| 2026 | AAAI | Blur-Robust Detection via Feature Restoration: An End-to-End Framework for Prior-Guided Infrared UAV Target Detection. | Xiaolin Wang, Houzhang Fang, Qingshan Li, Lu Wang, Yi Chang, Luxin Yan |
| 2026 | DASFAA | PreFact: Knowledge Propagation Regulating Network Toward Preferred Facts for Knowledge-Aware Recommendation. | Chengyu Feng, Hua Chu, Yangtao Zhou, Zhenjiang Ding, Jianan Li, Qingshan Li, Xiangming Li, Zhongqi Lu, Wanqiang Yang |
| 2026 | DASFAA | SeeKRec: Toward Semantic-Empowered Knowledge-Aware Recommendation. | Xiangming Li, Qingshan Li, Hua Chu, Yangtao Zhou, Jianan Li, Wanqiang Yang |
| 2026 | WSDM | A Spectral Heterogeneous Diffusion Framework for Knowledge-aware Recommendation. | Xiangming Li, Hua Chu, Chengyu Feng, Jianan Li, Yangtao Zhou, Qingshan Li, Wanqiang Yang |
| 2025 | CVPR | Detection-Friendly Nonuniformity Correction: A Union Framework for Infrared UAV Target Detection. | Houzhang Fang, Xiaolin Wang, Zengyang Li, Lu Wang, Qingshan Li, Yi Chang, Luxin Yan |
| 2025 | ICASSP | Dual Multi-Scale GCN with Deformable Temporal Kernel for Skeleton-based Action Recognition. | Jianan Li, Yangtao Zhou, Hua Chu, Han Wang, Zhifu Zhao, Fei Li, Qingshan Li |
| 2025 | ICDM | Contrastive Reinforcement Learning for Robust Anomaly Detection with Limited Labels. | Zihao Li, Han Wang, Yingying Hu, Jianan Li, Fei Li, Qingshan Li |
| 2025 | ICWS | DistriAD: Distributed Anomaly Detection for Large-Scale Microservice Systems. | Yaxiao Li, Qingshan Li, Chenxi Zhang, Lu Wang, Chenyi Wang, Zhongliang Bai, Haixing Luo, Tianyuan Gao, Kun Ma, Lingfeng Pan |
| 2024 | CogSci | Multi-Agent Communication With Multi-Modal Information Fusion. | Han Wang, Yufeng Xie, BingCheng He, Qingshan Li |
| 2024 | ICANN | Speeding up Meta-exploration via Latent Representation. | BingCheng He, Han Wang, Qingshan Li |
| 2024 | ICASSP | Self-Supervised Reinforcement Learning for Out-of-Distribution Recovery via Auxiliary Reward. | Yufeng Xie, Yinan Wang, Han Wang, Qingshan Li |
| 2024 | ISSTA | One-to-One or One-to-Many? Suggesting Extract Class Refactoring Opportunities with Intra-class Dependency Hypergraph Neural Network. | Di Cui, Qiangqiang Wang, Yutong Zhao, Jiaqi Wang, Minjie Wei, Jingzhao Hu, Luqiao Wang, Qingshan Li |
| 2024 | ISSTA | HECS: A Hypergraph Learning-Based System for Detecting Extract Class Refactoring Opportunities. | Luqiao Wang, Qiangqiang Wang, Jiaqi Wang, Yutong Zhao, Minjie Wei, Zhou Quan, Di Cui, Qingshan Li |
| 2022 | ESEM | Towards Demystifying the Impact of Dependency Structures on Bug Locations in Deep Learning Libraries. | Di Cui, Xingyu Li, Feiyang Liu, Siqi Wang, Jie Dai, Lu Wang, Qingshan Li |
| 2020 | ISSTA | EShield: protect smart contracts against reverse engineering. | Wentian Yan, Jianbo Gao, Zhenhao Wu, Yue Li, Zhi Guan, Qingshan Li, Zhong Chen |
| 2019 | ICSE | EasyFlow: keep ethereum away from overflow. | Jianbo Gao, Han Liu, Chao Liu, Qingshan Li, Zhi Guan, Zhong Chen |
| 2019 | SEKE | Self-Adaptive software changes analysis method based on "Detection-Recognition" Mechanism (S). | He Zhang, Qingshan Li, Lu Wang, Wen Cheng |
| 2018 | SEKE | A Personalized Metasearch Engine Based on Multi-agent System (P). | Meijia Wang, Qingshan Li, Yishuai Lin |
| 2016 | ICOST | A Scalable Clinical Intelligent Decision Support System. | Hua Chu, Yijing Yang, Qingshan Li, Yongfei Xu, Hongpeng Wei |
| 2016 | SEKE | MABT - a multiagent-based toolkit for transforming existing systems into self-adaptive systems. | Lu Wang, Qingshan Li, Yishuai Lin, Hua Chu |
| 2015 | COMPSAC | An Agent-Based Self-Adaptive Mechanism with Reinforcement Learning. | Danni Yu, Qingshan Li, Lu Wang, Yishuai Lin |
| 2014 | ICNC | Event-based evolution mechanism in dynamic environment for multi-agent system. | Qingshan Li, Hua Chu, Liang Diao, Lihang Zhang |
| 2014 | SecureComm | Domain Algorithmically Generated Botnet Detection and Analysis. | Xiaolin Xu, Yonglin Zhou, Qingshan Li |
| 2008 | COMPSAC | A Contract Net Model Based on Agent Active Perception. | Meisheng Wang, Qingshan Li, Chenguang Zhao, Yingqiang Wang |