Cheng, Kwang-Ting
- DoRA: Weight-Decomposed Low-Rank Adaptation
2024/02/14 by Shih-Yang Liu, Chien-Yi Wang, Liu, Shih-Yang +12 · 2 voices · 134 citations
Computer Science · #Advanced Vision and Imaging #Image Enhancement Techniques
- Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm
2018/08/01 by Zechun Liu, Liu, Zechun, Baoyuan Wu +9 · 16 citations
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications
- 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)
- ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions
2020/03/07 by Zechun Liu, Zhiqiang Shen, Liu, Zechun +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
- Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning
2021/02/08 by Shen, Zhiqiang, Liu, Zechun, Qin, Jie +2 · 6 citations
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- MMBench: Benchmarking End-to-End Multi-modal DNNs and Understanding Their Hardware-Software Implications
2022/12/02 by Xu, Cheng, Hou, Xiaofeng, Liu, Jiacheng +9 · 6 citations
#FOS: Computer and information sciences #Performance (cs.PF)
- 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
- Rethinking Autoencoders for Medical Anomaly Detection from A Theoretical Perspective
2024/03/14 by Yu Cai, Hao Chen, Cai, Yu +3 · 7 citations
Computer Science · #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Vessel-Promoted OCT to OCTA Image Translation by Heuristic Contextual Constraints
2023/03/13 by Li, Shuhan, Zhang, Dong, Li, Xiaomeng +4 · 4 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #electronic engineering #information engineering
- MedIAnomaly: A comparative study of anomaly detection in medical images
2024/04/06 by Yu Cai, Weiwen Zhang, Cai, Yu +5 · 5 citations
Medicine · #COVID-19 diagnosis using AI
- SDQ: Stochastic Differentiable Quantization with Mixed Precision
2022/06/09 by Huang, Xijie, Shen, Zhiqiang, Li, Shichao +5 · 3 citations
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks
2023/02/15 by Weihang Dai, Xiaomeng Li, Dai, Weihang +3 · 4 citations
Computer Science · #Machine Learning and Data Classification #Machine Learning in Healthcare #Anomaly Detection Techniques and Applications
- Fewer is More: Boosting LLM Reasoning with Reinforced Context Pruning
2023/12/14 by Huang, Xijie, Zhang, Li Lyna, Cheng, Kwang-Ting +2 · 4 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
- Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization
2019/06/05 by Koen Helwegen, Helwegen, Koen, James Widdicombe +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)
- 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
- Few Shot Medical Image Segmentation with Cross Attention Transformer
2023/03/24 by Yi Lin, Lin, Yi, Yufan Chen +5 · 3 citations
Medicine · Engineering · #Radiomics and Machine Learning in Medical Imaging #COVID-19 diagnosis using AI #Medical Imaging and Analysis
- FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneity
2023/05/09 by Nannan Wu, Wu, Nannan, Li Yu +7 · 3 citations
Computer Science · #Machine Learning and Data Classification #Imbalanced Data Classification Techniques #Privacy-Preserving Technologies in Data
- Binarizing MobileNet via Evolution-based Searching
2020/05/13 by Phan, Hai, Liu, Zechun, Huynh, Dang +3 · 2 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
- Is Label Smoothing Truly Incompatible with Knowledge Distillation: An\n Empirical Study
2021/04/01 by Zhiqiang Shen, Shen, Zhiqiang, Zechun Liu +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
- The Lighter The Better: Rethinking Transformers in Medical Image Segmentation Through Adaptive Pruning
2022/06/29 by Xian Lin, Li Yu, Lin, Xian +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
- Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precision
2023/07/01 by Xijie Huang, Zhiqiang Shen, Huang, Xijie +3 · 2 citations
Computer Science · Engineering · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #CCD and CMOS Imaging Sensors #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Infrared Target Detection Methodologies #Machine Learning (cs.LG)
- Bi-Real Net: Binarizing Deep Network Towards Real-Network Performance
2018/11/04 by Zechun Liu, Wenhan Luo, Liu, Zechun +9 · 1 citation
Computer Science · Engineering · #Advanced Vision and Imaging #Image Enhancement Techniques #Image Processing Techniques and Applications
- 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
- Facial age estimation by deep residual decision making
2019/08/28 by Li, Shichao, Cheng, Kwang-Ting · 1 citation
#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) #electronic engineering #information engineering
- How Do Adam and Training Strategies Help BNNs Optimization?
2021/06/21 by Liu, Zechun, Shen, Zhiqiang, Li, Shichao +3 · 1 citation
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- BATFormer: Towards Boundary-Aware Lightweight Transformer for Efficient Medical Image Segmentation
2022/06/29 by Lin, Xian, Yu, Li, Cheng, Kwang-Ting +1 · 1 citation
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- 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
- Data-Free Neural Architecture Search via Recursive Label Calibration
2021/12/03 by Liu, Zechun, Shen, Zhiqiang, Long, Yun +3 · 1 citation
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space
2022/01/03 by Arnav Chavan, Chavan, Arnav, Zhiqiang Shen +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)
- 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
- Relation-R1: Progressively Cognitive Chain-of-Thought Guided Reinforcement Learning for Unified Relation Comprehension
2025/04/20 by Li, Lin, Chen, Wei, Li, Jiahui +2 · 4 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- 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
- FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation
2022/05/04 by Wicaksana, Jeffry, Yan, Zengqiang, Zhang, Dong +4 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions
2023/04/13 by Luo, Luyang, Wang, Xi, Lin, Yi +7 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #electronic engineering #information engineering
- 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
- CMOSE: Comprehensive Multi-Modality Online Student Engagement Dataset with High-Quality Labels
2023/12/14 by Wu, Chi-hsuan, Liu, Shih-yang, Huang, Xijie +6 · 1 citation
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- BoNuS: Boundary Mining for Nuclei Segmentation with Partial Point Labels
2024/01/15 by Yi Lin, Lin, Yi, Zeyu Wang +7 · 1 citation
Computer Science · Engineering · Medicine · #AI in cancer detection #Medical Imaging and Analysis #Radiomics and Machine Learning in Medical Imaging
- Efficient and accurate neural field reconstruction using resistive memory
2024/04/15 by Yu, Yifei, Wang, Shaocong, Zhang, Woyu +16 · 1 citation
#Artificial Intelligence (cs.AI) #Emerging Technologies (cs.ET) #FOS: Computer and information sciences #Hardware Architecture (cs.AR)
- 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
- SAMCT: Segment Any CT Allowing Labor-Free Task-Indicator Prompts
2024/03/20 by Xian Lin, Yangyang Xiang, Lin, Xian +9 · 1 citation
Medicine · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Radiation Dose and Imaging
- FedMLP: Federated Multi-Label Medical Image Classification under Task Heterogeneity
2024/06/27 by Zhaobin Sun, Sun, Zhaobin, Nannan Wu +11 · 1 citation
Computer Science · #Text and Document Classification Technologies
- Aligning Medical Images with General Knowledge from Large Language Models
2024/08/31 by Fang, Xiao, Lin, Yi, Zhang, Dong +2 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- 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
- Prompt-Guided Foundation Model Tuning for Pathology Image Classification
2024/03/19 by Yi Lin, Lin, Yi, Zhengjie Zhu +6 · 1 citation
Computer Science · #Anomaly Detection Techniques and Applications #Image Retrieval and Classification Techniques #Machine Learning and Data Classification #cs.CV
- 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