Shenghe Zheng is a third-year master degree candidate at the Department of Computer Science, Harbin Institute of Technology, fortunately advised by Prof.Hongzhi Wang. Previously, Shenghe Zheng obtained his Bachelor’s degree from Harbin Institute of Technology in June 2023.
His current research interests lie in Large Language Models, Multimodal Models, Efficient AI, and AI4Science. Currently, he is interning at the Shanghai AI Lab, conducting research related to large language models under the guidance of Dr. Peng Ye, and collaborating closely with Dr. Ganqu Cui. If you are seeking any form of academic cooperation, please feel free to email at shenghez.zheng@gmail.com.
📖 Educations
- 2023.08 - now, Master Candidate in Computer Science, Harbin Institute of Technology.
- Supervisor: Prof. Hongzhi wang, Rank: 1/129.
- 2019.08 - 2023.06, B.Eng. in Computer Science, Harbin Institute of Technology.
🔥 News
- 2025.09: 🎉 Our PHYSICS, MoE-Gyro, UltraDelta are accepted by NeurIPS 2025.
- 2025.06: 🎉 Our FREE-Merging is accepted by ICCV 2025.
- 2024.09: 🎉 Our IntraMix is accepted by NeurIPS 2024.
📝 Selected Publications
† indicates equal contribution
🎯Post-training
NeurIPS 2025 Scaling Physical Reasoning with the PHYSICS Dataset Shenghe Zheng†, Qianjia Cheng†, Junchi Yao†, Mengsong Wu, Haonan He, Ning Ding, Yu Cheng, Shuyue Hu, Lei Bai, Dongzhan Zhou, Ganqu Cui, Peng Ye.
Arxiv 2025 SCI-Verifier: Scientific Verifier with Thinking Shenghe Zheng†, Chenyu Huang†, Fangchen Yu, Junchi Yao, Jingqi Ye, Tao Chen, Yun Luo, Ning Ding, Lei Bai, Ganqu Cui, Peng Ye.
Tech Report P1: Mastering Physics Olympiads with Reinforcement Learning Jiacheng Chen, Qianjia Cheng, Fangchen Yu, Haiyuan Wan, Yuchen Zhang, Shenghe Zheng, Junchi Yao, Qingyang Zhang, Haonan He, Yun Luo, Yufeng Zhao, Futing Wang, Li Sheng, Chengxing Xie, Yuxin Zuo, Yizhuo Li, Wenxauan Zeng, Yulun Wu, Rui Huang, Dongzhan Zhou, Kai Chen, Yu Qiao, Lei Bai, Yu Cheng, Ning Ding, Bowen Zhou, Peng Ye, Ganqu Cui.
🎯Efficient AI
ICCV 2025 FREE-Merging: Fourier Transform for Model Merging with Lightweight Experts Shenghe Zheng, Hongzhi Wang.
NeurIPS 2024 IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors Shenghe Zheng, Hongzhi Wang, Xianglong Liu.
AAAI 2024 DCLP: Neural Architecture Predictor with Curriculum Contrastive Learning Shenghe Zheng, Hongzhi Wang, Tianyu Mu.
Arxiv 2025 Decouple and Orthogonalize: A Data-Free Framework for LoRA Merging Shenghe Zheng, Hongzhi Wang, Chenyu Huang, Xiaohui Wang, Tao Chen, Jiayuan Fan, Shuyue Hu, Peng Ye
ICDE 2023 AutoTSC: Optimization Algorithm to Automatically Solve the Time Series Classification Problem Tianyu Mu, Hongzhi Wang, Shenghe Zheng.
VLDB 2021 Assassin: an automatic classification system based on algorithm selection Tianyu Mu, Hongzhi Wang, Shenghe Zheng.
🎯AI4Science
NeurIPS 2025 MoE-Gyro: Self-Supervised Over-Range Reconstruction and Denoising for MEMS Gyroscopes Feiyang Pan†, Shenghe Zheng†, Chunyan Yin, Guangbin Dou
🎖 Honors and Awards
- National Scholarship, 2024
- Tencent Scholarship, 2024
- Outstanding Graduate of Harbin Institute of Technology, 2023
- Second Prize at the 14th Undergraduate Academic Forum, Harbin Institute of Technology, 2021
- Honorable Award in American Mathematics Modelling Contest for College Students, 2021
- Outstanding Student of Harbin Institute of Technology, 2019-2024
- Renmin Scholarship, 2019-2022
Professional Activities
Reviewer: ICLR 2026, AAAI 2026, NeurIPS2025, ECAI2025