Shenghe Zheng

According to our database, Shenghe Zheng authored at least 12 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

MoE-Gyro: Self-Supervised Over-Range Reconstruction and Denoising for MEMS Gyroscopes.

Feiyang Pan, Shenghe Zheng, Chunyan Yin, Guangbin Dou

CoRR, June, 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

CoRR, June, 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

CoRR, May, 2025

Breaking the Compression Ceiling: Data-Free Pipeline for Ultra-Efficient Delta Compression.

Xiaohui Wang, Peng Ye, Chenyu Huang, Shenghe Zheng, Bo Zhang, Wanli Ouyang, Tao Chen

CoRR, May, 2025

Dynamic Base model Shift for Delta Compression.

Chenyu Huang, Peng Ye, Shenghe Zheng, Xiaohui Wang, Lei Bai, Tao Chen, Wanli Ouyang

CoRR, May, 2025

Seeing Delta Parameters as JPEG Images: Data-Free Delta Compression with Discrete Cosine Transform.

Chenyu Huang, Peng Ye, Xiaohui Wang, Shenghe Zheng, Biqing Qi, Lei Bai, Wanli Ouyang, Tao Chen

CoRR, March, 2025

Brame: Hierarchical Data Management Framework for Cloud-Edge-Device Collaboration.

Xianglong Liu, Hongzhi Wang, Yingze Li, Minchong Li, Shenghe Zheng, Weihua Sun

CoRR, February, 2025

2024

FREE-Merging: Fourier Transform for Model Merging with Lightweight Experts.

Shenghe Zheng, Hongzhi Wang

CoRR, 2024

IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors.

Shenghe Zheng, Hongzhi Wang, Xianglong Liu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

DCLP: Neural Architecture Predictor with Curriculum Contrastive Learning.

Shenghe Zheng, Hongzhi Wang, Tianyu Mu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

TSC-AutoML: Meta-learning for Automatic Time Series Classification Algorithm Selection.

Tianyu Mu, Hongzhi Wang, Shenghe Zheng, Zhiyu Liang, Chunnan Wang, Xinyue Shao, Zheng Liang

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2021

Assassin: an Automatic claSSificAtion system baSed on algorithm SelectIoN.

Tianyu Mu, Hongzhi Wang, Shenghe Zheng, Shaoqing Zhang, Cheng Liang, Haoyun Tang

Proc. VLDB Endow., 2021