The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights. - Maxime Gasse; Simon Bowly; Quentin Cappart; Jonas Charfreitag; Laurent Charlin; Didier Chételat; Antonia Chmiela; Justin Dumouchelle; Ambros M. Gleixner; Aleksandr M. Kazachkov; Elias B. Khalil; Pawel Lichocki; et al. (NeurIPS (Competition and Demos), 2021)

The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights. - Maxime Gasse; Quentin Cappart; Jonas Charfreitag; Laurent Charlin; Didier Chételat; Antonia Chmiela; Justin Dumouchelle; Ambros M. Gleixner; Aleksandr M. Kazachkov; Elias B. Khalil; Pawel Lichocki; Andrea Lodi 001; et al. (CoRR, 2022)

What Do You Want? User-centric Prompt Generation for Text-to-image Synthesis via Multi-turn Guidance. - Yilun Liu 001; Minggui He; Feiyu Yao; Yuhe Ji; Shimin Tao; Jingzhou Du; Duan Li; Jian Gao; Li Zhang; Hao Yang 006; Boxing Chen; Osamu Yoshie (CoRR, 2024)

Adapting Large Language Models to Log Analysis with Interpretable Domain Knowledge. - Yuhe Ji; Yilun Liu 001; Feiyu Yao; Minggui He; Shimin Tao; Xiaofeng Zhao; Chang Su 001; Xinhua Yang; Weibin Meng; Yuming Xie; Boxing Chen; Hao Yang 006 (CoRR, 2024)

LogLM: From Task-Based to Instruction-Based Automated Log Analysis. - Yilun Liu 001; Yuhe Ji; Shimin Tao; Minggui He; Weibin Meng; Shenglin Zhang; Yongqian Sun; Yuming Xie; Boxing Chen; Hao Yang 006 (SEIP@ICSE, 2025)

FastTalker: An unified framework for generating speech and conversational gestures from text. - Jian Zhang; Zixin Guo; Minggui He; Osamu Yoshie (Neurocomputing, 2025)

R1-T1: Fully Incentivizing Translation Capability in LLMs via Reasoning Learning. - Minggui He; Yilun Liu 001; Shimin Tao; Yuanchang Luo; Hongyong Zeng; Chang Su 001; Li Zhang; Hongxia Ma; Daimeng Wei; Weibin Meng; Hao Yang 006; Boxing Chen; et al. (CoRR, 2025)

MIDB: Multilingual Instruction Data Booster for Enhancing Multilingual Instruction Synthesis. - Yilun Liu 001; Chunguang Zhao; Xinhua Yang; Hongyong Zeng; Shimin Tao; Weibin Meng; Minggui He; Chang Su 001; Yan Yu; Hongxia Ma; Li Zhang; Daimeng Wei; et al. (CoRR, 2025)

ELSPR: Evaluator LLM Training Data Self-Purification on Non-Transitive Preferences via Tournament Graph Reconstruction. - Yan Yu; Yilun Liu 001; Minggui He; Shimin Tao; Weibin Meng; Xinhua Yang; Li Zhang; Hongxia Ma; Chang Su 001; Hao Yang 006; Fuliang Li (CoRR, 2025)

Emotion Knowledge Enhancement for Vision Large Language Models: A Self-Verification Approach for High-Quality Emotion Instruction Data Generation. - Feifan Wang; Tengfei Song; Minggui He; Chang Su 001; Zhanglin Wu; Hao Yang 006; Wenming Zheng; Osamu Yoshie (CoRR, 2025)