Registered user since Sat 30 Dec 2017
Hongyu Zhang is currently an associate professor at The University of Newcastle, Australia. Previously, he was a Lead Researcher at Microsoft Research Asia and an Associate Professor at Tsinghua University, China. He received his PhD degree from National University of Singapore in 2003. His research is in the area of Software Engineering, in particular, software analytics, testing, maintenance, and reuse. The main theme of his research is to improve software quality and productivity by mining software data. He has published more than 160 research papers in international journals and conferences, including TSE, TOSEM, ICSE, FSE, POPL, AAAI, IJCAI, KDD, ASE, ISSTA, ICSME, ICDM, and USENIX. He received three ACM Distinguished Paper awards. He has also served as a program committee member for many software engineering conferences. More information about him can be found at: https://sites.google.com/site/hongyujohn/ .
Contributions
2023
Mining Software Repositories
ICSE
- Committee Member in New Ideas and Emerging Results within the NIER - New Ideas and Emerging Results-track
- Log Parsing with Prompt-based Few-shot Learning
- Runtime Performance Prediction for Deep Learning Models with Graph Neural Network
- CoCoSoDa: Effective Contrastive Learning for Code Search
- CONAN: Diagnosing Batch Failures for Cloud Systems
- Session Chair of Software logging (part of Technical Track)
- Template-based Neural Program Repair
- Reusing Deep Neural Network Models through Model Re-engineering
- TraceArk: Towards Actionable Performance Anomaly Alerting for Online Service Systems
- Keeping Pace with Ever-Increasing Data: Towards Continual Learning of Code Intelligence Models
- Vulnerability Detection with Graph Simplification and Enhanced Graph Representation Learning
- Committee Member in Industry Forum within the Industry Forum-track
- Chair in Technical Briefings within the Technical Briefings-track
- Tech briefings Chair in Organising Committee
- An Empirical Study on Quality Issues of Deep Learning Platform
- Incident-aware Duplicate Ticket Aggregation for Cloud Systems
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