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ORCIDTao Zhong 0004
Person information
- affiliation: Huawei, Huawei Technologies, Noah's Ark Lab, China
Other persons with the same name
- Tao Zhong — disambiguation page
- Tao Zhong 0001
![[0009-0008-8327-8345]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0009-0008-8327-8345")
— Intel, Beijing, China - Tao Zhong 0002 — Southern Medical University, School of Biomedical Engineering, Guangzhou, China
- Tao Zhong 0003 — Princeton University, Princeton, NJ, USA (and 1 more)
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2020 – today
- 2025
[c6]Yixuan Li, Can Chen, Jiajun Li, Jiahui Duan, Xiongwei Han, Tao Zhong, Vincent Chau, Weiwei Wu, Wanyuan Wang:
Fast and Interpretable Mixed-Integer Linear Program Solving by Learning Model Reduction. AAAI 2025: 27090-27098- [c5]Teng Wang, Wing Yin Yu, Zhenqi He, Zehua Liu, HaileiGong HaileiGong, Han Wu, Xiongwei Han, Wei Shi, Ruifeng She, Fangzhou Zhu, Tao Zhong:
BPP-Search: Enhancing Tree of Thought Reasoning for Mathematical Modeling Problem Solving. ACL (1) 2025: 821-838 - [c4]Yansen Zhang, Qingcan Kang, Wing Yin Yu, Hailei Gong, Xiaojin Fu, Xiongwei Han, Tao Zhong, Chen Ma:
Decision Information Meets Large Language Models: The Future of Explainable Operations Research. ICLR 2025 - [c3]Ziyang Xiao, Jingrong Xie, Lilin Xu, Shisi Guan, Jingyan Zhu, Xiongwei Han, Xiaojin Fu, WingYin Yu, Han Wu, Wei Shi, Qingcan Kang, Jiahui Duan, Tao Zhong, Mingxuan Yuan, Jia Zeng, Yuan Wang, Gang Chen, Dongxiang Zhang:
A Survey of Optimization Modeling Meets LLMs: Progress and Future Directions. IJCAI 2025: 10742-10750 - [i12]Yixuan Li, Can Chen, Jiajun Li, Jiahui Duan, Xiongwei Han, Tao Zhong, Vincent Chau, Weiwei Wu, Wanyuan Wang:
Fast and Interpretable Mixed-Integer Linear Program Solving by Learning Model Reduction. CoRR abs/2501.00307 (2025) - [i11]Yansen Zhang, Qingcan Kang, Wing Yin Yu, Hailei Gong, Xiaojin Fu, Xiongwei Han, Tao Zhong, Chen Ma:
Decision Information Meets Large Language Models: The Future of Explainable Operations Research. CoRR abs/2502.09994 (2025) - [i10]Zehua Liu, Han Wu, Yuxuan Yao, Ruifeng She, Xiongwei Han, Tao Zhong, Mingxuan Yuan:
LoRE-Merging: Exploring Low-Rank Estimation For Large Language Model Merging. CoRR abs/2502.10749 (2025) - [i9]Ruifeng She, Bowen Pang, Kai Li, Zehua Liu, Tao Zhong:
Automatic Operator-level Parallelism Planning for Distributed Deep Learning - A Mixed-Integer Programming Approach. CoRR abs/2503.09357 (2025) - [i8]Han Wu, Yuxuan Yao, Shuqi Liu, Zehua Liu, Xiaojin Fu, Xiongwei Han, Xing Li, Hui-Ling Zhen, Tao Zhong, Mingxuan Yuan:
Unlocking Efficient Long-to-Short LLM Reasoning with Model Merging. CoRR abs/2503.20641 (2025) - [i7]Zehua Liu, Han Wu, Ruifeng She, Xiaojin Fu, Xiongwei Han, Tao Zhong, Mingxuan Yuan:
Beyond Standard MoE: Mixture of Latent Experts for Resource-Efficient Language Models. CoRR abs/2503.23100 (2025) - [i6]Zhihao Zhang, Siyuan Li, Chenxi Li, Feifan Liu, Mengjing Chen, Kai Li, Tao Zhong, Bo An, Peng Liu:
DHEvo: Data-Algorithm Based Heuristic Evolution for Generalizable MILP Solving. CoRR abs/2507.15615 (2025) - [i5]Siyuan Li, Yifan Yu, Yanchen Deng, Zhihao Zhang, Mengjing Chen, Fangzhou Zhu, Tao Zhong, Jianye Hao, Peng Liu, Bo An:
Collab-Solver: Collaborative Solving Policy Learning for Mixed-Integer Linear Programming. CoRR abs/2508.03030 (2025) - [i4]Ziyang Xiao, Jingrong Xie, Lilin Xu, Shisi Guan, Jingyan Zhu, Xiongwei Han, Xiaojin Fu, WingYin Yu, Han Wu, Wei Shi, Qingcan Kang, Jiahui Duan, Tao Zhong, Mingxuan Yuan, Jia Zeng, Yuan Wang, Gang Chen, Dongxiang Zhang:
A Survey of Optimization Modeling Meets LLMs: Progress and Future Directions. CoRR abs/2508.10047 (2025) - [i3]Jiajun Li, Ran Hou, Yu Ding, Yixuan Li, Shisi Guan, Jiahui Duan, Xiongwei Han, Tao Zhong, Vincent Chau, Weiwei Wu, Wanyuan Wang:
Constraint Matters: Multi-Modal Representation for Reducing Mixed-Integer Linear programming. CoRR abs/2508.18742 (2025) - 2024
- [c2]Ziyang Xiao, Dongxiang Zhang, Yangjun Wu, Lilin Xu, Yuan Jessica Wang, Xiongwei Han, Xiaojin Fu, Tao Zhong, Jia Zeng, Mingli Song, Gang Chen:
Chain-of-Experts: When LLMs Meet Complex Operations Research Problems. ICLR 2024 - [c1]Ziyang Xiao, Dongxiang Zhang, Xiongwei Han, Xiaojin Fu, Wing Yin Yu, Tao Zhong, Sai Wu, Yuan Wang, Jianwei Yin, Gang Chen:
Enhancing LLM Reasoning via Vision-Augmented Prompting. NeurIPS 2024 - [i2]Xijun Li, Fangzhou Zhu, Hui-Ling Zhen, Weilin Luo, Meng Lu, Yimin Huang, Zhenan Fan, Zirui Zhou, Yufei Kuang, Zhihai Wang, Zijie Geng, Yang Li, Haoyang Liu, Zhiwu An, Muming Yang, Jianshu Li, Jie Wang, Junchi Yan, Defeng Sun, Tao Zhong, Yong Zhang, Jia Zeng, Mingxuan Yuan, Jianye Hao, Jun Yao, Kun Mao:
Machine Learning Insides OptVerse AI Solver: Design Principles and Applications. CoRR abs/2401.05960 (2024) - [i1]Teng Wang, Wing-Yin Yu, Zhenqi He, Zehua Liu, Xiongwei Han, Hailei Gong, Han Wu, Wei Shi, Ruifeng She, Fangzhou Zhu, Tao Zhong:
BPP-Search: Enhancing Tree of Thought Reasoning for Mathematical Modeling Problem Solving. CoRR abs/2411.17404 (2024)
Coauthor Index
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