| 2026 | KDD | CAVIAR: Disentangling Root Causes with an ICA-based VAE for Large-Scale Microservice Systems. | Xinrui Jiang, Tingzhu Bi, Meng Ma, Ping Wang |
| 2024 | ICWS | G-Cause: Parameter-free Global Diagnosis for Hyperscale Web Service Infrastructures. | Xinrui Jiang, Yang Zhang, Tingzhu Bi, Xiangzhuang Shen, Yu Zhang, Yicheng Pan, Meng Ma, Linlin Han, Feng Wang, Xian Liu, Ping Wang |
| 2024 | ISNN | Research on Optimal Control Strategy for Infectious Disease Prevention and Control. | Na Liu, Xinrui Jiang |
| 2024 | KDD | FaultInsight: Interpreting Hyperscale Data Center Host Faults. | Tingzhu Bi, Yang Zhang, Yicheng Pan, Yu Zhang, Meng Ma, Xinrui Jiang, Linlin Han, Feng Wang, Xian Liu, Ping Wang |
| 2024 | SIGMETRICS | HEAL: Performance Troubleshooting Deep inside Data Center Hosts. | Yicheng Pan, Yang Zhang, Tingzhu Bi, Linlin Han, Yu Zhang, Meng Ma, Xiangzhuang Shen, Xinrui Jiang, Feng Wang, Xian Liu, Ping Wang |
| 2023 | WWW | Look Deep into the Microservice System Anomaly through Very Sparse Logs. | Xinrui Jiang, Yicheng Pan, Meng Ma, Ping Wang |
| 2022 | ISSRE | VECROsim: A Versatile Metric-oriented Microservice Fault Simulation System (Tools and Artifact Track). | Tingzhu Bi, Yicheng Pan, Xinrui Jiang, Meng Ma, Ping Wang |
| 2021 | AAAI | Training Binary Neural Network without Batch Normalization for Image Super-Resolution. | Xinrui Jiang, Nannan Wang, Jingwei Xin, Keyu Li, Xi Yang, Xinbo Gao |
| 2021 | IJCNN | Dyna-PTM: OD-enhanced GCN for Metro Passenger Flow Prediction. | Congjie He, Haowei Wang, Xinrui Jiang, Meng Ma, Ping Wang |
| 2021 | ISSTA | Faster, deeper, easier: crowdsourcing diagnosis of microservice kernel failure from user space. | Yicheng Pan, Meng Ma, Xinrui Jiang, Ping Wang |
| 2020 | AAAI | Facial Attribute Capsules for Noise Face Super Resolution. | Jingwei Xin, Nannan Wang, Xinrui Jiang, Jie Li, Xinbo Gao, Zhifeng Li |
| 2020 | ECCV | Binarized Neural Network for Single Image Super Resolution. | Jingwei Xin, Nannan Wang, Xinrui Jiang, Jie Li, Heng Huang, Xinbo Gao |
| 2019 | ISNN | A Gradient-Descent Neurodynamic Approach for Distributed Linear Programming. | Xinrui Jiang, Sitian Qin, Ping Guo |