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ORCIDHao Zhong 0001
Person information
- affiliation: Shanghai Jiao Tong University, Department of Computer Science and Engineering, China
- affiliation (2013-2014): University of California, Davis, CA, USA
- affiliation: Chinese Academy of Sciences, Institute of Software, China
- affiliation (PhD 2009): Peking University, Beijing, China
Other persons with the same name
- Hao Zhong — disambiguation page
- Hao Zhong 0002
![[0000-0001-5947-1729]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-5947-1729")
— Rutgers University, Rutgers Business School, Management Science and Information Systems Department, Newark, NJ, USA - Hao Zhong 0003 — Tianjin Medical University General Hospital, Department of Orthopedics, International Science and Technology Cooperation Base of Spinal Cord Injury, China
- Hao Zhong 0004 — University of Macau, State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, ICMS, China
- Hao Zhong 0005 — Purdue University, PRISM Center, School of Industrial Engineering, West Lafayette, IN, USA
- Hao Zhong 0006 — Rensselaer Polytechnic Institute, Department of Electrical, Computer and Systems Engineering, Troy, NY, USA (and 2 more)
- Hao Zhong 0007 — South China Normal University, School of Computer Science, Guangzhou, China (and 1 more)
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2020 – today
- 2024
[j22]Xing Chen, Ming Li, Hao Zhong, Xiaona Chen, Yun Ma, Ching-Hsien Hsu:
FUNOff: Offloading Applications at Function Granularity for Mobile Edge Computing. IEEE Trans. Mob. Comput. 23(2): 1717-1734 (2024)- [j21]Sebastián Uchitel, Marsha Chechik, Massimiliano Di Penta, Bram Adams, Nazareno Aguirre, Gabriele Bavota, Domenico Bianculli, Kelly Blincoe, Ana Cavalcanti, Yvonne Dittrich, Filomena Ferrucci, Rashina Hoda, LiGuo Huang, David Lo, Michael R. Lyu, Lei Ma, Jonathan I. Maletic, Leonardo Mariani, Collin McMillan, Tim Menzies, Martin Monperrus, Ana Moreno, Nachiappan Nagappan, Liliana Pasquale, Patrizio Pelliccione, Michael Pradel, Rahul Purandare, Sukyoung Ryu, Mehrdad Sabetzadeh, Alexander Serebrenik, Jun Sun, Chakkrit Kla Tantithamthavorn, Christoph Treude, Manuel Wimmer, Yingfei Xiong, Tao Yue, Andy Zaidman, Tao Zhang, Hao Zhong:
Scoping Software Engineering for AI: The TSE Perspective. IEEE Trans. Software Eng. 50(11): 2709-2711 (2024) - [c58]Hao Zhong, Na Meng:
Compiler-directed Migrating API Callsite of Client Code. ICSE 2024: 226:1-226:12 - [c57]Honghao Chen, Ye Tang, Hao Zhong:
An Empirical Study on Cross-language Clone Bugs. ICSE Companion 2024: 280-281 - [i4]Sheik Murad Hassan Anik, Xinghua Gao, Hao Zhong, Xiaoyin Wang, Na Meng:
Automation Configuration in Smart Home Systems: Challenges and Opportunities. CoRR abs/2408.04755 (2024) - 2023
- [j20]Hao Zhong, Xiaoyin Wang:
An empirical study on API usages from code search engine and local library. Empir. Softw. Eng. 28(3): 63 (2023) - [j19]Aoyang Yan, Hao Zhong, Daohan Song, Li Jia:
How do programmers fix bugs as workarounds? An empirical study on Apache projects. Empir. Softw. Eng. 28(4): 96 (2023) - 2022
- [j18]Xing Chen, Ming Li, Hao Zhong, Yun Ma, Ching-Hsien Hsu:
DNNOff: Offloading DNN-Based Intelligent IoT Applications in Mobile Edge Computing. IEEE Trans. Ind. Informatics 18(4): 2820-2829 (2022) - [j17]Hao Zhong, Xiaoyin Wang, Hong Mei:
Inferring Bug Signatures to Detect Real Bugs. IEEE Trans. Software Eng. 48(2): 571-584 (2022) - [c56]Aoyang Yan, Hao Zhong, Daohan Song, Li Jia:
The Symptoms, Causes, and Repairs of Workarounds in Apache Issue Trackers. ICSE-Companion 2022: 364-365 - [c55]Hao Zhong:
Enriching Compiler Testing with Real Program from Bug Report. ASE 2022: 40:1-40:12 - [c54]Hao Zhong:
Which Exception Shall We Throw? ASE 2022: 116:1-116:12 - [c53]Yanjie Jiang, Hui Liu, Yuxia Zhang, Weixing Ji, Hao Zhong, Lu Zhang:
Do bugs lead to unnaturalness of source code? ESEC/SIGSOFT FSE 2022: 1085-1096 - [c52]Siyi Gong, Hao Zhong:
A study on identifying code author from real development. ESEC/SIGSOFT FSE 2022: 1627-1631 - [c51]Li Jia, Hao Zhong, Xiaoyin Wang, Linpeng Huang, Zexuan Li:
How Do Injected Bugs Affect Deep Learning? SANER 2022: 793-804 - 2021
- [j16]Jianpeng Hu, Linpeng Huang, Tianqi Sun, Ying Fan, Wenqiang Hu, Hao Zhong:
Proactive planning of bandwidth resource using simulation-based what-if predictions for Web services in the cloud. Frontiers Comput. Sci. 15(1): 151201 (2021) - [j15]Li Jia, Hao Zhong, Xiaoyin Wang, Linpeng Huang, Xuansheng Lu:
The symptoms, causes, and repairs of bugs inside a deep learning library. J. Syst. Softw. 177: 110935 (2021) - [j14]Zijian Jiang, Hao Zhong, Na Meng:
Investigating and recommending co-changed entities for JavaScript programs. J. Syst. Softw. 180: 111027 (2021) - [c50]Hushuang Zeng, Jingxin Chen, Beijun Shen, Hao Zhong:
Mining API Constraints from Library and Client to Detect API Misuses. APSEC 2021: 161-170 - [c49]Fariha Nusrat, Foyzul Hassan, Hao Zhong, Xiaoyin Wang:
How Developers Optimize Virtual Reality Applications: A Study of Optimization Commits in Open Source Unity Projects. ICSE 2021: 473-485 - [c48]Li Jia, Hao Zhong, Linpeng Huang:
The Unit Test Quality of Deep Learning Libraries: A Mutation Analysis. ICSME 2021: 47-57 - [c47]Na Meng, Zijian Jiang, Hao Zhong:
Classifying Code Commits with Convolutional Neural Networks. IJCNN 2021: 1-8 - [c46]Siyi Gong, Hao Zhong:
Code Authors Hidden in File Revision Histories: An Empirical Study. ICPC 2021: 71-82 - [c45]Shouliang Yang, Junming Cao, Hushuang Zeng, Beijun Shen, Hao Zhong:
Locating Faulty Methods with a Mixed RNN and Attention Model. ICPC 2021: 207-218 - [c44]Lin Xu, Hao Zhong:
Detecting Inconsistent Thrown Exceptions. ICPC 2021: 391-395 - [c43]Zexuan Li, Hao Zhong:
Revisiting Textual Feature of Bug-Triage Approach. ASE 2021: 1183-1185 - [c42]Zexuan Li, Hao Zhong:
Understanding Code Fragments with Issue Reports. ASE 2021: 1312-1316 - [c41]Zexuan Li, Hao Zhong:
An Empirical Study on Obsolete Issue Reports. ASE 2021: 1317-1321 - [i3]Zijian Jiang, Hao Zhong, Na Meng:
Investigating and Recommending Co-Changed Entities for JavaScript Programs. CoRR abs/2102.07877 (2021) - [i2]Shouliang Yang, Junming Cao, Hushuang Zeng, Beijun Shen, Hao Zhong:
Locating Faulty Methods with a Mixed RNN and Attention Model. CoRR abs/2103.10675 (2021) - [i1]Hao Zhong, Na Meng:
Migrating Client Code without Change Examples. CoRR abs/2105.02389 (2021) - 2020
- [j13]Hao Zhong, Hong Mei:
Learning a graph-based classifier for fault localization. Sci. China Inf. Sci. 63(6) (2020) - [j12]Zijian Jiang, Ye Wang, Hao Zhong, Na Meng:
Automatic method change suggestion to complement multi-entity edits. J. Syst. Softw. 159 (2020) - [c40]Li Jia, Hao Zhong, Xiaoyin Wang, Linpeng Huang, Xuansheng Lu:
An Empirical Study on Bugs Inside TensorFlow. DASFAA (1) 2020: 604-620 - [c39]Hao Zhong, Na Meng, Zexuan Li, Li Jia:
An empirical study on API parameter rules. ICSE 2020: 899-911 - [c38]Junming Cao, Shouliang Yang, Wenhui Jiang, Hushuang Zeng, Beijun Shen, Hao Zhong:
BugPecker: Locating Faulty Methods with Deep Learning on Revision Graphs. ASE 2020: 1214-1218 - [c37]Daohan Song, Hao Zhong, Li Jia:
The Symptom, Cause and Repair of Workaround. ASE 2020: 1264-1266
2010 – 2019
- 2019
- [j11]Xing Chen, Jiaqing Chen, Bichun Liu, Yun Ma, Ying Zhang, Hao Zhong:
AndroidOff: Offloading android application based on cost estimation. J. Syst. Softw. 158 (2019) - [j10]Hao Zhong, Hong Mei:
An Empirical Study on API Usages. IEEE Trans. Software Eng. 45(4): 319-334 (2019) - [c36]Xue Qin, Hao Zhong, Xiaoyin Wang:
TestMig: migrating GUI test cases from iOS to Android. ISSTA 2019: 284-295 - [c35]Shufan Zhou, Beijun Shen, Hao Zhong:
Lancer: Your Code Tell Me What You Need. ASE 2019: 1202-1205 - 2018
- [j9]Hao Zhong, Na Meng:
Towards reusing hints from past fixes - An exploratory study on thousands of real samples. Empir. Softw. Eng. 23(5): 2521-2549 (2018) - [j8]Anil Kumar Karna, Jinbo Du, Haihao Shen, Hao Zhong, Jiong Gong, Haibo Yu, Xiangning Ma, Jianjun Zhao:
Tuning parallel symbolic execution engine for better performance. Frontiers Comput. Sci. 12(1): 86-100 (2018) - [j7]Anil Kumar Karna, Yuting Chen, Haibo Yu, Hao Zhong, Jianjun Zhao:
The role of model checking in software engineering. Frontiers Comput. Sci. 12(4): 642-668 (2018) - [j6]Hao Zhong, Hong Mei:
Mining repair model for exception-related bug. J. Syst. Softw. 141: 16-31 (2018) - [c34]Shufan Zhou, Hao Zhong, Beijun Shen:
SLAMPA: Recommending Code Snippets with Statistical Language Model. APSEC 2018: 79-88 - [c33]Hao Zhong, Na Meng:
Towards reusing hints from past fixes: an exploratory study on thousands of real samples. ICSE 2018: 885 - [c32]Ye Wang, Na Meng, Hao Zhong:
An Empirical Study of Multi-entity Changes in Real Bug Fixes. ICSME 2018: 287-298 - [c31]Ye Wang, Na Meng, Hao Zhong:
CMSuggester: Method Change Suggestion to Complement Multi-entity Edits. SATE 2018: 137-153 - [c30]Xuliang Liu, Hao Zhong:
Mining stackoverflow for program repair. SANER 2018: 118-129 - 2017
- [j5]Xiao Cheng, Zhiming Peng, Lingxiao Jiang, Hao Zhong, Haibo Yu, Jianjun Zhao:
CLCMiner: Detecting Cross-Language Clones without Intermediates. IEICE Trans. Inf. Syst. 100-D(2): 273-284 (2017) - [j4]Ziyi Lin, Yilei Zhou, Hao Zhong, Yuting Chen, Haibo Yu, Jianjun Zhao:
SPDebugger: A Fine-Grained Deterministic Debugger for Concurrency Code. IEICE Trans. Inf. Syst. 100-D(3): 473-482 (2017) - [c29]Feiyue Yu, Hao Zhong, Beijun Shen:
How Do Programmers Maintain Concurrent Code? APSEC 2017: 594-599 - [c28]Hao Zhong, Na Meng:
An empirical study on using hints from past fixes: poster. ICSE (Companion Volume) 2017: 144-145 - [c27]Yingyi Wang, Yuting Chen, Beijun Shen, Hao Zhong:
CRSearcher: Searching Code Database for Repairing Bugs. Internetware 2017: 16:1-16:6 - [c26]Hao Zhong, Xiaoyin Wang:
Boosting complete-code tool for partial program. ASE 2017: 671-681 - 2016
- [c25]Xiaoning Liu, Beijun Shen, Hao Zhong, Jiangang Zhu:
EXPSOL: Recommending Online Threads for Exception-Related Bug Reports. APSEC 2016: 25-32 - [c24]Peng Yu, Renke Wu, Haojie Zhou, Haibo Yu, Yuting Chen, Hao Zhong:
Multicast routing tree for sequenced packet transmission in software-defined networks. Internetware 2016: 27-35 - [c23]Kai Shen, Renke Wu, Haojie Zhou, Haibo Yu, Hao Zhong:
A failure detection solution for multiple QoS in data center networks. Internetware 2016: 91-94 - [c22]Xiao Cheng, Hao Zhong, Yuting Chen, Zhenjiang Hu, Jianjun Zhao:
Rule-directed code clone synchronization. ICPC 2016: 1-10 - [c21]Xiao Cheng, Lingxiao Jiang, Hao Zhong, Haibo Yu, Jianjun Zhao:
On the feasibility of detecting cross-platform code clones via identifier similarity. SoftwareMining@ASE 2016: 39-42 - [c20]Ziyi Lin, Hao Zhong, Yuting Chen, Jianjun Zhao:
LockPeeker: detecting latent locks in Java APIs. ASE 2016: 368-378 - [c19]Xiao Cheng, Zhiming Peng, Lingxiao Jiang, Hao Zhong, Haibo Yu, Jianjun Zhao:
Mining revision histories to detect cross-language clones without intermediates. ASE 2016: 696-701 - [c18]Xiao Cheng, Yuting Chen, Zhenjiang Hu, Tao Zan, Mengyu Liu, Hao Zhong, Jianjun Zhao:
Supporting Selective Undo for Refactoring. SANER 2016: 13-23 - 2015
- [c17]Hao Zhong, Zhendong Su:
An Empirical Study on Real Bug Fixes. ICSE (1) 2015: 913-923 - [c16]Wenkai Mo, Beijun Shen, Yuming He, Hao Zhong:
GEMiner: Mining Social and Programming Behaviors to Identify Experts in Github. Internetware 2015: 93-101 - [c15]Ziyi Lin, Darko Marinov, Hao Zhong, Yuting Chen, Jianjun Zhao:
JaConTeBe: A Benchmark Suite of Real-World Java Concurrency Bugs (T). ASE 2015: 178-189 - [c14]Luxi Chen, Linpeng Huang, Hao Zhong, Chen Li, Xiwen Wu:
Breeze: A modeling tool for designing, analyzing, and improving software architecture. RE 2015: 284-285 - [c13]Shixiong Zhao, Beijun Shen, Yuting Chen, Hao Zhong:
Towards Effective Developer Recommendation in Software Crowdsourcing. SEKE 2015: 326-329 - 2013
- [c12]Hao Zhong, Suresh Thummalapenta, Tao Xie:
Exposing Behavioral Differences in Cross-Language API Mapping Relations. FASE 2013: 130-145 - [c11]Hao Zhong, Zhendong Su:
Detecting API documentation errors. OOPSLA 2013: 803-816 - 2012
- [c10]Hao Zhong, Ye Yang, Jacky W. Keung:
Assessing the Representativeness of Open Source Projects in Empirical Software Engineering Studies. APSEC 2012: 808-817 - [c9]Rahul Pandita, Xusheng Xiao, Hao Zhong, Tao Xie, Stephen Oney, Amit M. Paradkar:
Inferring method specifications from natural language API descriptions. ICSE 2012: 815-825 - 2011
- [j3]Hao Zhong, Lu Zhang, Tao Xie, Hong Mei:
Inferring specifications for resources from natural language API documentation. Autom. Softw. Eng. 18(3-4): 227-261 (2011) - [c8]Lin Shi, Hao Zhong, Tao Xie, Mingshu Li:
An Empirical Study on Evolution of API Documentation. FASE 2011: 416-431 - 2010
- [j2]Shengli Sun, Zhenghua Huang, Hao Zhong, Dongbo Dai, Hongbin Liu, Jinjiu Li:
Efficient monitoring of skyline queries over distributed data streams. Knowl. Inf. Syst. 25(3): 575-606 (2010) - [c7]Hao Zhong, Suresh Thummalapenta, Tao Xie, Lu Zhang, Qing Wang:
Mining API mapping for language migration. ICSE (1) 2010: 195-204
2000 – 2009
- 2009
- [c6]Hao Zhong, Tao Xie, Lu Zhang, Jian Pei, Hong Mei:
MAPO: Mining and Recommending API Usage Patterns. ECOOP 2009: 318-343 - [c5]Hao Zhong, Lu Zhang, Tao Xie, Hong Mei:
Inferring Resource Specifications from Natural Language API Documentation. ASE 2009: 307-318 - 2008
- [j1]Hao Zhong, Lu Zhang, Hong Mei:
An experimental study of four typical test suite reduction techniques. Inf. Softw. Technol. 50(6): 534-546 (2008) - [c4]Hao Zhong, Lu Zhang, Hong Mei:
Early Filtering of Polluting Method Calls for Mining Temporal Specifications. APSEC 2008: 9-16 - [c3]Hao Zhong, Lu Zhang, Hong Mei:
Inferring Specifications of Object Oriented APIs from API Source Code. APSEC 2008: 221-228 - 2006
- [c2]Hao Zhong, Lu Zhang, Hong Mei:
An experimental comparison of four test suite reduction techniques. ICSE 2006: 636-640 - 2005
- [c1]Dan Hao, Lu Zhang, Hao Zhong, Hong Mei, Jiasu Sun:
Eliminating Harmful Redundancy for Testing-Based Fault Localization Using Test Suite Reduction: An Experimental Study. ICSM 2005: 683-686
Coauthor Index
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