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Jiakun Liu
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2020 – today
- 2025
- [j12]Junda He, Bowen Xu, Zhou Yang, DongGyun Han, Chengran Yang, Jiakun Liu, Zhipeng Zhao, David Lo:
PTM4Tag+: Tag recommendation of stack overflow posts with pre-trained models. Empir. Softw. Eng. 30(1): 28 (2025) - 2024
- [j11]Zewen Xie, Xian Hu, Lide Guo, Weiren Lin, Jiakun Liu, Chunliang Zhang, Guanghua Ge, Yadong Tang, Wenlong Wang:
A lightweight detection algorithm for tooth cracks in optical images. Comput. Biol. Medicine 182: 109153 (2024) - [j10]Junxiao Han, Jiakun Liu, David Lo, Chen Zhi, Yishan Chen, Shuiguang Deng:
On the sustainability of deep learning projects: Maintainers' perspective. J. Softw. Evol. Process. 36(7) (2024) - [c19]Jiakun Liu, Zicheng Zhang, Xing Hu, Ferdian Thung, Shahar Maoz, Debin Gao, Eran Toch, Zhipeng Zhao, David Lo:
MiniMon: Minimizing Android Applications with Intelligent Monitoring-Based Debloating. ICSE 2024: 206:1-206:13 - [c18]Jiakun Liu, Wenyi Zhang, H. Vincent Poor:
PAC Learnability for Reliable Communication Over Discrete Memoryless Channels. ISIT 2024: 1185-1190 - [c17]Ferdian Thung, Ivana Clairine Irsan, Jiakun Liu, David Lo:
Towards Benchmarking the Coverage of Automated Testing Tools in Android against Manual Testing. MOBILESoft@ICSE 2024: 74-77 - [c16]Ferdian Thung, Jiakun Liu, Pattarakrit Rattanukul, Shahar Maoz, Eran Toch, Debin Gao, David Lo:
Towards Speedy Permission-Based Debloating for Android Apps. MOBILESoft@ICSE 2024: 84-87 - [c15]Hao Gu, Shichao Zhang, Qiao Huang, Zhifang Liao, Jiakun Liu, David Lo:
Self-Admitted Technical Debts Identification: How Far Are We? SANER 2024: 804-815 - [c14]Junxiao Han, Yunkun Wang, Zhongxin Liu, Lingfeng Bao, Jiakun Liu, David Lo, Shuiguang Deng:
Sustainability Forecasting for Deep Learning Packages. SANER 2024: 981-992 - [i15]Jiakun Liu, Wenyi Zhang, H. Vincent Poor:
PAC Learnability for Reliable Communication over Discrete Memoryless Channels. CoRR abs/2401.13202 (2024) - [i14]Jiakun Liu, H. Vincent Poor, Iickho Song, Wenyi Zhang:
A Rate-Distortion Analysis for Composite Sources Under Subsource-Dependent Fidelity Criteria. CoRR abs/2405.11818 (2024) - [i13]Lishui Fan, Jiakun Liu, Zhongxin Liu, David Lo, Xin Xia, Shanping Li:
Exploring the Capabilities of LLMs for Code Change Related Tasks. CoRR abs/2407.02824 (2024) - [i12]Junda He, Bowen Xu, Zhou Yang, DongGyun Han, Chengran Yang, Jiakun Liu, Zhipeng Zhao, David Lo:
PTM4Tag+: Tag Recommendation of Stack Overflow Posts with Pre-trained Models. CoRR abs/2408.02311 (2024) - [i11]Dezhen Kong, Jiakun Liu, Lingfeng Bao, David Lo:
Towards Better Comprehension of Breaking Changes in the NPM Ecosystem. CoRR abs/2408.14431 (2024) - 2023
- [j9]Yujie Zheng, Meiyan Li, Jiakun Liu:
Erratum to "A Two-Sided Stable Matching Model of Cloud Manufacturing Tasks and Services considering the Nonlinear Relationship between Satisfaction and Expectations". Complex. 2023: 9848730:1-9848730:1 (2023) - [c13]Chengran Yang, Bowen Xu, Jiakun Liu, David Lo:
