| 2026 | WSDM | Sharpness-aware Federated Graph Learning. | Ruiyu Li, Peige Zhao, Guangxia Li, Pengcheng Wu, Xingyu Gao, Zhiqiang Xu |
| 2025 | IJCAI | Learning to Explain: Towards Human-Aligned Explainability in Deep Reinforcement Learning via Attention Guidance. | Bokai Ji, Guangxia Li, Yulong Shen, Gang Xiao |
| 2025 | VTC | Matching Game Based Robust Service Recovery in Space-Air-Ground Integrated Network. | Yilu Cao, Ziye Jia, Lijun He, Kun Guo, Guangxia Li, Qihui Wu |
| 2025 | VTC | QoS-Guarantee Resource Allocation of Slicing Services in Integrated Satellite-Terrestrial Networks Based on Deep Reinforcement Learning. | Siying Hu, Xiaoqin Song, Ruizheng Ye, Guangxia Li, Jian Cheng |
| 2025 | WWW | Training-free Graph Anomaly Detection: A Simple Approach via Singular Value Decomposition. | Cheng Zhou, Guangxia Li, Hao Weng, Yiyu Xiang |
| 2024 | ICASSP | A Simple and Effective Method for Anomaly Detection on Attributed Graphs via Feature Consistency. | Cheng Zhou, Guangxia Li, Yulong Shen |
| 2024 | ISCC | A Context Augmented Multi-Play Multi-Armed Bandit Algorithm for Fast Channel Allocation in Opportunistic Spectrum Access. | Ruiyu Li, Guangxia Li, Xiao Lu, Jichao Liu, Yan Jin |
| 2023 | ICANN | Enhancing the Interpretability of Deep Multi-agent Reinforcement Learning via Neural Logic Reasoning. | Bokai Ji, Guangxia Li, Gang Xiao |
| 2022 | ICANN | Towards Relational Multi-Agent Reinforcement Learning via Inductive Logic Programming. | Guangxia Li, Gang Xiao, Junbo Zhang, Jia Liu, Yulong Shen |
| 2022 | KSEM | Dual Adversarial Federated Learning on Non-IID Data. | Tao Zhang, Shaojing Yang, Anxiao Song, Guangxia Li, Xuewen Dong |
| 2017 | WCNC | A Cloud-Based Stream Processing Platform for Traffic Monitoring Using Large-Scale Probe Vehicle Data. | Yiyang Pei, Xiaoyang Li, Liang Yu, Guangxia Li, Hai-Heng Ng, Jerry Kah Eng Hoe, Chee-Wei Ang, Wee Siong Ng, Kenji Takao, Hirokazu Shibata, Koichiro Okada |
| 2016 | EMNLP | Deceptive Review Spam Detection via Exploiting Task Relatedness and Unlabeled Data. | Zhen Hai, Peilin Zhao, Peng Cheng, Peng Yang, Xiaoli Li, Guangxia Li |
| 2016 | SDM | Learning Correlative and Personalized Structure for Online Multi-Task Classification. | Peng Yang, Guangxia Li, Peilin Zhao, Xiaoli Li, Sujatha Das Gollapalli |
| 2011 | CIKM | Collaborative online learning of user generated content. | Guangxia Li, Kuiyu Chang, Steven C. H. Hoi, Wenting Liu, Ramesh C. Jain |
| 2011 | SiggraphA | VisBubbles: a workflow-driven framework for scientific data analysis of time-varying biological datasets. | Guangxia Li, Andrew Bragdon, Zhigeng Pan, Mingmin Zhang, Sharon M. Swartz, David H. Laidlaw, Chaoyang Zhang, Hanyu Liu, Jian Chen |
| 2010 | CW | Fast and Simple Super Resolution for Range Data. | Xueqin Xiang, Guangxia Li, Jing Tong, Zhigeng Pan |
| 2010 | ICDM | Micro-blogging Sentiment Detection by Collaborative Online Learning. | Guangxia Li, Steven C. H. Hoi, Kuiyu Chang, Ramesh C. Jain |
| 2010 | SDM | Two-View Transductive Support Vector Machines. | Guangxia Li, Steven C. H. Hoi, Kuiyu Chang |