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Chao Liu 0014
Person information
- affiliation: Zhejiang University, College of Computer Science and Technology, Hangzhou, China
- affiliation: Chongqing University, School of Big Data & Software Engineering, MOE Key Laboratory of Dependable Service Computing in Cyber Physical Society, Chongqing, China
Other persons with the same name
- Chao Liu — disambiguation page
- Chao Liu 0001 — Microsoft Research, Redmond, WA, USA (and 1 more)
- Chao Liu 0002 — Beihang University, School of Computer Science and Engineering, Beijing, China
- Chao Liu 0003 — CNRS-University of Montpellier, LIRMM, Robotics Department, France (and 1 more)
- Chao Liu 0004 — Huazhong University of Science and Technology, Department of Computer Science, Wuhan, China
- Chao Liu 0005 — Beihang University, School of Instrumentation Science and Optoelectronics Engineering, Beijing, China
- Chao Liu 0006 — Beijing Normal University, State Key Laboratory of Cognitive Neuroscience and Learning, China (and 2 more)
- Chao Liu 0007 — China University of Geosciences, Wuhan, China
- Chao Liu 0008 — Ocean University of China, Qingdao, China
- Chao Liu 0009 — Northeastern University, Institute of Systems Science, Shenyang, China (and 2 more)
- Chao Liu 0010 — University of Texas at Austin, Materials Science and Engineering Program, Austin, TX, USA
- Chao Liu 0011 — Hangzhou Dianzi University, School of Information Engineering, Hangzhou, China
- Chao Liu 0012 — Queen Mary University of London, School of Electrical Engineering and Computer Science, London, UK
- Chao Liu 0013 — Texas A&M University, College Station, TX, USA (and 2 more)
- Chao Liu 0015 — Beijing University of Technology, College of Economics and Management, Research Base of Beijing Modern Manufacturing Industry Development, Beijing, China
- Chao Liu 0016 — Beihang University, School of Electronic and Information Engineering, Beijing, China
- Chao Liu 0017 — Zhengzhou University, School of Information Engineering, Zhengzhou, China
- Chao Liu 0018 — Naval University of Engineering, College of Electronic Engineering, Wuhan, China
- Chao Liu 0019 — Shanghai Jiao Tong University, School of Mechanical Engineering, State Key Laboratory of Mechanical System and Vibration, Shanghai, China
- Chao Liu 0020 — Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China (and 1 more)
- Chao Liu 0021 — MIT CSAIL, MA, USA (and 1 more)
- Chao Liu 0022 — Beijing Institute of Technology, School of Aerospace Engineering, Key Laboratory of Dynamics and Control of Flight Vehicle, Beijing, China
- Chao Liu 0023 — Chinese Academy of Sciences, Xi'an Institute of Optics and Precision Mechanics, State Key Laboratory of Transient Optics and Photonics, Xi'an, China
- Chao Liu 0024 — Nankai University, Center for Combinatorics, Tianjin, China
- Chao Liu 0025 — Shanghai Jiao Tong University, Department of Computer Science and Engineering, Shanghai, China
- Chao Liu 0026 — Chongqing University of Technology, School of Computer Science and Engineering, Chongqing, China (and 1 more)
- Chao Liu 0027 — Fudan University, Academy for Engineering and Technology, Shanghai, China (and 1 more)
- Chao Liu 0028 — Tsinghua University, Department of Energy and Power Engineering, Beijing, China (and 1 more)
- Chao Liu 0029 — Huaqiao University, Xiamen, China (and 1 more)
- Chao Liu 0030 — Sichuan University, College of Hydraulic and Hydroelectric Engineering, Chengdu, China
- Chao Liu 0031 — Aston University, College of Engineering and Physical Sciences, Birmingham, UK
- Chao Liu 0032 — Blockhouse Technology Ltd., Oxford, UK (and 2 more)
- Chao Liu 0033 — Xi'an Polytechnic University, College of Electronic Information, Xi'an, China
- Chao Liu 0034 — Air Force Engineering University, College of Science, Xi'an, China
- Chao Liu 0035 — University of Science and Technology Beijing, School of Computer and Communication Engineering, Beijing, China
- Chao Liu 0036 — Xi'an University of Science and Technology, School of Safety Science and Engineering, Xi'an, China
- Chao Liu 0037 — University of Colorado, Department of Electrical Engineering, Denver, CO, USA (and 1 more)
