Kwang-Ting Cheng

ORCID

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 207

Top Venues

CoRR

DATE

IEEE Trans. Medical Imaging

ASP-DAC

Publications

Dong Zhang, Pingcheng Dong, Xinting Hu, Long Chen, Kwang-Ting Cheng
Boundary and Relation Distillation for Semantic Segmentation. CoRR (2024)
Xijie Huang, Zechun Liu, Shih-Yang Liu, Kwang-Ting Cheng
RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization. CoRR (2024)
Xiaofeng Hou, Tongqiao Xu, Chao Li, Cheng Xu, Jiacheng Liu, Yang Hu, Jieru Zhao, Jingwen Leng, Kwang-Ting Cheng, Minyi Guo
A Tale of Two Domains: Exploring Efficient Architecture Design for Truly Autonomous Things. ISCA (2024)
Jiabo Ma, Zhengrui Guo, Fengtao Zhou, Yihui Wang, Yingxue Xu, Yu Cai, Zhengjie Zhu, Cheng Jin, Yi Lin, Xinrui Jiang, Anjia Han, Li Liang, Ronald Cheong Kin Chan, Jiguang Wang, Kwang-Ting Cheng, Hao Chen
Towards A Generalizable Pathology Foundation Model via Unified Knowledge Distillation. CoRR (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. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43 (5) (2024)
Xian Lin, Yangyang Xiang, Zhehao Wang, Kwang-Ting Cheng, Zengqiang Yan, Li Yu
SAMCT: Segment Any CT Allowing Labor-Free Task-Indicator Prompts. CoRR (2024)
Yifei Yu, Shaocong Wang, Woyu Zhang, Xinyuan Zhang, Xiuzhe Wu, Yangu He, Jichang Yang, Yue Zhang, Ning Lin, Bo Wang, Xi Chen, Songqi Wang, Xumeng Zhang, Xiaojuan Qi, Zhongrui Wang, Dashan Shang, Qi Liu, Kwang-Ting Cheng, Ming Liu
Efficient and accurate neural field reconstruction using resistive memory. CoRR (2024)
Yu Cai, Weiwen Zhang, Hao Chen, Kwang-Ting Cheng
MedIAnomaly: A comparative study of anomaly detection in medical images. CoRR (2024)
Zhehao Wang, Xian Lin, Nannan Wu, Li Yu, Kwang-Ting Cheng, Zengqiang Yan
DTMFormer: Dynamic Token Merging for Boosting Transformer-Based Medical Image Segmentation. AAAI (2024)
Yi Lin, Zeyu Wang, Dong Zhang, Kwang-Ting Cheng, Hao Chen
BoNuS: Boundary Mining for Nuclei Segmentation with Partial Point Labels. CoRR (2024)
Zhaobin Sun, Nannan Wu, Junjie Shi, Li Yu, Xin Yang, Kwang-Ting Cheng, Zengqiang Yan
FedMLP: Federated Multi-Label Medical Image Classification under Task Heterogeneity. CoRR (2024)
Shuhan Li, Yi Lin, Hao Chen, Kwang-Ting Cheng
Iterative Online Image Synthesis via Diffusion Model for Imbalanced Classification. CoRR (2024)
Jeffry Wicaksana, Zengqiang Yan, Kwang-Ting Cheng
Non-parametric regularization for class imbalance federated medical image classification. CoRR (2024)
Yi Lin, Zhengjie Zhu, Kwang-Ting Cheng, Hao Chen
Prompt-Guided Adaptive Model Transformation for Whole Slide Image Classification. CoRR (2024)
Xiayu Guo, Xian Lin, Xin Yang, Li Yu, Kwang-Ting Cheng, Zengqiang Yan
UCTNet: Uncertainty-guided CNN-Transformer hybrid networks for medical image segmentation. Pattern Recognit. 152 (2024)
Yangyang Xiang, Nannan Wu, Li Yu, Xin Yang, Kwang-Ting Cheng, Zengqiang Yan
FedIA: Federated Medical Image Segmentation with Heterogeneous Annotation Completeness. CoRR (2024)
