I am a postdoc at UC Berkeley/ICSI working with Prof. Stella Yu. I received my Ph.D. at UC San Diego.
Contact: yunhui, at sign, berkeley dot edu
12/2020 Senior PC for IJCAI-21
09/2020 NeurIPS paper on lifelong learning
My research interests include: machine learning and deep learning. My goal is to design efficient machine learning algorithms for practical applications.
MAT: Processing In-Memory Acceleration for Long-Sequence Attention
Improved Schemes for Episodic Memory-based Lifelong Learning
A Broader Study of Cross-Domain Few-Shot Learning
AdaFilter: Adaptive Filter Fine-tuning for Deep Transfer Learning
SpotTune: Transfer Learning through Adaptive Fine-tuning
Depthwise Convolution is All You Need for Learning Multiple Visual Domains.
Pushing Down Machine Learning Inference to the Edge in Heterogeneous Internet of Things Applications
A Survey on Methods and Theories of Quantized Neural Networks
Understanding Users’ Budgets for Recommendation with Hierarchical Poisson Factorization
Incorporating Collaborative Ranking Algorithm with Weighted Recursive Autoencoder for Item Recommendation
AAAI workshop 2017
Collaborative Expert Recommendation for Community-Based Question Answering
LBMF: Log-Bilinear Matrix Factorization for Recommender Systems
Constrained Preference Embedding for Item Recommendation
CroRank: Cross Domain Personalized Transfer Ranking for Collaborative Filtering
ICDM workshop 2015
Recommendation Algorithms for Optimizing Hit Rate, User Satisfaction and Website Revenue