Cheng, Kwang-Ting

Fast Human Detection Using a Cascade of Histograms of Oriented Gradients

Zhu, Q., Yeh, M.-C., Cheng, K.-T., & Avidan, S. (2006) · 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2 (CVPR'06)

Video Surveillance and Tracking MethodsHuman Pose and Action Recognition

Cited by 1,399

Biocompatible and totally disintegrable semiconducting polymer for ultrathin and ultralightweight transient electronics

Lei, T., Guan, M., Liu, J., Lin, H.-C., Pfattner, R., Shaw, L., McGuire, A. F., Huang, T.-C., Shao, L., Cheng, K.-T., et al. (2017) · Proceedings of the National Academy of Sciences

Organic Electronics and Photovoltaicsbiodegradable polymer synthesis and properties

Cited by 464

Variation-Aware Federated Learning With Multi-Source Decentralized Medical Image Data

Yan, Z., Wicaksana, J., Wang, Z., Yang, X., & Cheng, K.-T. (2021) · IEEE Journal of Biomedical and Health Informatics

Privacy-Preserving Technologies in DataArtificial Intelligence in Healthcare and Education

Cited by 137

Using mobile GPU for general-purpose computing – a case study of face recognition on smartphones

Cheng, K.-T., & Wang, Y.-C. (2011) · Proceedings of 2011 International Symposium on VLSI Design, Automation and Test

Parallel Computing and Optimization TechniquesEmbedded Systems Design Techniques

Cited by 91

Echo state graph neural networks with analogue random resistive memory arrays

Wang, S., Li, Y., Wang, D., Zhang, W., Chen, X., Dong, D., Wang, S., Zhang, X., Lin, P., Gallicchio, C., et al. (2023) · Nature Machine Intelligence

Advanced Memory and Neural ComputingNeural Networks and Reservoir Computing

Cited by 84

DoRA: Weight-Decomposed Low-Rank Adaptation

Liu, S.-Y., Wang, C.-Y., Yin, H., Molchanov, P., Wang, Y.-C. F., Cheng, K.-T., & Chen, M.-H. (2024) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 74

Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space

Chavan, A., Shen, Z., Liu, Z., Liu, Z., Cheng, K.-T., & Xing, E. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 72

LLM-FP4: 4-Bit Floating-Point Quantized Transformers

Liu, S.-Y., Liu, Z., Huang, X., Dong, P., & Cheng, K.-T. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Advanced Neural Network ApplicationsNumerical Methods and Algorithms

Cited by 50

Oscillation-free Quantization for Low-bit Vision Transformers

Liu, S.-Y., Liu, Z., & Cheng, K.-T. (2023) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 8

Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precision

Huang, X., Shen, Z., Dong, P., & Cheng, K.-T. (2023) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 4