7
Publications
179
Citations
7
H-Index
2022
Active since
Affiliations
University of California, Berkeley(Current)
Shengbang Tong is an author at University of California, Berkeley specializing in machine vision, computer vision, and deep learning.
Top concepts
EngineeringDeep LearningImage AnalysisMachine VisionComputer VisionComputer ScienceMachine LearningPattern RecognitionData ScienceSparse Modeling
Publications per year
2022–2024
7
7
Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs
Shengbang Tong, Zhuang Liu, Yuexiang Zhai et al. · 2024 · 78 citations
White-Box Transformers via Sparse Rate Reduction
Yaodong Yu, Sam Buchanan, Druv Pai et al. · arXiv (Cornell University) · 2023 · 23 citations · Full text
Convolutional Neural Network, Engineering, Machine Learning +21
Revisiting Sparse Convolutional Model for Visual Recognition
Xili Dai, Mingyang Li, Pengyuan Zhai et al. · arXiv (Cornell University) · 2022 · 21 citations · Full text
Convolutional Neural Network, Engineering, Machine Learning +19
CTRL: Closed-Loop Transcription to an LDR via Minimaxing Rate Reduction
Xili Dai, Shengbang Tong, Mingyang Li et al. · Entropy · 2022 · 18 citations · Full text
Investigating the Catastrophic Forgetting in Multimodal Large Language Models
Yuexiang Zhai, Shengbang Tong, Li Xiao et al. · arXiv (Cornell University) · 2023 · 16 citations · Full text
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