Xiaodong Gu - RankMe

81 papers A* 15A 4B 3C 2Journal 53Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Anti-adversarial Learning: Desensitizing Prompts for Large Language Model. AAAI Xuan Li, Zhe Yin, Xiaodong Gu, Beijun Shen
2026	J	`jnl`	CatchAll: Repository-Aware Exception Handling with Knowledge-Guided LLMs. CoRR Qingxiao Tao, Xiaodong Gu, Hao Zhong, Beijun Shen
2026	J	`jnl`	CodeOCR: On the Effectiveness of Vision Language Models in Code Understanding. CoRR Yuling Shi, Chaoxiang Xie, Zhensu Sun, Yeheng Chen, Chenxu Zhang, Longfei Yun, Chengcheng Wan, Hongyu Zhang, David Lo, Xiaodong Gu
2026	J	`jnl`	EffiSkill: Agent Skill Based Automated Code Efficiency Optimization. CoRR Zimu Wang, Yuling Shi, Mengfan Li, Zijun Liu, Jie M. Zhang, Chengcheng Wan, Xiaodong Gu
2026	J	`jnl`	GlimpRouter: Efficient Collaborative Inference by Glimpsing One Token of Thoughts. CoRR Wenhao Zeng, Xuteng Zhang, Yuling Shi, Chao Hu, Yuting Chen, Beijun Shen, Xiaodong Gu
2026	J	`jnl`	In Line with Context: Repository-Level Code Generation via Context Inlining. CoRR Chao Hu, Wenhao Zeng, Yuling Shi, Beijun Shen, Xiaodong Gu
2026	J	`jnl`	Readability-Robust Code Summarization via Meta Curriculum Learning. CoRR Wenhao Zeng, Yitian Chai, Hao Zhou, Fandong Meng, Jie Zhou, Xiaodong Gu
2026	J	`jnl`	Rethinking Code Complexity Through the Lens of Large Language Models. CoRR Chen Xie, Yuling Shi, Xiaodong Gu, Beijun Shen
2026	J	`jnl`	Rethinking the Value of Agent-Generated Tests for LLM-Based Software Engineering Agents. CoRR Zhi Chen, Zhensu Sun, Yuling Shi, Chao Peng, Xiaodong Gu, David Lo, Lingxiao Jiang
2026	J	`jnl`	SWE-Pruner: Self-Adaptive Context Pruning for Coding Agents. CoRR Yuhang Wang, Yuling Shi, Mo Yang, Rongrui Zhang, Shilin He, Heng Lian, Yuting Chen, Siyu Ye, Kai Cai, Xiaodong Gu
2026	J	`jnl`	Synthetic Malware at Scale: Malicious Code Generation With Code Transplanting. IEEE Trans. Software Eng. Guangzhan Wang, Diwei Chen, Xiaodong Gu, Yuting Chen, Beijun Shen
2026	J	`jnl`	Test vs Mutant: Adversarial LLM Agents for Robust Unit Test Generation. CoRR Pengyu Chang, Yixiong Fang, Silin Chen, Yuling Shi, Beijun Shen, Xiaodong Gu
2025	J	`jnl`	APIRAT: Integrating Multi-source API Knowledge for Enhanced Code Translation with LLMs. CoRR Chaofan Wang, Guanjie Qiu, Xiaodong Gu, Beijun Shen
2025	J	`jnl`	Anti-adversarial Learning: Desensitizing Prompts for Large Language Models. CoRR Xuan Li, Zhe Yin, Xiaodong Gu, Beijun Shen
2025	B	`conf`	ApiRAT: Integrating Multi-source API Knowledge for Enhanced Code Translation with LLMs. COMPSAC Chaofan Wang, Guanjie Qiu, Xiaodong Gu, Beijun Shen
2025	A*	`conf`	Between Lines of Code: Unraveling the Distinct Patterns of Machine and Human Programmers. ICSE Yuling Shi, Hongyu Zhang, Chengcheng Wan, Xiaodong Gu
2025	J	`jnl`	Beyond Language Boundaries: Uncovering Programming Language Families for Code Language Models. CoRR Shangbo Yun, Xiaodong Gu, Jianghong Huang, Beijun Shen
2025	J	`jnl`	EVOC2RUST: A Skeleton-guided Framework for Project-Level C-to-Rust Translation. CoRR Chaofan Wang, Tingrui Yu, Jie Wang, Dong Chen, Wenrui Zhang, Yuling Shi, Xiaodong Gu, Beijun Shen
