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2020 – today
- 2024
[j6]Tim Menzies, Bowen Xu, Hong Jin Kang, Jie M. Zhang, Jiri Gesi, Sagar Sen, Beatriz Cassoli, Nicolas Jourdan, Jieke Shi, Phu Hong Nguyen, Valentina Golendukhina:
SEA4DQ 2024 Workshop Summary. ACM SIGSOFT Softw. Eng. Notes 49(4): 29-30 (2024)- [j5]Zhou Yang
, Bowen Xu, Jie M. Zhang, Hong Jin Kang, Jieke Shi, Junda He, David Lo:
Stealthy Backdoor Attack for Code Models. IEEE Trans. Software Eng. 50(4): 721-741 (2024) - [c16]Zhou Yang, Zhipeng Zhao, Chenyu Wang, Jieke Shi, Dongsun Kim, DongGyun Han, David Lo:
Unveiling Memorization in Code Models. ICSE 2024: 72:1-72:13 - [c15]Jieke Shi, Zhou Yang, Hong Jin Kang, Bowen Xu, Junda He, David Lo:
Greening Large Language Models of Code. ICSE (SEIS) 2024: 142-153 - [c14]Junda He, Zhou Yang, Jieke Shi, Chengran Yang, Kisub Kim, Bowen Xu, Xin Zhou, David Lo:
Curiosity-Driven Testing for Sequential Decision-Making Process. ICSE 2024: 165:1-165:14 - [c13]Chen Gong, Zhou Yang, Yunpeng Bai, Junda He, Jieke Shi, Kecen Li, Arunesh Sinha, Bowen Xu, Xinwen Hou, David Lo, Tianhao Wang:
Baffle: Hiding Backdoors in Offline Reinforcement Learning Datasets. SP 2024: 2086-2104 - [i16]Jieke Shi, Zhou Yang, David Lo:
Efficient and Green Large Language Models for Software Engineering: Vision and the Road Ahead. CoRR abs/2404.04566 (2024) - [i15]Zhou Yang, Jieke Shi, David Lo:
Ecosystem of Large Language Models for Code. CoRR abs/2405.16746 (2024) - [i14]Jieke Shi, Zhou Yang, Junda He, Bowen Xu, Dongsun Kim, DongGyun Han, David Lo:
Finding Safety Violations of AI-Enabled Control Systems through the Lens of Synthesized Proxy Programs. CoRR abs/2410.04986 (2024) - 2023
- [c12]Zhou Yang, Chenyu Wang, Jieke Shi, Thong Hoang, Pavneet Singh Kochhar, Qinghua Lu, Zhenchang Xing, David Lo:
What Do Users Ask in Open-Source AI Repositories? An Empirical Study of GitHub Issues. MSR 2023: 79-91 - [i13]Zhou Yang, Bowen Xu, Jie M. Zhang, Hong Jin Kang, Jieke Shi, Junda He, David Lo:
Stealthy Backdoor Attack for Code Models. CoRR abs/2301.02496 (2023) - [i12]Zhou Yang, Jieke Shi, Muhammad Hilmi Asyrofi, Bowen Xu, Xin Zhou, DongGyun Han, David Lo:
Prioritizing Speech Test Cases. CoRR abs/2302.00330 (2023) - [i11]Zhou Yang, Chenyu Wang, Jieke Shi, Thong Hoang, Pavneet Singh Kochhar, Qinghua Lu, Zhenchang Xing, David Lo:
What Do Users Ask in Open-Source AI Repositories? An Empirical Study of GitHub Issues. CoRR abs/2303.09795 (2023) - [i10]Zhou Yang, Zhipeng Zhao, Chenyu Wang, Jieke Shi, Dongsun Kim, DongGyun Han, David Lo:
What Do Code Models Memorize? An Empirical Study on Large Language Models of Code. CoRR abs/2308.09932 (2023) - [i9]Jieke Shi, Zhou Yang, Hong Jin Kang, Bowen Xu, Junda He, David Lo:
Towards Smaller, Faster, and Greener Language Models of Code. CoRR abs/2309.04076 (2023) - [i8]Zhou Yang, Zhipeng Zhao, Chenyu Wang, Jieke Shi, Dongsun Kim, DongGyun Han, David Lo:
Gotcha! This Model Uses My Code! Evaluating Membership Leakage Risks in Code Models. CoRR abs/2310.01166 (2023) - 2022
- [c11]Chen Gong, Zhou Yang, Yunpeng Bai, Jieke Shi, Arunesh Sinha, Bowen Xu, David Lo, Xinwen Hou, Guoliang Fan:
Curiosity-Driven and Victim-Aware Adversarial Policies. ACSAC 2022: 186-200 - [c10]Zhou Yang, Jieke Shi, Junda He, David Lo:
Natural Attack for Pre-trained Models of Code. ICSE 2022: 1482-1493 - [c9]Chengran Yang, Bowen Xu, Ferdian Thung, Yucen Shi, Ting Zhang, Zhou Yang, Xin Zhou, Jieke Shi, Junda He, DongGyun Han, David Lo:
Answer Summarization for Technical Queries: Benchmark and New Approach. ASE 2022: 8:1-8:13 - [c8]Jieke Shi, Zhou Yang, Bowen Xu, Hong Jin Kang, David Lo:
Compressing Pre-trained Models of Code into 3 MB. ASE 2022: 24:1-24:12 - [c7]Ratnadira Widyasari, Stefanus Agus Haryono, Ferdian Thung, Jieke Shi, Constance Tan, Fiona Wee, Jack Phan, David Lo:
On the Influence of Biases in Bug Localization: Evaluation and Benchmark. SANER 2022: 128-139 - [c6]Zhou Yang, Jieke Shi, Muhammad Hilmi Asyrofi, David Lo:
Revisiting Neuron Coverage Metrics and Quality of Deep Neural Networks. SANER 2022: 408-419 - [c5]Jieke Shi, Zhou Yang, Junda He, Bowen Xu, David Lo:
Can Identifier Splitting Improve Open-Vocabulary Language Model of Code? SANER 2022: 1134-1138 - [i7]Zhou Yang, Jieke Shi, Muhammad Hilmi Asyrofi, David Lo:
Revisiting Neuron Coverage Metrics and Quality of Deep Neural Networks. CoRR abs/2201.00191 (2022) - [i6]Jieke Shi, Zhou Yang, Junda He, Bowen Xu, David Lo:
Can Identifier Splitting Improve Open-Vocabulary Language Model of Code? CoRR abs/2201.01988 (2022) - [i5]Zhou Yang, Jieke Shi, Junda He, David Lo:
Natural Attack for Pre-trained Models of Code. CoRR abs/2201.08698 (2022) - [i4]Jieke Shi, Zhou Yang, Bowen Xu, Hong Jin Kang, David Lo:
Compressing Pre-trained Models of Code into 3 MB. CoRR abs/2208.07120 (2022) - [i3]Chengran Yang, Bowen Xu, Ferdian Thung, Yucen Shi, Ting Zhang, Zhou Yang, Xin Zhou, Jieke Shi, Junda He, DongGyun Han, David Lo:
Answer Summarization for Technical Queries: Benchmark and New Approach. CoRR abs/2209.10868 (2022) - [i2]Chen Gong, Zhou Yang, Yunpeng Bai, Junda He, Jieke Shi, Arunesh Sinha, Bowen Xu, Xinwen Hou, Guoliang Fan, David Lo:
Mind Your Data! Hiding Backdoors in Offline Reinforcement Learning Datasets. CoRR abs/2210.04688 (2022) - 2021
- [j4]Junwu Zhu, Ling Teng, Huimin Lu, Jieke Shi, Bin Li:
Ontology negotiation: Knowledge interchange between distributed ontologies through agent negotiation. Concurr. Comput. Pract. Exp. 33(15) (2021) - [c4]Zhou Yang, Harshit Jain, Jieke Shi, Muhammad Hilmi Asyrofi, David Lo:
BiasHeal: On-the-Fly Black-Box Healing of Bias in Sentiment Analysis Systems. ICSME 2021: 644-648 - [c3]Muhammad Hilmi Asyrofi, Zhou Yang, Jieke Shi, Chu Wei Quan, David Lo:
Can Differential Testing Improve Automatic Speech Recognition Systems? ICSME 2021: 674-678 - [c2]Zhou Yang, Jieke Shi, Shaowei Wang, David Lo:
IncBL: Incremental Bug Localization. ASE 2021: 1223-1226 - [i1]Zhou Yang, Jieke Shi, Shaowei Wang, David Lo:
IncBL: Incremental Bug Localization. CoRR abs/2106.07413 (2021) - 2020
- [j3]Yi Jiang, Jinjin Wang, Jieke Shi, Junwu Zhu, Ling Teng:
Network-aware Virtual Machine Migration Based on Gene Aggregation Genetic Algorithm. Mob. Networks Appl. 25(4): 1457-1468 (2020) - [j2]Jieke Shi, Zhou Yang, Junwu Zhu:
An auction-based rescue task allocation approach for heterogeneous multi-robot system. Multim. Tools Appl. 79(21-22): 14529-14538 (2020)
2010 – 2019
- 2019
- [j1]Junwu Zhu, Jieke Shi, Zhou Yang, Bin Li:
A real-time decentralized algorithm for task scheduling in multi-agent system with continuous damage. Appl. Soft Comput. 83 (2019) - [c1]Jieke Shi, Junwu Zhu, Jian Li, Fang Liu, Yunbo Lv:
An Efficient Double Auction Mechanism for Job Allocation. CSCWD 2019: 63-68
Coauthor Index
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last updated on 2024-11-13 23:49 CET by the dblp team
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