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2020 – today
- 2026
[c22]Xue Jiang, Yihong Dong, Huangzhao Zhang, Tangxinyu Wang, Zheng Fang, Yingwei Ma, Rongyu Cao, Binhua Li, Zhi Jin, Wenpin Jiao, Yongbin Li, Ge Li:
Large Language Model Unlearning for Source Code. AAAI 2026: 31346-31355- [i37]Guhong Chen, Chenghao Sun, Cheng Fu, Qiyao Wang, Zhihong Huang, Chaopeng Wei, Guangxu Chen, Feiteng Fang, Ahmadreza Argha, Bing Zhao, Xander Xu, Qi Han, Hamid Alinejad-Rokny, Qiang Qu, Binhua Li, Shiwen Ni, Min Yang, Hu Wei, Yongbin Li:
Beyond Quantity: Trajectory Diversity Scaling for Code Agents. CoRR abs/2602.03219 (2026) - [i36]Xue Jiang, Tianyu Zhang, Ge Li, Mengyang Liu, Taozhi Chen, Zhenhua Xu, Binhua Li, Wenpin Jiao, Zhi Jin, Yongbin Li, Yihong Dong:
Think Anywhere in Code Generation. CoRR abs/2603.29957 (2026) - 2025
- [j9]Yingwei Ma
, Rongyu Cao, Yongchang Cao, Yue Zhang, Jue Chen, Yibo Liu, Yuchen Liu, Binhua Li, Fei Huang, Yongbin Li:
SWE-GPT: A Process-Centric Language Model for Automated Software Improvement. Proc. ACM Softw. Eng. 2(ISSTA): 2362-2383 (2025) - [c21]Yunkun Wang, Yue Zhang, Zhen Qin, Chen Zhi, Binhua Li, Fei Huang, Yongbin Li, Shuiguang Deng:
ExploraCoder: Advancing Code Generation for Multiple Unseen APIs via Planning and Chained Exploration. ACL (1) 2025: 18124-18145 - [c20]Jie Cheng, Ruixi Qiao, Yingwei Ma, Binhua Li, Gang Xiong, Qinghai Miao, Yongbin Li, Yisheng Lv:
Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining. ICLR 2025 - [c19]Yingwei Ma, Yongbin Li, Yihong Dong, Xue Jiang, Yanhao Li, Yue Liu, Rongyu Cao, Jue Chen, Fei Huang, Binhua Li:
Thinking Longer, Not Larger: Enhancing Software Engineering Agents via Scaling Test-Time Compute. ASE 2025: 3730-3741 - [c18]Zhenyu Pan, Xuefeng Song, Yunkun Wang, Rongyu Cao, Binhua Li, Yongbin Li, Han Liu:
Do Code LLMs Understand Design Patterns? LLM4Code@ICSE 2025: 209-212 - [c17]Yingwei Ma, Qingping Yang, Rongyu Cao, Binhua Li, Fei Huang, Yongbin Li:
Alibaba LingmaAgent: Improving Automated Issue Resolution via Comprehensive Repository Exploration. SIGSOFT FSE Companion 2025: 238-249 - [i35]Zhenyu Pan, Xuefeng Song, Yunkun Wang, Rongyu Cao, Binhua Li, Yongbin Li, Han Liu:
Do Code LLMs Understand Design Patterns? CoRR abs/2501.04835 (2025) - [i34]Yingwei Ma, Binhua Li, Yihong Dong, Xue Jiang, Rongyu Cao, Jue Chen, Fei Huang, Yongbin Li:
Thinking Longer, Not Larger: Enhancing Software Engineering Agents via Scaling Test-Time Compute. CoRR abs/2503.23803 (2025) - [i33]Xue Jiang, Yihong Dong, Zheng Fang, Yingwei Ma, Tangxinyu Wang, Rongyu Cao, Binhua Li, Zhi Jin, Wenpin Jiao, Yongbin Li, Ge Li:
Large Language Model Unlearning for Source Code. CoRR abs/2506.17125 (2025) - [i32]Dingzirui Wang, Xuanliang Zhang, Rongyu Cao, Longxu Dou, Xianzhen Luo, Yingwei Ma, Qingfu Zhu, Wanxiang Che, Binhua Li, Fei Huang, Yongbin Li:
Format-Adapter: Improving Reasoning Capability of LLMs by Adapting Suitable Format. CoRR abs/2506.23133 (2025) - [i31]Yihong Dong, Xue Jiang, Yongding Tao, Huanyu Liu, Kechi Zhang, Lili Mou, Rongyu Cao, Yingwei Ma, Jue Chen, Binhua Li, Zhi Jin, Fei Huang, Yongbin Li, Ge Li:
RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy Optimization. CoRR abs/2508.00222 (2025) - [i30]Yihong Dong, Zhaoyu Ma, Xue Jiang, Zhiyuan Fan, Jiaru Qian, Yongmin Li, Jianha Xiao, Zhi Jin, Rongyu Cao, Binhua Li, Fei Huang, Yongbin Li, Ge Li:
Saber: An Efficient Sampling with Adaptive Acceleration and Backtracking Enhanced Remasking for Diffusion Language Model. CoRR abs/2510.18165 (2025) - [i29]Yunkun Wang, Yue Zhang, Guochang Li, Chen Zhi, Binhua Li, Fei Huang, Yongbin Li, Shuiguang Deng:
InspectCoder: Dynamic Analysis-Enabled Self Repair through interactive LLM-Debugger Collaboration. CoRR abs/2510.18327 (2025) - [i28]Xue Jiang, Yihong Dong, Mengyang Liu, Hongyi Deng, Tian Wang, Yongding Tao, Rongyu Cao, Binhua Li, Zhi Jin, Wenpin Jiao, Fei Huang, Yongbin Li, Ge Li:
CodeRL+: Improving Code Generation via Reinforcement with Execution Semantics Alignment. CoRR abs/2510.18471 (2025) - [i27]Guochang Li, Yuchen Liu, Zhen Qin, Yunkun Wang, Jianping Zhong, Chen Zhi, Binhua Li, Fei Huang, Yongbin Li, Shuiguang Deng:
Empowering RepoQA-Agent based on Reinforcement Learning Driven by Monte-carlo Tree Search. CoRR abs/2510.26287 (2025) - 2024
- [j8]Shujie Li, Liang Li, Ruiying Geng, Min Yang, Binhua Li, Guanghu Yuan, Wanwei He, Shao Yuan, Can Ma, Fei Huang, Yongbin Li:
Unifying Structured Data as Graph for Data-to-Text Pre-Training. Trans. Assoc. Comput. Linguistics 12: 210-228 (2024) - [c16]Jia Li, Ge Li, Yunfei Zhao, Yongmin Li, Huanyu Liu, Hao Zhu, Lecheng Wang, Kaibo Liu, Zheng Fang, Lanshen Wang, Jiazheng Ding, Xuanming Zhang, Yuqi Zhu, Yihong Dong, Zhi Jin, Binhua Li, Fei Huang, Yongbin Li, Bin Gu, Mengfei Yang:
DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories. ACL (Findings) 2024: 3603-3614 - [c15]Jiaxi Yang, Binyuan Hui, Min Yang, Bailin Wang, Bowen Li, Binhua Li, Fei Huang, Yongbin Li:
Iterative Forward Tuning Boosts In-Context Learning in Language Models. ACL (1) 2024: 15460-15473 - [c14]Jia Li, Ge Li, Xuanming Zhang, Yunfei Zhao, Yihong Dong, Zhi Jin, Binhua Li, Fei Huang, Yongbin Li:
EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations. NeurIPS 2024 - [i26]Shujie Li, Liang Li, Ruiying Geng, Min Yang, Binhua Li, Guanghu Yuan, Wanwei He, Shao Yuan, Can Ma, Fei Huang, Yongbin Li:
Unifying Structured Data as Graph for Data-to-Text Pre-Training. CoRR abs/2401.01183 (2024) - [i25]Jia Li, Ge Li, Yunfei Zhao, Yongmin Li, Huanyu Liu, Hao Zhu, Lecheng Wang, Kaibo Liu, Zheng Fang, Lanshen Wang, Jiazheng Ding, Xuanming Zhang, Yuqi Zhu, Yihong Dong, Zhi Jin, Binhua Li, Fei Huang, Yongbin Li:
DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories. CoRR abs/2405.19856 (2024) - [i24]Yingwei Ma, Qingping Yang, Rongyu Cao, Binhua Li, Fei Huang, Yongbin Li:
How to Understand Whole Software Repository? CoRR abs/2406.01422 (2024) - [i23]Jie Cheng, Ruixi Qiao, Gang Xiong, Qinghai Miao, Yingwei Ma, Binhua Li, Yongbin Li, Yisheng Lv:
Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining. CoRR abs/2410.00564 (2024) - [i22]Zhenyu Pan, Rongyu Cao, Yongchang Cao, Yingwei Ma, Binhua Li, Fei Huang, Han Liu, Yongbin Li:
Codev-Bench: How Do LLMs Understand Developer-Centric Code Completion? CoRR abs/2410.01353 (2024) - [i21]Dingzirui Wang, Xuangliang Zhang, Qiguang Chen, Longxu Dou, Xiao Xu, Rongyu Cao, Yingwei Ma, Qingfu Zhu, Wanxiang Che, Binhua Li, Fei Huang, Yongbin Li:
In-Context Transfer Learning: Demonstration Synthesis by Transferring Similar Tasks. CoRR abs/2410.01548 (2024) - [i20]Jia Li, Ge Li, Xuanming Zhang, Yunfei Zhao, Yihong Dong, Zhi Jin, Binhua Li, Fei Huang, Yongbin Li:
EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations. CoRR abs/2410.22821 (2024) - [i19]Yingwei Ma, Rongyu Cao, Yongchang Cao, Yue Zhang, Jue Chen, Yibo Liu, Yuchen Liu, Binhua Li, Fei Huang, Yongbin Li:
Lingma SWE-GPT: An Open Development-Process-Centric Language Model for Automated Software Improvement. CoRR abs/2411.00622 (2024) - [i18]Yalan Lin, Yingwei Ma, Rongyu Cao, Binhua Li, Fei Huang, Xiaodong Gu, Yongbin Li:
LLMs as Continuous Learners: Improving the Reproduction of Defective Code in Software Issues. CoRR abs/2411.13941 (2024) - [i17]Yunkun Wang, Yue Zhang, Zhen Qin, Chen Zhi, Binhua Li, Fei Huang, Yongbin Li, Shuiguang Deng:
ExploraCoder: Advancing code generation for multiple unseen APIs via planning and chained exploration. CoRR abs/2412.05366 (2024) - 2023
- [j7]Junwu Li, Binhua Li, Yaoxi Jiang:
GIPC-GAN: an end-to-end gradient and intensity joint proportional constraint generative adversarial network for multi-focus image fusion. Complex Intell. Syst. 9(6): 7395-7422 (2023) - [j6]Bowen Qin, Binyuan Hui, Lihan Wang, Min Yang, Binhua Li, Fei Huang, Luo Si, Qingshan Jiang, Yongbin Li:
Schema dependency-enhanced curriculum pre-training for table semantic parsing. Knowl. Based Syst. 262: 110264 (2023) - [j5]Junwu Li, Binhua Li, Yaoxi Jiang, Longwei Tian, Weiwei Cai:
MrFDDGAN: Multireceptive Field Feature Transfer and Dual Discriminator-Driven Generative Adversarial Network for Infrared and Color Visible Image Fusion. IEEE Trans. Instrum. Meas. 72: 1-28 (2023) - [c13]Liang Li, Ruiying Geng, Chengyang Fang, Bing Li, Can Ma, Rongyu Cao, Binhua Li, Fei Huang, Yongbin Li:
CATS: A Pragmatic Chinese Answer-to-Sequence Dataset with Large Scale and High Quality. ACL (1) 2023: 2983-3000 - [c12]Hao Sun, Yang Li, Liwei Deng, Bowen Li, Binyuan Hui, Binhua Li, Yunshi Lan, Yan Zhang, Yongbin Li:
History Semantic Graph Enhanced Conversational KBQA with Temporal Information Modeling. ACL (1) 2023: 3521-3533 - [c11]Liang Li, Ruiying Geng, Chengyang Fang, Bing Li, Can Ma, Binhua Li, Yongbin Li:
Plan-then-Seam: Towards Efficient Table-to-Text Generation. EACL (Findings) 2023: 205-219 - [c10]Jinyang Li, Binyuan Hui, Ge Qu, Jiaxi Yang, Binhua Li, Bowen Li, Bailin Wang, Bowen Qin, Ruiying Geng, Nan Huo, Xuanhe Zhou, Chenhao Ma, Guoliang Li, Kevin Chen-Chuan Chang, Fei Huang, Reynold Cheng, Yongbin Li:
Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs. NeurIPS 2023 - [c9]Yunhu Ye, Binyuan Hui, Min Yang, Binhua Li, Fei Huang, Yongbin Li:
Large Language Models are Versatile Decomposers: Decomposing Evidence and Questions for Table-based Reasoning. SIGIR 2023: 174-184 - [i16]Yunhu Ye, Binyuan Hui, Min Yang, Binhua Li, Fei Huang, Yongbin Li:
Large Language Models are Versatile Decomposers: Decompose Evidence and Questions for Table-based Reasoning. CoRR abs/2301.13808 (2023) - [i15]Liang Li, Ruiying Geng, Chengyang Fang, Bing Li, Can Ma, Binhua Li, Yongbin Li:
Plan-then-Seam: Towards Efficient Table-to-Text Generation. CoRR abs/2302.05138 (2023) - [i14]Jinyang Li, Binyuan Hui, Ge Qu, Binhua Li, Jiaxi Yang, Bowen Li, Bailin Wang, Bowen Qin, Rongyu Cao, Ruiying Geng, Nan Huo, Xuanhe Zhou, Chenhao Ma, Guoliang Li, Kevin Chen-Chuan Chang, Fei Huang, Reynold Cheng, Yongbin Li:
Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs. CoRR abs/2305.03111 (2023) - [i13]Jiaxi Yang, Binyuan Hui, Min Yang, Binhua Li, Fei Huang, Yongbin Li:
Iterative Forward Tuning Boosts In-context Learning in Language Models. CoRR abs/2305.13016 (2023) - [i12]Hao Sun, Yang Li, Liwei Deng, Bowen Li, Binyuan Hui, Binhua Li, Yunshi Lan, Yan Zhang, Yongbin Li:
History Semantic Graph Enhanced Conversational KBQA with Temporal Information Modeling. CoRR abs/2306.06872 (2023) - [i11]Liang Li, Ruiying Geng, Chengyang Fang, Bing Li, Can Ma, Rongyu Cao, Binhua Li, Fei Huang, Yongbin Li:
CATS: A Pragmatic Chinese Answer-to-Sequence Dataset with Large Scale and High Quality. CoRR abs/2306.11477 (2023) - 2022
- [j4]Junwu Li, Binhua Li, Yaoxi Jiang, Weiwei Cai:
MSAt-GAN: a generative adversarial network based on multi-scale and deep attention mechanism for infrared and visible light image fusion. Complex Intell. Syst. 8(6): 4753-4781 (2022) - [j3]Xiangfu Shi, Zhen Zhang, Zhiling Xia, Binhua Li, Xin Gu, Tingna Shi:
Application of Teager-Kaiser Energy Operator in the Early Fault Diagnosis of Rolling Bearings. Sensors 22(17): 6673 (2022) - [c8]Bowen Qin, Lihan Wang, Binyuan Hui, Bowen Li, Xiangpeng Wei, Binhua Li, Fei Huang, Luo Si, Min Yang, Yongbin Li:
SUN: Exploring Intrinsic Uncertainties in Text-to-SQL Parsers. COLING 2022: 5298-5308 - [c7]Liang Li, Ruiying Geng, Bowen Li, Can Ma, Yinliang Yue, Binhua Li, Yongbin Li:
Graph-to-Text Generation with Dynamic Structure Pruning. COLING 2022: 6115-6127 - [c6]Zefeng Cai, Xiangyu Li, Binyuan Hui, Min Yang, Bowen Li, Binhua Li, Zheng Cao, Weijie Li, Fei Huang, Luo Si, Yongbin Li:
STAR: SQL Guided Pre-Training for Context-dependent Text-to-SQL Parsing. EMNLP (Findings) 2022: 1235-1247 - [c5]Chang Gao, Bowen Li, Wenxuan Zhang, Wai Lam, Binhua Li, Fei Huang, Luo Si, Yongbin Li:
Towards Generalizable and Robust Text-to-SQL Parsing. EMNLP (Findings) 2022: 2113-2125 - [c4]Lihan Wang, Bowen Qin, Binyuan Hui, Bowen Li, Min Yang, Bailin Wang, Binhua Li, Jian Sun, Fei Huang, Luo Si, Yongbin Li:
Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL Parsing. KDD 2022: 1889-1898 - [i10]Lihan Wang, Bowen Qin, Binyuan Hui, Bowen Li, Min Yang, Bailin Wang, Binhua Li, Fei Huang, Luo Si, Yongbin Li:
Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL Parsing. CoRR abs/2206.14017 (2022) - [i9]Bowen Qin, Binyuan Hui, Lihan Wang, Min Yang, Jinyang Li, Binhua Li, Ruiying Geng, Rongyu Cao, Jian Sun, Luo Si, Fei Huang, Yongbin Li:
A Survey on Text-to-SQL Parsing: Concepts, Methods, and Future Directions. CoRR abs/2208.13629 (2022) - [i8]Bowen Qin, Lihan Wang, Binyuan Hui, Bowen Li, Xiangpeng Wei, Binhua Li, Fei Huang, Luo Si, Min Yang, Yongbin Li:
SUN: Exploring Intrinsic Uncertainties in Text-to-SQL Parsers. CoRR abs/2209.06442 (2022) - [i7]Liang Li, Ruiying Geng, Bowen Li, Can Ma, Yinliang Yue, Binhua Li, Yongbin Li:
Graph-to-Text Generation with Dynamic Structure Pruning. CoRR abs/2209.07258 (2022) - [i6]Zefeng Cai, Xiangyu Li, Binyuan Hui, Min Yang, Bowen Li, Binhua Li, Zheng Cao, Weijie Li, Fei Huang, Luo Si, Yongbin Li:
STAR: SQL Guided Pre-Training for Context-dependent Text-to-SQL Parsing. CoRR abs/2210.11888 (2022) - [i5]Chang Gao, Bowen Li, Wenxuan Zhang, Wai Lam, Binhua Li, Fei Huang, Luo Si, Yongbin Li:
Towards Generalizable and Robust Text-to-SQL Parsing. CoRR abs/2210.12674 (2022) - 2021
- [c3]Binyuan Hui, Ruiying Geng, Qiyu Ren, Binhua Li, Yongbin Li, Jian Sun, Fei Huang, Luo Si, Pengfei Zhu, Xiaodan Zhu:
Dynamic Hybrid Relation Exploration Network for Cross-Domain Context-Dependent Semantic Parsing. AAAI 2021: 13116-13124 - [i4]Binyuan Hui, Ruiying Geng, Qiyu Ren, Binhua Li, Yongbin Li, Jian Sun, Fei Huang, Luo Si, Pengfei Zhu, Xiaodan Zhu:
Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing. CoRR abs/2101.01686 (2021) - [i3]Binyuan Hui, Xiang Shi, Ruiying Geng, Binhua Li, Yongbin Li, Jian Sun, Xiaodan Zhu:
Improving Text-to-SQL with Schema Dependency Learning. CoRR abs/2103.04399 (2021) - 2020
- [j2]Jinliang Wang, Binhua Li, Kai Xing:
A New Real-Time Lucky Imaging Algorithm and its Implementation Techniques. IEEE Access 8: 52192-52208 (2020) - [j1]Junwu Li, Binhua Li, Yaoxi Jiang:
An Infrared and Visible Image Fusion Algorithm Based on LSWT-NSST. IEEE Access 8: 179857-179880 (2020) - [c2]Ruiying Geng, Binhua Li, Yongbin Li, Jian Sun, Xiaodan Zhu:
Dynamic Memory Induction Networks for Few-Shot Text Classification. ACL 2020: 1087-1094 - [i2]Ruiying Geng, Binhua Li, Yongbin Li, Jian Sun, Xiaodan Zhu:
Dynamic Memory Induction Networks for Few-Shot Text Classification. CoRR abs/2005.05727 (2020)
2010 – 2019
- 2019
- [c1]Ruiying Geng, Binhua Li, Yongbin Li, Xiaodan Zhu, Ping Jian, Jian Sun:
Induction Networks for Few-Shot Text Classification. EMNLP/IJCNLP (1) 2019: 3902-3911 - [i1]Ruiying Geng, Binhua Li, Yongbin Li, Yuxiao Ye, Ping Jian, Jian Sun:
Few-Shot Text Classification with Induction Network. CoRR abs/1902.10482 (2019)
Coauthor Index
[c22] [i37] [i36] [j9] [c21] [c19] [c18] [c17] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [j8] [c16] [c15] [c14] [i26] [i25] [i24] [i22] [i21] [i20] [i19] [i18] [i17] [j6] [c13] [c10] [c9] [i16] [i14] [i13] [i11] [c8] [c6] [c5] [c4] [i10] [i9] [i8] [i6] [i5] [c3] [i4] [i3] [c2] [i2] [c1] [i1]
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