Tai Sing Lee

Tai Sing Lee

Carnegie Mellon University

H-index: 30

North America-United States

About Tai Sing Lee

Tai Sing Lee, With an exceptional h-index of 30 and a recent h-index of 19 (since 2020), a distinguished researcher at Carnegie Mellon University, specializes in the field of Computational Neuroscience, Computer Vision.

His recent articles reflect a diverse array of research interests and contributions to the field:

Emergence of Shape Bias in Convolutional Neural Networks through Activation Sparsity

Does resistance to Style-Transfer equal Shape Bias? Evaluating Shape Bias by Distorted Shape

Cue-Invariant Geometric Structure of the Population Codes in Macaque V1 and V2

Familiarity training enhance straightening of neural trajectory for video prediction

Prototype memory and attention mechanisms for few shot image generation

Complexity and diversity in sparse code priors improve receptive field characterization of Macaque V1 neurons

Recurrent networks improve neural response prediction and provide insights into underlying cortical circuits

Development of natural scene representation in primary visual cortex requires early postnatal experience

Tai Sing Lee Information

University

Position

Professor of Computer Science

Citations(all)

11236

Citations(since 2020)

2173

Cited By

10063

hIndex(all)

30

hIndex(since 2020)

19

i10Index(all)

53

i10Index(since 2020)

29

Email

University Profile Page

Google Scholar

Tai Sing Lee Skills & Research Interests

Computational Neuroscience

Computer Vision

Top articles of Tai Sing Lee

Title

Journal

Author(s)

Publication Date

Emergence of Shape Bias in Convolutional Neural Networks through Activation Sparsity

Advances in Neural Information Processing Systems

Tianqin Li

Ziqi Wen

Yangfan Li

Tai Sing Lee

2024/2/13

Does resistance to Style-Transfer equal Shape Bias? Evaluating Shape Bias by Distorted Shape

arXiv preprint arXiv:2310.07555

Ziqi Wen

Tianqin Li

Tai Sing Lee

2023/10/11

Cue-Invariant Geometric Structure of the Population Codes in Macaque V1 and V2

bioRxiv

Corentin Massot

Xiaoqi Zhang

Zitong Wang

Harold Rockwell

George Papandreou

...

2023

Familiarity training enhance straightening of neural trajectory for video prediction

bioRxiv

Wentao Qiu

Summer Huang

Mirudhula Mukundan

Tai Sing Lee

2023

Prototype memory and attention mechanisms for few shot image generation

Proceedings of the Eleventh International Conference on Learning Representations

Tianqin Li

Zijie Li

Harold Rockwell

Amir Farimani

Tai Sing Lee

2022/1

Complexity and diversity in sparse code priors improve receptive field characterization of Macaque V1 neurons

PLoS computational biology

Ziniu Wu

Harold Rockwell

Yimeng Zhang

Shiming Tang

Tai Sing Lee

2021/10/25

Recurrent networks improve neural response prediction and provide insights into underlying cortical circuits

arXiv preprint arXiv:2110.00825

Yimeng Zhang

Harold Rockwell

Sicheng Dai

Ge Huang

Stephen Tsou

...

2021/10/2

Development of natural scene representation in primary visual cortex requires early postnatal experience

Current Biology

Nina N Kowalewski

Janne Kauttonen

Patricia L Stan

Brian B Jeon

Thomas Fuchs

...

2021/1/25

Surfgen: Adversarial 3d shape synthesis with explicit surface discriminators

Andrew Luo

Tianqin Li

Wen-Hao Zhang

Tai Sing Lee

2021

A spiking neural circuit model for learning multi-sensory integration

bioRxiv

Deying Song

Xueyan Niu

Wen-Hao Zhang

Tai Sing Lee

2020/11/27

Distributed sampling-based Bayesian inference in coupled neural circuits

bioRxiv

Wen-Hao Zhang

Tai Sing Lee

Brent Doiron

Si Wu

2020/7/22

See List of Professors in Tai Sing Lee University(Carnegie Mellon University)