The study of influence factors about work ability in Metal-cutting Processing. - Xiaojin Fu (ISDA (2), 2006)

A novel power optimization mechanism for pipelined ADCs. - Xiaojin Fu; He Tang (ASICON, 2015)

Design of Permanent Magnet Synchronous Motor Speed Controller Based on Adaptive Back-Stepping Theory. - Jing Lv; Zhen Tian; Xiaojin Fu; Song Liu (ICSAI, 2019)

Fault Analysis of Wind Turbine Gearbox Based on Vague Set and Fault Tree. - Hongyan Zhu; Xiaojin Fu (ICSAI, 2019)

A Circle Intersection Method for Bi-Objective Optimization. - Jianhua Zhou; Mian Li; Xiaojin Fu (J. Comput. Inf. Sci. Eng., 2021)

Bilevel learning for large-scale flexible flow shop scheduling. - Longkang Li; Xiaojin Fu; Hui-Ling Zhen; Mingxuan Yuan; Jun Wang 012; Jiawen Lu; Xialiang Tong; Jia Zeng; Dirk Schnieders (Comput. Ind. Eng., 2022)

LaTeX2Solver: a Hierarchical Semantic Parsing of LaTeX Document into Code for an Assistive Optimization Modeling Application. - Rindra Ramamonjison; Timothy T. L. Yu; Linzi Xing; Mahdi Mostajabdaveh; Xiaorui Li; Xiaojin Fu; Xiongwei Han; Yuanzhe Chen; Ren Li; Kun Mao 001; Yong Zhang 004 (ACL (demo), 2023)

Vegetable Disease and Pest Target Detection Algorithm Based on Improved YOLO v7. - Wenbin Chen; Xiaojin Fu; Zhiwei Jiang; Weijia Li (RICAI, 2023)

Research on Insulator Defect Detection by UAV Based on Deep Learning. - Zhiwei Jiang; Xiaojin Fu; Wenbin Chen; Sha Li (RICAI, 2023)

Towards Human-aligned Evaluation for Linear Programming Word Problems. - Linzi Xing; Xinglu Wang; Yuxi Feng; Zhenan Fan; Jing Xiong; Zhijiang Guo; Xiaojin Fu; Rindra Ramamonjison; Mahdi Mostajabdaveh; Xiongwei Han; Zirui Zhou; Yong Zhang 004 (LREC/COLING, 2024)

Chain-of-Experts: When LLMs Meet Complex Operations Research Problems. - Ziyang Xiao; Dongxiang Zhang; Yangjun Wu; Lilin Xu; Yuan Jessica Wang; Xiongwei Han; Xiaojin Fu; Tao Zhong; Jia Zeng; Mingli Song; Gang Chen 001 (ICLR, 2024)

Enhancing LLM Reasoning via Vision-Augmented Prompting. - Ziyang Xiao; Dongxiang Zhang; Xiongwei Han; Xiaojin Fu; Wing Yin Yu; Tao Zhong; Sai Wu; Yuan Wang 003; Jianwei Yin; Gang Chen 001 (NeurIPS, 2024)

Learning From Correctness Without Prompting Makes LLM Efficient Reasoner. - Yuxuan Yao; Han Wu 004; Zhijiang Guo; Biyan Zhou; Jiahui Gao; Sichun Luo; Hanxu Hou; Xiaojin Fu; Linqi Song (CoRR, 2024)

Elective Surgery Sequencing and Scheduling Under Uncertainty. - Xiaojin Fu; Jin Qi; Chen Yang 025; Han Ye (Manuf. Serv. Oper. Manag., 2024)

Large Language Models are good multi-lingual learners : When LLMs meet cross-lingual prompts. - Teng Wang; Zhenqi He; Wing-Yin Yu; Xiaojin Fu; Xiongwei Han (COLING, 2025)

Decision Information Meets Large Language Models: The Future of Explainable Operations Research. - Yansen Zhang; Qingcan Kang; Wing Yin Yu; Hailei Gong; Xiaojin Fu; Xiongwei Han; Tao Zhong; Chen Ma 001 (ICLR, 2025)

Unlocking Efficient Long-to-Short LLM Reasoning with Model Merging. - Han Wu 004; Yuxuan Yao; Shuqi Liu 001; Zehua Liu; Xiaojin Fu; Xiongwei Han; Xing Li; Hui-Ling Zhen; Tao Zhong; Mingxuan Yuan (CoRR, 2025)

Beyond Standard MoE: Mixture of Latent Experts for Resource-Efficient Language Models. - Zehua Liu; Han Wu 004; Ruifeng She; Xiaojin Fu; Xiongwei Han; Tao Zhong; Mingxuan Yuan (CoRR, 2025)

TrimR: Verifier-based Training-Free Thinking Compression for Efficient Test-Time Scaling. - Weizhe Lin; Xing Li; Zhiyuan Yang 003; Xiaojin Fu; Hui-Ling Zhen; Yaoyuan Wang; Xianzhi Yu; Wulong Liu; Xiaosong Li; Mingxuan Yuan (CoRR, 2025)

A Survey of Optimization Modeling Meets LLMs: Progress and Future Directions. - Ziyang Xiao; Jingrong Xie; Lilin Xu; Shisi Guan; Jingyan Zhu; Xiongwei Han; Xiaojin Fu; WingYin Yu; Han Wu 004; Wei Shi; Qingcan Kang; Jiahui Duan; et al. (CoRR, 2025)