| 2026 | ICDCS | FedRFF: Enhanced Federated Random Fourier Feature Framework for IoT Anomaly Detection. | Chaoqun Li, Tao Luo, Keyuan Qiu, Jinyao Liu, Xianglong Zhang, Huanle Zhang, Si Wu, Feng Li, Pengfei Hu |
| 2026 | Mobisys | CloudClaw: A Recoverable Execution Substrate for Multi-Tenant LLM Agents. | Jinyao Liu, Si Wu, Mingda Han, Tianxing Li, Shuai Bai, Chaoqun Li, Shaowei Li, Pengfei Hu |
| 2026 | WWW | BeeQoS: A Cloud-Native QoS System for Adaptive and Scalable Multi-Priority Bandwidth Guarantees. | Jinyao Liu, Si Wu, Haoyuan Ma, Chaoqun Li, Hongjing Yu, Dingyi Jia, Feng Li, Pengfei Hu |
| 2026 | WWW | CEAT: Context-Emotion Adversarial Training Framework for Robust Emotion-Driven Fraud Detection. | Chaoqun Li, Si Wu, Yijun Lu, Yuyin Ma, Jinyao Liu, Dingyi Jia, Mingda Han, Feng Li, Pengfei Hu |
| 2025 | HCI | Optimized Dataset Classification Design for Design-Oriented LoRA Models: A Case Study of the Red Dot Award. | Chaoqun Li, Linxi Wang, Han Yan, Ruixin Hu, Zheng Zhang, Erlu Ni, Tao Han |
| 2025 | ICDCS | TSAJS: Efficient Multi-Server Joint Task Scheduling Scheme for Mobile Edge Computing. | Chaoqun Li, Rongsheng Fan, Hesong Wang, Mingda Han, Si Wu, Feng Li, Pengfei Hu |
| 2025 | ICDCS | Arsc: Automated Reconciliation for State Correctness of Cluster Management. | Hongjing Yu, Chaoqun Li, Tao Han, Pengfei Hu |
| 2025 | ICML | TLLC: Transfer Learning-based Label Completion for Crowdsourcing. | Wenjun Zhang, Liangxiao Jiang, Chaoqun Li |
| 2025 | ICML | Label Distribution Propagation-based Label Completion for Crowdsourcing. | Tong Wu, Liangxiao Jiang, Wenjun Zhang, Chaoqun Li |
| 2024 | UAI | Label Consistency-based Worker Filtering for Crowdsourcing. | Jiao Li, Liangxiao Jiang, Chaoqun Li, Wenjun Zhang |
| 2022 | CSCWD | A Byte-level Autoencoder-based Method to Detect Malicious Open Resolver. | Chaoqun Li, Liang Dai, Delin Kong, Zhen Xu, Yanni Han |
| 2021 | HPCC | A Message-Based Malicious Detection Scheme of Public DNS Services. | Chaoqun Li, Liang Dai, Zhen Xu, Ying Ding, Yanni Han |
| 2021 | ISCC | Security Analysis of DNS Open Resolvers by Continuous and Ambulatory Detection. | Chaoqun Li, Qian Tan, Zhen Xu, Xi Luo, Liang Dai |
| 2016 | ICANN | C4.5 or Naive Bayes: A Discriminative Model Selection Approach. | Lungan Zhang, Liangxiao Jiang, Chaoqun Li |
| 2014 | ICANN | A CFS-Based Feature Weighting Approach to Naive Bayes Text Classifiers. | Shasha Wang, Liangxiao Jiang, Chaoqun Li |
| 2013 | ICTAI | Sampled Bayesian Network Classifiers for Class-Imbalance and Cost-Sensitive Learning. | Liangxiao Jiang, Chaoqun Li, Zhihua Cai, Harry Zhang |
| 2013 | ICTAI | Attribute Weighted Value Difference Metric. | Chaoqun Li, Liangxiao Jiang, Hongwei Li, Shasha Wang |
| 2006 | PRICAI | Using Locally Weighted Learning to Improve SMOreg for Regression. | Chaoqun Li, Liangxiao Jiang |