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Chaofan Tao
ORCID
Publication Activity (10 Years)
Years Active: 2019-2024
Publications (10 Years): 25
Top Topics
Invariant Features
Digital Mammography
Lightweight
Deep Learning
Top Venues
CoRR
EMNLP
ACL (1)
ACL (Findings)
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Publications
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Chaofan Tao
,
Rui Lin
,
Quan Chen
,
Zhaoyang Zhang
,
Ping Luo
,
Ngai Wong
FAT: Frequency-Aware Transformation for Bridging Full-Precision and Low-Precision Deep Representations.
IEEE Trans. Neural Networks Learn. Syst.
35 (2) (2024)
Jiajun Zhou
,
Jiajun Wu
,
Yizhao Gao
,
Yuhao Ding
,
Chaofan Tao
,
Boyu Li
,
Fengbin Tu
,
Kwang-Ting Cheng
,
Hayden Kwok-Hay So
,
Ngai Wong
DyBit: Dynamic Bit-Precision Numbers for Efficient Quantized Neural Network Inference.
CoRR
(2023)
Dachuan Shi
,
Chaofan Tao
,
Ying Jin
,
Zhendong Yang
,
Chun Yuan
,
Jiaqi Wang
UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers.
CoRR
(2023)
Chaofan Tao
,
Lu Hou
,
Haoli Bai
,
Jiansheng Wei
,
Xin Jiang
,
Qun Liu
,
Ping Luo
,
Ngai Wong
Structured Pruning for Efficient Generative Pre-trained Language Models.
ACL (Findings)
(2023)
Dachuan Shi
,
Chaofan Tao
,
Anyi Rao
,
Zhendong Yang
,
Chun Yuan
,
Jiaqi Wang
CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers.
CoRR
(2023)
Binxiao Huang
,
Rui Lin
,
Chaofan Tao
,
Ngai Wong
A Spectral Perspective towards Understanding and Improving Adversarial Robustness.
CoRR
(2023)
Dachuan Shi
,
Chaofan Tao
,
Ying Jin
,
Zhendong Yang
,
Chun Yuan
,
Jiaqi Wang
UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers.
ICML
(2023)
Binxiao Huang
,
Chaofan Tao
,
Rui Lin
,
Ngai Wong
What Do Adversarially trained Neural Networks Focus: A Fourier Domain-based Study.
CoRR
(2022)
Chaofan Tao
,
Ngai Wong
ODG-Q: Robust Quantization via Online Domain Generalization.
CoRR
(2022)
Chaofan Tao
,
Ngai Wong
ODG-Q: Robust Quantization via Online Domain Generalization.
ICPR
(2022)
Dongsheng Chen
,
Chaofan Tao
,
Lu Hou
,
Lifeng Shang
,
Xin Jiang
,
Qun Liu
LiteVL: Efficient Video-Language Learning with Enhanced Spatial-Temporal Modeling.
EMNLP
(2022)
Chaofan Tao
,
Lu Hou
,
Wei Zhang
,
Lifeng Shang
,
Xin Jiang
,
Qun Liu
,
Ping Luo
,
Ngai Wong
Compression of Generative Pre-trained Language Models via Quantization.
CoRR
(2022)
Dongsheng Chen
,
Chaofan Tao
,
Lu Hou
,
Lifeng Shang
,
Xin Jiang
,
Qun Liu
LiteVL: Efficient Video-Language Learning with Enhanced Spatial-Temporal Modeling.
CoRR
(2022)
Chaofan Tao
,
Lu Hou
,
Wei Zhang
,
Lifeng Shang
,
Xin Jiang
,
Qun Liu
,
Ping Luo
,
Ngai Wong
Compression of Generative Pre-trained Language Models via Quantization.
ACL (1)
(2022)
Binxiao Huang
,
Chaofan Tao
,
Rui Lin
,
Ngai Wong
Frequency Regularization for Improving Adversarial Robustness.
CoRR
(2022)
Yuan Ren
,
Rui Lin
,
Jie Ran
,
Chang Liu
,
Chaofan Tao
,
Zhongrui Wang
,
Can Li
,
Ngai Wong
BATMANN: A Binarized-All-Through Memory-Augmented Neural Network for Efficient In-Memory Computing.
ASICON
(2021)
Alina Jade Barnett
,
Fides Regina Schwartz
,
Chaofan Tao
,
Chaofan Chen
,
Yinhao Ren
,
Joseph Y. Lo
,
Cynthia Rudin
Interpretable Mammographic Image Classification using Cased-Based Reasoning and Deep Learning.
CoRR
(2021)
Chaofan Tao
,
Rui Lin
,
Quan Chen
,
Zhaoyang Zhang
,
Ping Luo
,
Ngai Wong
FAT: Learning Low-Bitwidth Parametric Representation via Frequency-Aware Transformation.
CoRR
(2021)
Cong Chen
,
Chaofan Tao
,
Ngai Wong
LiteGT: Efficient and Lightweight Graph Transformers.
CIKM
(2021)
Alina Jade Barnett
,
Fides Regina Schwartz
,
Chaofan Tao
,
Chaofan Chen
,
Yinhao Ren
,
Joseph Y. Lo
,
Cynthia Rudin
A case-based interpretable deep learning model for classification of mass lesions in digital mammography.
Nat. Mach. Intell.
3 (12) (2021)
Alina Jade Barnett
,
Fides Regina Schwartz
,
Chaofan Tao
,
Chaofan Chen
,
Yinhao Ren
,
Joseph Y. Lo
,
Cynthia Rudin
IAIA-BL: A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography.
CoRR
(2021)
Chaofan Tao
,
Qinhong Jiang
,
Lixin Duan
,
Ping Luo
Dynamic and Static Context-Aware LSTM for Multi-agent Motion Prediction.
ECCV (21)
(2020)
Chaofan Tao
,
Qinhong Jiang
,
Lixin Duan
,
Ping Luo
Dynamic and Static Context-aware LSTM for Multi-agent Motion Prediction.
CoRR
(2020)
Chaofan Tao
,
Fengmao Lv
,
Lixin Duan
,
Min Wu
MiniMax Entropy Network: Learning Category-Invariant Features for Domain Adaptation.
CoRR
(2019)
Yi Bin
,
Yang Yang
,
Chaofan Tao
,
Zi Huang
,
Jingjing Li
,
Heng Tao Shen
MR-NET: Exploiting Mutual Relation for Visual Relationship Detection.
AAAI
(2019)