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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.org/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
[j57]Di Wu, Yang Feng, Hongyu Zhang, Baowen Xu:
Automatic recognizing relevant fragments of APIs using API references. Autom. Softw. Eng. 31(1): 3 (2024)- [j56]Di Wu, Hongyu Zhang, Yang Feng, Zhenjiang Dong, Ying Sun:
The future of API analytics. Autom. Softw. Eng. 31(2): 50 (2024) - [j55]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) - [j54]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) - [j53]Van-Hoang Le, Hongyu Zhang:
PreLog: A Pre-trained Model for Log Analytics. Proc. ACM Manag. Data 2(3): 163 (2024) - [j52]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) - [j51]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) - [j50]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) - [j49]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) - [j48]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) - [j47]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) - [j46]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) - [j45]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) - [j44]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) - [c204]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 - [c203]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 - [c202]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 - [c201]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 - [c200]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 - [c199]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 - [c198]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 - [c197]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 - [c196]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 - [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 - [i78]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) - [i77]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) - [i76]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) - [i75]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) - [i74]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) - [i73]Lam Ngo, Huong Ha, Jeffrey Chan, Vu Nguyen, Hongyu Zhang:
High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy. CoRR abs/2402.03104 (2024) - [i72]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) - [i71]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) - [i70]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) - [i69]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) - [i68]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) - [i67]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) - [i66]Yao Wan, Guanghua Wan, Shijie Zhang, Hongyu Zhang, Yulei Sui, Pan Zhou, Hai Jin, Lichao Sun:
Does Your Neural Code Completion Model Use My Code? A Membership Inference Approach. CoRR abs/2404.14296 (2024) - [i65]Batu Guan, Yao Wan, Zhangqian Bi, Zheng Wang, Hongyu Zhang, Yulei Sui, Pan Zhou, Lichao Sun:
CodeIP: A Grammar-Guided Multi-Bit Watermark for Large Language Models of Code. CoRR abs/2404.15639 (2024) - [i64]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) - [i63]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) - [i62]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) - [i61]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) - [i60]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) - [i59]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) - [i58]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) - [i57]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) - 2023
- [j43]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) - [j42]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) - [j41]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) - [j40]Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Zan Wang:
Understanding and predicting incident mitigation time. Inf. Softw. Technol. 155: 107119 (2023) - [j39]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) - [j38]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) - [j37]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) - [j36]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
- [j35]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) - [j34]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]