Pingcheng Dong, Yonghao Tan, Dong Zhang, Tianwei Ni, Xuejiao Liu, Yu Liu, Peng Luo, Luhong Liang, Shih-Yang Liu, Xijie Huang, Huaiyu Zhu, Yun Pan, Fengwei An, Kwang-Ting Cheng
Genetic Quantization-Aware Approximation for Non-Linear Operations in Transformers. CoRR (2024)
Yi Lin, Zeyu Wang, Dong Zhang, Kwang-Ting Cheng, Hao Chen
BoNuS: Boundary Mining for Nuclei Segmentation With Partial Point Labels. IEEE Trans. Medical Imaging 43 (6) (2024)
Jingyu He, Fengbin Tu, Kwang-Ting Cheng, Chi-Ying Tsui
AdaP-CIM: Compute-in-Memory Based Neural Network Accelerator Using Adaptive Posit. DATE (2024)
Xiaofeng Hou, Xuehan Tang, Jiacheng Liu, Chao Li, Luhong Liang, Kwang-Ting Cheng
WASP: Efficient Power Management Enabling Workload-Aware, Self-Powered AIoT Devices. IEEE Trans. Parallel Distributed Syst. 35 (8) (2024)
Jichang Yang, Hegan Chen, Jia Chen, Songqi Wang, Shaocong Wang, Yifei Yu, Xi Chen, Bo Wang, Xinyuan Zhang, Binbin Cui, Yi Li, Ning Lin, Meng Xu, Yi Li, Xiaoxin Xu, Xiaojuan Qi, Zhongrui Wang, Xumeng Zhang, Dashan Shang, Han Wang, Qi Liu, Kwang-Ting Cheng, Ming Liu
Resistive Memory-based Neural Differential Equation Solver for Score-based Diffusion Model. CoRR (2024)
Shih-Yang Liu, Chien-Yi Wang, Hongxu Yin, Pavlo Molchanov, Yu-Chiang Frank Wang, Kwang-Ting Cheng, Min-Hung Chen
DoRA: Weight-Decomposed Low-Rank Adaptation. CoRR (2024)
Dong Zhang, Yi Lin, Jinhui Tang, Kwang-Ting Cheng
CAE-GReaT: Convolutional-Auxiliary Efficient Graph Reasoning Transformer for Dense Image Predictions. Int. J. Comput. Vis. 132 (5) (2024)
Yu Cai, Hao Chen, Kwang-Ting Cheng
Rethinking Autoencoders for Medical Anomaly Detection from A Theoretical Perspective. CoRR (2024)
Fengshi Tian, Jiakun Zheng, Jingyu He, Jinbo Chen, Xiaomeng Wang, Chaoming Fang, Jie Yang, Mohamad Sawan, Chi-Ying Tsui, Kwang-Ting Cheng
BOLS: A Bionic Sensor-direct On-chip Learning System with Direct-Feedback-Through-Time for Personalized Wearable Health Monitoring. ISCAS (2024)
Junjie Shi, Li Yu, Qimin Cheng, Xin Yang, Kwang-Ting Cheng, Zengqiang Yan
MFTrans: Modality-Masked Fusion Transformer for Incomplete Multi-Modality Brain Tumor Segmentation. IEEE J. Biomed. Health Informatics 28 (1) (2024)
Hegan Chen, Jichang Yang, Jia Chen, Songqi Wang, Shaocong Wang, Dingchen Wang, Xinyu Tian, Yifei Yu, Xi Chen, Yinan Lin, Yangu He, Xiaoshan Wu, Yi Li, Xinyuan Zhang, Ning Lin, Meng Xu, Yi Li, Xumeng Zhang, Zhongrui Wang, Han Wang, Dashan Shang, Qi Liu, Kwang-Ting Cheng, Ming Liu
Continuous-Time Digital Twin with Analogue Memristive Neural Ordinary Differential Equation Solver. CoRR (2024)
Yue Zhang, Woyu Zhang, Shaocong Wang, Ning Lin, Yifei Yu, Yangu He, Bo Wang, Hao Jiang, Peng Lin, Xiaoxin Xu, Xiaojuan Qi, Zhongrui Wang, Xumeng Zhang, Dashan Shang, Qi Liu, Kwang-Ting Cheng, Ming Liu
Dynamic neural network with memristive CIM and CAM for 2D and 3D vision. CoRR (2024)
Huimin Wu, Xiaomeng Li, Yiqun Lin, Kwang-Ting Cheng
