Induction Networks for Few-Shot Text Classification. - Ruiying Geng; Binhua Li; Yongbin Li; Xiaodan Zhu 001; Ping Jian; Jian Sun 021 (EMNLP/IJCNLP (1), 2019)

Few-Shot Text Classification with Induction Network. - Ruiying Geng; Binhua Li; Yongbin Li; Yuxiao Ye; Ping Jian; Jian Sun 021 (CoRR, 2019)

Dynamic Memory Induction Networks for Few-Shot Text Classification. - Ruiying Geng; Binhua Li; Yongbin Li; Jian Sun 021; Xiaodan Zhu 001 (ACL, 2020)

An Infrared and Visible Image Fusion Algorithm Based on LSWT-NSST. - Junwu Li; Binhua Li; Yaoxi Jiang (IEEE Access, 2020)

A New Real-Time Lucky Imaging Algorithm and its Implementation Techniques. - Jinliang Wang; Binhua Li; Kai Xing (IEEE Access, 2020)

Dynamic Hybrid Relation Exploration Network for Cross-Domain Context-Dependent Semantic Parsing. - Binyuan Hui; Ruiying Geng; Qiyu Ren; Binhua Li; Yongbin Li; Jian Sun 021; Fei Huang 002; Luo Si; Pengfei Zhu 001; Xiaodan Zhu 001 (AAAI, 2021)

Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing. - Binyuan Hui; Ruiying Geng; Qiyu Ren; Binhua Li; Yongbin Li; Jian Sun 021; Fei Huang 002; Luo Si; Pengfei Zhu 001; Xiaodan Zhu 001 (CoRR, 2021)

Improving Text-to-SQL with Schema Dependency Learning. - Binyuan Hui; Xiang Shi; Ruiying Geng; Binhua Li; Yongbin Li; Jian Sun 021; Xiaodan Zhu 001 (CoRR, 2021)

Graph-to-Text Generation with Dynamic Structure Pruning. - Liang Li; Ruiying Geng; Bowen Li; Can Ma; Yinliang Yue; Binhua Li; Yongbin Li (COLING, 2022)

SUN: Exploring Intrinsic Uncertainties in Text-to-SQL Parsers. - Bowen Qin; Lihan Wang; Binyuan Hui; Bowen Li 002; Xiangpeng Wei; Binhua Li; Fei Huang 002; Luo Si; Min Yang 007; Yongbin Li (COLING, 2022)

STAR: SQL Guided Pre-Training for Context-dependent Text-to-SQL Parsing. - Zefeng Cai; Xiangyu Li; Binyuan Hui; Min Yang 007; Bowen Li 002; Binhua Li; Zheng Cao; Weijie Li; Fei Huang 002; Luo Si; Yongbin Li (EMNLP (Findings), 2022)

Towards Generalizable and Robust Text-to-SQL Parsing. - Chang Gao; Bowen Li 002; Wenxuan Zhang 001; Wai Lam; Binhua Li; Fei Huang 002; Luo Si; Yongbin Li (EMNLP (Findings), 2022)

Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL Parsing. - Lihan Wang; Bowen Qin; Binyuan Hui; Bowen Li 002; Min Yang 007; Bailin Wang; Binhua Li; Jian Sun 021; Fei Huang 002; Luo Si; Yongbin Li (KDD, 2022)

Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL Parsing. - Lihan Wang; Bowen Qin; Binyuan Hui; Bowen Li 002; Min Yang 007; Bailin Wang; Binhua Li; Fei Huang 002; Luo Si; Yongbin Li (CoRR, 2022)

A Survey on Text-to-SQL Parsing: Concepts, Methods, and Future Directions. - Bowen Qin; Binyuan Hui; Lihan Wang; Min Yang 007; Jinyang Li 003; Binhua Li; Ruiying Geng; Rongyu Cao; Jian Sun 021; Luo Si; Fei Huang 002; Yongbin Li (CoRR, 2022)

Application of Teager-Kaiser Energy Operator in the Early Fault Diagnosis of Rolling Bearings. - Xiangfu Shi; Zhen Zhang; Zhiling Xia; Binhua Li; Xin Gu; Tingna Shi (Sensors, 2022)

