Weiran Huang is an associate professor at Qing Yuan Research Institute of Shanghai Jiao Tong University. His research focuses on machine learning theory, self-supervised learning and few-shot learning. He earned his PhD in computer science from IIIS at Tsinghua University, under the supervision of Turing Award Laureate Prof. Andrew Yao and IEEE Fellow Dr. Wei Chen. Prior to that, he received his bachelor's degree from the department of electronic engineering at Tsinghua University. His work has been published in top-tier AI conferences such as ICML, NeurIPS, ICLR, AISTATS, CVPR and ICCV. He also serves as a reviewer for ICML, NeurIPS and ICLR.
黄维然，上海交通大学清源研究院副教授、博士生导师，研究方向是机器学习理论、自监督学习、小样本学习等。本科毕业于清华大学电子工程系，之后在清华大学交叉信息研究院获得博士学位，师从图灵奖得主姚期智教授和 IEEE Fellow 陈卫博士。他的研究成果发表在 ICML, NeurIPS, ICLR, AISTATS, CVPR, ICCV 等人工智能国际顶级会议上，同时他也担任 ICML, NeurIPS, ICLR 等会议的审稿人。