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ORCIDFang Liu 0032
Person information
- affiliation: Peking University, Key Lab of High Confidence Software Technology, School of Computer Science, Beijing, China
Other persons with the same name
- Fang Liu — disambiguation page
- Fang Liu 0001
![[0000-0002-5669-9354]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-5669-9354")
— Xidian University, Key Laboratory of Intelligent Perception and Image Understanding, Xi'an, China - Fang Liu 0002 — HuNan University, School of Design, Changsha, China (and 2 more)
- Fang Liu 0003 — Anhui University, College of Electrical Engineering and Automation, Hefei, China (and 1 more)
- Fang Liu 0004 — Shenyang Ligong University, School of Information Science and Engineering, China
- Fang Liu 0005 — University of Wisconsin at Madison, Department of Radiology, WI, USA
- Fang Liu 0006 — University of Notre Dame, Department of Applied and Computational Mathematics and Statistics, IN, USA
- Fang Liu 0007 — National Library of Medicine, Bethesda, MD, USA
- Fang Liu 0008 — Nanyang Technological University, Nanyang Business School, Singapore (and 1 more)
- Fang Liu 0009 — Nanyang Technological University, School of Computer Science and Engineering, Singapore
- Fang Liu 0010 — Zhejiang University, Institute of Microelectronics and Optoelectronics, China
- Fang Liu 0011 — Shenzhen Huazhong University of Science and Technology Research Institute, Shenzhen, China (and 1 more)
- Fang Liu 0012 — Tianjin University, School of Electrical and Information Engineering, Key Laboratory of Smart Grid of MoE, China
- Fang Liu 0013 — Zhejiang University of Finance and Economics, School of Accounting, Hangzhou, China
- Fang Liu 0014 — Central South University, School of Automation, Changsha, China
- Fang Liu 0015 — Shenyang Ligong University, College of Science, Shenyang, China
- Fang Liu 0016 — Beijing University of Posts and Telecommunications, School of Electronic Engineering, Beijing, China
- Fang Liu 0017 — Guangxi University, School of Mathematics and Information Science, Nanning, China (and 1 more)
- Fang Liu 0018 — University of Reading, School of Psychology and Clinical Language Sciences, Reading, UK (and 2 more)
- Fang Liu 0019 — Microsoft, Redmond, WA, USA (and 1 more)
- Fang Liu 0020 — Ohio State University, Department of Electrical and Computer Engineering, Columbus, OH, USA
- Fang Liu 0021 — Changsha University of Science and Technology, School of Transportation Engineering, Changsha, China (and 1 more)
- Fang Liu 0022 — Chinese University of Hong Kong, Department of Information Engineering, Hong Kong
- Fang Liu 0023 — Huanghuai University, School of Information Engineering, Henan International Joint Laboratory of Behavior Optimization Control for Smart Robots, Zhumadian, China (and 1 more)
- Fang Liu 0024 — City University of Hong Kong, Department of Electronic Engineering, Hong Kong
- Fang Liu 0025 — University of Texas - Pan American, Department of Computer Science, Edinburg, TX, USA (and 1 more)
- Fang Liu 0026 — Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, Beijing Key Laboratory of Network System Architecture and Convergence, Beijing, China
- Fang Liu 0027 — Massachusetts Institute of Technology, Media Laboratory, Cambridge, MA, USA
- Fang (Cherry) Liu (aka: Fang Liu 0028) — Georgia Institute of Technology, Partnership for An Advanced Computing Environment, Atlanta, GA, USA (and 2 more)
- Fang Liu 0029 — Duke University, Department of Electrical & Computer Engineering, Durham, NC, USA
- Fang Liu 0030 — Guangdong University of Finance and Economics, School of Internet Finance and Information Engineering, Guangzhou, China (and 1 more)
- Fang Liu 0031 — Wuhan University, School of Computer Science, China (and 1 more)
- Fang Liu 0033 — Dalian University of Technology, School of Computer Science and Technology, China
- Fang Liu 0034 — Nanjing University of Science and Technology, China (and 1 more)
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Journal Articles
- 2024
[j4]Fang Liu, Zhiyi Fu, Ge Li, Zhi Jin, Hui Liu, Yiyang Hao, Li Zhang:
Non-Autoregressive Line-Level Code Completion. ACM Trans. Softw. Eng. Methodol. 33(5): 120:1-120:34 (2024)- 2023
- [j3]Zejun Wang, Fang Liu, Yiyang Hao, Zhi Jin:
AdaComplete: improve DL-based code completion method's domain adaptability. Autom. Softw. Eng. 30(1): 11 (2023) - 2022
- [j2]Fang Liu, Ge Li, Bolin Wei, Xin Xia, Zhiyi Fu, Zhi Jin:
A unified multi-task learning model for AST-level and token-level code completion. Empir. Softw. Eng. 27(4): 91 (2022) - 2020
- [j1]Fang Liu, Lu Zhang, Zhi Jin:
Modeling programs hierarchically with stack-augmented LSTM. J. Syst. Softw. 164: 110547 (2020)
Conference and Workshop Papers
- 2023
- [c4]Jia Li, Chongyang Tao, Zhi Jin, Fang Liu, Jia Li, Ge Li:
ZC3: Zero-Shot Cross-Language Code Clone Detection. ASE 2023: 875-887 - 2022
- [c3]Fang Liu, Ge Li, Zhiyi Fu, Shuai Lu, Yiyang Hao, Zhi Jin:
Learning to Recommend Method Names with Global Context. ICSE 2022: 1294-1306 - 2020
- [c2]Fang Liu, Ge Li, Bolin Wei, Xin Xia, Zhiyi Fu, Zhi Jin:
A Self-Attentional Neural Architecture for Code Completion with Multi-Task Learning. ICPC 2020: 37-47 - [c1]Fang Liu, Ge Li, Yunfei Zhao, Zhi Jin:
Multi-task Learning based Pre-trained Language Model for Code Completion. ASE 2020: 473-485
Informal and Other Publications
- 2023
- [i6]Jia Li, Chongyang Tao, Zhi Jin, Fang Liu, Jia Li, Ge Li:
ZC3: Zero-Shot Cross-Language Code Clone Detection. CoRR abs/2308.13754 (2023) - [i5]Jia Li, Ge Li, Chongyang Tao, Jia Li, Huangzhao Zhang, Fang Liu, Zhi Jin:
Large Language Model-Aware In-Context Learning for Code Generation. CoRR abs/2310.09748 (2023) - 2022
- [i4]Fang Liu, Ge Li, Zhiyi Fu, Shuai Lu, Yiyang Hao, Zhi Jin:
Learning to Recommend Method Names with Global Context. CoRR abs/2201.10705 (2022) - [i3]Fang Liu, Zhiyi Fu, Ge Li, Zhi Jin, Hui Liu, Yiyang Hao:
Non-autoregressive Model for Full-line Code Completion. CoRR abs/2204.09877 (2022) - 2020
- [i2]Fang Liu, Lu Zhang, Zhi Jin:
Modeling Programs Hierarchically with Stack-Augmented LSTM. CoRR abs/2002.04516 (2020) - [i1]Fang Liu, Ge Li, Yunfei Zhao, Zhi Jin:
Multi-task Learning based Pre-trained Language Model for Code Completion. CoRR abs/2012.14631 (2020)
Coauthor Index
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