CATS: A Pragmatic Chinese Answer-to-Sequence Dataset with Large Scale and High Quality. - Liang Li 006; Ruiying Geng; Chengyang Fang; Bing Li 001; Can Ma; Rongyu Cao; Binhua Li; Fei Huang 002; Yongbin Li (ACL (1), 2023)

History Semantic Graph Enhanced Conversational KBQA with Temporal Information Modeling. - Hao Sun 015; Yang Li; Liwei Deng 001; Bowen Li; Binyuan Hui; Binhua Li; Yunshi Lan; Yan Zhang 117; Yongbin Li (ACL (1), 2023)

Plan-then-Seam: Towards Efficient Table-to-Text Generation. - Liang Li; Ruiying Geng; Chengyang Fang; Bing Li; Can Ma; Binhua Li; Yongbin Li (EACL (Findings), 2023)

Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs. - Jinyang Li 003; Binyuan Hui; Ge Qu; Jiaxi Yang; Binhua Li; Bowen Li 002; Bailin Wang; Bowen Qin; Ruiying Geng; Nan Huo; Xuanhe Zhou; Chenhao Ma 001; et al. (NeurIPS, 2023)

Large Language Models are Versatile Decomposers: Decomposing Evidence and Questions for Table-based Reasoning. - Yunhu Ye; Binyuan Hui; Min Yang 007; Binhua Li; Fei Huang 002; Yongbin Li (SIGIR, 2023)

Large Language Models are Versatile Decomposers: Decompose Evidence and Questions for Table-based Reasoning. - Yunhu Ye; Binyuan Hui; Min Yang 007; Binhua Li; Fei Huang 002; Yongbin Li (CoRR, 2023)

Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs. - Jinyang Li 003; Binyuan Hui; Ge Qu; Binhua Li; Jiaxi Yang; Bowen Li 002; Bailin Wang; Bowen Qin; Rongyu Cao; Ruiying Geng; Nan Huo; Xuanhe Zhou; et al. (CoRR, 2023)

Iterative Forward Tuning Boosts In-context Learning in Language Models. - Jiaxi Yang; Binyuan Hui; Min Yang 007; Binhua Li; Fei Huang 002; Yongbin Li (CoRR, 2023)

MrFDDGAN: Multireceptive Field Feature Transfer and Dual Discriminator-Driven Generative Adversarial Network for Infrared and Color Visible Image Fusion. - Junwu Li; Binhua Li; Yaoxi Jiang; Longwei Tian; Weiwei Cai 001 (IEEE Trans. Instrum. Meas., 2023)

Schema dependency-enhanced curriculum pre-training for table semantic parsing. - Bowen Qin; Binyuan Hui; Lihan Wang; Min Yang 007; Binhua Li; Fei Huang 002; Luo Si; Qingshan Jiang; Yongbin Li (Knowl. Based Syst., 2023)

DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories. - Jia Li 012; Ge Li 001; Yunfei Zhao; Yongmin Li; Huanyu Liu; Hao Zhu; Lecheng Wang; Kaibo Liu; Zheng Fang; Lanshen Wang; Jiazheng Ding; Xuanming Zhang; et al. (ACL (Findings), 2024)

Iterative Forward Tuning Boosts In-Context Learning in Language Models. - Jiaxi Yang; Binyuan Hui; Min Yang 007; Bailin Wang; Bowen Li 002; Binhua Li; Fei Huang 002; Yongbin Li (ACL (1), 2024)

EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations. - Jia Li 011; Ge Li 001; Xuanming Zhang; Yunfei Zhao; Yihong Dong; Zhi Jin; Binhua Li; Fei Huang 002; Yongbin Li (NeurIPS, 2024)

DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories. - Jia Li 012; Ge Li 001; Yunfei Zhao; Yongmin Li; Huanyu Liu; Hao Zhu; Lecheng Wang; Kaibo Liu; Zheng Fang; Lanshen Wang; Jiazheng Ding; Xuanming Zhang; et al. (CoRR, 2024)

How to Understand Whole Software Repository? - Yingwei Ma; Qingping Yang; Rongyu Cao; Binhua Li; Fei Huang 002; Yongbin Li (CoRR, 2024)

Codev-Bench: How Do LLMs Understand Developer-Centric Code Completion? - Zhenyu Pan; Rongyu Cao; Yongchang Cao; Yingwei Ma; Binhua Li; Fei Huang 002; Han Liu 001; Yongbin Li (CoRR, 2024)

