I am an assistant professor at Department of Computer Science and Software Engineering, Auburn University.

I am interested in developing the essential AI techniques and seamlessly integrating them for creating or empowering real-time downstream applications in next-generation infrastructure systems.

I received my Ph.D. in Computer Science at Department of Computer & Information Science & Engineering, University of Florida under the supervision of Prof. Anand Rangarajan and Prof. Sanjay Ranka. I received B.E. degree from Department of Software Engineering, Sichuan University in June, 2015. From 2014-2016, I worked as a Research Assistant at the Multimedia Lab, Department of Information Engineering, Chinese University of Hong Kong (MMLab, CUHK) and Multimedia Research Center, Shenzhen Institute of Advanced Technology (MMLab, SIAT) under the supervision of Dr. Weilin Huang and Prof. Chen Change Loy, supported by Prof. Yu Qiao and Prof. Xiaoou Tang. I was a Research Intern (probably the first intern of the center) at Megvii (Face++) Research USA, working with Dr. Jue Wang. I worked closely with Dr. Xiaolin Li.

Check out my latest CV, research statement.

Openings: I am currently searching for highly-talented students (PhDs, Masters, and Undergraduates) to work or remotely work with me. More details click.

Links: Resume | Google Scholar | GitHub | LinkedIn | Twitter | Facebook | ResearchGate | Semantic Scholar

08/2023:Our paper "Learning Canonical Embeddings for Unsupervised Shape Correspondence with Locally Linear Transformations" has been accepted in TPAMI
08/2023:Joined Auburn University as a tenure-track assistant professor. War Eagle!
07/2023:Our paper "A Spatiotemporal Correspondence Approach to Unsupervised LiDAR Segmentation with Traffic Applications" has been accepted in ITSC
07/2023:Finished my PhD defense. Dissertation Title "Deep Learning on Spatiotemporal Point Cloud Modeling for Motion and Correspondence"
03/2023:Our paper "An Efficient Semi-Automated Scheme for LiDAR Annotation and A Benchmark Infrastructure Dataset" has been accepted in ICLR ML4IoT
04/2022:Our paper "Automated Truck Taxonomy Classification Using Deep Convolutional Neural Networks" has been accepted in IJTSR
04/2022:Received the CVPR'22 Doctoral Consortium Award
03/2022:Our paper "Machine Learning based Real-time Multi-Camera Vehicle Tracking and Travel Time Estimation" has been accepted in J. Imaging
02/2022:Our paper "Machine Learning-based Highway Truck Commodity Classification Using Logo Data" has been accepted in Appl. Sci.
12/2021:Our paper "Self-Supervised Robust Scene Flow Estimation via the Alignment of Probability Density Functions" has been accepted in AAAI
11/2021:Our paper "Learning Scene Dynamics from Point Cloud Sequences" has been accepted in IJCV
10/2021:Received the ICCV'21 Doctoral Consortium Award
10/2021:Our paper "Learning Fast and Slow: PROPEDEUTICA for Real-time Malware Detection" has been accepted in TNNLS
10/2021:Our paper "Ego-Deliver: A Large-Scale Dataset for Egocentric Video Analysis" has been accepted in ACM-MM
05/2021:Our paper "Efficient Iterative Amortized Inference for Learning Symmetric and Disentangled Multi-Object Representations" has been accepted in ICML
12/2020:Our paper "SparsePipe: Parallel Deep Learning for 3D Point Clouds" has been accepted in HiPC

Research Intern:Megvii Research US. May. 2017 - Aug. 2017
Research Assistant:MaltLab, University of Florida. Aug. 2017 - Present
NSF Center for Big Learning, University of Florida. Aug. 2016 - Jul. 2017
MMLab, The Chinese University of Hong Kong. Oct. 2015 - Jul. 2016
Multimedia Lab, SIAT, Chinese Academy of Sciences. Sept. 2014 - Jul. 2016
Summer Intern:National University of Singapore, Jul. 2014 - Sept. 2014
Project Developer:Facebook Open Academy, Sept. 2013 - May. 2014

International Award:Doctoral Consortium @ CVPR, 2022. Mentor: Prof. Fernando De la Torre
Doctoral Consortium @ ICCV, 2021. Mentor: Prof. James Hays
UFL Award:UF International Center Outstanding Achievement Awards, 2021
Gartner Group Graduate Fellowship, 2022
Gartner Group Graduate Fellowship, 2021
Gartner Group Graduate Fellowship, 2020
SIAT-CAS Award:Dean’s Award for Innovation and Creativity, 2016
SCU Award:Outstanding Graduate Award, 2015
Best Bachelor Thesis Award, 2015 (only 2 recipients in SE department)


International Patent WO2016/197381Al with Xiaoou Tang, Yu Qiao, Chen Change Loy and Weilin Huang


US Patent US10679085 with Xiaolin Li


Chinese Patent: 201610878795.5. with Yu Qiao, Tong He, Weilin Huang and Zhi Tian