Jiakun Liu

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 35

Top Topics

Learning Frameworks

Top Venues

Empir. Softw. Eng.

Publications

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)
Jiakun Liu, Wenyi Zhang, H. Vincent Poor
PAC Learnability for Reliable Communication over Discrete Memoryless Channels. CoRR (2024)
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)
Hao Gu, Shichao Zhang, Qiao Huang, Zhifang Liao, Jiakun Liu, David Lo
Self-Admitted Technical Debts Identification: How Far Are We? SANER (2024)
Jiakun Liu, H. Vincent Poor, Iickho Song, Wenyi Zhang
A Rate-Distortion Analysis for Composite Sources Under Subsource-Dependent Fidelity Criteria. CoRR (2024)
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)
Lishui Fan, Jiakun Liu, Zhongxin Liu, David Lo, Xin Xia, Shanping Li
Exploring the Capabilities of LLMs for Code Change Related Tasks. CoRR (2024)
Junxiao Han, Yunkun Wang, Zhongxin Liu, Lingfeng Bao, Jiakun Liu, David Lo, Shuiguang Deng
Sustainability Forecasting for Deep Learning Packages. SANER (2024)
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)
Jiakun Liu, Xing Hu, Ferdian Thung, Shahar Maoz, Eran Toch, Debin Gao, David Lo
AutoDebloater: Automated Android App Debloating. ASE (2023)
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 (2023)
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)
Chengran Yang, Bowen Xu, Jiakun Liu, David Lo
TECHSUMBOT: A Stack Overflow Answer Summarization Tool for Technical Query. ICSE Companion (2023)
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 (2023)
Bowen Xu, Thanh-Dat Nguyen, Thanh Le-Cong, Thong Hoang, Jiakun Liu, Kisub Kim, Chen Gong, Changan Niu, Chenyu Wang, Xuan-Bach Dinh Le, David Lo
Are We Ready to Embrace Generative AI for Software Q&A? ASE (2023)
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 (2023)
Bowen Xu, Thanh-Dat Nguyen, Thanh Le-Cong, Thong Hoang, Jiakun Liu, Kisub Kim, Chen Gong, Changan Niu, Chenyu Wang, Xuan-Bach Dinh Le, David Lo
Are We Ready to Embrace Generative AI for Software Q&A? CoRR (2023)
Yunya Liu, Jiakun Liu, Jordan R. Raney, Pai Wang
Quantum Computing for Solid Mechanics and Structural Engineering - a Demonstration with Variational Quantum Eigensolver. CoRR (2023)
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) (2022)
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 (2022)
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) (2022)
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)
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) (2022)
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 (2021)
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 (2021)
Jiakun Liu, Wenyi Zhang, H. Vincent Poor
A Rate-Distortion Framework for Characterizing Semantic Information. CoRR (2021)
Jiakun Liu, Wenyi Zhang, H. Vincent Poor
A Rate-Distortion Framework for Characterizing Semantic Information. ISIT (2021)
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) (2021)
Jiakun Liu, Sebastian Baltes, Christoph Treude, David Lo, Yun Zhang, Xin Xia
Characterizing search activities on stack overflow. ESEC/SIGSOFT FSE (2021)
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 (2021)
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)
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 (2020)
Jiakun Liu, Xin Xia, David Lo, Haoxiang Zhang, Ying Zou, Ahmed E. Hassan, Shanping Li
Broken External Links on Stack Overflow. CoRR (2020)
Jihang Zhang, Minjie Zhang, Fenghui Ren, Jiakun Liu
A Decentralised Multi-Agent System for Emergency Resource Allocation in Metropolitan Regions: (Demonstration). AAMAS (2016)
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)
Yongquan Zhou, Qifang Luo, Jiakun Liu
Glowworm Swarm Optimization for Dispatching System of Public Transit Vehicles. Neural Process. Lett. 40 (1) (2014)
Jiakun Liu, Wonyong Sung
COPR: a cost-oriented recycling policy for flash translation layer. IEEE Trans. Consumer Electron. 56 (2) (2010)
Xiaolin Xi, Jiyong Park, Jiakun Liu, Seongsoo Hong
A Goal-oriented Mixed-granularity Component Selection Method for Huge Component Repositories. SEKE (2008)
Chunfeng Liu, Yantai Shu, Jiakun Liu, Oliver W. W. Yang
Application of Extreme Value Theory to the Analysis of Wireless Network Traffic. ICC (2007)
Yantai Shu, Minfang Yu, Oliver W. W. Yang, Jiakun Liu, Huifang Feng
Wireless Traffic Modeling and Prediction Using Seasonal ARIMA Models. IEICE Trans. Commun. (10) (2005)
Yantai Shu, Minfang Yu, Jiakun Liu, Oliver W. W. Yang
Wireless traffic modeling and prediction using seasonal ARIMA models. ICC (2003)