| 2026 | AAAI | SRACG: A Code Generation Framework with Selective Retrieval Augmentation. | Mengzhen Wang, Shukai Ma, Songwen Gong, Jiexin Wang, Ruolin Chen, Liuwen Cao, Yi Cai |
| 2026 | ACL | MavenCoder: Competitive Code Generation via Model Adaptive Planning Strategies and Multi-Perspective Verification Enhancement. | ZhenChun Xu, Yi Cai, Dajun Zheng, Li Yuan, Mengchen Zhao, Qixiang Wang, Jiexin Wang |
| 2026 | ACL | SeDev: Structured Semantic Exploration for LLM-Driven Code Generation. | Ronghui Yang, Jie Liu, Jiajie Zeng, Jiexin Wang, Jiuchuan Jiang, Bo An, Yi Cai, Mengchen Zhao |
| 2026 | SIGIR | Beyond Maintenance: A Benchmark and Multi-Agent Framework for Repository-Usage Code Generation. | Kaitao Lin, Songwen Gong, Adam Jatowt, Jiexin Wang, Yi Cai |
| 2025 | COLING | Rethinking-based Code Summarization with Chain of Comments. | Liuwen Cao, Hongkui He, Hailin Huang, Jiexin Wang, Yi Cai |
| 2025 | ICASSP | Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction. | Jiexin Wang, Yiju Guo, Bing Su |
| 2025 | ICASSP | Temporal Dynamics Decoupling with Inverse Processing for Enhancing Human Motion Prediction. | Jiexin Wang, Yiju Guo, Bing Su |
| 2025 | SANER | CSE-WSS: Code Structure Enhancement Framework with Weighted Semantic Similarity for Changeset-Based Bug Localization. | Zhenghao Liu, Li Yuan, Jiexin Wang, Yi Cai |
| 2024 | AAAI | Automated Defect Report Generation for Enhanced Industrial Quality Control. | Jiayuan Xie, Zhiping Zhou, Zihan Wu, Xinting Zhang, Jiexin Wang, Yi Cai, Qing Li |
| 2024 | COLING | Beyond Code: Evaluate Thought Steps for Complex Code Generation. | Liuwen Cao, Yi Cai, Jiexin Wang, Hongkui He, Hailin Huang |
| 2024 | COLING | A Logical Pattern Memory Pre-trained Model for Entailment Tree Generation. | Li Yuan, Yi Cai, Haopeng Ren, Jiexin Wang |
| 2024 | ICASSP | Domain-Adaptive and Subgroup-Specific Cascaded Temperature Regression for Out-of-Distribution Calibration. | Jiexin Wang, Jiahao Chen, Bing Su |
| 2024 | IJCNN | Reward-Punishment Reinforcement Learning with Maximum Entropy. | Jiexin Wang, Eiji Uchibe |
| 2023 | EMNLP | Scene Graph Enhanced Pseudo-Labeling for Referring Expression Comprehension. | Cantao Wu, Yi Cai, Liuwu Li, Jiexin Wang |
| 2023 | ICASSP | Toward Auto-Evaluation With Confidence-Based Category Relation-Aware Regression. | Jiexin Wang, Jiahao Chen, Bing Su |
| 2023 | SIGIR | BiTimeBERT: Extending Pre-Trained Language Representations with Bi-Temporal Information. | Jiexin Wang, Adam Jatowt, Masatoshi Yoshikawa, Yi Cai |
| 2022 | SIGIR | ArchivalQA: A Large-scale Benchmark Dataset for Open-Domain Question Answering over Historical News Collections. | Jiexin Wang, Adam Jatowt, Masatoshi Yoshikawa |
| 2021 | SIGIR | Event Occurrence Date Estimation based on Multivariate Time Series Analysis over Temporal Document Collections. | Jiexin Wang, Adam Jatowt, Masatoshi Yoshikawa |
| 2020 | ECIR | Answering Event-Related Questions over Long-Term News Article Archives. | Jiexin Wang, Adam Jatowt, Michael Frber, Masatoshi Yoshikawa |