Hongyu Zhang

Registered user since Sat 30 Dec 2017

Name:Hongyu Zhang
Bio:

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/ .

Country:Australia
Affiliation:The University of Newcastle
Research interests:Software analytics, testing, debugging, maintenance and reuse

Contributions

ICSE 2024 Committee Member in Research Track within the Research Track-track
AIOps 2023 Invited Speaker of Automated Fault Detection for Software Systems through Log Intelligence within the AIOps 2023-track
MSR 2023 Committee Member in Data Showcase Committee within the Data and Tool Showcase Track-track
SVM 2023 Committee Member in Program Committee within the SVM 2023-track
ESEC/FSE 2023 Committee Member in Program Committee within the Industry Papers-track
APSEC 2023 Committee Member in Program Committee within the Technical Track-track
ESEIW 2023 Committee Member in Program Committee within the ESEM Technical Papers-track
ASE 2023 Committee Member in Program Committee within the Research Papers-track
ISSTA 2023 Author of Towards Efficient Fine-tuning of Pre-trained Code Models: An Experimental Study and Beyond within the Technical Papers-track
Author of Detecting Condition-related Bugs with Control Flow Graph Neural Network within the Technical Papers-track
EASE 2023 PC Member in Chairs and expert panel within the Vision and Emerging Results-track
ICSE 2023 Committee Member in New Ideas and Emerging Results within the NIER - New Ideas and Emerging Results-track
Author of Log Parsing with Prompt-based Few-shot Learning within the Technical Track-track
Author of Runtime Performance Prediction for Deep Learning Models with Graph Neural Network within the SEIP - Software Engineering in Practice-track
Author of CoCoSoDa: Effective Contrastive Learning for Code Search within the Technical Track-track
Author of CONAN: Diagnosing Batch Failures for Cloud Systems within the SEIP - Software Engineering in Practice-track
Session Chair of Software logging (part of Technical Track)
Author of Template-based Neural Program Repair within the Technical Track-track
Author of Reusing Deep Neural Network Models through Model Re-engineering within the Technical Track-track
Author of TraceArk: Towards Actionable Performance Anomaly Alerting for Online Service Systems within the SEIP - Software Engineering in Practice-track
Author of Keeping Pace with Ever-Increasing Data: Towards Continual Learning of Code Intelligence Models within the Technical Track-track
Author of Vulnerability Detection with Graph Simplification and Enhanced Graph Representation Learning within the Technical Track-track
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
Author of An Empirical Study on Quality Issues of Deep Learning Platform within the SEIP - Software Engineering in Practice-track
Author of Incident-aware Duplicate Ticket Aggregation for Cloud Systems within the Technical Track-track
APSEC 2022 Committee Member in Program Committee within the Technical Track-track
ESEC/FSE 2022 Committee Member in Program Committee within the Research Papers-track
Author of No More Fine-Tuning? An Experimental Evaluation of Prompt Tuning in Code Intelligence within the Research Papers-track
Author of Diet Code Is Healthy: Simplifying Programs for Pre-trained Models of Code within the Research Papers-track
Author of An Empirical Investigation of Missing Data Handling in Cloud Node Failure Prediction within the Industry Paper-track
Committee Member in Program Committee within the Industry Paper-track
Author of SPINE: A Scalable Log Parser with Feedback Guidance within the Research Papers-track
Author of You See What I Want You to See: Poisoning Vulnerabilities in Neural Code Search within the Research Papers-track
Author of SamplingCA: Effective and Efficient Sampling-Based Pairwise Testing for Highly Configurable Software Systems within the Research Papers-track
ASE 2022 Committee Member in Program Committee within the Artifact Evaluation-track
Author of Patching Weak Convolutional Neural Network Models through Modularization and Composition within the Research Papers-track
Committee Member in Program Committee within the Research Papers-track
ICSE 2022 Author of Where is Your App Frustrating Users? within the Technical Track-track
Author of Log-based Anomaly Detection with Deep Learning: How Far Are We within the Technical Track-track
Author of Cross-Domain Deep Code Search with Few-Shot Learning within the Technical Track-track
Author of What Do They Capture? - A Structural Analysis of Pre-Trained Language Models for Source Code within the Technical Track-track
Author of NaturalCC: An Open-Source Toolkit for Code Intelligence within the DEMO - Demonstrations-track
Author of On the Evaluation of Neural Code Summarization within the Technical Track-track
Author of Refty: Refinement Types for Valid Deep Learning Models within the Technical Track-track
Author of Adaptive Performance Anomaly Detection for Online Service Systems via Pattern Sketching within the Technical Track-track
Author of Improving Fault Localization and Program Repair with Deep Semantic Features and Transferred Knowledge within the Technical Track-track
MSR 2022 Author of LibDB: An Effective and Efficient Framework for Detecting Third-Party Libraries in Binaries within the Technical Papers-track
Committee Member in Program Committee within the Technical Papers-track
Session Chair of Session 1 (part of Technical Papers)
Committee Member in Shadow PC Advisors within the Shadow PC-track
ICPC 2022 Author of HELoC: Hierarchical Contrastive Learning of Source Code Representation within the Research-track
ASE 2021 Session Chair of Mining and Issues (part of Research Papers)
Committee Member in Program Committee within the Research Papers-track
Committee Member in Program Committee within the Artifact Evaluation-track
