Supervisor:
|
|
Associate Professor Dr. Wu-Jun Li
|
Biography:
|
|
Currently I am a second year graduate student of Department of Computer Science and Technology in Nanjing
University and a member of LAMDA Group, lead by Professor Zhi-Hua Zhou.
I received my B.Sc. degree in Computer Science and Technology in June 2018 from Nanjing University. In the same year, I was admitted to study for a M.Sc. degree in Nanjing University without entrance examination.
|
Research Interest:
|
|
Learn to Hash, Large-Scale Image/Video Retrieval
|
Publications:
|
-
Proximal SCOPE for Distributed Sparse Learning. [pdf]
Shen-Yi Zhao, Gong-Duo Zhang, Ming-Wei Li and Wu-Jun Li.
Proceedings of the Annual Conference on Neural Information Processing Systems (NeurIPS), 2018.
|
Pre-Print:
|
-
Multiple Code Hashing for Efficient Image Retrieval. [paper link]
Ming-Wei Li, Qing-Yuan Jiang and Wu-Jun Li. [arXiv]
-
Deep Multi-Index Hashing for Person Re-Identification. [paper link]
Ming-Wei Li, Qing-Yuan Jiang and Wu-Jun Li. [arXiv]
-
On the Evaluation Metric for Hashing [paper link]
Qing-Yuan Jiang, Ming-Wei Li and Wu-Jun Li. [arXiv]
|
Internship Experience:
|
-
Bing Search, Microsoft, Beijing (Jun 2020 - Aug 2020).
Design a multitask multilingual pre-trained visual linguistics model to improve the accuracy of Bing image search, and complete the online test (28 billion pictures).
-
AI Lab, ByteDance, Beijing (Jul 2019 - Nov 2019).
Design a deep hash learning model to provide an efficient retrieval solution for Douyin short video deduplication service, and complete online test (2 billion videos).
|
Awards & Honors:
|
-
英才奖学金. 南京, 2019年10月
-
Outstanding Graduate of Nanjing University. Nanjing, June, 2018
-
JDD-2017 Jingdong Finance Global Data Explorer Contest Second Place (2/4624). Beijing, Dec, 2017
-
The Huawei Scholarship. Nanjing, Oct, 2017
-
Outstanding Student of Nanjing University. Nanjing, Dec, 2016
-
The Dong’s Orient Scholarship. Nanjing, Oct, 2016
-
The Liao’s Scholarship. Nanjing, Oct, 2015
|
Correspondence:
|
-
Mail:
Ming-Wei Li
National Key Laboratory for Novel Software Technology
Nanjing University, Xianlin Compus
163 Xianlin Avenue, Qixia District
Nanjing 210023, China
-
Office:
Room 113, Building of Computer Science and Technology,
Xianlin Campus of Nanjing University
-
Email:
limw#lamda.nju.edu.cn or plorylmw#gmail.com
|
