40 citations · 72 across the 7 of their papers we have counts for
7 papers
FLM-101B: An Open LLM and How to Train It with $100K Budget
Xiang Li, Yiqun Yao, Xin Jiang +10
Large language models (LLMs) are considered important approaches towards foundational machine intelligence, achieving remarkable success in Natural Language Processing and multimod…
Optimal energy harvesting efficiency from vortex-induced vibration of a circular cylinder under flow
Peng Han, Qiaogao Huang, Guang Pan +4
This work applies a combined approach a reduced-order model (ROM) together with experiments and direct numerical simulations to investigate the optimal efficiency of fluid-flow ene…
Can Pre-trained Models Really Learn Better Molecular Representations for AI-aided Drug Discovery?
Ziqiao Zhang, Yatao Bian, Ailin Xie +3
Self-supervised pre-training is gaining increasingly more popularity in AI-aided drug discovery, leading to more and more pre-trained models with the promise that they can extract…
GEO satellites on-orbit repairing mission planning with mission deadline constraint using a large neighborhood search-genetic algorithm
Peng Han, Yanning Guo, Chuanjiang Li +2
This paper proposed a novel large neighborhood search-adaptive genetic algorithm (LNS-AGA) for many-to-many on-orbit repairing mission planning of geosynchronous orbit (GEO) satell…
Fast Constraint Propagation for Image Segmentation
Peng Han
This paper presents a novel selective constraint propagation method for constrained image segmentation. In the literature, many pairwise constraint propagation methods have been de…
Confinement effects on the vibrational properties of III-V and II-VI nanoclusters
Peng Han, Gabriel Bester
We present a first-principles study of the confinement effects on the vibrational properties of thousand atoms (radii up to 16.2 Å) colloidal III-V and II-VI nanoclusters. We descr…