About Me

I am an Assistant Professor in the Department of Computer Engineering and an affiliated faculty member with Computer Science department. My research interests primarily revolve around general-purpose AI. Over the past few years, I have had the pleasure of working alongside a cohort of exceptionally bright and talented students who have accompanied me on this academic journey. Sometimes, they listen to me. I have a charming feline companion 🐈 that graces my life, Mr. Tiger, who brings a lot of joy to the family.


Research Interests

My research endeavors have been dedicated to the development of general intelligence for X tailored to address interdisciplinary challenges (e.g., autonomous driving, medical science, and fusion). Through these multidisciplinary investigations, I strive to contribute to the advancement of knowledge and the resolution of pressing issues across diverse disciplines (e.g., transportation, health care, and physics). These endeavors have garnered support from National Science Foundation (NSF) and indurstial partners. By harnessing the power of AI, I aim to unravel complexities, devise innovative strategies, and ultimately make substantial contributions to the betterment of society. I am continuously looking for doctoral students to work with my research projects. If you want to develop awesome AI tools to address real-world problems, I think we need to talk 😄.


Research Projects

Project 1: Vision-Anchored Automation of Bird-Sized UAVs in Unknown Cluttered Indoor Environments
The research project aims to develop full automation for bird-sized UAVs using only an RGB-D camera, and seeks to answer fundamental questions for UAV automation, including constructing visual perception and developing visual navigation.

Services

  • Area Chair: The Conference on Computer Vision and Pattern Recognition (CVPR), 2023-
  • Senior PC: The International Joint Conference on Artificial Intelligence (IJCAI), 2023-
  • Senior PC: The Association for the Advancement of Artificial Intelligence (AAAI), 2023-
  • Associate editor: IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023-
  • Associate editor: Neurocomputing, 2024-
  • Associate editor: Multimedia Tools and Applications (MTAP), 2023-
  • Associate editor: ACM Journal on Autonomous Transportation (JATS), 2023-

Publications

2024
Text Is MASS: Modeling as Stochastic Embedding for Text-Video Retrieval

Jiamian Wang, Guohao Sun, Pichao Wang, Dongfang Liu, Sohail Dianat, Majid Rabbani, Raghuveer Rao, Zhiqiang Tao

CVPR 2024
ProMotion: Prototypes As Motion Learners

Yawen Lu, Dongfang Liu*, Qifan Wang, Cheng Han, Yiming Cui, Zhiwen Cao, Xueling Zhang, Yingjie Victor Chen, Heng Fan

CVPR 2024
Image Translation as Diffusion Visual Programmers

Cheng Han, James Chenhao Liang, Qifan Wang, MAJID RABBANI, Sohail Dianat, Raghuveer Rao, YingNian Wu, Dongfang Liu*

ICLR 2024
Facing the Elephant in the Room: Visual Prompt Tuning or Full finetuning?

Cheng Han, Qifan Wang, Yiming Cui, Wenguan Wang, Lifu Huang, Siyuan Qi, Dongfang Liu*

ICLR 2024
Fusion is Not Enough: Single Modal Attack on Fusion Models for 3D Object Detection

Zhiyuan Cheng, Hongjun Choi, Shiwei Feng, James Chenhao Liang, Guanhong Tao, Dongfang Liu, Michael Zuzak, Xiangyu Zhang

ICLR 2024
2023
Reformulating Graph Kernels for Self-supervised Space-Time Correspondence Learning

Zheyun Qin, Xiankai Lu, Dongfang Liu, Xiushan Nie, Yilong Yin, Jianbing Shen, Alexander C. Loui.

TIP 2023
APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models

Qifan Wang, Yuning Mao, Jingang Wang, Hanchao Yu, Shaoliang Nie, Sinong Wang, Fuli Feng, Lifu Huang, Xiaojun Quan, Zenglin Xu, Dongfang Liu*.

EMNLP 2023
ClusterFomer: Clustering As A Universal Visual Learner

James Liang, Yiming Cui, Qifan Wang, Tong Geng, Wenguan Wang, Dongfang Liu*.

NeurIPS 2023
E^2VPT: An Effective and Efficient Approach for Visual Prompt Tuning

Cheng Han, Qifan Wang, Yiming Cui, Zhiwen Cao, Wenguan Wang, Siyuan Qi, Dongfang Liu*.

ICCV 2023
Tripartite Feature Enhanced Pyramid Network for Dense Prediction

Dongfang Liu*, James Liang, Tony Geng, Alexander Loui, Tianfei Zhou.

TIP 2023
CLUSTSEG: Clustering for Universal Segmentation

James Liang, Tianfei Zhou, Dongfang Liu*, Wenguan Wang.

ICML 2023
MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction

Li Yang, Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Yu Chen, Madian Khabsa, Sinong Wang, Zenglin Xu, Dongfang Liu*.

ACL 2023
MUSTIE: Multimodal Structural Transformer for Web Information Extraction

Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Zenglin Xu, Shaoliang Nie, Sinong Wang, Madian Khabsa, Hamed Firooz, Dongfang Liu*.

ACL 2023
Prompt Learns Prompt: Exploring Knowledge-Aware Generative Prompt Collaboration For Video Captioning

Liqi Yan, Cheng Han, Zenglin Xu, Dongfang Liu*, Qifan Wang.

IJCAI 2023
TransFlow: Transformer as Flow Learner

Yawen Lu, Qifan Wang, Siqi Ma, Tong Geng, Yingjie Victor Chen, Huaijin Chen, Dongfang Liu*.

CVPR 2023
Visual Recognition with Deep Nearest Centroids
Wenguan Wang, Cheng Han, Tianfei Zhou, Dongfang Liu*.
ICLR 2023
Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks
Zhiyuan Cheng, James Liang, Guanhong Tao, Dongfang Liu*, Xiangyu Zhang*.
ICLR 2023