2025	B	`conf`	Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs. COMPSAC Chen Xie, Mingsheng Jiao, Xiaodong Gu, Beijun Shen
2025	J	`jnl`	Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs. CoRR Chen Xie, Mingsheng Jiao, Xiaodong Gu, Beijun Shen
2025	J	`jnl`	Just-in-time software defect prediction via bi-modal change representation learning. J. Syst. Softw. Yuze Jiang, Beijun Shen, Xiaodong Gu
2025	J	`jnl`	LibRec: Benchmarking Retrieval-Augmented LLMs for Library Migration Recommendations. CoRR Junxiao Han, Yarong Wang, Xiaodong Gu, Cuiyun Gao, Yao Wan, Song Han, David Lo, Shuiguang Deng
2025	A*	`conf`	LongCodeZip: Compress Long Context for Code Language Models. ASE Yuling Shi, Yichun Qian, Hongyu Zhang, Beijun Shen, Xiaodong Gu
2025	J	`jnl`	LongCodeZip: Compress Long Context for Code Language Models. CoRR Yuling Shi, Yichun Qian, Hongyu Zhang, Beijun Shen, Xiaodong Gu
2025	J	`jnl`	Neuron-Guided Interpretation of Code LLMs: Where, Why, and How? CoRR Zhe Yin, Xiaodong Gu, Beijun Shen
2025	J	`jnl`	On the Effectiveness of Large Language Models in Domain-Specific Code Generation. ACM Trans. Softw. Eng. Methodol. Xiaodong Gu, Meng Chen, Yalan Lin, Yuhan Hu, Hongyu Zhang, Chengcheng Wan, Zhao Wei, Yong Xu, Juhong Wang
2025	J	`jnl`	Pruning the Unsurprising: Efficient Code Reasoning via First-Token Surprisal. CoRR Wenhao Zeng, Yaoning Wang, Chao Hu, Yuling Shi, Chengcheng Wan, Hongyu Zhang, Xiaodong Gu
2025	J	`jnl`	SALT4Decompile: Inferring Source-level Abstract Logic Tree for LLM-Based Binary Decompilation. CoRR Yongpan Wang, Xin Xu, Xiaojie Zhu, Xiaodong Gu, Beijun Shen
2025	J	`jnl`	SWE-Exp: Experience-Driven Software Issue Resolution. CoRR Silin Chen, Shaoxin Lin, Xiaodong Gu, Yuling Shi, Heng Lian, Longfei Yun, Dong Chen, Weiguo Sun, Lin Cao, Qianxiang Wang
2025	J	`jnl`	SWE-QA: Can Language Models Answer Repository-level Code Questions? CoRR Weihan Peng, Yuling Shi, Yuhang Wang, Xinyun Zhang, Beijun Shen, Xiaodong Gu
2025	A*	`conf`	Transplant Then Regenerate: A New Paradigm for Text Data Augmentation. EMNLP Guangzhan Wang, Hongyu Zhang, Beijun Shen, Xiaodong Gu
2025	J	`jnl`	Transplant Then Regenerate: A New Paradigm for Text Data Augmentation. CoRR Guangzhan Wang, Hongyu Zhang, Beijun Shen, Xiaodong Gu
2024	J	`jnl`	Between Lines of Code: Unraveling the Distinct Patterns of Machine and Human Programmers. CoRR Yuling Shi, Hongyu Zhang, Chengcheng Wan, Xiaodong Gu
2024	J	`jnl`	CodeCipher: Learning to Obfuscate Source Code Against LLMs. CoRR Yalan Lin, Chengcheng Wan, Yixiong Fang, Xiaodong Gu
2024	J	`jnl`	Few-shot code translation via task-adapted prompt learning. J. Syst. Softw. Xuan Li, Shuai Yuan, Xiaodong Gu, Yuting Chen, Beijun Shen
2024	J	`jnl`	From Code to Correctness: Closing the Last Mile of Code Generation with Hierarchical Debugging. CoRR Yuling Shi, Songsong Wang, Chengcheng Wan, Xiaodong Gu
2024	A*	`conf`	How Effectively Do Code Language Models Understand Poor-Readability Code? ASE Chao Hu, Yitian Chai, Hao Zhou, Fandong Meng, Jie Zhou, Xiaodong Gu
