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ORCIDXiang Gao 0012
Person information
- unicode name: 高祥
- affiliation: Beihang University, Beijing, China
- affiliation (former): National University of Singapore, Singapore
Other persons with the same name
- Xiang Gao — disambiguation page
- Xiang Gao 0001
![[0000-0002-5410-4388]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-5410-4388")
— Lund University, Department of Electrical and Information Technology, Sweden - Xiang Gao 0002 — Marvell, Santa Clara, CA, USA (and 1 more)
- Xiang Gao 0003 — Hong Kong University of Science and Technology, Department of Computer Science and Engineering, Hong Kong
- Xiang Gao 0004 — Missouri University of Science and Technology, Department of Electrical and Computer Engineering, Rolla, MO, USA
- Xiang Gao 0005 — University of Kiel, Chair of Power Electronics, Germany
- Xiang Gao 0006 — Technical University of Munich, Department of Informatics, Computer Vision Group, Munich, Germany
- Xiang Gao 0007 — Tianjin University, School of Microelectronics, Tianjin, China
- Xiang Gao 0008 — Nanyang Technological University, School of Biological Sciences, Singapore
- Xiang Gao 0009 — Ocean University of China, College of Engineering, Qingdao, China (and 1 more)
- Xiang Gao 0010 — Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, Beijing, China
- Xiang Gao 0011 — Microsoft Corporation, Redmond, WA, USA
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Journal Articles
- 2024
[j5]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)- 2021
- [j4]Xiang Gao, Arjun Radhakrishna, Gustavo Soares, Ridwan Shariffdeen, Sumit Gulwani, Abhik Roychoudhury:
APIfix: output-oriented program synthesis for combating breaking changes in libraries. Proc. ACM Program. Lang. 5(OOPSLA): 1-27 (2021) - [j3]Xiang Gao, Bo Wang, Gregory J. Duck, Ruyi Ji, Yingfei Xiong, Abhik Roychoudhury:
Beyond Tests: Program Vulnerability Repair via Crash Constraint Extraction. ACM Trans. Softw. Eng. Methodol. 30(2): 14:1-14:27 (2021) - 2020
- [j2]Xiang Gao, Shraddha Barke, Arjun Radhakrishna, Gustavo Soares, Sumit Gulwani, Alan Leung, Nachiappan Nagappan, Ashish Tiwari:
Feedback-driven semi-supervised synthesis of program transformations. Proc. ACM Program. Lang. 4(OOPSLA): 219:1-219:30 (2020) - 2018
- [j1]Sergey Mechtaev, Xiang Gao, Shin Hwei Tan, Abhik Roychoudhury:
Test-Equivalence Analysis for Automatic Patch Generation. ACM Trans. Softw. Eng. Methodol. 27(4): 15:1-15:37 (2018)
Conference and Workshop Papers
- 2024
- [c19]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 - [c18]Mingyi Zhou, Xiang Gao, Jing Wu, Kui Liu, Hailong Sun, Li Li:
Investigating White-Box Attacks for On-Device Models. ICSE 2024: 152:1-152:12 - 2023
- [c17]Zhaotian Li, Binhang Qi, Hailong Sun, Xiang Gao:
AutoMRM: A Model Retrieval Method Based on Multimodal Query and Meta-learning. CIKM 2023: 1228-1237 - [c16]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 - [c15]Zhiyu Fan, Xiang Gao, Martin Mirchev, Abhik Roychoudhury, Shin Hwei Tan:
Automated Repair of Programs from Large Language Models. ICSE 2023: 1469-1481 - [c14]Mingyi Zhou, Xiang Gao, Jing Wu, John C. Grundy, Xiao Chen, Chunyang Chen, Li Li:
ModelObfuscator: Obfuscating Model Information to Protect Deployed ML-Based Systems. ISSTA 2023: 1005-1017 - [c13]Yuanzhang Lin, Guoyao Wen, Xiang Gao:
Automated Fixing of Web UI Tests via Iterative Element Matching. ASE 2023: 1188-1199 - 2022
- [c12]Yannic Noller, Ridwan Shariffdeen, Xiang Gao, Abhik Roychoudhury:
Trust Enhancement Issues in Program Repair. ICSE 2022: 2228-2240 - [c11]Yuntong Zhang, Xiang Gao, Gregory J. Duck, Abhik Roychoudhury:
Program vulnerability repair via inductive inference. ISSTA 2022: 691-702 - [c10]Binhang Qi, Hailong Sun, Xiang Gao, Hongyu Zhang:
Patching Weak Convolutional Neural Network Models through Modularization and Composition. ASE 2022: 74:1-74:12 - 2021
- [c9]Ridwan Shariffdeen, Xiang Gao, Gregory J. Duck, Shin Hwei Tan, Julia Lawall, Abhik Roychoudhury:
Automated patch backporting in Linux (experience paper). ISSTA 2021: 633-645 - [c8]Xiang Gao, Gregory J. Duck, Abhik Roychoudhury:
Scalable Fuzzing of Program Binaries with E9AFL. ASE 2021: 1247-1251 - 2020
- [c7]Xiang Gao, Abhik Roychoudhury:
Interactive Patch Generation and Suggestion. ICSE (Workshops) 2020: 17-18 - [c6]Xiang Gao, Ripon K. Saha, Mukul R. Prasad, Abhik Roychoudhury:
Fuzz testing based data augmentation to improve robustness of deep neural networks. ICSE 2020: 1147-1158 - [c5]Gregory J. Duck, Xiang Gao, Abhik Roychoudhury:
Binary rewriting without control flow recovery. PLDI 2020: 151-163 - 2019
- [c4]Xiang Gao, Sergey Mechtaev, Abhik Roychoudhury:
Crash-avoiding program repair. ISSTA 2019: 8-18 - 2018
- [c3]Shin Hwei Tan, Zhen Dong, Xiang Gao, Abhik Roychoudhury:
Repairing crashes in Android apps. ICSE 2018: 187-198 - [c2]Xiang Gao, Shin Hwei Tan, Zhen Dong, Abhik Roychoudhury:
Android testing via synthetic symbolic execution. ASE 2018: 419-429 - 2016
- [c1]Deshan Zhang, Lei Ju, Mengying Zhao, Xiang Gao, Zhiping Jia:
Write-back aware shared last-level cache management for hybrid main memory. DAC 2016: 172:1-172:6
Informal and Other Publications
- 2024
- [i11]Mingyi Zhou, Xiang Gao, Jing Wu, Kui Liu, Hailong Sun, Li Li:
Investigating White-Box Attacks for On-Device Models. CoRR abs/2402.05493 (2024) - 2023
- [i10]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) - [i9]Mingyi Zhou, Xiang Gao, Jing Wu, John Grundy, Xiao Chen, Chunyang Chen, Li Li:
ModelObfuscator: Obfuscating Model Information to Protect Deployed ML-based Systems. CoRR abs/2306.06112 (2023) - [i8]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) - [i7]Li Li, Xiang Gao, Hailong Sun, Chunming Hu, Xiaoyu Sun, Haoyu Wang, Haipeng Cai, Ting Su, Xiapu Luo, Tegawendé F. Bissyandé, Jacques Klein, John C. Grundy, Tao Xie, Haibo Chen, Huaimin Wang:
Software Engineering for OpenHarmony: A Research Roadmap. CoRR abs/2311.01311 (2023) - [i6]Binhang Qi, Hailong Sun, Hongyu Zhang, Xiang Gao:
Reusing Convolutional Neural Network Models through Modularization and Composition. CoRR abs/2311.04438 (2023) - 2022
- [i5]Zhiyu Fan, Xiang Gao, Abhik Roychoudhury, Shin Hwei Tan:
Improving automatically generated code from Codex via Automated Program Repair. CoRR abs/2205.10583 (2022) - [i4]Binhang Qi, Hailong Sun, Xiang Gao, Hongyu Zhang:
Patching Weak Convolutional Neural Network Models through Modularization and Composition. CoRR abs/2209.06116 (2022) - [i3]Xiang Gao, Yannic Noller, Abhik Roychoudhury:
Program Repair. CoRR abs/2211.12787 (2022) - 2021
- [i2]Yannic Noller, Ridwan Shariffdeen, Xiang Gao, Abhik Roychoudhury:
How to trust auto-generated code patches? A developer survey and empirical assessment of existing program repair tools. CoRR abs/2108.13064 (2021) - 2017
- [i1]Sergey Mechtaev, Xiang Gao, Shin Hwei Tan, Abhik Roychoudhury:
Partitioning Patches into Test-equivalence Classes for Scaling Program Repair. CoRR abs/1707.03139 (2017)
Coauthor Index
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