Fundamental AI

Representation, reinforcement, and multitask learning, and human-in-the-loop

Meet the team

Yu Bai

Senior Research Scientist

Yu develops state-of-the-art research in uncertainty quantification, reinforcement learning, and theoretical foundations of deep learning & representation learning.

Junnan Li

Senior Research Scientist

Junnan develops state-of-the-art research in self-supervised, semi-supervised, and weakly-supervised learning.

Huan Wang

Director, Salesforce AI Research

Huan’s research interests include machine learning, big data analytics, and computer vision. Currently, Huan’s team works closely with the product teams to improve the product efficiency at Salesforce. At the same time, he has been actively publishing academic papers as well as participating in open-source software efforts. Huan used to be a senior applied scientist at Microsoft AI Research, a research scientist at Yahoo’s New York Labs, and an adjunct professor at the engineering school of New York University. He graduated as a Ph.D in Computer Science at Yale University in 2013.

Yingbo Zhou

Director, AI Research

As Director in AI Research, Yingbo leads the research in natural language processing, software intelligence, and representation learning. He also leads efforts in integrating state-of-the-art technology into Salesforce products.

Latest Publications

publication

CoMatch: Semi-supervised Learning with Contrastive Graph Regularization

read on arxiv

publication

Prototypical Contrastive Learning of Unsupervised Representations

read on arxiv

publication

MoPro: Webly Supervised Learning with Momentum Prototypes

read on arxiv

see all publications