Junda He - RankMe

53 papers A* 5A 5Journal 41Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Function-Level Analysis: Context-Aware Reasoning for Inter-Procedural Vulnerability Detection. CoRR Yikun Li, Ting Zhang, Jieke Shi, Chengran Yang, Junda He, Xin Zhou, Jinfeng Jiang, Huihui Huang, Wen Bin Leow, Yide Yin, Eng Lieh Ouh, Lwin Khin Shar, David Lo
2026	J	`jnl`	Compiling Code LLMs into Lightweight Executables. CoRR Jieke Shi, Junda He, Zhou Yang, Chengran Yang, Mykhailo V. Klymenko, Thong Hoang, Xiwei Xu, Zhenchang Xing, David Lo
2026	J	`jnl`	Identifying and Mitigating API Misuse in Large Language Models. IEEE Trans. Software Eng. Terry Yue Zhuo, Junda He, Jiamou Sun, Zhenchang Xing, David Lo, John C. Grundy, Xiaoning Du
2026	J	`jnl`	Research on wideband acoustic imaging method based on sparse Bayesian learning. Discov. Artif. Intell. Zhaoyi Liao, Qiang Zeng, Lirong Liu, Junda He, Yajie Zhang
2025	—	`conf`	A Functional Software Reference Architecture for LLM-Integrated Systems. ICSA Companion Alessio Bucaioni, Martin Weyssow, Junda He, Yunbo Lyu, David Lo
2025	J	`jnl`	A Functional Software Reference Architecture for LLM-Integrated Systems. CoRR Alessio Bucaioni, Martin Weyssow, Junda He, Yunbo Lyu, David Lo
2025	A	`conf`	APIDocBooster: An Extract-Then-Abstract Framework for Augmenting API Documentation. ICSME Chengran Yang, Jiakun Liu, Bowen Xu, Christoph Treude, Yunbo Lyu, Junda He, Ming Li, David Lo
2025	J	`jnl`	Artificial Intelligence for Software Architecture: Literature Review and the Road Ahead. CoRR Alessio Bucaioni, Martin Weyssow, Junda He, Yunbo Lyu, David Lo
2025	J	`jnl`	Assessing and Advancing Benchmarks for Evaluating Large Language Models in Software Engineering Tasks. CoRR Xing Hu, Feifei Niu, Junkai Chen, Xin Zhou, Junwei Zhang, Junda He, Xin Xia, David Lo
2025	A*	`conf`	BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions. ICLR 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, James Hoang, Armel Randy Zebaze, Xiaoheng Hong, Wen-Ding Li, Jean Kaddour, Ming Xu, Zhihan Zhang, Prateek Yadav, et al.
2025	J	`jnl`	Curiosity-Driven Testing for Sequential Decision-Making Process. CoRR Junda He, Zhou Yang, Jieke Shi, Chengran Yang, Kisub Kim, Bowen Xu, Xin Zhou, David Lo
2025	J	`jnl`	Detection of Faulty Vibration in Oil-Immersed OLTC by Fiber Bragg Grating Based on Double Cantilever Beam Type Sensitization. IEEE Access Junda He, Bingxin Chen, Yajie Zhang, Zhaoyi Liao, Lirong Liu
2025	J	`jnl`	Finding Safety Violations of AI-Enabled Control Systems through the Lens of Synthesized Proxy Programs. ACM Trans. Softw. Eng. Methodol. Jieke Shi, Zhou Yang, Junda He, Bowen Xu, Dongsun Kim, DongGyun Han, David Lo
2025	J	`jnl`	From Code to Courtroom: LLMs as the New Software Judges. CoRR Junda He, Jieke Shi, Terry Yue Zhuo, Christoph Treude, Jiamou Sun, Zhenchang Xing, Xiaoning Du, David Lo
2025	J	`jnl`	Identifying and Mitigating API Misuse in Large Language Models. CoRR Terry Yue Zhuo, Junda He, Jiamou Sun, Zhenchang Xing, David Lo, John C. Grundy, Xiaoning Du
2025	J	`jnl`	LLM-Based Multi-Agent Systems for Software Engineering: Literature Review, Vision, and the Road Ahead. ACM Trans. Softw. Eng. Methodol. Junda He, Christoph Treude, David Lo
