no code implementations • 14 Mar 2024 • Lin Dong, Subir Majumder, Fatemeh Doudi, Yuting Cai, Chao Tian, Dileep Kalathi, Kevin Ding, Anupam A. Thatte, Le Xie
Large Language Models (LLMs) as chatbots have drawn remarkable attention thanks to their versatile capability in natural language processing as well as in a wide range of tasks.
no code implementations • 6 Jun 2023 • Huanzhang Dou, Pengyi Zhang, Yuhan Zhao, Lin Dong, Zequn Qin, Xi Li
In this work, we propose to solve the hard sample issue with a Memory-augmented Progressive Learning network (GaitMPL), including Dynamic Reweighting Progressive Learning module (DRPL) and Global Structure-Aligned Memory bank (GSAM).
1 code implementation • 7 Apr 2022 • YiMin Dou, Kewen Li, Hongjie Duan, Timing Li, Lin Dong, Zongchao Huang
The interpolation and reconstruction of missing traces is a crucial step in seismic data processing, moreover it is also a highly ill-posed problem, especially for complex cases such as high-ratio random discrete missing, continuous missing and missing in fault-rich or salt body surveys.
no code implementations • 5 Jan 2021 • Huanzhang Dou, Wenhu Zhang, Pengyi Zhang, Yuhan Zhao, Songyuan Li, Zequn Qin, Fei Wu, Lin Dong, Xi Li
With the motivation of practical gait recognition applications, we propose to automatically create a large-scale synthetic gait dataset (called VersatileGait) by a game engine, which consists of around one million silhouette sequences of 11, 000 subjects with fine-grained attributes in various complicated scenarios.