Liu, Xiaoxiao Ma, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu C. Aggarwal |
| 2022 | ICSOC | PD-SRS: Personalized Diversity for a Fair Session-Based Recommendation System. | Naime Ranjbar Kermany, Luiz Pizzato, Jian Yang, Shan Xue, Jia Wu |
| 2022 | WSDM | ComGA: Community-Aware Attributed Graph Anomaly Detection. | Xuexiong Luo, Jia Wu, Amin Beheshti, Jian Yang, Xiankun Zhang, Yuan Wang, Shan Xue |
| 2021 | ICDM | FRAUDRE: Fraud Detection Dual-Resistant to Graph Inconsistency and Imbalance. | Ge Zhang, Jia Wu, Jian Yang, Amin Beheshti, Shan Xue, Chuan Zhou, Quan Z. Sheng |
| 2020 | IJCAI | Deep Learning for Community Detection: Progress, Challenges and Opportunities. | Fanzhen Liu, Shan Xue, Jia Wu, Chuan Zhou, Wenbin Hu, Ccile Paris, Surya Nepal, Jian Yang, Philip S. Yu |
| 2019 | IJCNN | Correlation Filter Tracking Method via Metric Learning and Adaptive Multi-stage Appearance. | Yan Hong, Jing Li, Yafu Xiao, Wenfan Zhang, Chengfang Song, Shan Xue |
| 2018 | ICONIP | Event-Triggered Adaptive Dynamic Programming for Continuous-Time Nonlinear Two-Player Zero-Sum Game. | Shan Xue, Biao Luo, Derong Liu, Yueheng Li |
| 2018 | IJCNN | A Framework of Transferring Structures Across Large-scale Information Networks. | Shan Xue, Jie Lu, Guangquan Zhang, Li Xiong |
| 2017 | ICIG | Object Tracking Based on Multi-modality Dictionary Learning. | Jing Wang, Hong Zhu, Shan Xue, Jing Shi |
| 2016 | ADMA | Global Recursive Based Node Importance Evaluation. | Lu Zhao, Li Xiong, Shan Xue |
| 2016 | IJCNN | Multi-instance graphical transfer clustering for traffic data learning. | Shan Xue, Jie Lu, Jia Wu, Guangquan Zhang, Li Xiong |
| 2015 | ICONIP | SEIR Immune Strategy for Instance Weighted Naive Bayes Classification. | Shan Xue, Jie Lu, Guangquan Zhang, Li Xiong |
| 2015 | ISKE | Heterogeneous Feature Space Based Task Selection Machine for Unsupervised Transfer Learning. | Shan Xue, Jie Lu, Guangquan Zhang, Li Xiong |
| 2014 | AISTATS | Dynamic Resource Allocation for Optimizing Population Diffusion. | Shan Xue, Alan Fern, Daniel Sheldon |
| 2012 | AAAI | Scheduling Conservation Designs via Network Cascade Optimization. | Shan Xue, Alan Fern, Daniel Sheldon |
| 2012 | ISNN | Neuroadaptive Speed Assistance Control of Wind Turbine with Variable Ratio Gearbox (VRG). | Xuefei Wang, Yong-Duan Song, Dan-Yong Li, Kai Zhang, Shan Xue, Ming Qin |