I am currently a Senior Applied Scientist in Microsoft. I received the Ph.D. degree in Computer Science from Washington State University in 2020, advised by Prof.Shuiwang Ji.
Ph.D., Computer Science, Washington State University, Aug 2016 - May 2020
M.S., Computer Applied Technology, Dalian University of Technology, Sep 2013 - Jun 2016
B.S., Software Engineering, Dalian University of Technology, September 2009 - June 2013
Machine learning
Data mining
Computational biology
Computational neuroscience
Lei Cai, Zhengyang Wang, Hongyang Gao, Dinggang Shen, and Shuiwang Ji
Deep Adversarial Learning for Multi-Modality Missing Data Completion
The 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD),2018
[paper]
[code]
Yongjun Chen, Hongyang Gao, Lei Cai, Min Shi, Dinggang Shen, and Shuiwang Ji
Voxel Deconvolutional Networks for 3D Brain Image Labeling
The 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD),2018
[paper]
[code]
Lei Cai, Hongyang Gao and Shuiwang Ji
Multi-Stage Variational Auto-Encoders for Coarse-to-Fine Image Generation
SDM 2019
[paper]
[code]
Lei Cai and Shuiwang Ji
An Efficient Policy Gradient Method for Conditional Dialogue Generation
ICDM 2019
Jun Li, Yongjun Chen, Lei Cai, Ian Davidson, Shuiwang Ji
Dense Transformer Networks for Brain Electron Microscopy Image Segmentation
IJCAI 2019
Lei Cai, Shuiwang Ji
A Multi-Scale Approach for Graph Link Prediction
AAAI 2020
Hongyang Gao, Lei Cai, Shuiwang Ji
Adaptive Convolutional ReLUs
AAAI 2020
Yi Liu, Hao Yuan,Lei Cai, Shuiwang Ji
Deep Learning of High-Order Interactions for Protein Interface Prediction
The 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2020
Lei Cai, Zhengzhang Chen, Chen Luo, Jiaping Gui, Jingchao Ni, Ding Li, Haifeng Chen
Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs
International Conference on Information and Knowledge Management (CIKM), 2021
Lei Cai, Jundong Li, Jie Wang, and Shuiwang Ji
Line Graph Neural Networks for Link Prediction,
IEEE Transactions on Pattern Analysis and Machine Intelligence
Lei Cai, Zhengyang Wang, Rob Kulathinal, Sudhir Kumar, and Shuiwang Ji
Deep Low-Shot Learning for Biological Image Classification and Visualization from Limited Training Samples,
IEEE Transactions on Neural Networks and Learning Systems
Hao Yuan, Lei Cai, Xia Hu, and Shuiwang Ji
Interpreting image classifiers by generating discrete masks,
IEEE Transactions on Pattern Analysis and Machine Intelligence
Lin Feng, Lei Cai, Yang Liu and Shenglan Liu
Multi-view spectral clustering via robust local subspace learning, Soft Computing
[paper]
Lei Cai, Bian Wu, and Shuiwang Ji
Neuronal Activities in the Mouse Visual Cortex Predict Patterns of Sensory Stimuli,
Neuroinformatics
[paper]
[code]
Hao Yuan, Lei Cai, Zhengyang Wang, Xia Hu, Shaoting Zhang, and Shuiwang Ji
Computational Modeling of Cellular Structures Using Conditional Deep Generative Networks,
Bioinformatics (2018)
[paper]
[code]
Hongyang Gao, Zhengyang Wang, Lei Cai, and Shuiwang Ji
ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
KDD 2020
KDD 2021
NeurIPS 2020
NeurIPS 2021
ICLR 2020
ICDM 2019
The 34rd AAAI Conference on Artificial Intelligence (AAAI), 2020
The 33rd AAAI Conference on Artificial Intelligence (AAAI), 2019
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2019
IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
IEEE Intelligent Transportation Systems Transactions
BMC Bioinformatics
Introduction to Machine Learning, Washington State University, Spring 2017