Multimodal Data Intelligence

Understanding content and generating personalized insights using various data types

Meet the team

Vena Li
Director, Applied Research

Vena is a director of applied research, where she leads both cross-organizational collaboration and research on data intelligence, autoML, and recommender system.

Wenpeng Yin
Senior Research Scientist

Wenpeng is a senior research scientist in the Research Team. Wenpeng is a domain expert in textual entailment, few-short learning.

Ran Xu
Director, AI Research

As Director of Salesforce AI Research, Ran Xu leads Computer Vision and Multimodal research, helps the team to transform research into AI products and drive customer success.

Chetan Ramaiah
Senior Manager, AI Research

As a part of the Applied Research Computer vision group, Chetan leads the effort in building the next generation of AI products, from ideation to production.

Junnan Li
Senior Research Scientist

Junnan develops state-of-the-art research in multimodal learning and computer vision.

Mingfei Gao
Senior Research Scientist

Mingfei works on diverse research topics from Document AI, multimodal learning to video understanding.

Latest Publications and News

publication
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation
read on arxiv
publication
Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start
read on arxiv
publication
BATCHMIXUP: Improving Training by Interpolating Hidden States of the Entire Mini-batch
read on arxiv
in the media
CoMatch: Advancing Semi-supervised Learning with Contrastive Graph Regularization
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in the media
SimpleTOD: A Simple Language Model For Task Oriented Dialogue
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