Greetings, welcome to my website!

I am an Associate Professor at the School of Computer Science and Engineering, Southeast University (SEU), China, and I am also a member of the PALM lab. Before joining SEU, I was a post-doctoral fellow at Monash University in 2022. I received the Ph.D. degree from the Australian National University and DATA61-CSIRO in 2022, under the supervision of Prof. Lars Petersson and Prof. Mehrtash Harandi, and the M.E. degree from the Australian National University in 2017, under the supervision of Prof. Zhiyong Sun and Dr. Qingchen Liu. I obtained my B.E. degree from Hangzhou Dianzi University in 2014. My research interests include computer vision and machine learning. My Erdos path reads as Pengfei Fang -> Mehrtash Harandi -> Richard Hartley -> Marc Kilgour -> Peter C. Fishburn -> Paul Erdos.

I am always looking for good undergraduate and master students, who are interested in working on challenging machine learning and computer vision research problems with me. I encourage students to contact me, but you must have good mathematical and programming skills. When contacting me, please include a copy of your academic transcripts and research proposal (if you have:-)).
欢迎2024级保研生与我邮件联系。同时接收本科生进行科研训练！（请申请同学在邮件中附上简历）

[2023.05.02] Our paper on Uni-Encoder for Dialogue systems is accepted to Findings of ACL 2023. Congratulations to Chiyu and Hongliang.
[2023.04.21] We have uploaded our survey paper for the hyperbolic geometry in computer vision to arxiv, here is the link.
[2023.04.20] Our paper on hyperbolic kernels is accepted to IJCAI'23. Congratulations to Meimei.
[2023.03.20] My homepage launched.

Attention in Attention Networks for Person Retrieval

Pengfei Fang, Jieming Zhou, Soumava Kumar Roy, Pan Ji, Lars Petersson and Mehrtash Harandi
TPAMI 2022 [Paper]

Connecting the Dots in Self-supervised Learning: A Brief Survey for Beginners

Pengfei Fang, Xian Li, Yang Yan, Shuai Zhang, Qiyue Kang, Xiaofei Li and Zhenzhong Lan
JCST 2022 [Paper]

Kernel Methods in Hyperbolic Spaces

Pengfei Fang, Mehrtash Harandi and Lars Petersson
ICCV 2021 [Paper]

Set Augmented Triplet Loss for Video Person Re-Identification

Pengfei Fang, Pan Ji, Lars Petersson and Mehrtash Harandi
WACV 2021 [Paper]

Channel Recurrent Attention Networks for Video Pedestrian Retrieval

Pengfei Fang, Pan Ji, Jieming Zhou, Lars Petersson and Mehrtash Harandi
ACCV 2020 [Paper]

Bilinear Attention Networks for Person Retrieval

Pengfei Fang, Jieming Zhou, Soumava Kumar Roy, Lars Petersson and Mehrtash Harandi
ICCV 2019 [Paper]

Learning Instance and Task-Aware Dynamic Kernels for Few-Shot Learning

Rongkai Ma, Pengfei Fang*, Gil Avraham, Yan Zuo, Tianyu Zhu, Tom Drummond and Mehrtash Harandi
ECCV 2022 [Paper] (*: corresponding author)

Adaptive Poincaré Point to Set Distance for Few-Shot Classification

Rongkai Ma, Pengfei Fang*, Tom Drummond and Mehrtash Harandi
AAAI 2022 [Paper] (*: corresponding author)

Improving Visual Embeddings using Attention and Geometry Constraints

Pengfei Fang
Ph.D. thesis, The Australian National University, 2022 [Paper]

Distributed Cooperative Control for Multi-Agent Systems: An Edge-Event Based Approach

Pengfei Fang
Master thesis, The Australian National University, 2017 [Paper]

Associate Professor at School of Computer Science and Engineering, Southeast University. 2023.01 - Current

Research Fellow at Department of Data Science and Artificial Intelligence, Monash University. 2022.06 - 2022.12
Supervisors: Prof. Dinh Phung, Prof. Mehrtash Harandi and Prof. Trung Le

Visiting Scholar at School of Engineering, Westlake University. 2021.09 - 2022.05
Host: Prof. Zhenzhong Lan

Visiting Scholar at Department of Electrical and Computer Systems Engineering, Monash University. 2020.01 - 2020.02
Host: Prof. Mehrtash Harandi

Advanced Engineering Data Analytics, Australian National University, 2019

Program Committee

ACM MM 2023, NeurIPS 2023, IJCAI 2023, CVPR 2023, ACCV 2022, NeurIPS 2022, ACM MM 2022, ECCV 2022, ICML 2022, CVPR 2022, WACV 2021, WACV 2020...

Journal Reviewer

TPAMI, IJCV, TIP, TNNLS, TMM, IVC, IET-Computer Vision...