Peijie Dong

Dissecting the Runtime Performance of the Training, Fine-tuning, and Inference of Large Language Models

S. Shi, Longteng Zhang, Xinglin Pan, 2023, ArXiv.

VMRNN: Integrating Vision Mamba and LSTM for Efficient and Accurate Spatiotemporal Forecasting

Zhenheng Tang, Yujin Tang, Junwei Liang, 2024, ArXiv.

ParZC: Parametric Zero-Cost Proxies for Efficient NAS

Zimian Wei, Qiang Wang, Xinglin Pan, 2024, ArXiv.

STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs

Yi-Ting Guo, Qi-fei Liu, Zhenheng Tang, 2024, ArXiv.

FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion

Zhenheng Tang, Bo Han, Peijie Dong, 2024, 2410.20380.