Jieke SHI(史 杰克)
Ph.D. Candidate (Second Year) & Research Engineer in Software Analytics Research Group of Singapore Management University

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Email: jiekeshi@smu.edu.sg ; jiekeshi125@gmail.com
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I am open to collaboration and communication. If you want to share some ideas with me, feel free to contact me.

Research Interest [⬆TOP]

In my undergraduate, my research interest was in multi-agent system with a focus on applications about using optimization methods to solve algorithmic problems and social issues.

In ICT, I worked on novel algorithms and models in Natural Language Processing.

Now, I am devoted into Software Engineering research, mainly about:

Education & Experience [⬆TOP]

Recent Publications [Full list] [Conference] [Preprint] [⬆TOP]

Conference  Click here to show/hide

    [14] Jieke Shi, Zhou Yang, Hong Jin Kang, Bowen Xu, Junda He, David Lo. "Greening Large Language Models of Code." The 46th IEEE/ACM International Conference on Software Engineering (ICSE) (12 pages, SEIS Track.) [PDF] [Code]

    [13] Junda He, Zhou Yang, Jieke Shi, Chengran Yang, Kisub Kim, Bowen Xu, Xin Zhou, David Lo. "Curiosity-Driven Testing for Sequential Decision-Making Process." The 46th IEEE/ACM International Conference on Software Engineering (ICSE) (12 pages, Research Track.)

    [12] Zhou Yang, Zhipeng Zhao, Chenyu Wang, Jieke Shi, Dongsun Kim, DongGyun Han, David Lo. "Unveiling Memorization in Code Models." The 46th IEEE/ACM International Conference on Software Engineering (ICSE) (13 pages, Research Track.) [PDF] [Code]

    [11] Zhou Yang, Chenyu Wang, Jieke Shi, Thong Hoang, Pavneet Kochhar, Qinghua Lu, Zhenchang Xing and David Lo. "What Do Users Ask in Open-Source AI Repositories? An Empirical Study of GitHub Issues." The 20th IEEE International Conference on Mining Software Repositories (MSR) (12 pages, Technical Track.) [PDF] [Code]

    [10] Chen Gong, Zhou Yang, Yunpeng Bai, Jieke Shi, Arunesh Sinha, Bowen Xu, David Lo, Xinwen Hou, and Guoliang Fan, "Curiosity-Driven and Victim-Aware Adversarial Policies." 2022 39th Annual Computer Security Applications Conference (ACSAC). (15 pages, Technical Paper,       Honorable Mention Award.) [PDF] [Code]

    [9] Jieke Shi, Zhou Yang, Bowen Xu, Hong Jin Kang, and David Lo. "Compressing Pre-trained Models of Code into 3 MB." 2022 IEEE/ACM 37th International Conference on Automated Software Engineering (ASE). (12 pages, Research Paper,       Nominated for ACM SIGSOFT Distinguished Paper Award.) [PDF] [Code]

    [8] Chengran Yang, Bowen Xu, Ferdian Thung, Yucen Shi, Ting Zhang, Zhou Yang, Xin Zhou, Jieke Shi, Junda He, DongGyun Han, and David Lo. "Answer Summarization for Technical Queries: Benchmark and New Approach." 2022 IEEE/ACM 37th International Conference on Automated Software Engineering (ASE). (12 pages, Research Paper.) [PDF] [Code]

    [7] Zhou Yang, Jieke Shi, Muhammad Hilmi Asyrofi, and David Lo. "Revisiting Neuron Coverage Metrics and Quality of Deep Neural Networks." 2022 IEEE 29th International Conference on Software Analysis, Evolution and Reengineering (SANER). (12 pages, RENE Track.) [PDF][Code][Video]

    [6] Ratnadira Widyasari, Stefanus Agus Haryono, Ferdian Thung, Jieke Shi, Constance Tan, Fiona Wee, Jack Phan, and David Lo. "On the Influence of Biases in Bug Localization: Evaluation and Benchmark." 2022 IEEE 29th International Conference on Software Analysis, Evolution and Reengineering (SANER). (11 pages, RENE Track.) [PDF][Code] [Dataset][Video]

    [5] Jieke Shi, Zhou Yang, Junda He, Bowen Xu, and David Lo. "Can Identifier Splitting Improve Open-Vocabulary Language Model of Code?" 2022 IEEE 29th International Conference on Software Analysis, Evolution and Reengineering (SANER). (5 pages, ERA Track.) [PDF][Poster][Code][Video]

    [4] Zhou Yang, Jieke Shi, Junda He, and David Lo. "Natural Attack for Pre-trained Models of Code." 2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE). (12 pages, Technical Track.) [PDF][Code]

    [3] Zhou Yang, Harshit Jain, Jieke Shi, Muhammad Hilmi Asyrofi, and David Lo. "BiasHeal: On-the-Fly Black-Box Healing of Bias in Sentiment Analysis Systems." 2021 IEEE 37th International Conference on Software Maintenance and Evolution (ICSME). (5 pages, NIER Track.) [PDF][Code]

    [2] Muhammad Hilmi Asyrofi, Zhou Yang, Jieke Shi, Chu Wei Quan, and David Lo. "Can Differential Testing Improve Automatic Speech Recognition Systems?" 2021 IEEE 37th International Conference on Software Maintenance and Evolution (ICSME). (5 pages, NIER Track.) [PDF][Code]

    [1] Zhou Yang*, Jieke Shi*, Shaowei Wang, and David Lo. "IncBL: Incremental Bug Localization." 2021 IEEE/ACM 36th International Conference on Automated Software Engineering (ASE). (4 pages, Tool Demonstrations, *Equal contributions.) [PDF][Poster][Code][Video]

Preprint   Click here to show/hide

    [3] Zhou Yang, Jieke Shi, Muhammad Hilmi Asyrofi, Bowen Xu, Xin Zhou, DongGyun Han, and David Lo. "Prioritizing Speech Test Cases." [PDF]

    [2] Zhou Yang, Bowen Xu, Jie M Zhang, Hong Jin Kang, Jieke Shi, Junda He, and David Lo. "Stealthy Backdoor Attack for Code Models." [PDF]

    [1] Chen Gong, Zhou Yang, Yunpeng Bai, Junda He, Jieke Shi, Arunesh Sinha, Bowen Xu, Xinwen Hou, Guoliang Fan, and David Lo. "Mind Your Data! Hiding Backdoors in Offline Reinforcement Learning Datasets." [PDF]

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© Jieke SHI | Last Update: Nov 2023