Compete to Win: Enhancing Pseudo Labels for Barely-supervised Medical Image Segmentation. CoRR (2023)
Jingyu He, Yucong Huang, Miguel Lastras, Terry Tao Ye, Chi-Ying Tsui, Kwang-Ting Cheng
RVComp: Analog Variation Compensation for RRAM-Based in-Memory Computing. ASP-DAC (2023)
Xijie Huang, Zechun Liu, Shih-Yang Liu, Kwang-Ting Cheng
Efficient Quantization-aware Training with Adaptive Coreset Selection. CoRR (2023)
Nannan Wu, Li Yu, Xuefeng Jiang, Kwang-Ting Cheng, Zengqiang Yan
FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneity. CoRR (2023)
Yu Cai, Hao Chen, Xin Yang, Yu Zhou, Kwang-Ting Cheng
Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images. Medical Image Anal. 86 (2023)
Weihang Dai, Xiaomeng Li, Taihui Yu, Di Zhao, Jun Shen, Kwang-Ting Cheng
Radiomics-Informed Deep Learning for Classification of Atrial Fibrillation Sub-Types from Left-Atrium CT Volumes. CoRR (2023)
Yi Lin, Yufan Chen, Kwang-Ting Cheng, Hao Chen
Few Shot Medical Image Segmentation with Cross Attention Transformer. CoRR (2023)
Xian Lin, Li Yu, Kwang-Ting Cheng, Zengqiang Yan
The Lighter the Better: Rethinking Transformers in Medical Image Segmentation Through Adaptive Pruning. IEEE Trans. Medical Imaging 42 (8) (2023)
Xiaofeng Hou, Jiacheng Liu, Xuehan Tang, Chao Li, Kwang-Ting Cheng, Li Li, Minyi Guo
MMExit: Enabling Fast and Efficient Multi-modal DNN Inference with Adaptive Network Exits. Euro-Par (2023)
Jiayi Chen, Benteng Ma, Hengfei Cui, Yong Xia, Kwang-Ting Cheng
Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts. CoRR (2023)
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)
Nannan Wu, Li Yu, Xuefeng Jiang, Kwang-Ting Cheng, Zengqiang Yan
FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneity. IJCAI (2023)
Huimin Wu, Xiaomeng Li, Yiqun Lin, Kwang-Ting Cheng
Compete to Win: Enhancing Pseudo Labels for Barely-Supervised Medical Image Segmentation. IEEE Trans. Medical Imaging 42 (11) (2023)
Shaocong Wang, Yi Li, Dingchen Wang, Woyu Zhang, Xi Chen, Danian Dong, Songqi Wang, Xumeng Zhang, Peng Lin, Claudio Gallicchio, Xiaoxin Xu, Qi Liu, Kwang-Ting Cheng, Zhongrui Wang, Dashan Shang, Ming Liu
Echo state graph neural networks with analogue random resistive memory arrays. Nat. Mac. Intell. 5 (2) (2023)
Shih-Yang Liu, Zechun Liu, Xijie Huang, Pingcheng Dong, Kwang-Ting Cheng
LLM-FP4: 4-Bit Floating-Point Quantized Transformers. CoRR (2023)
Xiaofeng Hou, Jiacheng Liu, Xuehan Tang, Chao Li, Jia Chen, Luhong Liang, Kwang-Ting Cheng, Minyi Guo
Architecting Efficient Multi-modal AIoT Systems. ISCA (2023)
Weihang Dai, Xiaomeng Li, Taihui Yu, Di Zhao, Jun Shen, Kwang-Ting Cheng
Radiomics-Informed Deep Learning for Classification of Atrial Fibrillation Sub-Types from Left-Atrium CT Volumes. MICCAI (7) (2023)
Huimin Wu, Chenyang Lei, Xiao Sun, Peng-Shuai Wang, Qifeng Chen, Kwang-Ting Cheng, Stephen Lin, Zhirong Wu
Randomized Quantization: A Generic Augmentation for Data Agnostic Self-supervised Learning. ICCV (2023)
Weihang Dai, Xiaomeng Li, Kwang-Ting Cheng
Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks. CoRR (2023)
Pingcheng Dong, Zhuoyu Chen, Ke Li, Lei Chen, Kwang-Ting Cheng, Fengwei An
A 1920×1080 129fps 4.3pJ/pixel Stereo-Matching Processor for Pico Aerial Vehicles. ESSCIRC (2023)
Jeffry Wicaksana, Zengqiang Yan, Kwang-Ting Cheng
FCA: Taming Long-tailed Federated Medical Image Classification by Classifier Anchoring. CoRR (2023)
Chi-Hsuan Wu, Shih-Yang Liu, Xijie Huang, Xingbo Wang, Rong Zhang, Luca Minciullo, Wong Kai Yiu, Kenny Kwan, Kwang-Ting Cheng
CMOSE: Comprehensive Multi-Modality Online Student Engagement Dataset with High-Quality Labels. CoRR (2023)
Shaocong Wang, Yizhao Gao, Yi Li, Woyu Zhang, Yifei Yu, Bo Wang, Ning Lin, Hegan Chen, Yue Zhang, Yang Jiang, Dingchen Wang, Jia Chen, Peng Dai, Hao Jiang, Peng Lin, Xumeng Zhang, Xiaojuan Qi, Xiaoxin Xu, Hayden K. H. So, Zhongrui Wang, Dashan Shang, Qi Liu, Kwang-Ting Cheng, Ming Liu
Random resistive memory-based deep extreme point learning machine for unified visual processing. CoRR (2023)
Shih-Yang Liu, Zechun Liu, Kwang-Ting Cheng
Oscillation-free Quantization for Low-bit Vision Transformers. ICML (2023)
Yi Lin, Dong Zhang, Xiao Fang, Yufan Chen, Kwang-Ting Cheng, Hao Chen
Rethinking Boundary Detection in Deep Learning Models for Medical Image Segmentation. IPMI (2023)
Shih-Yang Liu, Zechun Liu, Xijie Huang, Pingcheng Dong, Kwang-Ting Cheng
LLM-FP4: 4-Bit Floating-Point Quantized Transformers. EMNLP (2023)
Xian Lin, Li Yu, Kwang-Ting Cheng, Zengqiang Yan
BATFormer: Towards Boundary-Aware Lightweight Transformer for Efficient Medical Image Segmentation. IEEE J. Biomed. Health Informatics 27 (7) (2023)
Yi Lin, Yufan Chen, Kwang-Ting Cheng, Hao Chen
Few Shot Medical Image Segmentation with Cross Attention Transformer. MICCAI (2) (2023)
Yi Li, Songqi Wang, Yaping Zhao, Shaocong Wang, Woyu Zhang, Yangu He, Ning Lin, Binbin Cui, Xi Chen, Shiming Zhang, Hao Jiang, Peng Lin, Xumeng Zhang, Xiaojuan Qi, Zhongrui Wang, Xiaoxin Xu, Dashan Shang, Qi Liu, Kwang-Ting Cheng, Ming Liu
Pruning random resistive memory for optimizing analogue AI. CoRR (2023)
Cheng Xu, Xiaofeng Hou, Jiacheng Liu, Chao Li, Tianhao Huang, Xiaozhi Zhu, Mo Niu, Lingyu Sun, Peng Tang, Tongqiao Xu, Kwang-Ting Cheng, Minyi Guo
MMBench: Benchmarking End-to-End Multi-modal DNNs and Understanding Their Hardware-Software Implications. IISWC (2023)
Yi Lin, Zhiyong Qu, Hao Chen, Zhongke Gao, Yuexiang Li, Lili Xia, Kai Ma, Yefeng Zheng, Kwang-Ting Cheng
Nuclei segmentation with point annotations from pathology images via self-supervised learning and co-training. Medical Image Anal. 89 (2023)
Xiaomeng Wang, Fengshi Tian, Xizi Chen, Jiakun Zheng, Xuejiao Liu, Fengbin Tu, Jie Yang, Mohamad Sawan, Kwang-Ting Cheng, Chi-Ying Tsui
A 137.5 TOPS/W SRAM Compute-in-Memory Macro with 9-b Memory Cell-Embedded ADCs and Signal Margin Enhancement Techniques for AI Edge Applications. CoRR (2023)
Xijie Huang, Zhiqiang Shen, Kwang-Ting Cheng
Variation-aware Vision Transformer Quantization. CoRR (2023)
