| 2026 | ICSE | Hypothesize-Then-Verify: Speculative Root Cause Analysis for Microservices with Pathwise Parallelism. | Lingzhe Zhang, Tong Jia, Yunpeng Zhai, Leyi Pan, Chiming Duan, Minghua He, Pei Xiao, Ying Li |
| 2026 | ICSE | Generality Is Not Enough: Zero-Label Cross-System Log-Based Anomaly Detection via Knowledge-Level Collaboration. | Xinlong Zhao, Tong Jia, Minghua He, Ying Li |
| 2026 | WWW | VarParser: Unleashing the Neglected Power of Variables for LLM-based Log Parsing. | Jinrui Sun, Tong Jia, Minghua He, Ying Li |
| 2025 | AAAI | Efficient Indoor Depth Completion Network Using Mask-adaptive Gated Convolution. | Tingxuan Huang, Jiacheng Miao, Shizhuo Deng, Tong Jia, Dongyue Chen |
| 2025 | AAAI | Adaptive Prompt-Based Semantic Embedding with Inspire Potential of Implicit Knowledge for Cross-Modal Retrieval. | Xin Huang, Shilong Wang, Tong Jia, Zhihang Gou, Jingjing Li |
| 2025 | ICASSP | EagerLog: Active Learning Enhanced Retrieval Augmented Generation for Log-based Anomaly Detection. | Chiming Duan, Tong Jia, Yong Yang, Guiyang Liu, Jinbu Liu, Huxing Zhang, Qi Zhou, Ying Li, Gang Huang |
| 2025 | ICASSP | ScalaLog: Scalable Log-Based Failure Diagnosis Using LLM. | Lingzhe Zhang, Tong Jia, Mengxi Jia, Yifan Wu, Hongyi Liu, Ying Li |
| 2025 | IJCAI | Visual Perturbation and Adaptive Hard Negative Contrastive Learning for Compositional Reasoning in Vision-Language Models. | Xin Huang, Ruibin Li, Tong Jia, Wei Zheng, Ya Wang |
| 2025 | IJCNN | ODE: Decision-based Black-box Adversarial Attack through Orthogonal Distribution Evolution. | Hongyi Liu, Yutong Fang, Tong Jia, Ying Li |
| 2025 | ICS | ORA: Job Runtime Prediction for High-Performance Computing Platforms Using the Online Retrieval-Augmented Language Model. | Hongyi Liu, Yinping Ma, Xiaosong Huang, Lingzhe Zhang, Tong Jia, Ying Li |
| 2025 | ICSE | Famos: Fault Diagnosis for Microservice Systems Through Effective Multi-Modal Data Fusion. | Chiming Duan, Yong Yang, Tong Jia, Guiyang Liu, Jinbu Liu, Huxing Zhang, Qi Zhou, Ying Li, Gang Huang |
| 2025 | ICSE | Weakly-Supervised Log-Based Anomaly Detection with Inexact Labels via Multi-Instance Learning. | Minghua He, Tong Jia, Chiming Duan, Huaqian Cai, Ying Li, Gang Huang |
| 2025 | ISSRE | ZeroLog: Zero-Label Generalizable Cross-System Log-based Anomaly Detection. | Xinlong Zhao, Tong Jia, Minghua He, Ying Li, Gang Huang |
| 2025 | WWW | Enhancing Web Service Anomaly Detection via Fine-grained Multi-modal Association and Frequency Domain Analysis. | Xixuan Yang, Xin Huang, Chiming Duan, Tong Jia, Shandong Dong, Ying Li, Gang Huang |
| 2025 | SANER | IFKG: An Intelligent Fault Diagnosis Tool with Knowledge Graph and Generative LLM. | Xixuan Yang, Tong Jia, Ying Li, Gang Huang |
| 2024 | ESEM | Reducing Events to Augment Log-based Anomaly Detection Models: An Empirical Study. | Lingzhe Zhang, Tong Jia, Kangjin Wang, Mengxi Jia, Yong Yang, Ying Li |
