I’m a first-year PhD student in MINE Lab of Computer Science and Engineering (CSE) at the University of Notre Dame starting Fall 2024, supervised by Prof. Xiangliang Zhang. I obtained my bachelor’s degree from Sichuan University in 2024. Previously, I was a visiting student under the guidance of Prof. Lichao Sun.

J Ye*, Y Wang*, Y Huang*, D Chen, Q Zhang, N Moniz, T Gao, W Geyer, ... The Thirteenth International Conference on Learning Representations (ICLR 2025) , 2025 34

2024年1月4日 · Yue Huang, Zhenwei Liu, Minghui Jiang, Xian Yu, Xinghao Ding*, Cost-effective Vehicle Type Recognition in Surveillance Images with Deep Active Learning and Web-nature Data. in IEEE Trans. Intelligent Transportation Systems, 2020，21(1): 79-86

Yue Huan received the B.S. degree from the School of Electrical and Electronic Engineering, North China Electric Power University, Hebei, China, where she is currently pursuing the master’s degree. Her research interest includes power system scheduling and operation.

2024年5月13日 · 基于稀疏表示分类的高内涵筛选显微图像神经突骨架提取研究，青年科学基金项目，2014-2016。 Yue Huang, Xuezhi Sun, Guangshu Hu, ‘An Integrated Genetics Approach to identify Protein Signal Pathway of Alzheimer Disease’. Computer Methods in biomechanics and Biomedical Engineering,.2011,14 (4):371-378.

黄粤，1973年生，分子遗传学与干细胞生物学家，基础医学研究所研究员，博士生导师。 1994年在吉林大学获分子生物学学士学位；1997年在中山大学获分子遗传学硕士学位； 2000年在中国协和医科大学获生化与分子生物学博士学位。 留校在生化系工作，任助理研究员，主要从事成簇基因表达调控机制研究。 2004年赴英国剑桥Sanger研究所进行博士后研究，主要从事基因纯合突变体文库构建和功能遗传筛选。 2009年回国在医学遗传学系工作至今，2010年升为研究员。 利用 …

Y. (Yue) Huan MSc Y. (Yue) Huan MSc Mail; Electrical Engineering, Mathematics and Computer Science Delft Institute of Applied Mathematics Mathematical Physics Pure profile Contact [email protected] ...

Junzhou Huang Jenkins Garrett Professor, Computer Science and Engineering, the University of Texas at Arlington Verified email at uta.edu

Yue Huang and Huaping Liu. Established a lifelong imitation learning framework to solve incremental multi-task robot imitation learning problems. Developed a LIL-DMPs lifelong imitation learning method by using the low-level control knowledge of robotic manipulation.