2025	J	`jnl`	LLM-as-a-Judge for Software Engineering: Literature Review, Vision, and the Road Ahead. CoRR Junda He, Jieke Shi, Terry Yue Zhuo, Christoph Treude, Jiamou Sun, Zhenchang Xing, Xiaoning Du, David Lo
2025	J	`jnl`	LessLeak-Bench: A First Investigation of Data Leakage in LLMs Across 83 Software Engineering Benchmarks. CoRR Xin Zhou, Martin Weyssow, Ratnadira Widyasari, Ting Zhang, Junda He, Yunbo Lyu, Jianming Chang, Beiqi Zhang, Dan Huang, David Lo
2025	J	`jnl`	PTM4Tag+: Tag recommendation of stack overflow posts with pre-trained models. Empir. Softw. Eng. Junda He, Bowen Xu, Zhou Yang, DongGyun Han, Chengran Yang, Jiakun Liu, Zhipeng Zhao, David Lo
2024	A*	`conf`	Baffle: Hiding Backdoors in Offline Reinforcement Learning Datasets. SP Chen Gong, Zhou Yang, Yunpeng Bai, Junda He, Jieke Shi, Kecen Li, Arunesh Sinha, Bowen Xu, Xinwen Hou, David Lo, Tianhao Wang
2024	J	`jnl`	BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions. CoRR 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
2024	A*	`conf`	Curiosity-Driven Testing for Sequential Decision-Making Process. ICSE Junda He, Zhou Yang, Jieke Shi, Chengran Yang, Kisub Kim, Bowen Xu, Xin Zhou, David Lo
2024	J	`jnl`	Finding Safety Violations of AI-Enabled Control Systems through the Lens of Synthesized Proxy Programs. CoRR Jieke Shi, Zhou Yang, Junda He, Bowen Xu, Dongsun Kim, DongGyun Han, David Lo
2024	—	`conf`	Greening Large Language Models of Code. ICSE (SEIS) Jieke Shi, Zhou Yang, Hong Jin Kang, Bowen Xu, Junda He, David Lo
2024	J	`jnl`	LLM-Based Multi-Agent Systems for Software Engineering: Vision and the Road Ahead. CoRR Junda He, Christoph Treude, David Lo
2024	J	`jnl`	Leveraging Large Language Model for Automatic Patch Correctness Assessment. IEEE Trans. Software Eng. Xin Zhou, Bowen Xu, Kisub Kim, DongGyun Han, Hung Huu Nguyen, Thanh Le-Cong, Junda He, Bach Le, David Lo
2024	J	`jnl`	PTM4Tag+: Tag Recommendation of Stack Overflow Posts with Pre-trained Models. CoRR Junda He, Bowen Xu, Zhou Yang, DongGyun Han, Chengran Yang, Jiakun Liu, Zhipeng Zhao, David Lo
2024	J	`jnl`	Representation Learning for Stack Overflow Posts: How Far Are We? ACM Trans. Softw. Eng. Methodol. Junda He, Xin Zhou, Bowen Xu, Ting Zhang, Kisub Kim, Zhou Yang, Ferdian Thung, Ivana Clairine Irsan, David Lo
2024	J	`jnl`	Stealthy Backdoor Attack for Code Models. IEEE Trans. Software Eng. Zhou Yang, Bowen Xu, Jie M. Zhang, Hong Jin Kang, Jieke Shi, Junda He, David Lo
2024	J	`jnl`	Synthesizing Efficient and Permissive Programmatic Runtime Shields for Neural Policies. CoRR Jieke Shi, Junda He, Zhou Yang, Dorde Zikelic, David Lo
2023	J	`jnl`	APIDocBooster: An Extract-Then-Abstract Framework Leveraging Large Language Models for Augmenting API Documentation. CoRR Chengran Yang, Jiakun Liu, Bowen Xu, Christoph Treude, Yunbo Lyu, Junda He, Ming Li, David Lo
2023	A	`conf`	CCBERT: Self-Supervised Code Change Representation Learning. ICSME Xin Zhou, Bowen Xu, DongGyun Han, Zhou Yang, Junda He, David Lo
2023	J	`jnl`	CCBERT: Self-Supervised Code Change Representation Learning. CoRR Xin Zhou, Bowen Xu, DongGyun Han, Zhou Yang, Junda He, David Lo
