Weiran Huang is an associate professor in Qing Yuan Research Institute at Shanghai Jiao Tong University, working on machine learning theory, self-supervised learning and few-shot learning. Previously, he was an AI research scientist at Huawei Noah's Ark Lab. He received his Ph.D. in computer science from IIIS at Tsinghua University, under the supervision of Turing Award Laureate Prof. Andrew Yao and IEEE Fellow Dr. Wei Chen. Before that, he got his B.Eng. from EE at Tsinghua University. His work has been published in top-tier machine learning conferences such as NeurIPS, ICLR, AISTATS, KDD, CVPR, ICCV, AAAI, IJCAI, etc. He is serving as a reviewer for ICML, NeurIPS, ICLR, etc.
黄维然，上海交通大学清源研究院副教授，研究方向是机器学习理论、自监督学习、小样本学习等，曾在华为诺亚方舟实验室从事人工智能研究工作。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。他的研究成果在 NeurIPS、ICLR、AISTATS、KDD、CVPR、ICCV、AAAI、IJCAI 等人工智能顶级会议上发表，同时他也担任 ICML、NeurIPS、ICLR 等会议的审稿人。