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ORCIDHongyu Zhang 0002
Person information
- affiliation: Chongqing University, China
- affiliation (former): University of Newcastle, School of Electrical Engineering and Computing, Callaghan, Australia
- affiliation (former): Microsoft Research Asia, Beijing, China
- affiliation (former): Tsinghua University, School of Software, Beijing, China
- affiliation (PhD 2003): National University of Singapore, School of Computing
Other persons with the same name
- Hongyu Zhang (aka: Hong-Yu Zhang, Hong-yu Zhang) — disambiguation page
- Hong-Yu Zhang 0001
![[0000-0001-5142-5277]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-5142-5277")
(aka: Hong-yu Zhang 0001, Hongyu Zhang 0001) — Central South University, School of Business, Changsha, China
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2020 – today
- 2024
[j62]Di Wu, Yang Feng, Hongyu Zhang, Baowen Xu:
Automatic recognizing relevant fragments of APIs using API references. Autom. Softw. Eng. 31(1): 3 (2024)- [j61]Di Wu, Hongyu Zhang, Yang Feng, Zhenjiang Dong, Ying Sun:
The future of API analytics. Autom. Softw. Eng. 31(2): 50 (2024) - [j60]Zhiqiang Li, Qiannan Du, Hongyu Zhang, Xiao-Yuan Jing, Fei Wu:
An empirical study of data sampling techniques for just-in-time software defect prediction. Autom. Softw. Eng. 31(2): 56 (2024) - [j59]Yao Wan, Zhangqian Bi, Yang He, Jianguo Zhang, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin, Philip S. Yu:
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit. ACM Comput. Surv. 56(12): 309:1-309:41 (2024) - [j58]Yang Wu, Yao Wan, Hongyu Zhang, Yulei Sui, Wucai Wei, Wei Zhao, Guandong Xu, Hai Jin:
Automated Data Visualization from Natural Language via Large Language Models: An Exploratory Study. Proc. ACM Manag. Data 2(3): 115 (2024) - [j57]Van-Hoang Le, Hongyu Zhang:
PreLog: A Pre-trained Model for Log Analytics. Proc. ACM Manag. Data 2(3): 163 (2024) - [j56]Bolun Li, Zhihong Sun, Tao Huang, Hongyu Zhang, Yao Wan, Ge Li, Zhi Jin, Chen Lyu:
IRCoCo: Immediate Rewards-Guided Deep Reinforcement Learning for Code Completion. Proc. ACM Softw. Eng. 1(FSE): 182-203 (2024) - [j55]Yongzheng Xie, Hongyu Zhang, Muhammad Ali Babar:
LogSD: Detecting Anomalies from System Logs through Self-Supervised Learning and Frequency-Based Masking. Proc. ACM Softw. Eng. 1(FSE): 2098-2120 (2024) - [j54]Luan Pham, Huong Ha, Hongyu Zhang:
BARO: Robust Root Cause Analysis for Microservices via Multivariate Bayesian Online Change Point Detection. Proc. ACM Softw. Eng. 1(FSE): 2214-2237 (2024) - [j53]Anita D. Carleton, Davide Falessi, Hongyu Zhang, Xin Xia:
Generative AI: Redefining the Future of Software Engineering. IEEE Softw. 41(6): 34-37 (2024) - [j52]Lam Ngo, Huong Ha, Jeffrey Chan, Vu Nguyen, Hongyu Zhang:
High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy. Trans. Mach. Learn. Res. 2024 (2024) - [j51]Canh T. Dinh, Tung Thanh Vu, Nguyen Hoang Tran, Minh N. Dao, Hongyu Zhang:
A New Look and Convergence Rate of Federated Multitask Learning With Laplacian Regularization. IEEE Trans. Neural Networks Learn. Syst. 35(6): 8075-8085 (2024) - [j50]Binhang Qi, Hailong Sun, Hongyu Zhang, Xiang Gao:
Reusing Convolutional Neural Network Models through Modularization and Composition. ACM Trans. Softw. Eng. Methodol. 33(3): 70:1-70:39 (2024) - [j49]Lin Yang, Junjie Chen, Shutao Gao, Zhihao Gong, Hongyu Zhang, Yue Kang, Huaan Li:
Try with Simpler - An Evaluation of Improved Principal Component Analysis in Log-based Anomaly Detection. ACM Trans. Softw. Eng. Methodol. 33(5): 115:1-115:27 (2024) - [j48]Wei Tao, Yucheng Zhou, Yanlin Wang, Hongyu Zhang, Haofen Wang, Wenqiang Zhang:
KADEL: Knowledge-Aware Denoising Learning for Commit Message Generation. ACM Trans. Softw. Eng. Methodol. 33(5): 133:1-133:32 (2024) - [j47]Xu Wang, Hongwei Yu, Xiangxin Meng, Hongliang Cao, Hongyu Zhang, Hailong Sun, Xudong Liu, Chunming Hu:
MTL-TRANSFER: Leveraging Multi-task Learning and Transferred Knowledge for Improving Fault Localization and Program Repair. ACM Trans. Softw. Eng. Methodol. 33(6): 148 (2024) - [j46]Weifeng Sun, Zhenting Guo, Meng Yan, Zhongxin Liu, Yan Lei, Hongyu Zhang:
Method-Level Test-to-Code Traceability Link Construction by Semantic Correlation Learning. IEEE Trans. Software Eng. 50(10): 2656-2676 (2024) - [c212]Zhangqian Bi, Yao Wan, Zheng Wang, Hongyu Zhang, Batu Guan, Fangxin Lu, Zili Zhang, Yulei Sui, Hai Jin, Xuanhua Shi:
Iterative Refinement of Project-Level Code Context for Precise Code Generation with Compiler Feedback. ACL (Findings) 2024: 2336-2353 - [c211]Zhihong Sun, Chen Lyu, Bolun Li, Yao Wan, Hongyu Zhang, Ge Li, Zhi Jin:
Enhancing Code Generation Performance of Smaller Models by Distilling the Reasoning Ability of LLMs. LREC/COLING 2024: 5878-5895 - [c210]Fan Hu, Yanlin Wang, Lun Du, Hongyu Zhang, Dongmei Zhang, Xirong Li:
Tackling Long Code Search with Splitting, Encoding, and Aggregating. LREC/COLING 2024: 15500-15510 - [c209]Wei Zhao, Zhitao Hou, Siyuan Wu, Yang Gao, Haoyu Dong, Yao Wan, Hongyu Zhang, Yulei Sui, Haidong Zhang:
NL2Formula: Generating Spreadsheet Formulas from Natural Language Queries. EACL (Findings) 2024: 2377-2388 - [c208]Batu Guan, Yao Wan, Zhangqian Bi, Zheng Wang, Hongyu Zhang, Pan Zhou, Lichao Sun:
CodeIP: A Grammar-Guided Multi-Bit Watermark for Large Language Models of Code. EMNLP (Findings) 2024: 9243-9258 - [c207]Yueyue Liu, Hongyu Zhang, Zhiqiang Li, Yuantian Miao:
Optimizing the Utilization of Large Language Models via Schedule Optimization: An Exploratory Study. ESEM 2024: 84-95 - [c206]Yueyue Liu, Hongyu Zhang, Van-Hoang Le, Yuantian Miao, Zhiqiang Li:
Local Search-based Approach for Cost-effective Job Assignment on Large Language Models. GECCO Companion 2024: 719-722 - [c205]Xiaoyun Li, Hongyu Zhang, Van-Hoang Le, Pengfei Chen:
LogShrink: Effective Log Compression by Leveraging Commonality and Variability of Log Data. ICSE 2024: 23:1-23:12 - [c204]Binhang Qi, Hailong Sun, Hongyu Zhang, Ruobing Zhao, Xiang Gao:
Modularizing while Training: A New Paradigm for Modularizing DNN Models. ICSE 2024: 31:1-31:12 - [c203]Yanjie Gao, Yichen He, Xinze Li, Bo Zhao, Haoxiang Lin, Yoyo Liang, Jing Zhong, Hongyu Zhang, Jingzhou Wang, Yonghua Zeng, Keli Gui, Jie Tong, Mao Yang:
An Empirical Study on Low GPU Utilization of Deep Learning Jobs. ICSE 2024: 96:1-96:13 - [c202]Zhiwei Xu, Shaohua Qiang, Dinghong Song, Min Zhou, Hai Wan, Xibin Zhao, Ping Luo, Hongyu Zhang:
DSFM: Enhancing Functional Code Clone Detection with Deep Subtree Interactions. ICSE 2024: 221:1-221:12 - [c201]Huy-Trung Nguyen, Lam-Vien Nguyen, Van-Hoang Le, Hongyu Zhang, Manh-Trung Le:
Efficient Log-based Anomaly Detection with Knowledge Distillation. ICWS 2024: 578-589 - [c200]Yueyue Liu, Hongyu Zhang, Yuantian Miao, Van-Hoang Le, Zhiqiang Li:
OptLLM: Optimal Assignment of Queries to Large Language Models. ICWS 2024: 788-798 - [c199]Yujia Chen, Cuiyun Gao, Zezhou Yang, Hongyu Zhang, Qing Liao:
Bridge and Hint: Extending Pre-trained Language Models for Long-Range Code. ISSTA 2024: 274-286 - [c198]Zhaoyang Chu, Yao Wan, Qian Li, Yang Wu, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin:
Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation. ISSTA 2024: 389-401 - [c197]Chuan Luo, Shuangyu Lyu, Qiyuan Zhao, Wei Wu, Hongyu Zhang, Chunming Hu:
Beyond Pairwise Testing: Advancing 3-wise Combinatorial Interaction Testing for Highly Configurable Systems. ISSTA 2024: 641-653 - [c196]Lianghong Guo, Yanlin Wang, Ensheng Shi, Wanjun Zhong, Hongyu Zhang, Jiachi Chen, Ruikai Zhang, Yuchi Ma, Zibin Zheng:
When to Stop? Towards Efficient Code Generation in LLMs with Excess Token Prevention. ISSTA 2024: 1073-1085 - [c195]Hongyu Zhang, Dongyi Zheng, Lin Zhong, Xu Yang, Jiyuan Feng, Yunqing Feng, Qing Liao:
FedHCDR: Federated Cross-Domain Recommendation with Hypergraph Signal Decoupling. ECML/PKDD (1) 2024: 350-366 - [c194]Hongyu Zhang, Dongyi Zheng, Xu Yang, Jiyuan Feng, Qing Liao:
FedDCSR: Federated Cross-domain Sequential Recommendation via Disentangled Representation Learning. SDM 2024: 535-543 - [c193]Chao Liu, Xindong Zhang, Hongyu Zhang, Zhiyuan Wan, Zhan Huang, Meng Yan:
An Empirical Study of Code Search in Intelligent Coding Assistant: Perceptions, Expectations, and Directions. SIGSOFT FSE Companion 2024: 283-293 - [c192]Chao Liu, Xuanlin Bao, Hongyu Zhang, Neng Zhang, Haibo Hu, Xiaohong Zhang, Meng Yan:
Guiding ChatGPT for Better Code Generation: An Empirical Study. SANER 2024: 102-113 - [c191]Yanlin Wang, Yanxian Huang, Daya Guo, Hongyu Zhang, Zibin Zheng:
SparseCoder: Identifier-Aware Sparse Transformer for File- Level Code Summarization. SANER 2024: 614-625 - [i81]Yao Wan, Yang He, Zhangqian Bi, Jianguo Zhang, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin, Philip S. Yu:
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit. CoRR abs/2401.00288 (2024) - [i80]Yuling Shi, Hongyu Zhang, Chengcheng Wan, Xiaodong Gu:
Between Lines of Code: Unraveling the Distinct Patterns of Machine and Human Programmers. CoRR abs/2401.06461 (2024) - [i79]Wei Tao, Yucheng Zhou, Yanlin Wang, Hongyu Zhang, Haofen Wang, Wenqiang Zhang:
KADEL: Knowledge-Aware Denoising Learning for Commit Message Generation. CoRR abs/2401.08376 (2024) - [i78]Yanlin Wang, Yanxian Huang, Daya Guo, Hongyu Zhang, Zibin Zheng:
SparseCoder: Identifier-Aware Sparse Transformer for File-Level Code Summarization. CoRR abs/2401.14727 (2024) - [i77]Bolun Li, Zhihong Sun, Tao Huang, Hongyu Zhang, Yao Wan, Ge Li, Zhi Jin, Chen Lyu:
IRCoCo: Immediate Rewards-Guided Deep Reinforcement Learning for Code Completion. CoRR abs/2401.16637 (2024) - [i76]Lam Ngo, Huong Ha, Jeffrey Chan, Vu Nguyen, Hongyu Zhang:
High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy. CoRR abs/2402.03104 (2024) - [i75]Wei Zhao, Zhitao Hou, Siyuan Wu, Yan Gao, Haoyu Dong, Yao Wan, Hongyu Zhang, Yulei Sui, Haidong Zhang:
NL2Formula: Generating Spreadsheet Formulas from Natural Language Queries. CoRR abs/2402.14853 (2024) - [i74]Hongyu Zhang, Dongyi Zheng, Lin Zhong, Xu Yang, Jiyuan Feng, Yunqing Feng, Qing Liao:
FedHCDR: Federated Cross-Domain Recommendation with Hypergraph Signal Decoupling. CoRR abs/2403.02630 (2024) - [i73]Zhihong Sun, Chen Lyu, Bolun Li, Yao Wan, Hongyu Zhang, Ge Li, Zhi Jin:
Enhancing Code Generation Performance of Smaller Models by Distilling the Reasoning Ability of LLMs. CoRR abs/2403.13271 (2024) - [i72]Zhangqian Bi, Yao Wan, Zheng Wang, Hongyu Zhang, Batu Guan, Fangxin Lu, Zili Zhang, Yulei Sui, Xuanhua Shi, Hai Jin:
Iterative Refinement of Project-Level Code Context for Precise Code Generation with Compiler Feedback. CoRR abs/2403.16792 (2024) - [i71]Yi Gui, Zhen Li, Yao Wan, Yemin Shi, Hongyu Zhang, Yi Su, Shaoling Dong, Xing Zhou, Wenbin Jiang:
VISION2UI: A Real-World Dataset with Layout for Code Generation from UI Designs. CoRR abs/2404.06369 (2024) - [i70]Yongzheng Xie, Hongyu Zhang, Muhammad Ali Babar:
LogSD: Detecting Anomalies from System Logs through Self-supervised Learning and Frequency-based Masking. CoRR abs/2404.11294 (2024) - [i69]Yao Wan, Guanghua Wan, Shijie Zhang, Hongyu Zhang, Pan Zhou, Hai Jin, Lichao Sun:
Does Your Neural Code Completion Model Use My Code? A Membership Inference Approach. CoRR abs/2404.14296 (2024) - [i68]Batu Guan, Yao Wan, Zhangqian Bi, Zheng Wang, Hongyu Zhang, Pan Zhou, Lichao Sun:
CodeIP: A Grammar-Guided Multi-Bit Watermark for Large Language Models of Code. CoRR abs/2404.15639 (2024) - [i67]Zhaoyang Chu, Yao Wan, Qian Li, Yang Wu, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin:
Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation. CoRR abs/2404.15687 (2024) - [i66]Yang Wu, Yao Wan, Hongyu Zhang, Yulei Sui, Wucai Wei, Wei Zhao, Guandong Xu, Hai Jin:
Automated Data Visualization from Natural Language via Large Language Models: An Exploratory Study. CoRR abs/2404.17136 (2024) - [i65]Luan Pham, Huong Ha, Hongyu Zhang:
BARO: Robust Root Cause Analysis for Microservices via Multivariate Bayesian Online Change Point Detection. CoRR abs/2405.09330 (2024) - [i64]Yujia Chen, Cuiyun Gao, Zezhou Yang, Hongyu Zhang, Qing Liao:
Bridge and Hint: Extending Pre-trained Language Models for Long-Range Code. CoRR abs/2405.11233 (2024) - [i63]Yueyue Liu, Hongyu Zhang, Yuantian Miao, Van-Hoang Le, Zhiqiang Li:
OptLLM: Optimal Assignment of Queries to Large Language Models. CoRR abs/2405.15130 (2024) - [i62]Fengjie Li, Jiajun Jiang, Jiajun Sun, Hongyu Zhang:
Hybrid Automated Program Repair by Combining Large Language Models and Program Analysis. CoRR abs/2406.00992 (2024) - [i61]Dewu Zheng, Yanlin Wang, Ensheng Shi, Ruikai Zhang, Yuchi Ma, Hongyu Zhang, Zibin Zheng:
Towards more realistic evaluation of LLM-based code generation: an experimental study and beyond. CoRR abs/2406.06918 (2024) - [i60]Weisong Sun, Yun Miao, Yuekang Li, Hongyu Zhang, Chunrong Fang, Yi Liu, Gelei Deng, Yang Liu, Zhenyu Chen:
Source Code Summarization in the Era of Large Language Models. CoRR abs/2407.07959 (2024) - [i59]Lianghong Guo, Yanlin Wang, Ensheng Shi, Wanjun Zhong, Hongyu Zhang, Jiachi Chen, Ruikai Zhang, Yuchi Ma, Zibin Zheng:
When to Stop? Towards Efficient Code Generation in LLMs with Excess Token Prevention. CoRR abs/2407.20042 (2024) - [i58]Yanlin Wang, Lianghong Guo, Ensheng Shi, Wenqing Chen, Jiachi Chen, Wanjun Zhong, Menghan Wang, Hui Li, Hongyu Zhang, Ziyu Lyu, Zibin Zheng:
You Augment Me: Exploring ChatGPT-based Data Augmentation for Semantic Code Search. CoRR abs/2408.05542 (2024) - [i57]Zhihong Sun, Yao Wan, Jia Li, Hongyu Zhang, Zhi Jin, Ge Li, Chen Lyu:
Sifting through the Chaff: On Utilizing Execution Feedback for Ranking the Generated Code Candidates. CoRR abs/2408.13976 (2024) - 2023
- [j45]Bo Zhang, Hongyu Zhang, Van-Hoang Le, Pablo Moscato, Aozhong Zhang:
Semi-supervised and unsupervised anomaly detection by mining numerical workflow relations from system logs. Autom. Softw. Eng. 30(1): 4 (2023) - [j44]Di Wu, Xiao-Yuan Jing, Hongyu Zhang, Yuming Zhou, Baowen Xu:
Leveraging Stack Overflow to detect relevant tutorial fragments of APIs. Empir. Softw. Eng. 28(1): 12 (2023) - [j43]Yuexiu Gao, Hongyu Zhang, Chen Lyu:
EnCoSum: enhanced semantic features for multi-scale multi-modal source code summarization. Empir. Softw. Eng. 28(5): 126 (2023) - [j42]Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun:
CoCoAST: Representing Source Code via Hierarchical Splitting and Reconstruction of Abstract Syntax Trees. Empir. Softw. Eng. 28(6): 135 (2023) - [j41]Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Zan Wang:
Understanding and predicting incident mitigation time. Inf. Softw. Technol. 155: 107119 (2023) - [j40]Di Wu, Xiao-Yuan Jing, Hongyu Zhang, Yang Feng, Haowen Chen, Yuming Zhou, Baowen Xu:
Retrieving API Knowledge from Tutorials and Stack Overflow Based on Natural Language Queries. ACM Trans. Softw. Eng. Methodol. 32(5): 109:1-109:36 (2023) - [j39]Zhiqiang Li, Hongyu Zhang, Xiao-Yuan Jing, Juanying Xie, Min Guo, Jie Ren:
DSSDPP: Data Selection and Sampling Based Domain Programming Predictor for Cross-Project Defect Prediction. IEEE Trans. Software Eng. 49(4): 1941-1963 (2023) - [j38]Weiwei Zhang, Shengjian Guo, Hongyu Zhang, Yulei Sui, Yinxing Xue, Yun Xu:
Challenging Machine Learning-Based Clone Detectors via Semantic-Preserving Code Transformations. IEEE Trans. Software Eng. 49(5): 3052-3070 (2023) - [j37]Chaozheng Wang, Yuanhang Yang, Cuiyun Gao, Yun Peng, Hongyu Zhang, Michael R. Lyu:
Prompt Tuning in Code Intelligence: An Experimental Evaluation. IEEE Trans. Software Eng. 49(11): 4869-4885 (2023) - [c190]Shutong Qiao, Wei Zhou, Junhao Wen, Hongyu Zhang, Min Gao:
Bi-channel Multiple Sparse Graph Attention Networks for Session-based Recommendation. CIKM 2023: 2075-2084 - [c189]Qianyu Feng, Yulei Sui, Hongyu Zhang:
Uncovering Limitations in Text-to-Image Generation: A Contrastive Approach with Structured Semantic Alignment. EMNLP (Findings) 2023: 8876-8888 - [c188]Yawen Wang, Junjie Wang, Hongyu Zhang, Kairui Wang, Qing Wang:
What are Pros and Cons? Stance Detection and Summarization on Feature Request. ESEM 2023: 1-12 - [c187]Shuzheng Gao, Hongyu Zhang, Cuiyun Gao, Chaozheng Wang:
Keeping Pace with Ever-Increasing Data: Towards Continual Learning of Code Intelligence Models. ICSE 2023: 30-42 - [c186]Liqun Li, Xu Zhang, Shilin He, Yu Kang, Hongyu Zhang, Minghua Ma, Yingnong Dang, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
CONAN: Diagnosing Batch Failures for Cloud Systems. ICSE-SEIP 2023: 138-149 - [c185]Zhengran Zeng, Yuqun Zhang, Yong Xu, Minghua Ma, Bo Qiao, Wentao Zou, Qingjun Chen, Meng Zhang, Xu Zhang, Hongyu Zhang, Xuedong Gao, Hao Fan, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
TraceArk: Towards Actionable Performance Anomaly Alerting for Online Service Systems. ICSE-SEIP 2023: 258-269 - [c184]Yanjie Gao, Xianyu Gu, Hongyu Zhang, Haoxiang Lin, Mao Yang:
Runtime Performance Prediction for Deep Learning Models with Graph Neural Network. ICSE-SEIP 2023: 368-380 - [c183]Yanjie Gao, Xiaoxiang Shi, Haoxiang Lin, Hongyu Zhang, Hao Wu, Rui Li, Mao Yang:
An Empirical Study on Quality Issues of Deep Learning Platform. ICSE-SEIP 2023: 455-466 - [c182]Binhang Qi, Hailong Sun, Xiang Gao, Hongyu Zhang, Zhaotian Li, Xudong Liu:
Reusing Deep Neural Network Models through Model Re-engineering. ICSE 2023: 983-994 - [c181]Xiangxin Meng, Xu Wang, Hongyu Zhang, Hailong Sun, Xudong Liu, Chunming Hu:
Template-based Neural Program Repair. ICSE 2023: 1456-1468 - [c180]Ensheng Shi, Yanlin Wang, Wenchao Gu, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun:
CoCoSoDa: Effective Contrastive Learning for Code Search. ICSE 2023: 2198-2210 - [c179]Xin-Cheng Wen, Yupan Chen, Cuiyun Gao, Hongyu Zhang, Jie M. Zhang, Qing Liao:
Vulnerability Detection with Graph Simplification and Enhanced Graph Representation Learning. ICSE 2023: 2275-2286 - [c178]Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu:
Incident-aware Duplicate Ticket Aggregation for Cloud Systems. ICSE 2023: 2299-2311 - [c177]Van-Hoang Le, Hongyu Zhang:
Log Parsing with Prompt-based Few-shot Learning. ICSE 2023: 2438-2449 - [c176]Yanlin Wang, Lianghong Guo, Ensheng Shi, Wenqing Chen, Jiachi Chen, Wanjun Zhong, Menghan Wang, Hui Li, Hongyu Zhang, Ziyu Lyu, Zibin Zheng:
You Augment Me: Exploring ChatGPT-based Data Augmentation for Semantic Code Search. ICSME 2023: 14-25 - [c175]Ensheng Shi, Yanlin Wang, Hongyu Zhang, Lun Du, Shi Han, Dongmei Zhang, Hongbin Sun:
Towards Efficient Fine-Tuning of Pre-trained Code Models: An Experimental Study and Beyond. ISSTA 2023: 39-51 - [c174]Jian Zhang, Xu Wang, Hongyu Zhang, Hailong Sun, Xudong Liu, Chunming Hu, Yang Liu:
Detecting Condition-Related Bugs with Control Flow Graph Neural Network. ISSTA 2023: 1370-1382 - [c173]Shuzheng Gao, Xin-Cheng Wen, Cuiyun Gao, Wenxuan Wang, Hongyu Zhang, Michael R. Lyu:
What Makes Good In-Context Demonstrations for Code Intelligence Tasks with LLMs? ASE 2023: 761-773 - [c172]Weifeng Sun, Hongyan Li, Meng Yan, Yan Lei, Hongyu Zhang:
Revisiting and Improving Retrieval-Augmented Deep Assertion Generation. ASE 2023: 1123-1135 - [c171]Van-Hoang Le, Hongyu Zhang:
Log Parsing: How Far Can ChatGPT Go? ASE 2023: 1699-1704 - [c170]Qiyuan Zhao, Chuan Luo, Shaowei Cai, Wei Wu, Jinkun Lin, Hongyu Zhang, Chunming Hu:
CAmpactor: A Novel and Effective Local Search Algorithm for Optimizing Pairwise Covering Arrays. ESEC/SIGSOFT FSE 2023: 81-93 - [c169]Zhiwei Xu, Min Zhou, Xibin Zhao, Yang Chen, Xi Cheng, Hongyu Zhang:
xASTNN: Improved Code Representations for Industrial Practice. ESEC/SIGSOFT FSE 2023: 1727-1738 - [c168]Fan Hu, Yanlin Wang, Lun Du, Xirong Li, Hongyu Zhang, Shi Han, Dongmei Zhang:
Revisiting Code Search in a Two-Stage Paradigm. WSDM 2023: 994-1002 - [c167]Qingwei Lin, Tianci Li, Pu Zhao, Yudong Liu, Minghua Ma, Lingling Zheng, Murali Chintalapati, Bo Liu, Paul Wang, Hongyu Zhang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang:
EDITS: An Easy-to-difficult Training Strategy for Cloud Failure Prediction. WWW (Companion Volume) 2023: 371-375 - [i56]Shuzheng Gao, Hongyu Zhang, Cuiyun Gao, Chaozheng Wang:
Keeping Pace with Ever-Increasing Data: Towards Continual Learning of Code Intelligence Models. CoRR abs/2302.03482 (2023) - [i55]Xin-Cheng Wen, Yupan Chen, Cuiyun Gao, Hongyu Zhang, Jie M. Zhang, Qing Liao:
Vulnerability Detection with Graph Simplification and Enhanced Graph Representation Learning. CoRR abs/2302.04675 (2023) - [i54]Van-Hoang Le, Hongyu Zhang:
Log Parsing with Prompt-based Few-shot Learning. CoRR abs/2302.07435 (2023) - [i53]Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu:
Incident-aware Duplicate Ticket Aggregation for Cloud Systems. CoRR abs/2302.09520 (2023) - [i52]Zhiwei Xu, Min Zhou, Xibin Zhao, Yang Chen, Xi Cheng, Hongyu Zhang:
xASTNN: Improved Code Representations for Industrial Practice. CoRR abs/2303.07104 (2023) - [i51]Binhang Qi, Hailong Sun, Xiang Gao, Hongyu Zhang, Zhaotian Li, Xudong Liu:
Reusing Deep Neural Network Models through Model Re-engineering. CoRR abs/2304.00245 (2023) - [i50]Ensheng Shi, Yanlin Wang, Hongyu Zhang, Lun Du, Shi Han, Dongmei Zhang, Hongbin Sun:
Towards Efficient Fine-tuning of Pre-trained Code Models: An Experimental Study and Beyond. CoRR abs/2304.05216 (2023) - [i49]Chao Liu, Xuanlin Bao, Hongyu Zhang, Neng Zhang, Haibo Hu, Xiaohong Zhang, Meng Yan:
Improving ChatGPT Prompt for Code Generation. CoRR abs/2305.08360 (2023) - [i48]Van-Hoang Le, Hongyu Zhang:
An Evaluation of Log Parsing with ChatGPT. CoRR abs/2306.01590 (2023) - [i47]Huong Ha, Vu Nguyen, Hongyu Zhang, Anton van den Hengel:
Provably Efficient Bayesian Optimization with Unbiased Gaussian Process Hyperparameter Estimation. CoRR abs/2306.06844 (2023) - [i46]Binhang Qi, Hailong Sun, Hongyu Zhang, Ruobing Zhao, Xiang Gao:
Modularizing while Training: a New Paradigm for Modularizing DNN Models. CoRR abs/2306.09376 (2023) - [i45]Ensheng Shi, Fengji Zhang, Yanlin Wang, Bei Chen, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun:
SoTaNa: The Open-Source Software Development Assistant. CoRR abs/2308.13416 (2023) - [i44]Hongyu Zhang, Dongyi Zheng, Xu Yang, Jiyuan Feng, Qing Liao:
FedDCSR: Federated Cross-domain Sequential Recommendation via Disentangled Representation Learning. CoRR abs/2309.08420 (2023) - [i43]Xiaoyun Li, Hongyu Zhang, Van-Hoang Le, Pengfei Chen:
LogShrink: Effective Log Compression by Leveraging Commonality and Variability of Log Data. CoRR abs/2309.09479 (2023) - [i42]Weifeng Sun, Hongyan Li, Meng Yan, Yan Lei, Hongyu Zhang:
Revisiting and Improving Retrieval-Augmented Deep Assertion Generation. CoRR abs/2309.10264 (2023) - [i41]Binhang Qi, Hailong Sun, Hongyu Zhang, Xiang Gao:
Reusing Convolutional Neural Network Models through Modularization and Composition. CoRR abs/2311.04438 (2023) - [i40]Meng Chen, Hongyu Zhang, Chengcheng Wan, Zhao Wei, Yong Xu, Juhong Wang, Xiaodong Gu:
On the Effectiveness of Large Language Models in Domain-Specific Code Generation. CoRR abs/2312.01639 (2023) - [i39]Jiajun Jiang, Zijie Zhao, Zhirui Ye, Bo Wang, Hongyu Zhang, Junjie Chen:
Enhancing Redundancy-based Automated Program Repair by Fine-grained Pattern Mining. CoRR abs/2312.15955 (2023) - 2022
- [j36]Wei Tao, Yanlin Wang, Ensheng Shi, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, Wenqiang Zhang:
A large-scale empirical study of commit message generation: models, datasets and evaluation. Empir. Softw. Eng. 27(7): 198 (2022) - [j35]Binhang Qi, Hailong Sun, Wei Yuan, Hongyu Zhang, Xiangxin Meng:
DreamLoc: A Deep Relevance Matching-Based Framework for bug Localization. IEEE Trans. Reliab. 71(1): 235-249 (2022) - [c166]Wenchao Gu, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Michael R. Lyu:
Accelerating Code Search with Deep Hashing and Code Classification. ACL (1) 2022: 2534-2544 - [c165]Ensheng Shi, Yanlin Wang, Wei Tao, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun:
RACE: Retrieval-augmented Commit Message Generation. EMNLP 2022: 5520-5530 - [c164]Zhuangbin Chen, Jinyang Liu, Yuxin Su, Hongyu Zhang, Xiao Ling, Michael R. Lyu:
Adaptive Performance Anomaly Detection for Online Service Systems via Pattern Sketching. ICSE 2022: 61-72 - [c163]Yao Wan, Yang He, Zhangqian Bi, Jianguo Zhang, Yulei Sui, Hongyu Zhang, Kazuma Hashimoto, Hai Jin, Guandong Xu, Caiming Xiong, Philip S. Yu:
NaturalCC: An Open-Source Toolkit for Code Intelligence. ICSE-Companion 2022: 149-153 - [c162]Yitian Chai, Hongyu Zhang, Beijun Shen, Xiaodong Gu:
Cross-Domain Deep Code Search with Meta Learning. ICSE 2022: 487-498 - [c161]Xiangxin Meng, Xu Wang, Hongyu Zhang, Hailong Sun, Xudong Liu:
Improving Fault Localization and Program Repair with Deep Semantic Features and Transferred Knowledge. ICSE 2022: 1169-1180 - [c160]Van-Hoang Le, Hongyu Zhang:
Log-based Anomaly Detection with Deep Learning: How Far Are We? ICSE 2022: 1356-1367 - [c159]Ensheng Shi, Yanlin Wang, Lun Du, Junjie Chen, Shi Han, Hongyu Zhang, Dongmei Zhang, Hongbin Sun:
On the Evaluation of Neural Code Summarization. ICSE 2022: 1597-1608 - [c158]Yanjie Gao, Zhengxian Li, Haoxiang Lin, Hongyu Zhang, Ming Wu, Mao Yang:
REFTY: Refinement Types for Valid Deep Learning Models. ICSE 2022: 1843-1855 - [c157]Yao Wan, Wei Zhao, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin:
What Do They Capture? - A Structural Analysis of Pre-Trained Language Models for Source Code. ICSE 2022: 2377-2388 - [c156]Yawen Wang, Junjie Wang, Hongyu Zhang, Xuran Ming, Lin Shi, Qing Wang:
Where is Your App Frustrating Users? ICSE 2022: 2427-2439 - [c155]Xiao Wang, Qiong Wu, Hongyu Zhang, Chen Lyu, Xue Jiang, Zhuoran Zheng, Lei Lyu, Songlin Hu:
HELoC: hierarchical contrastive learning of source code representation. ICPC 2022: 354-365 - [c154]Binhang Qi, Hailong Sun, Xiang Gao, Hongyu Zhang:
Patching Weak Convolutional Neural Network Models through Modularization and Composition. ASE 2022: 74:1-74:12 - [c153]Yudong Liu, Hailan Yang, Pu Zhao, Minghua Ma, Chengwu Wen, Hongyu Zhang, Chuan Luo, Qingwei Lin, Chang Yi, Jiaojian Wang, Chenjian Zhang, Paul Wang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang:
Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems. KDD 2022: 3438-3446 - [c152]Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang:
NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365. KDD 2022: 4032-4040 - [c151]Wei Tang, Yanlin Wang, Hongyu Zhang, Shi Han, Ping Luo, Dongmei Zhang:
LibDB: An Effective and Efficient Framework for Detecting Third-Party Libraries in Binaries. MSR 2022: 423-434 - [c150]Yongzheng Xie, Hongyu Zhang, Muhammad Ali Babar:
LogGD: Detecting Anomalies from System Logs with Graph Neural Networks. QRS 2022: 299-310 - [c149]Xiaotao Song, Jiafei Yan, Yuexin Huang, Hailong Sun, Hongyu Zhang:
A Collaboration-Aware Approach to Profiling Developer Expertise with Cross-Community Data. QRS 2022: 344-355 - [c148]Chaozheng Wang, Yuanhang Yang, Cuiyun Gao, Yun Peng, Hongyu Zhang, Michael R. Lyu:
No more fine-tuning? an experimental evaluation of prompt tuning in code intelligence. ESEC/SIGSOFT FSE 2022: 382-394 - [c147]Zhaowei Zhang, Hongyu Zhang, Beijun Shen, Xiaodong Gu:
Diet code is healthy: simplifying programs for pre-trained models of code. ESEC/SIGSOFT FSE 2022: 1073-1084 - [c146]Chuan Luo, Qiyuan Zhao, Shaowei Cai, Hongyu Zhang, Chunming Hu:
SamplingCA: effective and efficient sampling-based pairwise testing for highly configurable software systems. ESEC/SIGSOFT FSE 2022: 1185-1197 - [c145]Xuheng Wang, Xu Zhang, Liqun Li, Shilin He, Hongyu Zhang, Yudong Liu, Lingling Zheng, Yu Kang, Qingwei Lin, Yingnong Dang, Saravanakumar Rajmohan, Dongmei Zhang:
SPINE: a scalable log parser with feedback guidance. ESEC/SIGSOFT FSE 2022: 1198-1208 - [c144]Yao Wan, Shijie Zhang, Hongyu Zhang, Yulei Sui, Guandong Xu, Dezhong Yao, Hai Jin, Lichao Sun:
You see what I want you to see: poisoning vulnerabilities in neural code search. ESEC/SIGSOFT FSE 2022: 1233-1245 - [c143]Minghua Ma, Yudong Liu, Yuang Tong, Haozhe Li, Pu Zhao, Yong Xu, Hongyu Zhang, Shilin He, Lu Wang, Yingnong Dang, Saravanakumar Rajmohan, Qingwei Lin:
An empirical investigation of missing data handling in cloud node failure prediction. ESEC/SIGSOFT FSE 2022: 1453-1464 - [c142]Yi Gui, Yao Wan, Hongyu Zhang, Huifang Huang, Yulei Sui, Guandong Xu, Zhiyuan Shao, Hai Jin:
Cross-Language Binary-Source Code Matching with Intermediate Representations. SANER 2022: 601-612 - [c141]Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang:
UniParser: A Unified Log Parser for Heterogeneous Log Data. WWW 2022: 1893-1901 - [i38]Yitian Chai, Hongyu Zhang, Beijun Shen, Xiaodong Gu:
Cross-Domain Deep Code Search with Few-Shot Meta Learning. CoRR abs/2201.00150 (2022) - [i37]Zhuangbin Chen, Jinyang Liu, Yuxin Su, Hongyu Zhang, Xiao Ling, Yongqiang Yang, Michael R. Lyu:
Adaptive Performance Anomaly Detection for Online Service Systems via Pattern Sketching. CoRR abs/2201.02944 (2022) - [i36]Yi Gui, Yao Wan, Hongyu Zhang, Huifang Huang, Yulei Sui, Guandong Xu, Zhiyuan Shao, Hai Jin:
Cross-Language Binary-Source Code Matching with Intermediate Representations. CoRR abs/2201.07420 (2022) - [i35]Van-Hoang Le, Hongyu Zhang:
Log-based Anomaly Detection with Deep Learning: How Far Are We? CoRR abs/2202.04301 (2022) - [i34]Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang:
UniParser: A Unified Log Parser for Heterogeneous Log Data. CoRR abs/2202.06569 (2022) - [i33]Yao Wan, Wei Zhao, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin:
What Do They Capture? - A Structural Analysis of Pre-Trained Language Models for Source Code. CoRR abs/2202.06840 (2022) - [i32]Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun:
ECMG: Exemplar-based Commit Message Generation. CoRR abs/2203.02700 (2022) - [i31]Xiao Wang, Qiong Wu, Hongyu Zhang, Chen Lyu, Xue Jiang, Zhuoran Zheng, Lei Lyu, Songlin Hu:
HELoC: Hierarchical Contrastive Learning of Source Code Representation. CoRR abs/2203.14285 (2022) - [i30]Wenchao Gu, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Michael R. Lyu:
Accelerating Code Search with Deep Hashing and Code Classification. CoRR abs/2203.15287 (2022) - [i29]Ensheng Shi, Wenchao Gu, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun:
Enhancing Semantic Code Search with Multimodal Contrastive Learning and Soft Data Augmentation. CoRR abs/2204.03293 (2022) - [i28]Yawen Wang, Junjie Wang, Hongyu Zhang, Xuran Ming, Lin Shi, Qing Wang:
Where is Your App Frustrating Users? CoRR abs/2204.09310 (2022) - [i27]Wei Tang, Yanlin Wang, Hongyu Zhang, Shi Han, Ping Luo, Dongmei Zhang:
LibDB: An Effective and Efficient Framework for Detecting Third-Party Libraries in Binaries. CoRR abs/2204.10232 (2022) - [i26]Zhaowei Zhang, Hongyu Zhang, Beijun Shen, Xiaodong Gu:
Diet Code is Healthy: Simplifying Programs for Pre-Trained Models of Code. CoRR abs/2206.14390 (2022) - [i25]Chaozheng Wang, Yuanhang Yang, Cuiyun Gao, Yun Peng, Hongyu Zhang, Michael R. Lyu:
No More Fine-Tuning? An Experimental Evaluation of Prompt Tuning in Code Intelligence. CoRR abs/2207.11680 (2022) - [i24]Fan Hu, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Xirong Li:
Long Code for Code Search. CoRR abs/2208.11271 (2022) - [i23]Fan Hu, Yanlin Wang, Lun Du, Xirong Li, Hongyu Zhang, Shi Han, Dongmei Zhang:
Revisiting Code Search in a Two-Stage Paradigm. CoRR abs/2208.11274 (2022) - [i22]Binhang Qi, Hailong Sun, Xiang Gao, Hongyu Zhang:
Patching Weak Convolutional Neural Network Models through Modularization and Composition. CoRR abs/2209.06116 (2022) - [i21]Yongzheng Xie, Hongyu Zhang, Muhammad Ali Babar:
LogGD: Detecting Anomalies from System Logs by Graph Neural Networks. CoRR abs/2209.07869 (2022) - [i20]Minghua Ma, Zhao Tian, Max Hort, Federica Sarro, Hongyu Zhang, Qingwei Lin, Dongmei Zhang:
Enhanced Fairness Testing via Generating Effective Initial Individual Discriminatory Instances. CoRR abs/2209.08321 (2022) - [i19]Huong Ha, Zongwen Fan, Hongyu Zhang:
Uncertainty-Aware Performance Prediction for Highly Configurable Software Systems via Bayesian Neural Networks. CoRR abs/2212.13359 (2022) - 2021
- [j34]Junjie Chen, Jibesh Patra, Michael Pradel, Yingfei Xiong, Hongyu Zhang, Dan Hao, Lu Zhang:
A Survey of Compiler Testing. ACM Comput. Surv. 53(1): 4:1-4:36 (2021) - [j33]Chen Lyu, Ruyun Wang, Hongyu Zhang, Hanwen Zhang, Songlin Hu:
Embedding API dependency graph for neural code generation. Empir. Softw. Eng. 26(4): 61 (2021) - [j32]Di Wu, Xiao-Yuan Jing, Hongyu Zhang, Bing Li, Yu Xie, Baowen Xu:
Generating API tags for tutorial fragments from Stack Overflow. Empir. Softw. Eng. 26(4): 66 (2021) - [j31]Wenchao Gu, Zongjie Li, Cuiyun Gao, Chaozheng Wang, Hongyu Zhang, Zenglin Xu, Michael R. Lyu:
CRaDLe: Deep code retrieval based on semantic Dependency Learning. Neural Networks 141: 385-394 (2021) - [j30]Junjie Chen, Guancheng Wang, Dan Hao, Yingfei Xiong, Hongyu Zhang, Lu Zhang, Bing Xie:
Coverage Prediction for Accelerating Compiler Testing. IEEE Trans. Software Eng. 47(2): 261-278 (2021) - [c140]Chuan Luo, Pu Zhao, Chen Chen, Bo Qiao, Chao Du, Hongyu Zhang, Wei Wu, Shaowei Cai, Bing He, Saravanakumar Rajmohan, Qingwei Lin:
PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector. AAAI 2021: 8784-8792 - [c139]Chuan Luo, Bo Qiao, Wenqian Xing, Xin Chen, Pu Zhao, Chao Du, Randolph Yao, Hongyu Zhang, Wei Wu, Shaowei Cai, Bing He, Saravanakumar Rajmohan, Qingwei Lin:
Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems. AAAI 2021: 12363-12372 - [c138]Xiaodong Gu, Yo-Sub Han, Sunghun Kim, Hongyu Zhang:
Do Bugs Propagate? An Empirical Analysis of Temporal Correlations Among Software Bugs. ECOOP 2021: 11:1-11:21 - [c137]Yuning Kang, Zan Wang, Hongyu Zhang, Junjie Chen, Hanmo You:
APIRecX: Cross-Library API Recommendation via Pre-Trained Language Model. EMNLP (1) 2021: 3425-3436 - [c136]Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun:
CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees. EMNLP (1) 2021: 4053-4062 - [c135]Yanjie Gao, Yonghao Zhu, Hongyu Zhang, Haoxiang Lin, Mao Yang:
Resource-Guided Configuration Space Reduction for Deep Learning Models. ICSE 2021: 175-187 - [c134]Chuan Luo, Jinkun Lin, Shaowei Cai, Xin Chen, Bing He, Bo Qiao, Pu Zhao, Qingwei Lin, Hongyu Zhang, Wei Wu, Saravanakumar Rajmohan, Dongmei Zhang:
AutoCCAG: An Automated Approach to Constrained Covering Array Generation. ICSE 2021: 201-212 - [c133]Yaohui Wang, Guozheng Li, Zijian Wang, Yu Kang, Yangfan Zhou, Hongyu Zhang, Feng Gao, Jeffrey Sun, Li Yang, Pochian Lee, Zhangwei Xu, Pu Zhao, Bo Qiao, Liqun Li, Xu Zhang, Qingwei Lin:
Fast Outage Analysis of Large-scale Production Clouds with Service Correlation Mining. ICSE 2021: 885-896 - [c132]Junjie Chen, Ningxin Xu, Peiqi Chen, Hongyu Zhang:
Efficient Compiler Autotuning via Bayesian Optimization. ICSE 2021: 1198-1209 - [c131]Wei Tao, Yanlin Wang, Ensheng Shi, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, Wenqiang Zhang:
On the Evaluation of Commit Message Generation Models: An Experimental Study. ICSME 2021: 126-136 - [c130]Yongzheng Xie, Hongyu Zhang, Bo Zhang, Muhammad Ali Babar, Sha Lu:
LogDP: Combining Dependency and Proximity for Log-Based Anomaly Detection. ICSOC 2021: 708-716 - [c129]Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang:
How Long Will it Take to Mitigate this Incident for Online Service Systems? ISSRE 2021: 36-46 - [c128]Zhuangbin Chen, Jinyang Liu, Yuxin Su, Hongyu Zhang, Xuemin Wen, Xiao Ling, Yongqiang Yang, Michael R. Lyu:
Graph-based Incident Aggregation for Large-Scale Online Service Systems. ASE 2021: 430-442 - [c127]Van-Hoang Le, Hongyu Zhang:
Log-based Anomaly Detection Without Log Parsing. ASE 2021: 492-504 - [c126]Xu Zhang, Chao Du, Yifan Li, Yong Xu, Hongyu Zhang, Si Qin, Ze Li, Qingwei Lin, Yingnong Dang, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang:
HALO: Hierarchy-aware Fault Localization for Cloud Systems. KDD 2021: 3948-3958 - [c125]Chuan Luo, Binqi Sun, Bo Qiao, Junjie Chen, Hongyu Zhang, Jinkun Lin, Qingwei Lin, Dongmei Zhang:
LS-sampling: an effective local search based sampling approach for achieving high t-wise coverage. ESEC/SIGSOFT FSE 2021: 1081-1092 - [c124]Hang Dong, Si Qin, Yong Xu, Bo Qiao, Shandan Zhou, Xian Yang, Chuan Luo, Pu Zhao, Qingwei Lin, Hongyu Zhang, Abulikemu Abuduweili, Sanjay Ramanujan, Karthikeyan Subramanian, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang, Thomas Moscibroda:
Effective low capacity status prediction for cloud systems. ESEC/SIGSOFT FSE 2021: 1236-1241 - [c123]Xu Zhang, Yong Xu, Si Qin, Shilin He, Bo Qiao, Ze Li, Hongyu Zhang, Xukun Li, Yingnong Dang, Qingwei Lin, Murali Chintalapati, Saravanakumar Rajmohan, Dongmei Zhang:
Onion: identifying incident-indicating logs for cloud systems. ESEC/SIGSOFT FSE 2021: 1253-1263 - [c122]Bo Qiao, Fangkai Yang, Chuan Luo, Yanan Wang, Johnny Li, Qingwei Lin, Hongyu Zhang, Mohit Datta, Andrew Zhou, Thomas Moscibroda, Saravanakumar Rajmohan, Dongmei Zhang:
Intelligent container reallocation at Microsoft 365. ESEC/SIGSOFT FSE 2021: 1438-1443 - [c121]Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, Feng Gao, Li Yang, Qingwei Lin, Saravanakumar Rajmohan, Zhangwei Xu, Dongmei Zhang:
Fighting the Fog of War: Automated Incident Detection for Cloud Systems. USENIX ATC 2021: 131-146 - [c120]Di Wu, Xiao-Yuan Jing, Hongyu Zhang, Yuming Zhou, Baowen Xu:
Leveraging Stack Overflow to Detect Relevant Tutorial Fragments of APIs. SANER 2021: 119-130 - [c119]Chuan Luo, Pu Zhao, Bo Qiao, Youjiang Wu, Hongyu Zhang, Wei Wu, Weihai Lu, Yingnong Dang, Saravanakumar Rajmohan, Qingwei Lin, Dongmei Zhang:
NTAM: Neighborhood-Temporal Attention Model for Disk Failure Prediction in Cloud Platforms. WWW 2021: 1181-1191 - [i18]Canh T. Dinh, Tung Thanh Vu, Nguyen Hoang Tran, Minh N. Dao, Hongyu Zhang:
FedU: A Unified Framework for Federated Multi-Task Learning with Laplacian Regularization. CoRR abs/2102.07148 (2021) - [i17]Yaohui Wang, Guozheng Li, Zijian Wang, Yu Kang, Yangfan Zhou, Hongyu Zhang, Feng Gao, Jeffrey Sun, Li Yang, Pochian Lee, Zhangwei Xu, Pu Zhao, Bo Qiao, Liqun Li, Xu Zhang, Qingwei Lin:
Fast Outage Analysis of Large-scale Production Clouds with Service Correlation Mining. CoRR abs/2103.03649 (2021) - [i16]Chen Lyu, Ruyun Wang, Hongyu Zhang, Hanwen Zhang, Songlin Hu:
Embedding API Dependency Graph for Neural Code Generation. CoRR abs/2103.15361 (2021) - [i15]Yanlin Wang, Ensheng Shi, Lun Du, Xiaodi Yang, Yuxuan Hu, Shi Han, Hongyu Zhang, Dongmei Zhang:
CoCoSum: Contextual Code Summarization with Multi-Relational Graph Neural Network. CoRR abs/2107.01933 (2021) - [i14]Wei Tao, Yanlin Wang, Ensheng Shi, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, Wenqiang Zhang:
On the Evaluation of Commit Message Generation Models: An Experimental Study. CoRR abs/2107.05373 (2021) - [i13]Ensheng Shi, Yanlin Wang, Lun Du, Junjie Chen, Shi Han, Hongyu Zhang, Dongmei Zhang, Hongbin Sun:
Neural Code Summarization: How Far Are We? CoRR abs/2107.07112 (2021) - [i12]Van-Hoang Le, Hongyu Zhang:
Log-based Anomaly Detection Without Log Parsing. CoRR abs/2108.01955 (2021) - [i11]Zhuangbin Chen, Jinyang Liu, Yuxin Su, Hongyu Zhang, Xuemin Wen, Xiao Ling, Yongqiang Yang, Michael R. Lyu:
Graph-based Incident Aggregation for Large-Scale Online Service Systems. CoRR abs/2108.12179 (2021) - [i10]Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun:
CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees. CoRR abs/2108.12987 (2021) - [i9]Yongzheng Xie, Hongyu Zhang, Bo Zhang, Muhammad Ali Babar, Sha Lu:
LogDP: Combining Dependency and Proximity for Log-based Anomaly Detection. CoRR abs/2110.01927 (2021) - [i8]Weiwei Zhang, Shengjian Guo, Hongyu Zhang, Yulei Sui, Yinxing Xue, Yun Xu:
Challenging Machine Learning-based Clone Detectors via Semantic-preserving Code Transformations. CoRR abs/2111.10793 (2021) - 2020
- [j29]Zhenyu Zhang, Hailong Sun, Hongyu Zhang:
Developer recommendation for Topcoder through a meta-learning based policy model. Empir. Softw. Eng. 25(1): 859-889 (2020) - [j28]Di Wu, Xiao-Yuan Jing, Hongyu Zhang, Xiaohui Kong, Yu Xie, Zhiguo Huang:
Data-driven approach to application programming interface documentation mining: A review. WIREs Data Mining Knowl. Discov. 10(5) (2020) - [c118]Yangyang Shu, Yulei Sui, Hongyu Zhang, Guandong Xu:
Perf-AL: Performance Prediction for Configurable Software through Adversarial Learning. ESEM 2020: 16:1-16:11 - [c117]Ru Zhang, Wencong Xiao, Hongyu Zhang, Yu Liu, Haoxiang Lin, Mao Yang:
An empirical study on program failures of deep learning jobs. ICSE 2020: 1159-1170 - [c116]Jian Zhang, Xu Wang, Hongyu Zhang, Hailong Sun, Xudong Liu:
Retrieval-based neural source code summarization. ICSE 2020: 1385-1397 - [c115]Chuan Luo, Bo Qiao, Xin Chen, Pu Zhao, Randolph Yao, Hongyu Zhang, Wei Wu, Andrew Zhou, Qingwei Lin:
Intelligent Virtual Machine Provisioning in Cloud Computing. IJCAI 2020: 1495-1502 - [c114]Jianyi Zhou, Feng Li, Jinhao Dong, Hongyu Zhang, Dan Hao:
Cost-Effective Testing of a Deep Learning Model through Input Reduction. ISSRE 2020: 289-300 - [c113]Jian Zhang, Xu Wang, Hongyu Zhang, Hailong Sun, Yanjun Pu, Xudong Liu:
Learning to Handle Exceptions. ASE 2020: 29-41 - [c112]Junjie Chen, Shu Zhang, Xiaoting He, Qingwei Lin, Hongyu Zhang, Dan Hao, Yu Kang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang:
How Incidental are the Incidents? Characterizing and Prioritizing Incidents for Large-Scale Online Service Systems. ASE 2020: 373-384 - [c111]Jiazhen Gu, Chuan Luo, Si Qin, Bo Qiao, Qingwei Lin, Hongyu Zhang, Ze Li, Yingnong Dang, Shaowei Cai, Wei Wu, Yangfan Zhou, Murali Chintalapati, Dongmei Zhang:
Efficient incident identification from multi-dimensional issue reports via meta-heuristic search. ESEC/SIGSOFT FSE 2020: 292-303 - [c110]Yujun Chen, Xian Yang, Hang Dong, Xiaoting He, Hongyu Zhang, Qingwei Lin, Junjie Chen, Pu Zhao, Yu Kang, Feng Gao, Zhangwei Xu, Dongmei Zhang:
Identifying linked incidents in large-scale online service systems. ESEC/SIGSOFT FSE 2020: 304-314 - [c109]Yanjie Gao, Yu Liu, Hongyu Zhang, Zhengxian Li, Yonghao Zhu, Haoxiang Lin, Mao Yang:
Estimating GPU memory consumption of deep learning models. ESEC/SIGSOFT FSE 2020: 1342-1352 - [c108]Jiajun Jiang, Weihai Lu, Junjie Chen, Qingwei Lin, Pu Zhao, Yu Kang, Hongyu Zhang, Yingfei Xiong, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang:
How to mitigate the incident? an effective troubleshooting guide recommendation technique for online service systems. ESEC/SIGSOFT FSE 2020: 1410-1420 - [c107]Zhuangbin Chen, Yu Kang, Liqun Li, Xu Zhang, Hongyu Zhang, Hui Xu, Yangfan Zhou, Li Yang, Jeffrey Sun, Zhangwei Xu, Yingnong Dang, Feng Gao, Pu Zhao, Bo Qiao, Qingwei Lin, Dongmei Zhang, Michael R. Lyu:
Towards intelligent incident management: why we need it and how we make it. ESEC/SIGSOFT FSE 2020: 1487-1497 - [c106]Bo Zhang, Hongyu Zhang, Pablo Moscato, Aozhong Zhang:
Anomaly Detection via Mining Numerical Workflow Relations from Logs. SRDS 2020: 195-204 - [i7]Wenchao Gu, Zongjie Li, Cuiyun Gao, Chaozheng Wang, Hongyu Zhang, Zenglin Xu, Michael R. Lyu:
CRaDLe: Deep Code Retrieval Based on Semantic Dependency Learning. CoRR abs/2012.01028 (2020)
2010 – 2019
- 2019
- [j27]Zhiqiang Li, Xiao-Yuan Jing, Xiaoke Zhu, Hongyu Zhang, Baowen Xu, Shi Ying:
Heterogeneous defect prediction with two-stage ensemble learning. Autom. Softw. Eng. 26(3): 599-651 (2019) - [j26]Yongfeng Gu, Jifeng Xuan, Hongyu Zhang, Lanxin Zhang, Qingna Fan, Xiaoyuan Xie, Tieyun Qian:
Does the fault reside in a stack trace? Assisting crash localization by predicting crashing fault residence. J. Syst. Softw. 148: 88-104 (2019) - [j25]Seyedeh Zahra Mirjalili, Seyedali Mirjalili, Hongyu Zhang, Stephan K. Chalup, Nasimul Noman:
Improving the reliability of implicit averaging methods using new conditional operators for robust optimization. Swarm Evol. Comput. 51 (2019) - [j24]Zhiqiang Li, Xiao-Yuan Jing, Xiaoke Zhu, Hongyu Zhang, Baowen Xu, Shi Ying:
On the Multiple Sources and Privacy Preservation Issues for Heterogeneous Defect Prediction. IEEE Trans. Software Eng. 45(4): 391-411 (2019) - [c105]Xiangning Chen, Bo Qiao, Weiyi Zhang, Wei Wu, Murali Chintalapati, Dongmei Zhang, Qingwei Lin, Chuan Luo, Xudong Li, Hongyu Zhang, Yong Xu, Yingnong Dang, Kaixin Sui, Xu Zhang:
Neural Feature Search: A Neural Architecture for Automated Feature Engineering. ICDM 2019: 71-80 - [c104]Junjie Chen, Xiaoting He, Qingwei Lin, Yong Xu, Hongyu Zhang, Dan Hao, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang:
An empirical investigation of incident triage for online service systems. ICSE (SEIP) 2019: 111-120 - [c103]Jian Zhang, Xu Wang, Hongyu Zhang, Hailong Sun, Kaixuan Wang, Xudong Liu:
A novel neural source code representation based on abstract syntax tree. ICSE 2019: 783-794 - [c102]Huong Ha, Hongyu Zhang:
DeepPerf: performance prediction for configurable software with deep sparse neural network. ICSE 2019: 1095-1106 - [c101]Bo Zhang, Hongyu Zhang, Junjie Chen, Dan Hao, Pablo Moscato:
Automatic Discovery and Cleansing of Numerical Metamorphic Relations. ICSME 2019: 235-245 - [c100]Bo Zhang, Hongyu Zhang, Junjie Chen, Dan Hao, Pablo Moscato:
AutoMR: Automatic Discovery and Cleansing of Numerical Metamorphic Relations. ICSME 2019: 246 - [c99]Huong Ha, Hongyu Zhang:
Performance-Influence Model for Highly Configurable Software with Fourier Learning and Lasso Regression. ICSME 2019: 470-480 - [c98]Chuan Luo, Holger H. Hoos, Shaowei Cai, Qingwei Lin, Hongyu Zhang, Dongmei Zhang:
Local Search with Efficient Automatic Configuration for Minimum Vertex Cover. IJCAI 2019: 1297-1304 - [c97]Junjie Chen, Guancheng Wang, Dan Hao, Yingfei Xiong, Hongyu Zhang, Lu Zhang:
History-Guided Configuration Diversification for Compiler Test-Program Generation. ASE 2019: 305-316 - [c96]Junjie Chen, Xiaoting He, Qingwei Lin, Hongyu Zhang, Dan Hao, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang:
Continuous Incident Triage for Large-Scale Online Service Systems. ASE 2019: 364-375 - [c95]Xiaodong Gu, Hongyu Zhang, Sunghun Kim:
CodeKernel: A Graph Kernel Based Approach to the Selection of API Usage Examples. ASE 2019: 590-601 - [c94]Chi Li, Min Zhou, Zuxing Gu, Ming Gu, Hongyu Zhang:
Ares: Inferring Error Specifications through Static Analysis. ASE 2019: 1174-1177 - [c93]Jinkun Lin, Shaowei Cai, Chuan Luo, Qingwei Lin, Hongyu Zhang:
Towards more efficient meta-heuristic algorithms for combinatorial test generation. ESEC/SIGSOFT FSE 2019: 212-222 - [c92]Xu Zhang, Yong Xu, Qingwei Lin, Bo Qiao, Hongyu Zhang, Yingnong Dang, Chunyu Xie, Xinsheng Yang, Qian Cheng, Ze Li, Junjie Chen, Xiaoting He, Randolph Yao, Jian-Guang Lou, Murali Chintalapati, Furao Shen, Dongmei Zhang:
Robust log-based anomaly detection on unstable log data. ESEC/SIGSOFT FSE 2019: 807-817 - [c91]Seyedeh Zahra Mirjalili, Hongyu Zhang, Seyedali Mirjalili, Stephan K. Chalup, Nasimul Noman:
A Novel U-Shaped Transfer Function for Binary Particle Swarm Optimisation. SocProS (1) 2019: 241-259 - [c90]Xu Zhang, Qingwei Lin, Yong Xu, Si Qin, Hongyu Zhang, Bo Qiao, Yingnong Dang, Xinsheng Yang, Qian Cheng, Murali Chintalapati, Youjiang Wu, Ken Hsieh, Kaixin Sui, Xin Meng, Yaohai Xu, Wenchi Zhang, Furao Shen, Dongmei Zhang:
Cross-dataset Time Series Anomaly Detection for Cloud Systems. USENIX ATC 2019: 1063-1076 - [c89]Yujun Chen, Xian Yang, Qingwei Lin, Hongyu Zhang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang, Hang Dong, Yong Xu, Hao Li, Yu Kang:
Outage Prediction and Diagnosis for Cloud Service Systems. WWW 2019: 2659-2665 - 2018
- [j23]Rongxin Wu, Ming Wen, Shing-Chi Cheung, Hongyu Zhang:
ChangeLocator: locate crash-inducing changes based on crash reports. Empir. Softw. Eng. 23(5): 2866-2900 (2018) - [j22]Hongyu Zhang, Andriy V. Miranskyy, Ayse Basar Bener:
Editorial: Special Section on Best Papers of PROMISE 2016. Inf. Softw. Technol. 95: 295 (2018) - [c88]Mohamad Barbar, Yulei Sui, Hongyu Zhang, Shiping Chen, Jingling Xue:
Live Path CFI Against Control Flow Hijacking Attacks. ACISP 2018: 768-779 - [c87]Mohamad Barbar, Yulei Sui, Hongyu Zhang, Shiping Chen, Jingling Xue:
Live path control flow integrity. ICSE (Companion Volume) 2018: 195-196 - [c86]Di Wu, Xiao-Yuan Jing, Haowen Chen, Xiaoke Zhu, Hongyu Zhang, Mei Zuo, Lu Zi, Chen Zhu:
Automatically answering API-related questions. ICSE (Companion Volume) 2018: 270-271 - [c85]Rongxin Wu, Ming Wen, Shing-Chi Cheung, Hongyu Zhang:
ChangeLocator: locate crash-inducing changes based on crash reports. ICSE 2018: 536 - [c84]Xiaodong Gu, Hongyu Zhang, Sunghun Kim:
Deep code search. ICSE 2018: 933-944 - [c83]Jiajun Jiang, Yingfei Xiong, Hongyu Zhang, Qing Gao, Xiangqun Chen:
Shaping program repair space with existing patches and similar code. ISSTA 2018: 298-309 - [c82]Qingwei Lin, Weichen Ke, Jian-Guang Lou, Hongyu Zhang, Kaixin Sui, Yong Xu, Ziyi Zhou, Bo Qiao, Dongmei Zhang:
BigIN4: Instant, Interactive Insight Identification for Multi-Dimensional Big Data. KDD 2018: 547-555 - [c81]Shilin He, Qingwei Lin, Jian-Guang Lou, Hongyu Zhang, Michael R. Lyu, Dongmei Zhang:
Identifying impactful service system problems via log analysis. ESEC/SIGSOFT FSE 2018: 60-70 - [c80]Qingwei Lin, Ken Hsieh, Yingnong Dang, Hongyu Zhang, Kaixin Sui, Yong Xu, Jian-Guang Lou, Chenggang Li, Youjiang Wu, Randolph Yao, Murali Chintalapati, Dongmei Zhang:
Predicting Node failure in cloud service systems. ESEC/SIGSOFT FSE 2018: 480-490 - [c79]Yong Xu, Kaixin Sui, Randolph Yao, Hongyu Zhang, Qingwei Lin, Yingnong Dang, Peng Li, Keceng Jiang, Wenchi Zhang, Jian-Guang Lou, Murali Chintalapati, Dongmei Zhang:
Improving Service Availability of Cloud Systems by Predicting Disk Error. USENIX ATC 2018: 481-494 - 2017
- [j21]Jifeng Xuan, He Jiang, Hongyu Zhang, Zhilei Ren:
Developer recommendation on bug commenting: a ranking approach for the developer crowd. Sci. China Inf. Sci. 60(7): 072105:1-072105:18 (2017) - [c78]Chengxun Shu, Hongyu Zhang:
Neural Programming by Example. AAAI 2017: 1539-1545 - [c77]Fei Wu, Xiao-Yuan Jing, Xiwei Dong, Jicheng Cao, Mingwei Xu, Hongyu Zhang, Shi Ying, Baowen Xu:
Cross-project and within-project semi-supervised software defect prediction problems study using a unified solution. ICSE (Companion Volume) 2017: 195-197 - [c76]Junjie Chen, Yanwei Bai, Dan Hao, Yingfei Xiong, Hongyu Zhang, Bing Xie:
Learning to prioritize test programs for compiler testing. ICSE 2017: 700-711 - [c75]Zhiqiang Li, Xiao-Yuan Jing, Xiaoke Zhu, Hongyu Zhang:
Heterogeneous Defect Prediction Through Multiple Kernel Learning and Ensemble Learning. ICSME 2017: 91-102 - [c74]Xiaodong Gu, Hongyu Zhang, Dongmei Zhang, Sunghun Kim:
DeepAM: Migrate APIs with Multi-modal Sequence to Sequence Learning. IJCAI 2017: 3675-3681 - [i6]Chengxun Shu, Hongyu Zhang:
Neural Programming by Example. CoRR abs/1703.04990 (2017) - [i5]Xiaodong Gu, Hongyu Zhang, Dongmei Zhang, Sunghun Kim:
DeepAM: Migrate APIs with Multi-modal Sequence to Sequence Learning. CoRR abs/1704.07734 (2017) - [i4]Junjie Chen, Alastair F. Donaldson, Andreas Zeller, Hongyu Zhang:
Testing and Verification of Compilers (Dagstuhl Seminar 17502). Dagstuhl Reports 7(12): 50-65 (2017) - 2016
- [j20]Xin Xia, Liang Gong, Tien-Duy B. Le, David Lo, Lingxiao Jiang, Hongyu Zhang:
Diversity maximization speedup for localizing faults in single-fault and multi-fault programs. Autom. Softw. Eng. 23(1): 43-75 (2016) - [c73]Min Zhou, Xi Cheng, Xinrui Guo, Ming Gu, Hongyu Zhang, Xiaoyu Song:
Improving Failure Detection by Automatically Generating Test Cases Near the Boundaries. COMPSAC 2016: 164-173 - [c72]Qingwei Lin, Hongyu Zhang, Jian-Guang Lou, Yu Zhang, Xuewei Chen:
Log clustering based problem identification for online service systems. ICSE (Companion Volume) 2016: 102-111 - [c71]Junjie Chen, Wenxiang Hu, Dan Hao, Yingfei Xiong, Hongyu Zhang, Lu Zhang, Bing Xie:
An empirical comparison of compiler testing techniques. ICSE 2016: 180-190 - [c70]Qingwei Lin, Jian-Guang Lou, Hongyu Zhang, Dongmei Zhang:
iDice: problem identification for emerging issues. ICSE 2016: 214-224 - [c69]Junjie Chen, Yanwei Bai, Dan Hao, Yingfei Xiong, Hongyu Zhang, Lu Zhang, Bing Xie:
Test Case Prioritization for Compilers: A Text-Vector Based Approach. ICST 2016: 266-277 - [c68]Rongxin Wu, Xiao Xiao, Shing-Chi Cheung, Hongyu Zhang, Charles Zhang:
Casper: an efficient approach to call trace collection. POPL 2016: 678-690 - [c67]Xiaodong Gu, Hongyu Zhang, Dongmei Zhang, Sunghun Kim:
Deep API learning. SIGSOFT FSE 2016: 631-642 - [c66]Hongyu Zhang, Anuj Jain, Gaurav Khandelwal, Chandrashekhar Kaushik, Scott Ge, Wenxiang Hu:
Bing developer assistant: improving developer productivity by recommending sample code. SIGSOFT FSE 2016: 956-961 - [p3]Qingwei Lin, Jian-Guang Lou, Hongyu Zhang, Dongmei Zhang:
How to tame your online services. Perspectives on Data Science for Software Engineering 2016: 63-65 - [p2]Zhitao Hou, Hongyu Zhang, Haidong Zhang, Dongmei Zhang:
Visual analytics for software engineering data. Perspectives on Data Science for Software Engineering 2016: 77-80 - [i3]Xiaodong Gu, Hongyu Zhang, Dongmei Zhang, Sunghun Kim:
Deep API Learning. CoRR abs/1605.08535 (2016) - 2015
- [j19]Ming Li, Hongyu Zhang, David Lo, Lucia:
Improving Software Quality and Productivity Leveraging Mining Techniques: [Summary of the Second Workshop on Software Mining, at ASE 2013]. ACM SIGSOFT Softw. Eng. Notes 40(1): 1-2 (2015) - [c65]Hucheng Zhou, Jian-Guang Lou, Hongyu Zhang, Haibo Lin, Haoxiang Lin, Tingting Qin:
An Empirical Study on Quality Issues of Production Big Data Platform. ICSE (2) 2015: 17-26 - [c64]Jieming Zhu, Pinjia He, Qiang Fu, Hongyu Zhang, Michael R. Lyu, Dongmei Zhang:
Learning to Log: Helping Developers Make Informed Logging Decisions. ICSE (1) 2015: 415-425 - [c63]Fei Lv, Hongyu Zhang, Jian-Guang Lou, Shaowei Wang, Dongmei Zhang, Jianjun Zhao:
CodeHow: Effective Code Search Based on API Understanding and Extended Boolean Model (E). ASE 2015: 260-270 - [c62]Rui Ding, Hucheng Zhou, Jian-Guang Lou, Hongyu Zhang, Qingwei Lin, Qiang Fu, Dongmei Zhang, Tao Xie:
Log2: A Cost-Aware Logging Mechanism for Performance Diagnosis. USENIX ATC 2015: 139-150 - 2014
- [c61]Sun Ding, Hongyu Zhang, Hee Beng Kuan Tan:
Detecting infeasible branches based on code patterns. CSMR-WCRE 2014: 74-83 - [c60]Meng-Hui Lim, Jian-Guang Lou, Hongyu Zhang, Qiang Fu, Andrew Beng Jin Teoh, Qingwei Lin, Rui Ding, Dongmei Zhang:
Identifying Recurrent and Unknown Performance Issues. ICDM 2014: 320-329 - [c59]Sun Ding, Hee Beng Kuan Tan, Hongyu Zhang:
Automatic Removal of Buffer Overflow Vulnerabilities in C/C++ Programs. ICEIS (2) 2014: 49-59 - [c58]Sun Ding, Hee Beng Kuan Tan, Hongyu Zhang:
ABOR: An Automatic Framework for Buffer Overflow Removal in C/C++Programs. ICEIS (Revised Selected Papers) 2014: 204-221 - [c57]Chu-Pan Wong, Yingfei Xiong, Hongyu Zhang, Dan Hao, Lu Zhang, Hong Mei:
Boosting Bug-Report-Oriented Fault Localization with Segmentation and Stack-Trace Analysis. ICSME 2014: 181-190 - [c56]Hao Hu, Hongyu Zhang, Jifeng Xuan, Weigang Sun:
Effective Bug Triage Based on Historical Bug-Fix Information. ISSRE 2014: 122-132 - [c55]Rongxin Wu, Hongyu Zhang, Shing-Chi Cheung, Sunghun Kim:
CrashLocator: locating crashing faults based on crash stacks. ISSTA 2014: 204-214 - [c54]Yu Cao, Hongyu Zhang, Sun Ding:
SymCrash: selective recording for reproducing crashes. ASE 2014: 791-802 - [c53]Kaiping Liu, Hee Beng Kuan Tan, Hongyu Zhang:
Mining key and referential constraints enforcement patterns. SAC 2014: 850-854 - [c52]Chengnian Sun, Haidong Zhang, Jian-Guang Lou, Hongyu Zhang, Qiang Wang, Dongmei Zhang, Siau-Cheng Khoo:
Querying sequential software engineering data. SIGSOFT FSE 2014: 700-710 - [p1]Hai H. Wang, Yuan-Fang Li, Jing Sun, Hongyu Zhang, Jeff Z. Pan:
Towards a Consistent Feature Model using OWL. Semantic Web Enabled Software Engineering 2014: 67-91 - [e5]Steve Counsell, Michele Marchesi, Corrado Aaron Visaggio, Hongyu Zhang, Radhika Venkatasubramanyam:
Proceedings of the 5th International Workshop on Emerging Trends in Software Metrics, WETSoM 2014, Hyderabad, India, June 3, 2014. ACM 2014, ISBN 978-1-4503-2854-8 [contents] - [e4]Tomoyuki Aotani, Kung Chen, Shigeru Chiba, Takashi Ishio, Hidehiko Masuhara, Hongyu Zhang, Jianjun Zhao:
Proceedings of the 9th International Workshop on Advanced Modularization Techniques, AOAsia 2014, Hong Kong, China, November 16, 2014. ACM 2014, ISBN 978-1-4503-1818-1 [contents] - [i2]Liang Gong, Hongyu Zhang, Hyunmin Seo, Sunghun Kim:
Locating Crashing Faults based on Crash Stack Traces. CoRR abs/1404.4100 (2014) - 2013
- [j18]Giulio Concas, Maria Ilaria Lunesu, Michele Marchesi, Hongyu Zhang:
Simulation of software maintenance process, with and without a work-in-process limit. J. Softw. Evol. Process. 25(12): 1225-1248 (2013) - [j17]Fayola Peters, Tim Menzies, Liang Gong, Hongyu Zhang:
Balancing Privacy and Utility in Cross-Company Defect Prediction. IEEE Trans. Software Eng. 39(8): 1054-1068 (2013) - [c51]Dan Hao, Tian Lan, Hongyu Zhang, Chao Guo, Lu Zhang:
Is This a Bug or an Obsolete Test? ECOOP 2013: 602-628 - [c50]Hongyu Zhang, Liang Gong, Steven Versteeg:
Predicting bug-fixing time: an empirical study of commercial software projects. ICSE 2013: 1042-1051 - [c49]Jue Wang, Yingnong Dang, Hongyu Zhang, Kai Chen, Tao Xie, Dongmei Zhang:
Mining succinct and high-coverage API usage patterns from source code. MSR 2013: 319-328 - [c48]Hongyu Zhang, Shing-Chi Cheung:
A cost-effectiveness criterion for applying software defect prediction models. ESEC/SIGSOFT FSE 2013: 643-646 - [c47]Jiangtao Gong, Hongyu Zhang:
BugMap: a topographic map of bugs. ESEC/SIGSOFT FSE 2013: 647-650 - [c46]Kaiping Liu, Hee Beng Kuan Tan, Hongyu Zhang:
Has this bug been reported? WCRE 2013: 82-91 - 2012
- [j16]Ming Li, Hongyu Zhang, Rongxin Wu, Zhi-Hua Zhou:
Sample-based software defect prediction with active and semi-supervised learning. Autom. Softw. Eng. 19(2): 201-230 (2012) - [c45]Minh H. Tran, Alan W. Colman, Jun Han, Hongyu Zhang:
Modeling and Verification of Context-Aware Systems. APSEC 2012: 79-84 - [c44]Jian Zhou, Hongyu Zhang:
Learning to rank duplicate bug reports. CIKM 2012: 852-861 - [c43]Sun Ding, Hee Beng Kuan Tan, Kaiping Liu, Mahinthan Chandramohan, Hongyu Zhang:
Detection of Buffer Overflow Vulnerabilities in C/C++ with Pattern Based Limited Symbolic Evaluation. COMPSAC Workshops 2012: 559-564 - [c42]Jue Wang, Hongyu Zhang:
Predicting defect numbers based on defect state transition models. ESEM 2012: 191-200 - [c41]Jian Zhou, Hongyu Zhang, David Lo:
Where should the bugs be fixed? More accurate information retrieval-based bug localization based on bug reports. ICSE 2012: 14-24 - [c40]Yingnong Dang, Rongxin Wu, Hongyu Zhang, Dongmei Zhang, Peter Nobel:
ReBucket: A method for clustering duplicate crash reports based on call stack similarity. ICSE 2012: 1084-1093 - [c39]Liang Gong, David Lo, Lingxiao Jiang, Hongyu Zhang:
Interactive fault localization leveraging simple user feedback. ICSM 2012: 67-76 - [c38]Liang Gong, David Lo, Lingxiao Jiang, Hongyu Zhang:
Diversity maximization speedup for fault localization. ASE 2012: 30-39 - [c37]David J. Anderson, Giulio Concas, Maria Ilaria Lunesu, Michele Marchesi, Hongyu Zhang:
A Comparative Study of Scrum and Kanban Approaches on a Real Case Study Using Simulation. XP 2012: 123-137 - [e3]Giulio Concas, Gerardo Canfora, Ewan D. Tempero, Hongyu Zhang:
Proceedings of the 3rd International Workshop on Emerging Trends in Software Metrics, WETSoM 2012, Zurich, Switzerland, June 3, 2012. IEEE Computer Society 2012, ISBN 978-1-4673-1762-7 [contents] - 2011
- [j15]Hongyu Zhang, Hee Beng Kuan Tan, Lu Zhang, Xi Lin, Xiaoyin Wang, Chun Zhang, Hong Mei:
Checking enforcement of integrity constraints in database applications based on code patterns. J. Syst. Softw. 84(12): 2253-2264 (2011) - [c36]Sunghun Kim, Hongyu Zhang, Rongxin Wu, Liang Gong:
Dealing with noise in defect prediction. ICSE 2011: 481-490 - [c35]Giulio Concas, Massimiliano Di Penta, Ewan D. Tempero, Hongyu Zhang:
Workshop on emerging trends in software metrics: (WETSoM 2011). ICSE 2011: 1224-1225 - [c34]Stan Jarzabek, Ulf Pettersson, Hongyu Zhang:
University-Industry Collaboration Journey towards Product Lines. ICSR 2011: 223-237 - [c33]Yuan-Fang Li, Hongyu Zhang:
Integrating software engineering data using semantic web technologies. MSR 2011: 211-214 - [c32]Kaiping Liu, Hee Beng Kuan Tan, Xu Chen, Hongyu Zhang, Bindu Padmanabhuni:
Automated Extraction of Data Lifecycle Support from Database Applications. SEKE 2011: 432-437 - [c31]Rongxin Wu, Hongyu Zhang, Sunghun Kim, Shing-Chi Cheung:
ReLink: recovering links between bugs and changes. SIGSOFT FSE 2011: 15-25 - [e2]Giulio Concas, Ewan D. Tempero, Hongyu Zhang, Massimiliano Di Penta:
Proceedings of the 2nd International Workshop on Emerging Trends in Software Metrics, WETSoM 2011, Waikiki, Honolulu, HI, USA, May 24, 2011. ACM 2011, ISBN 978-1-4503-0593-8 [contents] - 2010
- [j14]Giulio Concas, Giovanni Cantone, Ewan D. Tempero, Hongyu Zhang:
New Generation of Software Metrics. Adv. Softw. Eng. 2010: 913892:1-913892:2 (2010) - [j13]Hongyu Zhang, Yuan-Fang Li, Hee Beng Kuan Tan:
Measuring design complexity of semantic web ontologies. J. Syst. Softw. 83(5): 803-814 (2010) - [j12]Gerardo Canfora, Giulio Concas, Michele Marchesi, Ewan D. Tempero, Hongyu Zhang:
2010 ICSE workshop on emerging trends in software metrics. ACM SIGSOFT Softw. Eng. Notes 35(5): 51-53 (2010) - [j11]Hongyu Zhang, Sunghun Kim:
Monitoring Software Quality Evolution for Defects. IEEE Softw. 27(4): 58-64 (2010) - [c30]Gerardo Canfora, Giulio Concas, Michele Marchesi, Ewan D. Tempero, Hongyu Zhang:
Workshop on Emerging Trends in Software Metrics (WETSoM 2010). ICSE (2) 2010: 459-460 - [c29]Hongyu Zhang, Bei Shi, Lu Zhang:
Automatic checking of license compliance. ICSM 2010: 1-3 - [c28]Hongyu Zhang, Rongxin Wu:
Sampling program quality. ICSM 2010: 1-10 - [c27]Hongyu Zhang, Adam Nelson, Tim Menzies:
On the value of learning from defect dense components for software defect prediction. PROMISE 2010: 14 - [c26]Hongyu Zhang, Stan Jarzabek:
A Hybrid Approach to Feature-Oriented Programming in XVCL. SPLC 2010: 440-445 - [e1]Gerardo Canfora, Giulio Concas, Michele Marchesi, Ewan D. Tempero, Hongyu Zhang:
Proceedings of the 2010 ICSE Workshop on Emerging Trends in Software Metrics, WETSoM 2010, Cape Town, South Africa, May 4, 2010. ACM 2010, ISBN 978-1-60558-976-3 [contents]
2000 – 2009
- 2009
- [j10]Hongyu Zhang:
Discovering power laws in computer programs. Inf. Process. Manag. 45(4): 477-483 (2009) - [j9]Hee Beng Kuan Tan, Yuan Zhao, Hongyu Zhang:
Conceptual data model-based software size estimation for information systems. ACM Trans. Softw. Eng. Methodol. 19(2): 4:1-4:37 (2009) - [c25]Stan Jarzabek, Yinxing Xue, Hongyu Zhang, Youpeng Lee:
Avoiding Some Common Preprocessing Pitfalls with Feature Queries. APSEC 2009: 283-290 - [c24]Wenting Ma, Lin Liu, Haihua Xie, Hongyu Zhang, Jinglei Yin:
Preference Model Driven Services Selection. CAiSE 2009: 216-230 - [c23]Stan Jarzabek, Hongyu Zhang, Youpeng Lee, Yinxing Xue, Naveed Shaikh:
Increasing usability of preprocessing for feature management in product lines with queries. ICSE Companion 2009: 215-218 - [c22]Hongyu Zhang:
An investigation of the relationships between lines of code and defects. ICSM 2009: 274-283 - [c21]Lin Liu, Hongyu Zhang, Fei Peng, Wenting Ma, Yuhui Shan, Jun Xu, Tomas Burda:
Understanding Chinese Characteristics of Requirements Engineering. RE 2009: 261-266 - [i1]Hongyu Zhang, Hee Beng Kuan Tan, Michele Marchesi:
The Distribution of Program Sizes and Its Implications: An Eclipse Case Study. CoRR abs/0905.2288 (2009) - 2008
- [j8]Yuhai Liu, Guo-Zheng Li, Hongyu Zhang, Mary Qu Yang, Jack Y. Yang:
Feature selection for gene function prediction using multi-labelled lazy learning. Int. J. Funct. Informatics Pers. Medicine 1(3): 223-233 (2008) - [j7]Hongyu Zhang:
On the Distribution of Software Faults. IEEE Trans. Software Eng. 34(2): 301-302 (2008) - [c20]Hongyu Zhang:
An initial study of the growth of eclipse defects. MSR 2008: 141-144 - [c19]Hongyu Zhang:
Exploring Regularity in Source Code: Software Science and Zipf's Law. WCRE 2008: 101-110 - [c18]Hongyu Zhang:
The scale-free nature of semantic web ontology. WWW 2008: 1047-1048 - 2007
- [j6]Hongyu Zhang, Xiuzhen Zhang:
Comments on "Data Mining Static Code Attributes to Learn Defect Predictors". IEEE Trans. Software Eng. 33(9): 635-637 (2007) - [j5]Hai H. Wang, Yuan-Fang Li, Jing Sun, Hongyu Zhang, Jeff Z. Pan:
Verifying feature models using OWL. J. Web Semant. 5(2): 117-129 (2007) - [c17]Hongyu Zhang, Hee Beng Kuan Tan:
An Empirical Study of Class Sizes for Large Java Systems. APSEC 2007: 230-237 - [c16]Hongyu Zhang, Xiuzhen Zhang, Ming Gu:
Predicting Defective Software Components from Code Complexity Measures. PRDC 2007: 93-96 - [c15]Ding Peng, Stan Jarzabek, Damith C. Rajapakse, Hongyu Zhang:
Reuse of Database Access Layer Components in JEE Product Lines: Limitations and a Possible Solution (Case Study). SEKE 2007: 308-313 - 2006
- [j4]Stan Jarzabek, Hongyu Zhang, Ru Shen, Vu Tung Lam, Zhenxin Sun:
Analysis of Meta-programs: an Example. Int. J. Softw. Eng. Knowl. Eng. 16(1): 77-102 (2006) - [c14]Hee Beng Kuan Tan, Yuan Zhao, Hongyu Zhang:
Estimating LOC for information systems from their conceptual data models. ICSE 2006: 321-330 - 2005
- [j3]Hongyu Zhang, Stan Jarzabek:
A Bayesian Network Approach to Rational Architectural Design. Int. J. Softw. Eng. Knowl. Eng. 15(4): 695-718 (2005) - [c13]Jing Sun, Hongyu Zhang, Yuan-Fang Li, Hai H. Wang:
Formal Semantics and Verification for Feature Modeling. ICECCS 2005: 303-312 - [c12]Hai H. Wang, Yuan-Fang Li, Jing Sun, Hongyu Zhang:
Verify Feature Models using protegeowl. WWW (Special interest tracks and posters) 2005: 1038-1039 - 2004
- [j2]Hongyu Zhang, Stanislaw Jarzabek:
XVCL: a mechanism for handling variants in software product lines. Sci. Comput. Program. 53(3): 381-407 (2004) - [c11]Stan Jarzabek, Ru Shen, Hongyu Zhang, Zhenxin Sun:
Analysis of meta-programs: a case study. SEKE 2004: 68-73 - 2003
- [j1]Stan Jarzabek, Wai Chun Ong, Hongyu Zhang:
Handling variant requirements in domain modeling. J. Syst. Softw. 68(3): 171-182 (2003) - [c10]Hongyu Zhang, Stan Jarzabek:
An XVCL Approach to Handling Variants: A KWIC Product Line Example. APSEC 2003: 116-125 - [c9]Hongyu Zhang, Stan Jarzabek, Bo Yang:
Quality Prediction and Assessment for Product Lines. CAiSE 2003: 681-695 - [c8]Stan Jarzabek, Paul Bassett, Hongyu Zhang, Weishan Zhang:
XVCL: XML-based Variant Configuration Language. ICSE 2003: 810-811 - [c7]Hongyu Zhang, Stan Jarzabek:
An XVCL-based Approach to Software Product Line Development. SEKE 2003: 267-275 - 2002
- [c6]Soe Myat Swe, Hongyu Zhang, Stan Jarzabek:
XVCL: a tutorial. SEKE 2002: 341-349 - 2001
- [c5]Hongyu Zhang, Stan Jarzabek, Soe Myat Swe:
XVCL Approach to Separating Concerns in Product Family Assets. GCSE 2001: 36-47 - [c4]Stan Jarzabek, Hongyu Zhang:
XML-Based Method and Tool for Handling Variant Requirements in Domain Models. RE 2001: 166-173 - [c3]Stan Jarzabek, Wai Chun Ong, Hongyu Zhang:
Handling Variant Requirements in 9omain Modeling. SEKE 2001: 61-68 - [c2]Stan Jarzabek, Hongyu Zhang:
Enhacing component reuse with control flow abstraction analysis. SEKE 2001: 171-178 - [c1]Tak Wong, Stan Jarzabek, Soe Myat Swe, Ru Shen, Hongyu Zhang:
XML implementation of frame processor. SSR 2001: 164-172
Coauthor Index
Stan Jarzabek
aka: Stanislaw Jarzabek
aka: Stanislaw Jarzabek
Xiaoyuan Jing
aka: Xiao-Yuan Jing
aka: Xiao-Yuan Jing
[c186] [c185] [c178] [c167] [i53] [c153] [c152] [c145] [c143] [c141] [i34] [i20] [c140] [c139] [c134] [c133] [c129] [c126] [c125] [c124] [c123] [c122] [c121] [c119] [i17] [c115] [c112] [c111] [c110] [c108] [c107] [c105] [c104] [c98] [c96] [c93] [c92] [c90] [c89] [c82] [c81] [c80] [c79] [c72] [c70] [p3] [c62] [c60]
[c210] [j42] [c186] [c185] [c180] [c178] [c175] [c168] [c167] [i53] [i50] [i45] [j36] [c166] [c165] [c159] [c153] [c152] [c151] [c145] [c141] [i34] [i32] [i30] [i29] [i27] [i24] [i23] [i20] [c136] [c134] [c131] [c129] [c126] [c125] [c124] [c123] [c122] [c121] [c119] [i15] [i14] [i13] [i10] [c112] [c111] [c110] [c108] [c107] [c105] [c104] [c98] [c96] [c92] [c90] [c89] [c82] [c81] [c80] [c79] [c74] [i5] [c70] [c67] [p3] [p2] [i3] [c64] [c63] [c62] [c60] [c52] [c49] [c40]
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last updated on 2024-12-26 01:53 CET by the dblp team
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