- Chao Liu 0039 — University of Maryland, Department of Computer Science and Electrical Engineering, Baltimore County, MD, USA
- Chao Liu 0040 — Huaiyin Institute of Technology, Faculty of Computer and Software Engineering, Huai'an, China
- Chao Liu 0041 — Anhui University of Science and Technology, School of Spatial Informatics and Geomatics Engineering, Huainan, China
- Chao Liu 0042 — SAP Labs, Xi'an, China (and 1 more)
- Chao Liu 0043 — Zhejiang University, Qiushi Academy for Advanced Studies, Hangzhou, China
- Chao Liu 0044 — Xidian University, State Key Laboratory of Integrated Services Network (ISN), Xi'an, China
- Chao Liu 0045 — Civil Aviation University of China, College of Safety Science and Engineering and China Information Security Evaluation Center, Tianjin, China
- Chao Liu 0046 — Shandong Sport University, Wushu College, Jinan, China
- Chao Liu 0047 — Tianjin University of Science and Technology, College of Management and Economics, Tianjin, China
- Chao Liu 0048 — Jilin University, Key Laboratory of Bionic Engineering, Changchun, China (and 1 more)
- Chao Liu 0049 — Kunming University of Science and Technology, Faculty of Management and Economics, Kunming, China
- Chao Liu 0050 — Huazhong University of Science and Technology, School of Mechanical Science and Engineering, Wuhan, China
- Chao Liu 0051 — North China University of Science and Technology, Department of Physical Education, Tangshan, China
- Chao Liu 0052 — City University of Hong Kong, Department of Biomedical Engineering, Hong Kong
- Chao Liu 0053 — Beijing University of Technology, School of Economics and Management, Beijing, China
- Chao Liu 0054 — Harbin Engineering University, College of Computer Science and Technology, Harbin, China (and 1 more)
- Chao Liu 0055 — Iowa State University, Department of Electrical and Computer Engineering, Center for Nondestructive Evaluation, Ames, IA, USA
- Chao Liu 0056 — Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Key Laboratory of Human-Machine Intelligence Synergic Systems, Shenzhen, China (and 1 more)
- Chao Liu 0057 — Henan Normal University, College of Computer and Information Engineering, Xinxiang, China
- Chao Liu 0058 — PLA Academy of Military Sciences, Institute of Systems Engineering, Beijing, China
- Chao Liu 0059 — Qingdao University of Technology, School of Civil Engineering, Qingdao, China
- Chao Liu 0060 — Shandong University, School of Cyber Science and Technology, Jinan, China
- Chao Liu 0061 — Northeastern University, Department of Computer Science and Electrical Engineering, Boston, MA, USA
- Chao Liu 0062 — Brunel University London, Department of Electronic and Computer Engineering, London, UK
- Chao Liu 0063 — Huazhong University of Science and Technology, School of Software Engineering, Wuhan, China
- Chao Liu 0064 — Carnegie Mellon University, Robotics Institute, Pennsylvania, PA, USA
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2020 – today
- 2024
- [j13]Chao Liu, Runfeng Cai, Yiqun Zhou, Xin Chen, Haibo Hu, Meng Yan:
Understanding the implementation issues when using deep learning frameworks. Inf. Softw. Technol. 166: 107367 (2024) - [j12]Zhongyang Deng, Ling Xu, Chao Liu, Luwen Huangfu, Meng Yan:
Code semantic enrichment for deep code search. J. Syst. Softw. 207: 111856 (2024) - [j11]Huanhuan Yang, Ling Xu, Chao Liu, Luwen Huangfu:
Query-oriented two-stage attention-based model for code search. J. Syst. Softw. 210: 111948 (2024) - [j10]Ying Fu, Meng Yan, Pinjia He, Chao Liu, Xiaohong Zhang, Dan Yang:
End-to-end log statement generation at block-level. J. Syst. Softw. 216: 112146 (2024) - [j9]Xiaoqi Yue, Dan Feng, Desheng Sun, Chao Liu, Hongxing Qin, Haibo Hu:
AirPollutionViz: visual analytics for understanding the spatio-temporal evolution of air pollution. J. Vis. 27(2): 215-233 (2024) - [j8]Desheng Sun, Xiaoqi Yue, Chao Liu, Hongxing Qin, Haibo Hu:
SFLVis: visual analysis of software fault localization. J. Vis. 27(4): 585-602 (2024) - [c15]Xiaoqi Yue, Chao Liu, Neng Zhang, Haibo Hu, Xiaohong Zhang:
VisRepo: A Visual Retrieval Tool for Large-Scale Open-Source Projects. Internetware 2024 - [c14]Dong Li, Meng Yan, Yaosheng Zhang, Zhongxin Liu, Chao Liu, Xiaohong Zhang, Ting Chen, David Lo:
CoSec: On-the-Fly Security Hardening of Code LLMs via Supervised Co-decoding. ISSTA 2024: 1428-1439 - [c13]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 - [c12]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 - 2023
- [c11]Zhongqi Chen, Neng Zhang, Pengyue Si, Qinde Chen, Chao Liu, Zibin Zheng:
ShellFusion: An Answer Generator for Shell Programming Tasks via Knowledge Fusion. ICSE Companion 2023: 93-97 - [i4]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) - 2022
- [j7]Chao Liu, Xin Xia, David Lo, Cuiyun Gao, Xiaohu Yang, John C. Grundy:
Opportunities and Challenges in Code Search Tools. ACM Comput. Surv. 54(9): 196:1-196:40 (2022) - [j6]Chao Liu, Xin Xia, David Lo, Zhiwei Liu, Ahmed E. Hassan, Shanping Li:
CodeMatcher: Searching Code Based on Sequential Semantics of Important Query Words. ACM Trans. Softw. Eng. Methodol. 31(1): 12:1-12:37 (2022) - [j5]Chao Liu, Cuiyun Gao, Xin Xia, David Lo, John C. Grundy, Xiaohu Yang:
On the Reproducibility and Replicability of Deep Learning in Software Engineering. ACM Trans. Softw. Eng. Methodol. 31(1): 15:1-15:46 (2022) - [j4]Bei Wang, Ling Xu, Meng Yan, Chao Liu, Ling Liu:
Multi-Dimension Convolutional Neural Network for Bug Localization. IEEE Trans. Serv. Comput. 15(3): 1649-1663 (2022) - [c10]Neng Zhang, Chao Liu, Xin Xia, Christoph Treude, Ying Zou, David Lo, Zibin Zheng:
ShellFusion: Answer Generation for Shell Programming Tasks via Knowledge Fusion. ICSE 2022: 1970-1981 - [c9]Chao Liu, Xuanlin Bao, Xin Xia, Meng Yan, David Lo, Ting Zhang:
CodeMatcher: a tool for large-scale code search based on query semantics matching. ESEC/SIGSOFT FSE 2022: 1642-1646 - [c8]Zhongyang Deng, Ling Xu, Chao Liu, Meng Yan, Zhou Xu, Yan Lei:
Fine-grained Co-Attentive Representation Learning for Semantic Code Search. SANER 2022: 396-407 - 2021
- [c7]Ling Xu, Huanhuan Yang, Chao Liu, Jianhang Shuai, Meng Yan, Yan Lei, Zhou Xu:
Two-Stage Attention-Based Model for Code Search with Textual and Structural Features. SANER 2021: 342-353 - 2020
- [c6]Jianhang Shuai, Ling Xu, Chao Liu, Meng Yan, Xin Xia, Yan Lei:
Improving Code Search with Co-Attentive Representation Learning. ICPC 2020: 196-207 - [i3]Chao Liu, Xin Xia, David Lo, Zhiwei Liu, Ahmed E. Hassan, Shanping Li:
Simplifying Deep-Learning-Based Model for Code Search. CoRR abs/2005.14373 (2020) - [i2]Chao Liu, Cuiyun Gao, Xin Xia, David Lo, John C. Grundy, Xiaohu Yang:
On the Replicability and Reproducibility of Deep Learning in Software Engineering. CoRR abs/2006.14244 (2020) - [i1]Chao Liu, Xin Xia, David Lo, Cuiyun Gao, Xiaohu Yang, John C. Grundy:
Opportunities and Challenges in Code Search Tools. CoRR abs/2011.02297 (2020)
2010 – 2019
- 2019
- [j3]Chao Liu, Dan Yang, Xin Xia, Meng Yan, Xiaohong Zhang:
A two-phase transfer learning model for cross-project defect prediction. Inf. Softw. Technol. 107: 125-136 (2019) - 2018
- [j2]Chao Liu, Dan Yang, Xiaohong Zhang, Baishakhi Ray, Md. Masudur Rahman:
Recommending GitHub Projects for Developer Onboarding. IEEE Access 6: 52082-52094 (2018) - [c5]Chao Liu, Dan Yang, Xin Xia, Meng Yan, Xiaohong Zhang:
Cross-Project Change-Proneness Prediction. COMPSAC (1) 2018: 64-73 - [c4]Chao Liu, Dan Yang, Xiaohong Zhang, Haibo Hu, Jed Barson, Baishakhi Ray:
A recommender system for developer onboarding. ICSE (Companion Volume) 2018: 319-320 - [c3]Yongxin Ge, Min Chen, Chao Liu, Feiyi Chen, Sheng Huang, Hongxing Wang:
Deep Metric Learning for Software Change-Proneness Prediction. IScIDE 2018: 287-300 - 2017
- [j1]Meng Yan, Xiaohong Zhang, Chao Liu, Ling Xu, Mengning Yang, Dan Yang:
Automated change-prone class prediction on unlabeled dataset using unsupervised method. Inf. Softw. Technol. 92: 1-16 (2017) - [c2]Meng Yan, Xiaohong Zhang, Chao Liu, Jie Zou, Ling Xu, Xin Xia:
Learning to aggregate: an automated aggregation method for software quality model. ICSE (Companion Volume) 2017: 268-270 - 2016
- [c1]Meng Yan, Mengning Yang, Chao Liu, Xiaohong Zhang:
Self-learning Change-prone Class Prediction. SEKE 2016: 134-140
Coauthor Index
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