2024	J	`jnl`	Just-In-Time Software Defect Prediction via Bi-modal Change Representation Learning. CoRR Yuze Jiang, Beijun Shen, Xiaodong Gu
2024	J	`jnl`	Project-specific code summarization with in-context learning. J. Syst. Softw. Shangbo Yun, Shuhuai Lin, Xiaodong Gu, Beijun Shen
2024	J	`jnl`	Unraveling the Potential of Large Language Models in Code Translation: How Far Are We? CoRR Qingxiao Tao, Tingrui Yu, Xiaodong Gu, Beijun Shen
2024	C	`conf`	Unraveling the Potential of Large Language Models in Code Translation: How Far are We? APSEC Qingxiao Tao, Tingrui Yu, Xiaodong Gu, Beijun Shen
2024	J	`jnl`	VarGAN: Adversarial Learning of Variable Semantic Representations. IEEE Trans. Software Eng. Yalan Lin, Chengcheng Wan, Shuwen Bai, Xiaodong Gu
2024	J	`jnl`	Zero-Shot Code Representation Learning via Prompt Tuning. CoRR Nan Cui, Xiaodong Gu, Beijun Shen
2023	J	`jnl`	DuReSE: Rewriting Incomplete Utterances via Neural Sequence Editing. Neural Process. Lett. Wenhui Jiang, Xiaodong Gu, Yuting Chen, Beijun Shen
2023	J	`jnl`	Finding the best learning to rank algorithms for effort-aware defect prediction. Inf. Softw. Technol. Xiao Yu, Heng Dai, Li Li, Xiaodong Gu, Jacky Wai Keung, Kwabena Ebo Bennin, Fuyang Li, Jin Liu
2023	A*	`conf`	InfeRE: Step-by-Step Regex Generation via Chain of Inference. ASE Shuai Zhang, Xiaodong Gu, Yuting Chen, Beijun Shen
2023	J	`jnl`	InfeRE: Step-by-Step Regex Generation via Chain of Inference. CoRR Shuai Zhang, Xiaodong Gu, Yuting Chen, Beijun Shen
2023	A*	`conf`	Influential Recommender System. ICDE Haoren Zhu, Hao Ge, Xiaodong Gu, Pengfei Zhao, Dik Lun Lee
2023	J	`jnl`	On the Effectiveness of Large Language Models in Domain-Specific Code Generation. CoRR Meng Chen, Yalan Lin, Yuhan Hu, Hongyu Zhang, Chengcheng Wan, Zhao Wei, Yong Xu, Juhong Wang, Xiaodong Gu
2023	A*	`conf`	On the Evaluation of Neural Code Translation: Taxonomy and Benchmark. ASE Mingsheng Jiao, Tingrui Yu, Xuan Li, Guanjie Qiu, Xiaodong Gu, Beijun Shen
2023	J	`jnl`	On the Evaluation of Neural Code Translation: Taxonomy and Benchmark. CoRR Mingsheng Jiao, Tingrui Yu, Xuan Li, Guanjie Qiu, Xiaodong Gu, Beijun Shen
2023	—	`conf`	Self-Supervised Query Reformulation for Code Search. ESEC/SIGSOFT FSE Yuetian Mao, Chengcheng Wan, Yuze Jiang, Xiaodong Gu
2023	J	`jnl`	Self-Supervised Query Reformulation for Code Search. CoRR Yuetian Mao, Chengcheng Wan, Yuze Jiang, Xiaodong Gu
2022	A*	`conf`	Answering Software Deployment Questions via Neural Machine Reading at Scale. ASE Guanjie Qiu, Diwei Chen, Shuai Zhang, Yitian Chai, Xiaodong Gu, Beijun Shen
2022	J	`jnl`	Clean and Learn: Improving Robustness to Spurious Solutions in API Question Answering. Int. J. Softw. Eng. Knowl. Eng. Shuai Yuan, Haozhe Qin, Xiaodong Gu, Beijun Shen
2022	C	`conf`	Code Question Answering via Task-Adaptive Sequence-to-Sequence Pre-training. APSEC Tingrui Yu, Xiaodong Gu, Beijun Shen
2022	B	`conf`	Continuous Decomposition of Granularity for Neural Paraphrase Generation. COLING Xiaodong Gu, Zhaowei Zhang, Sang-Woo Lee, Kang Min Yoo, Jung-Woo Ha
