Kwang‐Ting Cheng

1. DoRA: Weight-Decomposed Low-Rank Adaptation
   2024/02/14 by Shih-Yang Liu, Liu, Shih-Yang, Chien-Yi Wang +12 · 2 voices · 133 citations
   Computer Science · #Advanced Vision and Imaging #Image Enhancement Techniques
2. LLM-FP4: 4-Bit Floating-Point Quantized Transformers
   2023/01/01 by Shih-yang Liu, Shih-Yang Liu, Zechun Liu +4 · 1 voice · 8 citations
   Computer Science · #Topic Modeling #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning
3. Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm
   2018/08/01 by Zechun Liu, Baoyuan Wu, Liu, Zechun +9 · 16 citations
   Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications
4. Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation
   2021/11/29 by Zechun Liu, Liu, Zechun, Kwang‐Ting Cheng +7 · 8 citations
   Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Image Enhancement Techniques #Machine Learning (cs.LG)
5. ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions
   2020/03/07 by Zechun Liu, Liu, Zechun, Zhiqiang Shen +5 · 6 citations
   Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning and ELM #electronic engineering #information engineering
6. Towards A Generalizable Pathology Foundation Model via Unified Knowledge Distillation
   2024/07/26 by Jiabo Ma, Ma, Jiabo, Zhengrui Guo +35 · 9 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · #AI in cancer detection #Biomedical Text Mining and Ontologies #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning in Healthcare #electronic engineering #information engineering
7. Rethinking Autoencoders for Medical Anomaly Detection from A Theoretical Perspective
   2024/03/14 by Yu Cai, Cai, Yu, Hao Chen +3 · 6 citations
   Computer Science · #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
8. Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks
   2023/02/15 by Weihang Dai, Dai, Weihang, Xiaomeng Li +3 · 4 citations
   Computer Science · #Machine Learning and Data Classification #Machine Learning in Healthcare #Anomaly Detection Techniques and Applications
9. Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization
   2019/06/05 by Koen Helwegen, James Widdicombe, Helwegen, Koen +9 · 2 citations
   Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
10. SnapGen: Taming High-Resolution Text-to-Image Models for Mobile Devices with Efficient Architectures and Training
    2024/12/12 by Dongting Hu, Hu, Dongting, Jierun Chen +32 · 7 citations
    Computer Science · #Embedded Systems Design Techniques #Advanced Malware Detection Techniques #Parallel Computing and Optimization Techniques
11. Few Shot Medical Image Segmentation with Cross Attention Transformer
    2023/03/24 by Yi Lin, Yufan Chen, Lin, Yi +5 · 3 citations
    Medicine · Engineering · #Radiomics and Machine Learning in Medical Imaging #COVID-19 diagnosis using AI #Medical Imaging and Analysis
12. FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneity
    2023/05/09 by Nannan Wu, Li Yu, Wu, Nannan +7 · 3 citations
    Computer Science · #Machine Learning and Data Classification #Imbalanced Data Classification Techniques #Privacy-Preserving Technologies in Data
13. Is Label Smoothing Truly Incompatible with Knowledge Distillation: An\n Empirical Study
    2021/04/01 by Zhiqiang Shen, Zechun Liu, Shen, Zhiqiang +9 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
14. The Lighter The Better: Rethinking Transformers in Medical Image Segmentation Through Adaptive Pruning
    2022/06/29 by Xian Lin, Lin, Xian, Li Yu +5 · 2 citations
    Computer Science · #AI in cancer detection #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Image Segmentation Techniques
15. MedIAnomaly: A comparative study of anomaly detection in medical images
    2024/04/06 by Yu Cai, Weiwen Zhang, Cai, Yu +5 · 3 citations
    Medicine · #COVID-19 diagnosis using AI
16. Bi-Real Net: Binarizing Deep Network Towards Real-Network Performance
    2018/11/04 by Zechun Liu, Liu, Zechun, Wenhan Luo +9 · 1 citation
    Computer Science · Engineering · #Advanced Vision and Imaging #Image Enhancement Techniques #Image Processing Techniques and Applications
17. Adaptive Contrast for Image Regression in Computer-Aided Disease Assessment
    2021/12/22 by Weihang Dai, Dai, Weihang, Xiaomeng Li +6 · 2 citations
