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Hao 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 — 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
- [j21]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) - [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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