2022	J	`jnl`	Continuous Decomposition of Granularity for Neural Paraphrase Generation. CoRR Xiaodong Gu, Zhaowei Zhang, Sang-Woo Lee, Kang Min Yoo, Jung-Woo Ha
2022	J	`jnl`	Cross-Domain Deep Code Search with Few-Shot Meta Learning. CoRR Yitian Chai, Hongyu Zhang, Beijun Shen, Xiaodong Gu
2022	A*	`conf`	Cross-Domain Deep Code Search with Meta Learning. ICSE Yitian Chai, Hongyu Zhang, Beijun Shen, Xiaodong Gu
2022	J	`jnl`	Diet Code is Healthy: Simplifying Programs for Pre-Trained Models of Code. CoRR Zhaowei Zhang, Hongyu Zhang, Beijun Shen, Xiaodong Gu
2022	—	`conf`	Diet code is healthy: simplifying programs for pre-trained models of code. ESEC/SIGSOFT FSE Zhaowei Zhang, Hongyu Zhang, Beijun Shen, Xiaodong Gu
2022	J	`jnl`	Influential Recommender System. CoRR Haoren Zhu, Hao Ge, Xiaodong Gu, Pengfei Zhao, Dik Lun Lee
2022	A	`conf`	Self-supervised learning of smart contract representations. ICPC Shouliang Yang, Xiaodong Gu, Beijun Shen
2022	J	`jnl`	Zero-Shot Program Representation Learning. CoRR Nan Cui, Yuze Jiang, Xiaodong Gu, Beijun Shen
2022	A	`conf`	Zero-shot program representation learning. ICPC Nan Cui, Yuze Jiang, Xiaodong Gu, Beijun Shen
2021	A	`conf`	A Multi-Modal Transformer-based Code Summarization Approach for Smart Contracts. ICPC Zhen Yang, Jacky Keung, Xiao Yu, Xiaodong Gu, Zhengyuan Wei, Xiaoxue Ma, Miao Zhang
2021	J	`jnl`	A Multi-Modal Transformer-based Code Summarization Approach for Smart Contracts. CoRR Zhen Yang, Jacky Keung, Xiao Yu, Xiaodong Gu, Zhengyuan Wei, Xiaoxue Ma, Miao Zhang
2021	A*	`conf`	DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank Utterances. AAAI Xiaodong Gu, Kang Min Yoo, Jung-Woo Ha
2021	A	`conf`	Do Bugs Propagate? An Empirical Analysis of Temporal Correlations Among Software Bugs. ECOOP Xiaodong Gu, Yo-Sub Han, Sunghun Kim, Hongyu Zhang
2021	J	`jnl`	Response Generation with Context-Aware Prompt Learning. CoRR Xiaodong Gu, Kang Min Yoo, Sang-Woo Lee
2020	J	`jnl`	DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank Utterances. CoRR Xiaodong Gu, Kang Min Yoo, Jung-Woo Ha
2019	A*	`conf`	CodeKernel: A Graph Kernel Based Approach to the Selection of API Usage Examples. ASE Xiaodong Gu, Hongyu Zhang, Sunghun Kim
2019	—	`conf`	DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder. ICLR (Poster) Xiaodong Gu, Kyunghyun Cho, Jung-Woo Ha, Sunghun Kim
2018	A*	`conf`	Deep code search. ICSE Xiaodong Gu, Hongyu Zhang, Sunghun Kim
2018	J	`jnl`	DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder. CoRR Xiaodong Gu, Kyunghyun Cho, Jung-Woo Ha, Sunghun Kim
2017	A*	`conf`	DeepAM: Migrate APIs with Multi-modal Sequence to Sequence Learning. IJCAI Xiaodong Gu, Hongyu Zhang, Dongmei Zhang, Sunghun Kim
2017	J	`jnl`	DeepAM: Migrate APIs with Multi-modal Sequence to Sequence Learning. CoRR Xiaodong Gu, Hongyu Zhang, Dongmei Zhang, Sunghun Kim
2016	J	`jnl`	Deep API Learning. CoRR Xiaodong Gu, Hongyu Zhang, Dongmei Zhang, Sunghun Kim
2016	—	`conf`	Deep API learning. SIGSOFT FSE Xiaodong Gu, Hongyu Zhang, Dongmei Zhang, Sunghun Kim
2015	A*	`conf`	"What Parts of Your Apps are Loved by Users?" (T). ASE Xiaodong Gu, Sunghun Kim