I am an assistant professor at Department of Computer Science and Software Engineering, Auburn University. I received my Ph.D. in Computer Science at Department of Computer & Information Science & Engineering, University of Florida. 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).

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.

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

04/2024:Our paper "An Efficient Semi-Automated Scheme for Infrastructure LiDAR Annotation" has been accepted in T-ITS
04/2024:Our paper "BadFusion: 2D-Oriented Backdoor Attacks against 3D Object Detection" has been accepted in IJCAI
03/2024:Our paper "A Holistic Framework Towards Vision-based Traffic Signal Control with Microscopic Simulation" is publicly available arxiv
02/2024:Congratuations to Isaiah Gallardo for being selected as 2024 Wolotsz Graduate Student Fellow.
12/2023:Invited to serve as Associate Editor in IEEE Transactions on Neural Networks and Learning Systems (TNNLS).
12/2023:Congratuations to Isaiah Gallardo. His research proposal to the AAAI-24 Undergraduate Consortium has been accepted (with awarded travel funding)
11/2023:My PhD dissertation is publicly available dissertation
11/2023:Our paper "BadFusion: 2D-Oriented Backdoor Attacks against 3D Object Detection" has been accepted in Backdoors in Deep Learning @ NeurIPS 2023
10/2023:Our paper "Towards Improving the Generation Quality of Autoregressive Slot VAEs" has been accepted in Neural Computation
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