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 Tencent AI Lab at Bellevue, US.

I got my PhD from Computer Science Department, University of Illinois at Urbana-Champaign, advised by Prof. Svetlana Lazebnik. Here is my Short Bio.

The Language and Vision ("LaVi") Lab I founded in CSE@CUHK do research in NLP and Computer Vision, with the emphasis on the intersection of vision and language.

The goal of LaVi Lab is to build interactive AI systems that can not only understand the visual world but also communicate like human beings using natural language

, which covers topics of language+vision; embodied AI; multi-modal dialogue; learning from interaction; efficient AI; large language models.

If you want to join LaVi Lab, please send an email to

lwwang@cse.cuhk.edu.hk

Email / Google Scholar / To Join LaVi Lab / LaVi Students / Publications /

News

2023/10:
We are hiring Researchers, Interns, Postdocs and Phd students to work on topics of Embodied AI, Vision+Language, LLMs, multi-modal LLMs, etc.
2023/10:
Our work on LLMs Preference Model have been accepted to EMNLP 2023!
2023/10:
Our CLEVA, the comprehevsive Chinese Language Model Evalution Platform, has been accepted to EMNLP 2023 System Demonstration!
2023/07:
I was invited to give a talk in the IAS Workshop on Mathematical Theory for Emergent Intelligence.
2023/07:
Our work on Vision-Language Parameter-Efficient Tuning has been accepted to ICCV 2023.
2023/07:
Our work on reasoning with LLMs has been accepted to ACL 2023.
2023/06:
Will serve as an Area Chair of CVPR 2024
2022/10:
LaVi's two EMNLP 2022 Long papers on Dialogue research are accepted!
2022/10:
Serving as an Area Chair of CVPR 2023
2022/07:
Our LaVi team won the annual NLP challenge LIC 2022 (Multi-modal Video Understanding track) hosted by CCF and CIPS, check department news here .
2022/07:
One ECCV paper is accepted
2022/03:
Three papers got accepted to CVPR 2022 including our new work on Language + Vision.
2022/02:
One ACL 2022 long paper from our group on "Probing Pre-trained Models" has bee accepted.
2022/02:
Serving as an Area Chair of ECCV 2022 .

Recent Research Highlights

My students or interns are indicated by '*'. Click full publication list

	Learning Preference Model for LLMs via Automatic Preference Data Generation Shijia Huang, Jianqiao Zhao, Yanyang Li, Liwei Wang EMNLP 2023 Long Paper
	CLEVA: Chinese Language Models EVAluation Platform Yanyang Li, Jianqiao Zhao, Duo Zheng, Zi-Yuan Hu, Zhi Chen, Xiaohui Su, Yongfeng Huang, Shijia Huang, Dahua Lin, Michael R. Lyu, Liwei Wang EMNLP 2023 System Demonstration
	VL-PET: Vision-and-Language Parameter-Efficient Tuning via Granularity Control Ziyuan Hu, Yanyang Li, Michael R. Lyu, Liwei Wang ICCV, 2023 Code
	Multi-View Transformer for 3D Visual Grounding Shijia Huang, Yilun Chen, Jiaya Jia, Liwei Wang* CVPR, 2022 Code
	Eliciting Knowledge from Large Pre-Trained Models for Unsupervised Knowledge-Grounded Conversation Yanyang Li, Jianqiao Zhao, Michael R. Lyu, Liwei Wang EMNLP, 2022 Long Paper, Code
	FlowEval: A Consensus-Based Dialogue Evaluation Framework Using Segment Act Flows Jianqiao Zhao, Yanyang Li, Wanyu Du, Yangfeng Ji, Dong Yu, Michael R. Lyu, Liwei Wang* EMNLP, 2022 Long Paper, Code and Dataset
	Probing Structured Pruning on Multilingual Pre-trained Models: Settings, Algorithms, and Efficiency Yanyang Li, Fuli Luo, Runxin Xu, Songfang Huang, Fei Huang, Liwei Wang* ACL, 2022, long paper
	SAT: 2D Semantics Assisted Training for 3D Visual Grounding Zhengyuan Yang, Songyang Zhang, Liwei Wang, Jiebo Luo ICCV, 2021, Oral Presentation Code
	Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation Liwei Wang, Jing Huang, Yin Li, Kun Xu, Zhengyuan Yang, Dong Yu CVPR, 2021 Code
	Robust Dialogue Utterance Rewriting as Sequence Tagging Jie Hao, Linfeng Song, Liwei Wang, Kun Xu, Zhaopeng Tu, Dong Yu EMNLP, 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

(Templates adapted from Arun's webpage.)