Talk Bio

Weiran Huang is an Associate Professor at Qing Yuan Research Institute of Shanghai Jiao Tong University and a Research Consultant at Shanghai AI Lab. His research expertise encompasses machine learning theory, self-supervised learning, and few-shot learning. He was recognized as a 2024 MSRA StarTrack Scholar and a 2023 CCF-Baidu Open Fund Scholar. He earned his PhD in computer science from the Institute for Interdisciplinary Information Sciences (IIIS) at Tsinghua University, under the supervision of Turing Award Laureate Prof. Andrew Yao and IEEE Fellow Prof. 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, CVPR, and ICCV, amassing over 1000 citations on Google Scholar. His work was shortlisted as an ICCV 2023 Best Paper Finalist (top 0.2%).

黄维然，上海交通大学清源研究院副教授、博士生导师、独立 PI，上海人工智能实验室科研顾问，研究方向是机器学习理论、自监督学习、小样本学习等，入选 2024 年“微软亚研院铸星计划”学者（17 人）、2023 年“CCF-百度松果基金”学者（26 人）。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 陈卫教授。目前在 ICML, NeurIPS, ICLR, CVPR, ICCV 等高水平人工智能国际会议上累计发表论文 20 余篇，谷歌学术引用量超过 1000 次，代表工作曾入选 ICCV 2023 最佳论文候选名单（前 0.2%）。