TECHSUMBOT: A Stack Overflow Answer Summarization Tool for Technical Query. ICSE Companion 2023: 132-135 - [c12]Xin Zhou, Kisub Kim, Bowen Xu, Jiakun Liu, DongGyun Han, David Lo:
The Devil is in the Tails: How Long-Tailed Code Distributions Impact Large Language Models. ASE 2023: 40-52 - [c11]Bowen Xu, Thanh-Dat Nguyen, Thanh Le-Cong, Thong Hoang, Jiakun Liu, Kisub Kim, Chen Gong, Changan Niu, Chenyu Wang, Bach Le, David Lo:
Are We Ready to Embrace Generative AI for Software Q&A? ASE 2023: 1713-1717 - [c10]Jiakun Liu, Xing Hu, Ferdian Thung, Shahar Maoz, Eran Toch, Debin Gao, David Lo:
AutoDebloater: Automated Android App Debloating. ASE 2023: 2090-2093 - [i10]Bowen Xu, Thanh-Dat Nguyen, Thanh Le-Cong, Thong Hoang, Jiakun Liu, Kisub Kim, Chen Gong, Changan Niu, Chenyu Wang, Bach Le, David Lo:
Are We Ready to Embrace Generative AI for Software Q&A? CoRR abs/2307.09765 (2023) - [i9]Yunya Liu, Jiakun Liu, Jordan R. Raney, Pai Wang:
Quantum Computing for Solid Mechanics and Structural Engineering - a Demonstration with Variational Quantum Eigensolver. CoRR abs/2308.14745 (2023) - [i8]Xin Zhou, Kisub Kim, Bowen Xu, Jiakun Liu, DongGyun Han, David Lo:
The Devil is in the Tails: How Long-Tailed Code Distributions Impact Large Language Models. CoRR abs/2309.03567 (2023) - [i7]Chengran Yang, Jiakun Liu, Bowen Xu, Christoph Treude, Yunbo Lyu, Junda He, Ming Li, David Lo:
APIDocBooster: An Extract-Then-Abstract Framework Leveraging Large Language Models for Augmenting API Documentation. CoRR abs/2312.10934 (2023) - 2022
- [j8]Jiakun Liu, Haoxiang Zhang, Xin Xia, David Lo, Ying Zou, Ahmed E. Hassan, Shanping Li:
An exploratory study on the repeatedly shared external links on Stack Overflow. Empir. Softw. Eng. 27(1): 19 (2022) - [j7]Jiakun Liu, Shuo Shao, Wenyi Zhang, H. Vincent Poor:
An Indirect Rate-Distortion Characterization for Semantic Sources: General Model and the Case of Gaussian Observation. IEEE Trans. Commun. 70(9): 5946-5959 (2022) - [j6]Jiakun Liu, Xin Xia, David Lo, Haoxiang Zhang, Ying Zou, Ahmed E. Hassan, Shanping Li:
Broken External Links on Stack Overflow. IEEE Trans. Software Eng. 48(9): 3242-3267 (2022) - [c9]Menghan Wu, Yang Zhang, Jiakun Liu, Shangwen Wang, Zhang Zhang, Xin Xia, Xinjun Mao:
On the Way to Microservices: Exploring Problems and Solutions from Online Q&A Community. SANER 2022: 432-443 - [i6]Jiakun Liu, Shuo Shao, Wenyi Zhang, H. Vincent Poor:
An Indirect Rate-Distortion Characterization for Semantic Sources: General Model and the Case of Gaussian Observation. CoRR abs/2201.12477 (2022) - 2021
- [j5]Yujie Zheng, Meiyan Li, Jiakun Liu:
A Two-Sided Stable Matching Model of Cloud Manufacturing Tasks and Services considering the Nonlinear Relationship between Satisfaction and Expectations. Complex. 2021: 6735210:1-6735210:11 (2021) - [j4]Jiakun Liu, Qiao Huang, Xin Xia, Emad Shihab, David Lo, Shanping Li:
An exploratory study on the introduction and removal of different types of technical debt in deep learning frameworks. Empir. Softw. Eng. 26(2): 16 (2021) - [c8]Jiakun Liu, Wenyi Zhang, H. Vincent Poor:
A Rate-Distortion Framework for Characterizing Semantic Information. ISIT 2021: 2894-2899 - [c7]Jiakun Liu, Sebastian Baltes, Christoph Treude, David Lo, Yun Zhang, Xin Xia:
Characterizing search activities on stack overflow. ESEC/SIGSOFT FSE 2021: 919-931 - [i5]Jiakun Liu, Qiao Huang, Xin Xia, Emad Shihab, David Lo, Shanping Li:
An Exploratory Study on the Introduction and Removal of Different Types of Technical Debt. CoRR abs/2101.03730 (2021) - [i4]Jiakun Liu, Haoxiang Zhang, Xin Xia, David Lo, Ying Zou, Ahmed E. Hassan, Shanping Li:
An Exploratory Study on the Repeatedly Shared External Links on Stack Overflow. CoRR abs/2104.03518 (2021) - [i3]Jiakun Liu, Wenyi Zhang, H. Vincent Poor:
A Rate-Distortion Framework for Characterizing Semantic Information. CoRR abs/2105.04278 (2021) - 2020
- [c6]Jiakun Liu, Qiao Huang, Xin Xia, Emad Shihab, David Lo, Shanping Li:
Is using deep learning frameworks free?: characterizing technical debt in deep learning frameworks. ICSE-SEIS 2020: 1-10 - [i2]Jiakun Liu, Xin Xia, David Lo, Haoxiang Zhang, Ying Zou, Ahmed E. Hassan, Shanping Li:
Broken External Links on Stack Overflow. CoRR abs/2010.04892 (2020) - [i1]Jiakun Liu, Stuart Leigh Phoenix:
An Auto-Generated Geometry-Based Discrete Finite Element Model for Damage Evolution in Composite Laminates with Arbitrary Stacking Sequence. CoRR abs/2010.06009 (2020)
2010 – 2019
- 2016
- [c5]Jihang Zhang, Minjie Zhang, Fenghui Ren, Jiakun Liu:
A Decentralised Multi-Agent System for Emergency Resource Allocation in Metropolitan Regions: (Demonstration). AAMAS 2016: 1482-1484 - [c4]Jihang Zhang, Minjie Zhang, Fenghui Ren, Jiakun Liu:
Enable Efficient Resource Deployment in Multiple Concurrent Emergency Events Through a Decentralised MAS. Australasian Conference on Artificial Intelligence 2016: 56-68 - 2014
- [j3]Yongquan Zhou, Qifang Luo, Jiakun Liu:
Glowworm Swarm Optimization for Dispatching System of Public Transit Vehicles. Neural Process. Lett. 40(1): 25-33 (2014) - 2010
- [j2]Jiakun Liu, Wonyong Sung:
COPR: a cost-oriented recycling policy for flash translation layer. IEEE Trans. Consumer Electron. 56(2): 673-681 (2010)
2000 – 2009
- 2008
- [c3]Xiaolin Xi, Jiyong Park, Jiakun Liu, Seongsoo Hong:
A Goal-oriented Mixed-granularity Component Selection Method for Huge Component Repositories. SEKE 2008: 573-576 - 2007
- [c2]Chunfeng Liu, Yantai Shu, Jiakun Liu, Oliver W. W. Yang:
Application of Extreme Value Theory to the Analysis of Wireless Network Traffic. ICC 2007: 486-491 - 2005
- [j1]Yantai Shu, Minfang Yu, Oliver W. W. Yang, Jiakun Liu, Huifang Feng:
Wireless Traffic Modeling and Prediction Using Seasonal ARIMA Models. IEICE Trans. Commun. 88-B(10): 3992-3999 (2005) - 2003
- [c1]Yantai Shu, Minfang Yu, Jiakun Liu, Oliver W. W. Yang:
Wireless traffic modeling and prediction using seasonal ARIMA models. ICC 2003: 1675-1679
Coauthor Index
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