Liwei Wang

I am an Assistant Professor in Computer Science and Engineering department at The Chinese University of Hong Kong (CUHK). Before coming to HK, I have worked for more than two years as a Senior Researcher in NLP group of Tencent AI Lab at Bellevue, US.

I graduated with a PhD from Computer Vision group at University of Illinois at Urbana-Champaign, advised by Prof. Svetlana Lazebnik. Here is my Short Bio.

The multimodal Language and Vision (``LaVi'') team I lead in CSE@CUHK do research in NLP, Computer Vision, and also the intersection of two areas.

Multiple positions are available now in my team: Research Assistants, Interns, and Phd students. Please drop me an email if you want to work with me.

Email / LinkedIn / Google Scholar /

News

2021/04:
CUHK CSE 2022 Fall Early Admission starts! For Phd/Master applicants, please click .
2021/03:
Our work on Logical Reasoning has been accepted by NAACL 2021. Congrats to my intern.
2021/03:
Four CVPR 2021 papers are accepted including one oral paper.
2020/12:
I joined the CSE@CUHK as an assistant professor and started my team working on Language and Vision ("LaVi" Team).
2020/11:
Our "Arrival" team is ranked the 1st among almost 400 teams in 2020 BAAI-JD Multimodal Dialogue Challenge!
2020/07:
Two ECCV 2020 papers on vision+language are accepted! Congrats to my interns at Bellevue!
2020/06:
I am co-organizing the second Learning from Imperfect Data workshop in CVPR 2020.
2020/04:
To generate coherent video paragraphs? Take a look at our ACL 2020 long paper-MART.

Research Highlights

The goal of my research is to build multi-modal interactive AI systems that can not only understand and recreate the visual world but also communicate like human beings using natural language

, which covers topics of joint modeling of images and natural language; natural language generation and multimodal dialogue system; embodied AI; machine learning methods for Computer Vision / NLP.

Works done by my students or interns are indicated by '*'. Click full list

	Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation Liwei Wang, Jing Huang, Yin Li, Kun Xu, Zhengyuan Yang, Dong Yu CVPR, 2021 Code
	Comprehensive Image Captioning via Scene Graph Decomposition Yiwu Zhong, Liwei Wang, Jianshu Chen, Dong Yu, Yin Li ECCV*, 2020 Code
	Improving One-stage Visual Grounding by Recursive Sub-query Construction Zhengyuan Yang, Tianlang Chen, Liwei Wang, Jiebo Luo ECCV, 2020 Code
	MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning Jie Lei, Liwei Wang, Yelong Shen, Dong Yu, Tamara Berg, Mohit Bansal ACL*, 2020 Code
	A Fast and Accurate One-Stage Approach to Visual Grounding Zhengyuan Yang, Boqing Gong, Liwei Wang, Wenbing Huang, Dong Yu, Jiebo Luo ICCV*, 2019, Oral Presentation Code
	Fast, Diverse and Accurate Image Captioning Guided By Part-of-Speech Aditya Deshpande, Jyoti Aneja, Liwei Wang, Alexander Schwing, D. A. Forsyth CVPR, 2019, Oral Presentation
	Learning Two-Branch Neural Networks for Image-Text Matching Tasks Liwei Wang, Yin Li, Jing Huang, Svetlana Lazebnik TPAMI, 2018 Code
	Learning structural motif representations for efficient protein structure search Yang Liu, Qing Ye, Liwei Wang, Jian Peng Bioinformatics, 2018 Code
	Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space Liwei Wang, Alex Schwing, Svetlana Lazebnik NeurIPS, 2017
	Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models Bryan Plummer, Liwei Wang, Chris M. Cervantes, Juan C. Caicedo, Julia Hockenmaier, Svetlana Lazebnik IJCV, 2016 Project
	Learning Deep Structure-Preserving Image-Text Embeddings Liwei Wang, Yin Li, Svetlana Lazebnik CVPR, 2016 Code
	Improving Image-Sentence Embeddings Using Large Weakly Annotated Photo Collections Yunchao Gong, Liwei Wang, Micah Hodosh, Julia Hockenmaier2 Svetlana Lazebnik ECCV, 2014 Code
	Multi-Scale Orderless Pooling of Deep Convolutional Activation Features Yunchao Gong, Liwei Wang, Ruiqi Guo, Svetlana Lazebnik ECCV, 2014 Code
	Learning Sparse Covariance Patterns for Natural Scenes Liwei Wang, Yin Li, Jiaya Jia, Jian Sun, David Wipf, James M. Rehg CVPR, 2012
	Bayesian Face Revisited: A Joint Formulation Dong Chen, Xudong Cao, Liwei Wang, Fang Wen, Jian Sun ECCV, 2012

Former Interns and Mentored Students

I'm extremely thankful for working with these excellent interns and mentored students: Zhengyuan Yang (intern, phd@University of Rochester), Jie Lei (intern, phd@UNC Chapel Hill), Jeff Zhang (intern, phd@UIUC), Wanyu Du (intern, phd@University of Virginia), Darryl Hanan(intern, phd@UNC Chapel Hill), Yiwu Zhong (intern, phd@University of Wisconsin-Madison), Yifan (intern, phd@UCSD), Yinya (intern, phd@SYSU).

(Templates adapted from Arun's webpage.)