In-Context Transfer Learning: Demonstration Synthesis by Transferring Similar Tasks. - Dingzirui Wang; Xuangliang Zhang; Qiguang Chen; Longxu Dou; Xiao Xu 005; Rongyu Cao; Yingwei Ma; Qingfu Zhu; Wanxiang Che; Binhua Li; Fei Huang 002; Yongbin Li (CoRR, 2024)

EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations. - Jia Li 012; Ge Li 001; Xuanming Zhang; Yunfei Zhao; Yihong Dong; Zhi Jin; Binhua Li; Fei Huang 002; Yongbin Li (CoRR, 2024)

Lingma SWE-GPT: An Open Development-Process-Centric Language Model for Automated Software Improvement. - Yingwei Ma; Rongyu Cao; Yongchang Cao; Yue Zhang 004; Jue Chen; Yibo Liu; Yuchen Liu; Binhua Li; Fei Huang 002; Yongbin Li (CoRR, 2024)

LLMs as Continuous Learners: Improving the Reproduction of Defective Code in Software Issues. - Yalan Lin; Yingwei Ma; Rongyu Cao; Binhua Li; Fei Huang 002; Xiaodong Gu; Yongbin Li (CoRR, 2024)

Unifying Structured Data as Graph for Data-to-Text Pre-Training. - Shujie Li 001; Liang Li 006; Ruiying Geng; Min Yang 007; Binhua Li; Guanghu Yuan; Wanwei He; Shao Yuan; Can Ma; Fei Huang 002; Yongbin Li (Trans. Assoc. Comput. Linguistics, 2024)

ExploraCoder: Advancing Code Generation for Multiple Unseen APIs via Planning and Chained Exploration. - Yunkun Wang; Yue Zhang 004; Zhen Qin 004; Chen Zhi; Binhua Li; Fei Huang 002; Yongbin Li; Shuiguang Deng (ACL (1), 2025)

Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining. - Jie Cheng 009; Ruixi Qiao; Yingwei Ma; Binhua Li; Gang Xiong 001; Qinghai Miao; Yongbin Li; Yisheng Lv (ICLR, 2025)

Do Code LLMs Understand Design Patterns? - Zhenyu Pan; Xuefeng Song; Yunkun Wang; Rongyu Cao; Binhua Li; Yongbin Li; Han Liu 001 (LLM4Code@ICSE, 2025)

Alibaba LingmaAgent: Improving Automated Issue Resolution via Comprehensive Repository Exploration. - Yingwei Ma; Qingping Yang; Rongyu Cao; Binhua Li; Fei Huang 002; Yongbin Li (SIGSOFT FSE Companion, 2025)

SWE-GPT: A Process-Centric Language Model for Automated Software Improvement. - Yingwei Ma; Rongyu Cao; Yongchang Cao; Yue Zhang; Jue Chen; Yibo Liu; Yuchen Liu; Binhua Li; Fei Huang; Yongbin Li (Proc. ACM Softw. Eng., 2025)

Thinking Longer, Not Larger: Enhancing Software Engineering Agents via Scaling Test-Time Compute. - Yingwei Ma; Binhua Li; Yihong Dong; Xue Jiang; Rongyu Cao; Jue Chen; Fei Huang 002; Yongbin Li (CoRR, 2025)

Large Language Model Unlearning for Source Code. - Xue Jiang; Yihong Dong; Zheng Fang; Yingwei Ma; Tangxinyu Wang; Rongyu Cao; Binhua Li; Zhi Jin; Wenpin Jiao; Yongbin Li; Ge Li 001 (CoRR, 2025)

Format-Adapter: Improving Reasoning Capability of LLMs by Adapting Suitable Format. - Dingzirui Wang; Xuanliang Zhang; Rongyu Cao; Longxu Dou; Xianzhen Luo; Yingwei Ma; Qingfu Zhu; Wanxiang Che; Binhua Li; Fei Huang 002; Yongbin Li (CoRR, 2025)

RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy Optimization. - Yihong Dong; Xue Jiang; Yongding Tao; Huanyu Liu; Kechi Zhang; Lili Mou; Rongyu Cao; Yingwei Ma; Jue Chen; Binhua Li; Zhi Jin; Fei Huang 002; et al. (CoRR, 2025)