| 2024 | IGARSS | A Fast Polarized BRDF Model Developed for Spaceborne Scatterometer with Neural Network. | Jinghan Wen, Jing Xu, Fuzhong Weng, Lingli He, Tong Jia, Lei Zhang |
| 2024 | ICSE | MetaLog: Generalizable Cross-System Anomaly Detection from Logs with Meta-Learning. | Chenyangguang Zhang, Tong Jia, Guopeng Shen, Pinyan Zhu, Ying Li |
| 2024 | ISSRE | LLMeLog: An Approach for Anomaly Detection based on LLM-enriched Log Events. | Minghua He, Tong Jia, Chiming Duan, Huaqian Cai, Ying Li, Gang Huang |
| 2024 | ISSRE | LogCAE: An Approach for Log-based Anomaly Detection with Active Learning and Contrastive Learning. | Pei Xiao, Tong Jia, Chiming Duan, Huaqian Cai, Ying Li, Gang Huang |
| 2024 | KDD | Multivariate Log-based Anomaly Detection for Distributed Database. | Lingzhe Zhang, Tong Jia, Mengxi Jia, Ying Li, Yong Yang, Zhonghai Wu |
| 2023 | ICCV | AGG-Net: Attention Guided Gated-convolutional Network for Depth Image Completion. | Dongyue Chen, Tingxuan Huang, Zhimin Song, Shizhuo Deng, Tong Jia |
| 2023 | ICWS | AcLog: An Approach to Detecting Anomalies from System Logs with Active Learning. | Chiming Duan, Tong Jia, Ying Li, Gang Huang |
| 2023 | ICWS | ADPal: Automatic Detection of Troubled Users in Online Service Systems via Page Access Logs. | Haiyang Shen, Yun Ma, Yue Li, Xiaoling Wang, Deyu Tian, Tong Jia, Tengfei He, Shenghua Luo |
| 2023 | ISSRE | AFALog: A General Augmentation Framework for Log-based Anomaly Detection with Active Learning. | Chiming Duan, Tong Jia, Huaqian Cai, Ying Li, Gang Huang |
| 2023 | ISSRE | Identifying Root-Cause Changes for User-Reported Incidents in Online Service Systems. | Yujin Zhao, Ling Jiang, Ye Tao, Songlin Zhang, Changlong Wu, Tong Jia, Xiaosong Huang, Ying Li, Zhonghai Wu |
| 2023 | ISSRE | How to Manage Change-Induced Incidents? Lessons from the Study of Incident Life Cycle. | Yujin Zhao, Ling Jiang, Ye Tao, Songlin Zhang, Changlong Wu, Yifan Wu, Tong Jia, Ying Li, Zhonghai Wu |
| 2022 | ICPP | Characterizing Job Microarchitectural Profiles at Scale: Dataset and Analysis. | Kangjin Wang, Ying Li, Cheng Wang, Tong Jia, Kingsum Chow, Yang Wen, Yaoyong Dou, Guoyao Xu, Chuanjia Hou, Jie Yao, Liping Zhang |
| 2022 | IGARSS | Automatic Extraction of Marine Aquaculture Areas Based on the Semantic Segmentation Network from GF-3 SAR Data. | Xiaomeng Geng, Xiao-Ming Li, Tong Jia |
| 2022 | IGARSS | Generation of Nonlinear Internal Waves Around Hainan Island. | Tong Jia, Xiao-Ming Li, Jianjun Liang |
| 2022 | KDD | Augmenting Log-based Anomaly Detection Models to Reduce False Anomalies with Human Feedback. | Tong Jia, Ying Li, Yong Yang, Gang Huang, Zhonghai Wu |
| 2021 | ISPA | Diagnosing Performance Issues in Microservices with Heterogeneous Data Source. | Chuanjia Hou, Tong Jia, Yifan Wu, Ying Li, Jing Han |
| 2021 | ISPA | Mining Configuration Items From System Logs through Distant Supervision. | Qixun Zhang, Tong Jia, Wensheng Xia, Ying Li, Zhonghai Wu, Jing Han |
| 2021 | ISSRE | LogFlash: Real-time Streaming Anomaly Detection and Diagnosis from System Logs for Large-scale Software Systems. | Tong Jia, Yifan Wu, Chuanjia Hou, Ying Li |
