Jieke Shi

According to our database, Jieke Shi authored at least 23 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Stealthy Backdoor Attack for Code Models.

Zhou Yang, Bowen Xu, Jie M. Zhang, Hong Jin Kang, Jieke Shi, Junda He, David Lo

IEEE Trans. Software Eng., April, 2024

Efficient and Green Large Language Models for Software Engineering: Vision and the Road Ahead.

Jieke Shi, Zhou Yang, David Lo

CoRR, 2024

2023

Gotcha! This Model Uses My Code! Evaluating Membership Leakage Risks in Code Models.

Zhou Yang, Zhipeng Zhao, Chenyu Wang, Jieke Shi, Dongsun Kim, DongGyun Han, David Lo

CoRR, 2023

Towards Smaller, Faster, and Greener Language Models of Code.

Jieke Shi, Zhou Yang, Hong Jin Kang, Bowen Xu, Junda He, David Lo

CoRR, 2023

What Do Code Models Memorize? An Empirical Study on Large Language Models of Code.

Zhou Yang, Zhipeng Zhao, Chenyu Wang, Jieke Shi, Dongsun Kim, DongGyun Han, David Lo

CoRR, 2023

Prioritizing Speech Test Cases.

Zhou Yang, Jieke Shi, Muhammad Hilmi Asyrofi, Bowen Xu, Xin Zhou, DongGyun Han, David Lo

CoRR, 2023

What Do Users Ask in Open-Source AI Repositories? An Empirical Study of GitHub Issues.

Zhou Yang, Chenyu Wang, Jieke Shi, Thong Hoang, Pavneet Singh Kochhar, Qinghua Lu, Zhenchang Xing, David Lo

Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023

2022

Mind Your Data! Hiding Backdoors in Offline Reinforcement Learning Datasets.

Chen Gong, Zhou Yang, Yunpeng Bai, Junda He, Jieke Shi, Arunesh Sinha, Bowen Xu, Xinwen Hou, Guoliang Fan, David Lo

CoRR, 2022

Revisiting Neuron Coverage Metrics and Quality of Deep Neural Networks.

Zhou Yang, Jieke Shi, Muhammad Hilmi Asyrofi, David Lo

Proceedings of the IEEE International Conference on Software Analysis, 2022

On the Influence of Biases in Bug Localization: Evaluation and Benchmark.

Ratnadira Widyasari, Stefanus Agus Haryono, Ferdian Thung, Jieke Shi, Constance Tan, Fiona Wee, Jack Phan, David Lo

Proceedings of the IEEE International Conference on Software Analysis, 2022

Can Identifier Splitting Improve Open-Vocabulary Language Model of Code?

Jieke Shi, Zhou Yang, Junda He, Bowen Xu, David Lo

Proceedings of the IEEE International Conference on Software Analysis, 2022

Answer Summarization for Technical Queries: Benchmark and New Approach.

Chengran Yang, Bowen Xu, Ferdian Thung, Yucen Shi, Ting Zhang, Zhou Yang, Xin Zhou, Jieke Shi, Junda He, DongGyun Han, David Lo

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Compressing Pre-trained Models of Code into 3 MB.

Jieke Shi, Zhou Yang, Bowen Xu, Hong Jin Kang, David Lo

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Natural Attack for Pre-trained Models of Code.

Zhou Yang, Jieke Shi, Junda He, David Lo

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

Curiosity-Driven and Victim-Aware Adversarial Policies.

Chen Gong, Zhou Yang, Yunpeng Bai, Jieke Shi, Arunesh Sinha, Bowen Xu, David Lo, Xinwen Hou, Guoliang Fan

Proceedings of the Annual Computer Security Applications Conference, 2022

2021

Ontology negotiation: Knowledge interchange between distributed ontologies through agent negotiation.

Junwu Zhu, Ling Teng, Huimin Lu, Jieke Shi, Bin Li

Concurr. Comput. Pract. Exp., 2021

IncBL: Incremental Bug Localization.

Zhou Yang, Jieke Shi, Shaowei Wang, David Lo

Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

BiasHeal: On-the-Fly Black-Box Healing of Bias in Sentiment Analysis Systems.

Zhou Yang, Harshit Jain, Jieke Shi, Muhammad Hilmi Asyrofi, David Lo

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2021

Can Differential Testing Improve Automatic Speech Recognition Systems?

Muhammad Hilmi Asyrofi, Zhou Yang, Jieke Shi, Chu Wei Quan, David Lo

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2021

2020

An auction-based rescue task allocation approach for heterogeneous multi-robot system.

Jieke Shi, Zhou Yang, Junwu Zhu

Multim. Tools Appl., 2020

Network-aware Virtual Machine Migration Based on Gene Aggregation Genetic Algorithm.

Yi Jiang, Jinjin Wang, Jieke Shi, Junwu Zhu, Ling Teng

Mob. Networks Appl., 2020

2019

A real-time decentralized algorithm for task scheduling in multi-agent system with continuous damage.

Junwu Zhu, Jieke Shi, Zhou Yang, Bin Li

Appl. Soft Comput., 2019

An Efficient Double Auction Mechanism for Job Allocation.

Jieke Shi, Junwu Zhu, Jian Li, Fang Liu, Yunbo Lv

Proceedings of the 23rd IEEE International Conference on Computer Supported Cooperative Work in Design, 2019