    Health Professions · Medicine · #Artificial Intelligence in Healthcare #Cardiovascular Function and Risk Factors #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Radiomics and Machine Learning in Medical Imaging
18. Cyclical Self-Supervision for Semi-Supervised Ejection Fraction Prediction from Echocardiogram Videos
    2022/10/20 by Weihang Dai, Xiaomeng Li, Dai, Weihang +5 · 2 citations
    Health Professions · Medicine · #Artificial Intelligence in Healthcare #Cardiac Valve Diseases and Treatments #Cardiovascular Function and Risk Factors #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
19. Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space
    2022/01/03 by Arnav Chavan, Zhiqiang Shen, Chavan, Arnav +9 · 1 citation
    Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Advanced Vision and Imaging #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
20. Randomized Quantization: A Generic Augmentation for Data Agnostic Self-supervised Learning
    2022/12/19 by Huimin Wu, Chenyang Lei, Wu, Huimin +13 · 1 citation
    Computer Science · #Domain Adaptation and Few-Shot Learning #Advanced Neural Network Applications #Human Pose and Action Recognition
21. InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance Segmentation
    2022/06/30 by Yi Lin, Lin, Yi, Zeyu Wang +5 · 1 citation
    Computer Science · Medicine · #AI in cancer detection #Cervical Cancer and HPV Research #Computer Vision and Pattern Recognition (cs.CV) #Digital Imaging for Blood Diseases #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #electronic engineering #information engineering
22. FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image Classification
    2022/06/28 by Nannan Wu, Wu, Nannan, Li Yu +7 · 1 citation
    Computer Science · #Imbalanced Data Classification Techniques #Privacy-Preserving Technologies in Data #AI in cancer detection
23. Understanding the Tricks of Deep Learning in Medical Image Segmentation: Challenges and Future Directions
    2022/09/21 by Dong Zhang, Zhang, Dong, Yi Lin +11 · 1 citation
    Medicine · Engineering · #Radiomics and Machine Learning in Medical Imaging #Medical Imaging and Analysis #COVID-19 diagnosis using AI
24. BoNuS: Boundary Mining for Nuclei Segmentation with Partial Point Labels
    2024/01/15 by Yi Lin, Zeyu Wang, Lin, Yi +7 · 1 citation
    Computer Science · Engineering · Medicine · #AI in cancer detection #Medical Imaging and Analysis #Radiomics and Machine Learning in Medical Imaging
25. Iterative Online Image Synthesis via Diffusion Model for Imbalanced Classification
    2024/03/13 by Shuhan Li, Yi Lin, Li, Shuhan +5 · 1 citation
    Computer Science · #Advanced Data Compression Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Image and Signal Denoising Methods
26. SAMCT: Segment Any CT Allowing Labor-Free Task-Indicator Prompts
    2024/03/20 by Xian Lin, Lin, Xian, Yangyang Xiang +9 · 1 citation
    Medicine · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Radiation Dose and Imaging
27. FedMLP: Federated Multi-Label Medical Image Classification under Task Heterogeneity
    2024/06/27 by Zhaobin Sun, Nannan Wu, Sun, Zhaobin +11 · 1 citation
    Computer Science · #Text and Document Classification Technologies
28. FedIA: Federated Medical Image Segmentation with Heterogeneous Annotation Completeness
    2024/07/02 by Yangyang Xiang, Xiang, Yangyang, Nannan Wu +9 · 1 citation
    Engineering · Medicine · Computer Science · #Medical Imaging and Analysis #Radiomics and Machine Learning in Medical Imaging #AI in cancer detection
29. Prompt-Guided Foundation Model Tuning for Pathology Image Classification
    2024/03/19 by Yi Lin, Zhengjie Zhu, Lin, Yi +6 · 1 citation
    Computer Science · #Anomaly Detection Techniques and Applications #Image Retrieval and Classification Techniques #Machine Learning and Data Classification #cs.CV
30. EoRA: Fine-tuning-free Compensation for Compressed LLM with Eigenspace Low-Rank Approximation
    2024/10/28 by Shih-Yang Liu, Liu, Shih-Yang, Nai Chit Fung +20 · 1 citation
    Computer Science · Engineering · #Advanced Image Processing Techniques #Artificial Intelligence (cs.AI) #Blind Source Separation Techniques #Computation and Language (cs.CL) #FOS: Computer and information sciences #Sparse and Compressive Sensing Techniques