Junda He

According to our database, Junda He authored at least 26 papers between 2017 and 2025.

Collaborative distances:

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

2025

PTM4Tag+: Tag recommendation of stack overflow posts with pre-trained models.

Junda He, Bowen Xu, Zhou Yang, DongGyun Han, Chengran Yang, Jiakun Liu, Zhipeng Zhao, David Lo

Empir. Softw. Eng., February, 2025

2024

Leveraging Large Language Model for Automatic Patch Correctness Assessment.

Xin Zhou, Bowen Xu, Kisub Kim, DongGyun Han, Hung Huu Nguyen, Thanh Le-Cong, Junda He, Bach Le, David Lo

IEEE Trans. Software Eng., November, 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

Representation Learning for Stack Overflow Posts: How Far Are We?

Junda He, Xin Zhou, Bowen Xu, Ting Zhang, Kisub Kim, Zhou Yang, Ferdian Thung, Ivana Clairine Irsan, David Lo

ACM Trans. Softw. Eng. Methodol., March, 2024

Synthesizing Efficient and Permissive Programmatic Runtime Shields for Neural Policies.

Jieke Shi, Junda He, Zhou Yang, Dorde Zikelic, David Lo

CoRR, 2024

Finding Safety Violations of AI-Enabled Control Systems through the Lens of Synthesized Proxy Programs.

Jieke Shi, Zhou Yang, Junda He, Bowen Xu, Dongsun Kim, DongGyun Han, David Lo

CoRR, 2024

BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions.

Terry Yue Zhuo, Minh Chien Vu, Jenny Chim, Han Hu, Wenhao Yu, Ratnadira Widyasari, Imam Nur Bani Yusuf, Haolan Zhan, Junda He, Indraneil Paul, Simon Brunner, Chen Gong, Thong Hoang, Armel Randy Zebaze, Xiaoheng Hong, Wen-Ding Li, Jean Kaddour, Ming Xu, Zhihan Zhang, Prateek Yadav, Naman Jain, Alex Gu, Zhoujun Cheng, Jiawei Liu, Qian Liu, Zijian Wang, David Lo, Binyuan Hui, Niklas Muennighoff, Daniel Fried, Xiaoning Du, Harm de Vries, Leandro von Werra

CoRR, 2024

LLM-Based Multi-Agent Systems for Software Engineering: Vision and the Road Ahead.

Junda He, Christoph Treude, David Lo

CoRR, 2024

Baffle: Hiding Backdoors in Offline Reinforcement Learning Datasets.

Chen Gong, Zhou Yang, Yunpeng Bai, Junda He, Jieke Shi, Kecen Li, Arunesh Sinha, Bowen Xu, Xinwen Hou, David Lo, Tianhao Wang

Proceedings of the IEEE Symposium on Security and Privacy, 2024

Greening Large Language Models of Code.

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

Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Society, 2024

Curiosity-Driven Testing for Sequential Decision-Making Process.

Junda He, Zhou Yang, Jieke Shi, Chengran Yang, Kisub Kim, Bowen Xu, Xin Zhou, David Lo

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

2023

APIDocBooster: An Extract-Then-Abstract Framework Leveraging Large Language Models for Augmenting API Documentation.

Chengran Yang, Jiakun Liu, Bowen Xu, Christoph Treude, Yunbo Lyu, Junda He, Ming Li, 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

Generation-based Code Review Automation: How Far Are We?

Xin Zhou, Kisub Kim, Bowen Xu, DongGyun Han, Junda He, David Lo

CoRR, 2023

PatchZero: Zero-Shot Automatic Patch Correctness Assessment.

Xin Zhou, Bowen Xu, Kisub Kim, DongGyun Han, Thanh Le-Cong, Junda He, Bach Le, David Lo

CoRR, 2023

Generation-based Code Review Automation: How Far Are Weƒ.

Xin Zhou, Kisub Kim, Bowen Xu, DongGyun Han, Junda He, David Lo

Proceedings of the 31st IEEE/ACM International Conference on Program Comprehension, 2023

CCBERT: Self-Supervised Code Change Representation Learning.

Xin Zhou, Bowen Xu, DongGyun Han, Zhou Yang, Junda He, David Lo

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2023

2022

Consensus formation on heterogeneous networks.

Edoardo Fadda, Junda He, Claudio J. Tessone, Paolo Barucca

EPJ Data Sci., 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

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

PTM4Tag: sharpening tag recommendation of stack overflow posts with pre-trained models.

Junda He, Bowen Xu, Zhou Yang, DongGyun Han, Chengran Yang, David Lo

Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, 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

2018

Optimal formation control and collision avoidance in environment with multiple rectangle obstacles.

Zhengqing Shi, Junda He, Tengli Wang, Chuan Zhou, Jian Guo

J. Frankl. Inst., 2018

Consensus control of networked multi-agent systems based on a novel hybrid transmission strategy.

Junda He, Chuan Zhou, Tengli Wang, Jian Guo

IMA J. Math. Control. Inf., 2018

2017

Formation control of networked multi-agent systems based on a novel event-triggered transmission strategy.

Junda He, Chuan Zhou, Jian Guo

Int. J. Autom. Control., 2017