About me

I am a PhD student in the Department of Computer Sciences at University of Wisconsin Madison, advised by Prof. Pedro Morgado. I obtained my Master’s degree in Electrical Engineering from Caltech, advised by Prof. Yisong Yue and Prof. Pietro Perona.

My research has been primarily focused on visual representation learning without human supervison.

News

[July 2024] Paper on Latent MIM accepted by ECCV 2024.
[July 2024] We’ve released TrackVerse, a large-scale video dataset.

Publications

	Accelerating Augmentation Invariance Pretraining Jinhong Lin,Cheng-En Wu, Yibing Wei, Pedro Morgado NeurIPS, 2024 [paper]
	Towards Latent Masked Image Modeling for Self-Supervised Visual Representation Learning Yibing Wei, Abhinav Gupta, Pedro Morgado ECCV, 2024 [paper] [code] [project page]
	Multispectral Masked Autoencoder for Remote Sensing Representation Learning Yibing Wei, Zhicheng Yang, Hang Zhou, Mei Han,Jui-Hsin Lai. NeurIPS, WiML Workshop, 2023 [doc]
	Dueling Posterior Sampling for Preference-Based Reinforcement Learning Ellen Novoseller, Yibing Wei, Yanan Sui, Yisong Yue, and Joel W Burdick UAI, 2020 [paper] [code]
	Deep Inductive Matrix Completion for Biomedical Interaction Prediction Haohan Wang*, Yibing Wei*, Mengxin Cao*, Min Xu, Wei Wu, and Eric Xing BIBM, 2019 [paper]

Projects

🐝 Honeybee Computational Visual System - A visual system to detect, track, and count honeybees in the real-world environments. [Demo] - Hierarchical crowdsourcing algorithm for dense objects annotation [Code]

Awards

• Beijing Outstanding Graduates (with honors), 2019
• National Scholarship for Outstanding Students, 2016

Teaching

@ UW-Madison
CS/ECE 766 - Computer Vision (Spring 2024)
CS 769 - Advanced Natural Language Processing (Spring 2022)
CS 220 - Data Programming 1(Fall 2021)

@ Caltech
ACM 104 - Applied Linear Algebra (Fall 2020)
IDS 158 - Fundamentals of Statistical Learning (Spring 2020)
Ph1b - Electromagnetism (Applications) (Winter 2020)