Author of Graph-based Incident Aggregation for Large-Scale Online Service Systems within the Research Papers-track
Author of Log-based Anomaly Detection Without Log Parsing within the Research Papers-track
MODELS 2021 PC Member in Program Committee within the Tools & Demonstrations-track
ESEM 2021 Committee Member in Technical Track PC within the Technical Papers-track
ESEC/FSE 2021 Author of Intelligent Container Reallocation at Microsoft 365 within the Industry Papers-track
Author of Onion: Identifying Incident-Indicating Logs for Cloud Systems within the Industry Papers-track
Author of Effective Low Capacity Status Prediction for Cloud Systems within the Industry Papers-track
Author of LS-Sampling: An Effective Local Search Based Sampling Approach for Achieving High t-wise Coverage within the Research Papers-track
ECOOP 2021 Author of Do Bugs Propagate? An Empirical Analysis of Temporal Correlations among Software Bugs within the ECOOP Technical Papers-track
ICSE 2021 Committee Member in Program Committee within the Technical Track-track
Author of Fast Outage Analysis of Large-scale Production Clouds with Service Correlation Mining within the Technical Track-track
Author of Resource-Guided Configuration Space Reduction for Deep Learning Models within the Technical Track-track
Author of AutoCCAG: An Automated Approach to Constrained Covering Array Generation within the Technical Track-track
Author of Efficient Compiler Autotuning via Bayesian Optimization within the Technical Track-track
CloudIntelligence 2021 Committee Member in Program Committee within the CloudIntelligence 2021-track
Author of Panel #1 - How to accelerate collaboration on Cloud Intelligence across academia and industry? within the CloudIntelligence 2021-track
MSR 2021 Committee Member in Program Committee within the Technical Papers-track
Session Chair of ML and Deep Learning (part of Technical Papers)
ESEC/FSE 2020 Author of Towards Intelligent Incident Management: Why We Need It and How We Make It within the Industry Papers-track
Author of Identifying Linked Incidents in Large-Scale Online Service Systems within the Research Papers-track
Panelist of Welcome Panel #1 within the Plenary events-track
Author of Estimating GPU Memory Consumption of Deep Learning Models within the Industry Papers-track
Author of Efficient Incident Identification from Multi-dimensional Issue Reports via Meta-heuristic Search within the Research Papers-track
Author of How to Mitigate the Incident? An Effective Troubleshooting Guide Recommendation Technique for Online Service Systems within the Industry Papers-track
ASE 2020 Author of How Incidental are the Incidents? Characterizing and Prioritizing Incidents for Large-Scale Online Service Systems within the Research Papers-track
Committee Member in Program Committee within the Research Papers-track
Author of Learning to Handle Exceptions within the Research Papers-track
ISSTA 2020 Committee Member in Program Committee within the Tool Demonstration-track
ICSE 2020 Author of Retrieval-based Neural Source Code Summarization within the Technical Papers-track
Author of An Empirical Study on Program Failures of Deep Learning Jobs within the Technical Papers-track
Programme Committee in Program Committees within the Artifact Evaluation-track
MSR 2020 Ordinary PC member in Program Committee within the Technical Papers-track
ASE 2019 Author of Ares: Inferring Error Specifications through Static Analysis within the Demonstrations-track
Author of CodeKernel: A Graph Kernel based Approach to the Selection of API Usage Examples within the Research Papers-track
Author of Continuous Incident Triage for Large-Scale Online Service Systems within the Research Papers-track
Committee Member in Program Committee within the Journal First Presentations-track
Author of History-Guided Configuration Diversification for Compiler Test-Program Generation within the Research Papers-track
Committee Member in Program Committee within the Research Papers-track
ISSTA 2019 Tool demonstration Co-Chair in Organizing Committee
PC Chair in Program Committee within the Tool Demonstration-track
Author of Best Tool Demonstration Award within the Keynote-track
Session Chair of Testing and Machine Learning (part of Technical Papers)
ICSE 2019 Author of DeepPerf: Performance Prediction for Configurable Software with Deep Sparse Neural Network within the Technical Track-track
Author of A Novel Neural Source Code Representation based on Abstract Syntax Tree within the Technical Track-track
Author of An Empirical Investigation of Incident Triage for Online Service Systems within the Software Engineering in Practice-track
SEAMS 2019 Committee Member in Artifact Program Committee within the SEAMS 2019-track
ESEC/FSE 2018 Author of Identifying Impactful Service System Problems via Log Analysis within the Research Papers-track
Author of Predicting Node Failure in Cloud Service Systems within the Research Papers-track
ECOOP and ISSTA 2018 Author of Shaping Program Repair Space with Existing Patches and Similar Code within the Posters-track
ISSTA 2018 Author of Shaping Program Repair Space with Existing Patches and Similar Code within the ISSTA Artifacts-track
Author of Shaping Program Repair Space with Existing Patches and Similar Code within the ISSTA Technical Papers-track
* ICSE 2018 * Author of ChangeLocator: Locate Crash-Inducing Changes Based on Crash Reports within the Journal first papers-track
Author of Deep Code Search within the Technical Papers -track
Author of Poster T25: Automatically Answering API-Related Questions within the Posters -track
Author of Poster W39: Live Path Control Flow Integrity within the Posters -track
CHESE 2017 Committee Member in Program Committee within the CHESE 2017-track
POPL 2016 Author of Casper: An Efficient Approach to Call Trace Collection within the Research Papers-track