2023	J	`jnl`	Generation-based Code Review Automation: How Far Are We? CoRR Xin Zhou, Kisub Kim, Bowen Xu, DongGyun Han, Junda He, David Lo
2023	A	`conf`	Generation-based Code Review Automation: How Far Are Weƒ. ICPC Xin Zhou, Kisub Kim, Bowen Xu, DongGyun Han, Junda He, David Lo
2023	J	`jnl`	PatchZero: Zero-Shot Automatic Patch Correctness Assessment. CoRR Xin Zhou, Bowen Xu, Kisub Kim, DongGyun Han, Thanh Le-Cong, Junda He, Bach Le, David Lo
2023	J	`jnl`	Representation Learning for Stack Overflow Posts: How Far are We? CoRR Junda He, Xin Zhou, Bowen Xu, Ting Zhang, Kisub Kim, Zhou Yang, Ferdian Thung, Ivana Clairine Irsan, David Lo
2023	J	`jnl`	Stealthy Backdoor Attack for Code Models. CoRR Zhou Yang, Bowen Xu, Jie M. Zhang, Hong Jin Kang, Jieke Shi, Junda He, David Lo
2023	J	`jnl`	Towards Smaller, Faster, and Greener Language Models of Code. CoRR Jieke Shi, Zhou Yang, Hong Jin Kang, Bowen Xu, Junda He, David Lo
2022	A*	`conf`	Answer Summarization for Technical Queries: Benchmark and New Approach. ASE Chengran Yang, Bowen Xu, Ferdian Thung, Yucen Shi, Ting Zhang, Zhou Yang, Xin Zhou, Jieke Shi, Junda He, DongGyun Han, David Lo
2022	J	`jnl`	Answer Summarization for Technical Queries: Benchmark and New Approach. CoRR Chengran Yang, Bowen Xu, Ferdian Thung, Yucen Shi, Ting Zhang, Zhou Yang, Xin Zhou, Jieke Shi, Junda He, DongGyun Han, David Lo
2022	A	`conf`	Can Identifier Splitting Improve Open-Vocabulary Language Model of Code? SANER Jieke Shi, Zhou Yang, Junda He, Bowen Xu, David Lo
2022	J	`jnl`	Can Identifier Splitting Improve Open-Vocabulary Language Model of Code? CoRR Jieke Shi, Zhou Yang, Junda He, Bowen Xu, David Lo
2022	J	`jnl`	Consensus formation on heterogeneous networks. EPJ Data Sci. Edoardo Fadda, Junda He, Claudio J. Tessone, Paolo Barucca
2022	J	`jnl`	Mind Your Data! Hiding Backdoors in Offline Reinforcement Learning Datasets. CoRR Chen Gong, Zhou Yang, Yunpeng Bai, Junda He, Jieke Shi, Arunesh Sinha, Bowen Xu, Xinwen Hou, Guoliang Fan, David Lo
2022	A*	`conf`	Natural Attack for Pre-trained Models of Code. ICSE Zhou Yang, Jieke Shi, Junda He, David Lo
2022	J	`jnl`	Natural Attack for Pre-trained Models of Code. CoRR Zhou Yang, Jieke Shi, Junda He, David Lo
2022	J	`jnl`	PTM4Tag: Sharpening Tag Recommendation of Stack Overflow Posts with Pre-trained Models. CoRR Junda He, Bowen Xu, Zhou Yang, DongGyun Han, Chengran Yang, David Lo
2022	A	`conf`	PTM4Tag: sharpening tag recommendation of stack overflow posts with pre-trained models. ICPC Junda He, Bowen Xu, Zhou Yang, DongGyun Han, Chengran Yang, David Lo
2021	J	`jnl`	Consensus formation on heterogeneous networks. CoRR Edoardo Fadda, Junda He, Claudio J. Tessone, Paolo Barucca
2018	J	`jnl`	Consensus control of networked multi-agent systems based on a novel hybrid transmission strategy. IMA J. Math. Control. Inf. Junda He, Chuan Zhou, Tengli Wang, Jian Guo
2018	J	`jnl`	Optimal formation control and collision avoidance in environment with multiple rectangle obstacles. J. Frankl. Inst. Zhengqing Shi, Junda He, Tengli Wang, Chuan Zhou, Jian Guo
2017	J	`jnl`	Formation control of networked multi-agent systems based on a novel event-triggered transmission strategy. Int. J. Autom. Control. Junda He, Chuan Zhou, Jian Guo