| 2025 | HPCC | DebateNav: Structured Multi-VLM Expert Debate for Robust Zero-Shot Object Navigation. | Henghui Sun, Weixing Tan, Lei Liu, Zhongmin Yan, Xudong Lu, Hongjun Dai |
| 2025 | HPCC | A Hybrid Pipeline and Large Language Model System for Task-Oriented Dialogue. | Yihan Zheng, Weixing Tan, Qian Li, Lei Liu, Zhongmin Yan, Hongjun Dai |
| 2024 | IJCNN | MicroHFRCL: A History Faults Based Root Cause Localization Framework in Microservice Systems. | Leyao Zhang, Yuliang Shi, Kaiyuan Qi, Dong Wu, Xinjun Wang, Zhongmin Yan, Zhiyong Chen |
| 2024 | TrustCom | Achieving Trusted GPU Allocation: An Empirical Study on Efficiency Changes of Deep Learning Training Tasks. | Ziheng Zhang, Lei Liu, Zhongmin Yan |
| 2023 | AAAI | Long-Tail Cross Modal Hashing. | Zijun Gao, Jun Wang, Guoxian Yu, Zhongmin Yan, Carlotta Domeniconi, Jinglin Zhang |
| 2023 | APSEC | Test Case Level Predictive Mutation Testing Combining PIE and Natural Language Features. | Rui Xu, Yuliang Shi, Zhiyuan Su, Xinjun Wang, Zhongmin Yan, Fanyu Kong |
| 2023 | APSEC | FSFP: A Fine-Grained Online Service System Performance Fault Prediction Method Based on Cross-attention. | Nanfei Yang, Yuliang Shi, Zhiyuan Su, Xinjun Wang, Zhongmin Yan, Fanyu Kong |
| 2023 | DASFAA | Sample and Feature Enhanced Few-Shot Knowledge Graph Completion. | Kai Zhang, Daokun Zhang, Ning Liu, Yonghua Yang, Yonghui Xu, Zhongmin Yan, Hui Li, Lizhen Cui |
| 2023 | GLOBECOM | FedADP: Communication-Efficient by Model Pruning for Federated Learning. | Haiyang Liu, Yuliang Shi, Zhiyuan Su, Kun Zhang, Xinjun Wang, Zhongmin Yan, Fanyu Kong |
| 2023 | IJCNN | Multi-View Graph Contrastive Learning for Urban Region Representation. | Yu Zhang, Yonghui Xu, Lizhen Cui, Zhongmin Yan |
| 2023 | IWQoS | Proactive Auto-scaling For Delay-sensitive Service Providers Over Public Clouds. | Weimeng Wang, Lei Liu, Zhongmin Yan |
| 2023 | SIGIR | Mixed-Curvature Manifolds Interaction Learning for Knowledge Graph-aware Recommendation. | Jihu Wang, Yuliang Shi, Han Yu, Xinjun Wang, Zhongmin Yan, Fanyu Kong |
| 2023 | SDM | Causal Discovery by Graph Attention Reinforcement Learning. | Dezhi Yang, Guoxian Yu, Jun Wang, Zhongmin Yan, Maozu Guo |
| 2022 | GLOBECOM | Research on Active Detection Method of Network Congestion. | Ran Zhang, Jian Zhang, Lei Liu, Zhongmin Yan, Mianxiong Dong |
| 2022 | ICDM | Few-shot Partial Multi-label Learning with Data Augmentation. | Yifan Sun, Yunfeng Zhao, Guoxian Yu, Zhongmin Yan, Carlotta Domeniconi |
| 2022 | IJCNN | MTSSP: Missing Value Imputation in Multivariate Time Series for Survival Prediction. | Bo Li, Yuliang Shi, Lin Cheng, Zhongmin Yan, Xinjun Wang, Hui Li |
| 2021 | ICDM | Few-Shot Partial Multi-Label Learning. | Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Carlotta Domeniconi, Lizhen Cui |
| 2021 | IJCAI | Few-Shot Partial-Label Learning. | Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Lizhen Cui, Carlotta Domeniconi |
| 2021 | SIGIR | DEKR: Description Enhanced Knowledge Graph for Machine Learning Method Recommendation. | Xianshuai Cao, Yuliang Shi, Han Yu, Jihu Wang, Xinjun Wang, Zhongmin Yan, Zhiyong Chen |
| 2020 | ISPA | Performance Modeling of a General GPS Scheduling Under Long Range Dependent Traffic. | Ran Zhang, Lei Liu, Xudong Lu, Zhongmin Yan, Hui Li |
| 2020 | ISPA | Multi-interest Aware Recommendation in CrowdIntell Network. | Yixin Zhang, Wei He, Lizhen Cui, Lei Liu, Zhongmin Yan |
| 2020 | ISPA | Encrypted Network Traffic Classification: A data driven approach. | Zhongkai Zhang, Lei Liu, Xudong Lu, Zhongmin Yan, Hui Li |
| 2019 | CSCWD | Feature Assessment and Classification of Diabetes Employing Concept Lattice. | Jing Hao, Yongqing Zheng, Chengyuan Xu, Zhongmin Yan, Hui Li |
| 2019 | CSCWD | Fraudster Detection Based on Modularity Optimization Algorithm. | Tingting Luan, Zhongmin Yan, Shidong Zhang |
| 2019 | CSCWD | Author Name Disambiguation Using Graph Node Embedding Method. | Wenjing Zhang, Zhongmin Yan, Yongqing Zheng |
| 2019 | ICWS | Promoting Higher Revenues for Both Crowdsourcer and Crowds in Crowdsourcing via Contest. | Song Xu, Lei Liu, Lizhen Cui, Qingzhong Li, Zhongmin Yan |
| 2018 | CSCWD | Fraud Detection of Medical Insurance Employing Outlier Analysis. | Jinfeng Peng, Qingzhong Li, Hui Li, Lei Liu, Zhongmin Yan, Shidong Zhang |
| 2018 | CSCWD | Predicting Clinical Visits Using Recurrent Neural Networks and Demographic Information. | Wei Wei Wang, Hui Li, Lizhen Cui, Xiaoguang Hong, Zhongmin Yan |
| 2018 | HPCC | Fraudster Detection Based on Label Propagation Algorithm. | Tingting Luan, Zhongmin Yan, Shidong Zhang, Yongqing Zheng |
| 2017 | CSCWD | Process framework extracting and process recommendation based on BPD similarity clustering. | Lingtong Meng, Lanju Kong, Zhongmin Yan, Shidong Zhang |
| 2016 | TrustCom | Healthcare Fraud Detection Based on Trustworthiness of Doctors. | Haoyi Cui, Qingzhong Li, Hui Li, Zhongmin Yan |
| 2015 | APWEB | Matching Reviews to Object Based on 2-Stage CRF. | Yongxin Zhang, Qingzhong Li, Dequan Wang, Yanhui Ding, Congli Liu, Zhongmin Yan |
| 2015 | KSEM | An Effective Hybrid Fraud Detection Method. | Chenfei Sun, Qingzhong Li, Lizhen Cui, Zhongmin Yan, Hui Li, Wei Wei |
| 2010 | CIKM | MI-WDIS: web data integration system for market intelligence. | Zhongmin Yan, Qingzhong Li, Shidong Zhang, Zhaohui Peng, Yongquan Dong, Yanhui Ding, Yongxin Zhang, Xiuxing Xu |