Jia Chen, Fengbin Tu, Kunming Shao, Fengshi Tian, Xiao Huo, Chi-Ying Tsui, Kwang-Ting Cheng
AutoDCIM: An Automated Digital CIM Compiler. DAC (2023)
Yi Lin, Zhongchen Zhao, Zhengjie Zhu, Lisheng Wang, Kwang-Ting Cheng, Hao Chen
Exploring Visual Prompts for Whole Slide Image Classification with Multiple Instance Learning. CoRR (2023)
Xijie Huang, Li Lyna Zhang, Kwang-Ting Cheng, Mao Yang
Boosting LLM Reasoning: Push the Limits of Few-shot Learning with Reinforced In-Context Pruning. CoRR (2023)
Xin Yang, Yi Lin, Zhiwei Wang, Xin Li, Kwang-Ting Cheng
Bi-Modality Medical Image Synthesis Using Semi-Supervised Sequential Generative Adversarial Networks. CoRR (2023)
Weihang Dai, Yao Du, Hanru Bai, Kwang-Ting Cheng, Xiaomeng Li
Semi-Supervised Contrastive Learning for Deep Regression with Ordinal Rankings from Spectral Seriation. NeurIPS (2023)
Xianghong Hu, Xuejiao Liu, Yu Liu, Haowei Zhang, Xijie Huang, Xihao Guan, Luhong Liang, Chi-Ying Tsui, Xiaoming Xiong, Kwang-Ting Cheng
A Tiny Accelerator for Mixed-Bit Sparse CNN Based on Efficient Fetch Method of SIMO SPad. IEEE Trans. Circuits Syst. II Express Briefs 70 (8) (2023)
Nannan Wu, Li Yu, Xin Yang, Kwang-Ting Cheng, Zengqiang Yan
FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image Classification. MICCAI (2) (2023)
Yi Lin, Xiao Fang, Dong Zhang, Kwang-Ting Cheng, Hao Chen
A Permutable Hybrid Network for Volumetric Medical Image Segmentation. CoRR (2023)
Shih-Yang Liu, Zechun Liu, Kwang-Ting Cheng
Oscillation-free Quantization for Low-bit Vision Transformers. CoRR (2023)
Jeffry Wicaksana, Zengqiang Yan, Dong Zhang, Xijie Huang, Huimin Wu, Xin Yang, Kwang-Ting Cheng
FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation. IEEE Trans. Medical Imaging 42 (7) (2023)
Weihang Dai, Xiaomeng Li, Kwang-Ting Cheng
Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks. AAAI (2023)
Yu Zhu, Zhenhua Zhu, Guohao Dai, Fengbin Tu, Hanbo Sun, Kwang-Ting Cheng, Huazhong Yang, Yu Wang
PIM-HLS: An Automatic Hardware Generation Tool for Heterogeneous Processing-In-Memory-based Neural Network Accelerators. DAC (2023)
Xiaofeng Hou, Peng Tang, Chao Li, Jiacheng Liu, Cheng Xu, Kwang-Ting Cheng, Minyi Guo
SMG: A System-Level Modality Gating Facility for Fast and Energy-Efficient Multimodal Computing. RTSS (2023)
Yue Yu, Sophia Yi, Xi Nan, Leo Yu-Ho Lo, Kento Shigyo, Liwenhan Xie, Jeffry Wicaksana, Kwang-Ting Cheng, Huamin Qu
FoodWise: Food Waste Reduction and Behavior Change on Campus with Data Visualization and Gamification. CoRR (2023)
Shuhan Li, Dong Zhang, Xiaomeng Li, Chubin Ou, Lin An, Yanwu Xu, Kwang-Ting Cheng
Vessel-Promoted OCT to OCTA Image Translation by Heuristic Contextual Constraints. CoRR (2023)
Weihang Dai, Xiaomeng Li, Xinpeng Ding, Kwang-Ting Cheng
Cyclical Self-Supervision for Semi-Supervised Ejection Fraction Prediction From Echocardiogram Videos. IEEE Trans. Medical Imaging 42 (5) (2023)