| 2021 | ISSRE | How Far Have We Come in Fault Tolerance for Distributed Graph Processing: A Quantitative Assessment of Fault Tolerance Effectiveness. | Chengbo Zhang, Ying Li, Yong Yang, Tong Jia, Zhirong Hou |
| 2021 | QRS | Mining Event Logic Graph from Open Q&A Site for Automated Program Repair. | Chuanjia Hou, Xiaotong Liu, Hao Yu, Tong Jia, Ying Li |
| 2020 | APLAS | Automatically Generating Descriptive Texts in Logging Statements: How Far Are We? | Xiaotong Liu, Tong Jia, Ying Li, Hao Yu, Yang Yue, Chuanjia Hou |
| 2019 | QRS | BugIdentifier: An Approach to Identifying Bugs via Log Mining for Accelerating Bug Reporting Stage. | Wensheng Xia, Ying Li, Tong Jia, Zhonghai Wu |
| 2018 | ISSRE | Machine Deserves Better Logging: A Log Enhancement Approach for Automatic Fault Diagnosis. | Tong Jia, Ying Li, Chengbo Zhang, Wensheng Xia, Jie Jiang, Yuhong Liu |
| 2018 | PODC | Brief Announcement: Automatic Log Enhancement for Fault Diagnosis. | Tong Jia, Ying Li, Zhonghai Wu |
| 2017 | ICONIP | An Iterative Model for Predicting Film Attendance. | Yang Yue, Ying Li, Tong Jia, Zhonghai Wu |
| 2017 | ICWS | An Approach for Anomaly Diagnosis Based on Hybrid Graph Model with Logs for Distributed Services. | Tong Jia, Pengfei Chen, Lin Yang, Ying Li, Fanjing Meng, Jingmin Xu |
| 2017 | VTC | A Fast C-GIST Based Image Retrieval Method for Vision-Based Indoor Localization. | Lin Ma, Hao Xue, Tong Jia, Xuezhi Tan |
| 2016 | APWEB | An Approach for Cross-Community Content Recommendation: A Case Study on Docker. | Yong Yang, Ying Li, Hongyan Tang, Tong Jia, Wenlong Shao |
| 2016 | BigData | Can We Use Programmer's Knowledge? Fixing Parameter Configuration Errors in Hadoop through Analyzing Q&A Sites. | Tong Jia, Ying Li, Hongyan Tang, Zhonghai Wu |
| 2016 | DSN | Hunting Killer Tasks for Cloud System through Behavior Pattern Learning. | Hongyan Tang, Ying Li, Tong Jia, Zhonghai Wu |
| 2016 | IGARSS | Study on oil spills in the North Sea forties field observed in TerraSAR-X and TanDEM-X imagery. | Tong Jia, Xiao-Ming Li, Domenico Velotto |
| 2016 | QRS | Hunting Killer Tasks for Cloud System through Machine Learning: A Google Cluster Case Study. | Hongyan Tang, Ying Li, Tong Jia, Zhonghai Wu |
| 2016 | TrustCom | Evaluating Performance of Rescheduling Strategies in Cloud System. | Hongyan Tang, Ying Li, Tong Jia, Zhonghai Wu |
| 2015 | COMPSAC | An Analysis on Availability Commitment and Penalty in Cloud SLA. | Xiaoyong Yuan, Ying Li, Tong Jia, Tiancheng Liu, Zhonghai Wu |
| 2012 | ISNN | Gradient Vector Flow Based on Anisotropic Diffusion. | Xiaosheng Yu, Chengdong Wu, Dongyue Chen, Ting Zhou, Tong Jia |
| 2009 | ICNC | Gaussian Soliton Solution in (2+1)-Dimensional Logarithmically Saturable Nonlinear Media. | Liu Yajie, Zhu Ning, Tong Jia, Qiyuan Feng |
| 2006 | ISDA | An Optimal Level Sets Method for Lung Nodules Detection in CT Images. | Ying Wei, Xin-He Xu, Tong Jia, Da-Zhe Zhao |