About Me
News
02/2022 Three papers accepted at CVPR 2022.
12/2020 Senior PC for IJCAI-21
09/2020 NeurIPS paper on lifelong learning
Research
My research interests include: machine learning and deep learning. In particular, I am interested in transfer learning, continual learning, few-shot learning and multi-task learning. My goal is to design efficient machine learning algorithms for practical applications.
Publications
2022
Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers
Tsung-Wei Ke, Jyh-Jing Hwang, Stella Yu, Xudong Wang, Yunhui Guo
CVPR 2022
CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data
Yunhui Guo, Haoran Guo, Stella Yu
CVPR 2022
Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers
Yunhui Guo, Xudong Wang, Yubei Chen, Stella Yu
CVPR 2022
2021
AdaLN: A Vision Transformer for Multi-domain Learning and Extraction of Building Information
for Natural Hazard Analysis
Yunhui Guo, Chaofeng Wang, Stella X. Yu, Frank McKenna, Kincho H. Law
Under review
Improve Image-based Skin Cancer Diagnosis with Generative Self-Supervised Learning
Zhihang Ren, Yunhui Guo, Stella X. Yu, David Whitney
CHASE 2021
MAT: Processing In-Memory Acceleration for Long-Sequence Attention
Minxuan Zhou, Yunhui Guo, Weihong Xu, Bin Li, Kevin W. Eliceiri, Tajana Rosing
DAC 2021
2020
Improved Schemes for Episodic Memory-based Lifelong Learning
Yunhui Guo*, Mingrui Liu*, Tianbao Yang, Tajana Rosing. (*equal contribution)
NeurIPS 2020 (Spotlight, top 4% submissions)
A Broader Study of Cross-Domain Few-Shot Learning
Yunhui Guo, Noel C. Codella, Leonid Karlinsky, James V. Codella, John R. Smith, Kate Saenko, Tajana Rosing, Rogerio Feris
ECCV 2020
AdaFilter: Adaptive Filter Fine-tuning for Deep Transfer Learning
Yunhui Guo, Yandong Li, Liqiang Wang, Tajana Rosing
AAAI 2020
2019
SpotTune: Transfer Learning through Adaptive Fine-tuning
Yunhui Guo, Honghui Shi, Abhishek Kumar, Kristen Grauman, Tajana Rosing, Rogério Schmidt Feris
CVPR 2019
Depthwise Convolution is All You Need for Learning Multiple Visual Domains.
Yunhui Guo*, Yandong Li*, Liqiang Wang, Tajana Rosing
*Equal Contribution
AAAI 2019
Hierarchical and Distributed Machine Learning Inference Beyond the Edge
Anthony Thomas, Yunhui Guo, Yeseong Kim, Baris Aksanli, Arun Kumar, Tajana S Rosing
ICNSC 2019
2018
A Survey on Methods and Theories of Quantized Neural Networks
Yunhui Guo
2017
Understanding Users’ Budgets for Recommendation with Hierarchical Poisson Factorization
Yunhui Guo, Congfu Xu, Hanzhang Song, Xin Wang
IJCAI 2017
Incorporating Collaborative Ranking Algorithm with Weighted Recursive Autoencoder for Item Recommendation
Hanzhang Song, Yunhui Guo, Congfu Xu
AAAI workshop 2017
2016
Collaborative Expert Recommendation for Community-Based Question Answering
Congfu Xu, Xin Wang, Yunhui Guo
ECML/PKDD 2016
LBMF: Log-Bilinear Matrix Factorization for Recommender Systems
Yunhui Guo, Xin Wang, Congfu Xu
PAKDD 2016
Constrained Preference Embedding for Item Recommendation
Xin Wang, CongFu Xu, Yunhui Guo, Hui Qian
IJCAI 2016
2015
CroRank: Cross Domain Personalized Transfer Ranking for Collaborative Filtering
Yunhui Guo, Xin Wang, Congfu Xu
ICDM workshop 2015
Recommendation Algorithms for Optimizing Hit Rate, User Satisfaction and Website Revenue
Xin Wang, Yunhui Guo, Congfu Xu
IJCAI 2015
