Search Results for author: Yanming Wang

Found 8 papers, 3 papers with code

Graph Dynamical Networks for Unsupervised Learning of Atomic Scale Dynamics in Materials

1 code implementation18 Feb 2019 Tian Xie, Arthur France-Lanord, Yanming Wang, Yang Shao-Horn, Jeffrey C. Grossman

Understanding the dynamical processes that govern the performance of functional materials is essential for the design of next generation materials to tackle global energy and environmental challenges.

CHD:Consecutive Horizontal Dropout for Human Gait Feature Extraction

no code implementations11 Oct 2019 Chengtao Cai, Yueyuan Zhou, Yanming Wang

Despite gait recognition and person re-identification researches have made a lot of progress, the accuracy of identification is not high enough in some specific situations, for example, people carrying bags or changing coats.

Gait Recognition Person Re-Identification

Searching k-Optimal Goals for an Orienteering Problem on a Specialized Graph with Budget Constraints

no code implementations2 Nov 2020 Abhinav Sharma, Advait Deshpande, Yanming Wang, Xinyi Xu, Prashan Madumal, Anbin Hou

We propose a novel non-randomized anytime orienteering algorithm for finding k-optimal goals that maximize reward on a specialized graph with budget constraints.

Multi-objective Generative Design of Three-Dimensional Composite Materials

no code implementations26 Feb 2023 Zhengyang Zhang, Han Fang, Zhao Xu, Jiajie Lv, Yao Shen, Yanming Wang

Composite materials with 3D architectures are desirable in a variety of applications for the capability of tailoring their properties to meet multiple functional requirements.

Generative Adversarial Network

MRGazer: Decoding Eye Gaze Points from Functional Magnetic Resonance Imaging in Individual Space

no code implementations22 Nov 2023 Xiuwen Wu, Rongjie Hu, Jie Liang, Yanming Wang, Bensheng Qiu, Xiaoxiao Wang

Compared to the previous method, the proposed framework skips the fMRI co-registration step, simplifies the processing protocol and achieves end-to-end eye gaze regression.

Gaze Prediction

LLMem: Estimating GPU Memory Usage for Fine-Tuning Pre-Trained LLMs

1 code implementation16 Apr 2024 TaeHo Kim, Yanming Wang, Vatshank Chaturvedi, Lokesh Gupta, Seyeon Kim, Yongin Kwon, Sangtae Ha

Fine-tuning pre-trained large language models (LLMs) with limited hardware presents challenges due to GPU memory constraints.

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