Luyang Luo, Xi Wang, Yi Lin, Xiaoqi Ma, Andong Tan, Ronald C. K. Chan, Vince Vardhanabhuti, Winnie CW Chu, Kwang-Ting Cheng, Hao Chen
Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions. CoRR (2023)
Yi Lin, Dong Zhang, Xiao Fang, Yufan Chen, Kwang-Ting Cheng, Hao Chen
Rethinking Boundary Detection in Deep Learning Models for Medical Image Segmentation. CoRR (2023)
Yuanjie Dang, Chong Huang, Peng Chen, Ronghua Liang, Xin Yang, Kwang-Ting Cheng
Path-Analysis-Based Reinforcement Learning Algorithm for Imitation Filming. IEEE Trans. Multim. 25 (2023)
Yue Yu, Sophia Yi, Xi Nan, Leo Yu-Ho Lo, Kento Shigyo, Liwenhan Xie, Jeffry Wicaksana, Kwang-Ting Cheng, Huamin Qu
FoodWise: Food Waste Reduction and Behavior Change on Campus with Data Visualization and Gamification. COMPASS (2023)
Huimin Wu, Chenyang Lei, Xiao Sun, Peng-Shuai Wang, Qifeng Chen, Kwang-Ting Cheng, Stephen Lin, Zhirong Wu
Randomized Quantization for Data Agnostic Representation Learning. CoRR (2022)
Cheng Liu, Cheng Chu, Dawen Xu, Ying Wang, Qianlong Wang, Huawei Li, Xiaowei Li, Kwang-Ting Cheng
HyCA: A Hybrid Computing Architecture for Fault-Tolerant Deep Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (10) (2022)
Arnav Chavan, Zhiqiang Shen, Zhuang Liu, Zechun Liu, Kwang-Ting Cheng, Eric P. Xing
Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space. CVPR (2022)
Yuanjie Dang, Chong Huang, Peng Chen, Ronghua Liang, Xin Yang, Kwang-Ting Cheng
Imitation Learning-Based Algorithm for Drone Cinematography System. IEEE Trans. Cogn. Dev. Syst. 14 (2) (2022)
Yi Lin, Zeyu Wang, Kwang-Ting Cheng, Hao Chen
InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance Segmentation. MICCAI (2) (2022)
Xijie Huang, Zhiqiang Shen, Shichao Li, Zechun Liu, Xianghong Hu, Jeffry Wicaksana, Eric P. Xing, Kwang-Ting Cheng
SDQ: Stochastic Differentiable Quantization with Mixed Precision. ICML (2022)
Dong Zhang, Jinhui Tang, Kwang-Ting Cheng
Graph Reasoning Transformer for Image Parsing. CoRR (2022)
Jeffry Wicaksana, Zengqiang Yan, Xin Yang, Yang Liu, Lixin Fan, Kwang-Ting Cheng
Customized Federated Learning for Multi-Source Decentralized Medical Image Classification. IEEE J. Biomed. Health Informatics 26 (11) (2022)
Dong Zhang, Jinhui Tang, Kwang-Ting Cheng
Graph Reasoning Transformer for Image Parsing. ACM Multimedia (2022)
Xian Lin, Zengqiang Yan, Li Yu, Kwang-Ting Cheng
C2FTrans: Coarse-to-Fine Transformers for Medical Image Segmentation. CoRR (2022)
Weihang Dai, Xiaomeng Li, Xinpeng Ding, Kwang-Ting Cheng
Cyclical Self-Supervision for Semi-Supervised Ejection Fraction Prediction from Echocardiogram Videos. CoRR (2022)
Jianwei Zheng, Yu Liu, Xuejiao Liu, Luhong Liang, Deming Chen, Kwang-Ting Cheng
ReAAP: A Reconfigurable and Algorithm-Oriented Array Processor With Compiler-Architecture Co-Design. IEEE Trans. Computers 71 (12) (2022)
Xijie Huang, Zhiqiang Shen, Shichao Li, Zechun Liu, Xianghong Hu, Jeffry Wicaksana, Eric P. Xing, Kwang-Ting Cheng
SDQ: Stochastic Differentiable Quantization with Mixed Precision. CoRR (2022)
Arnav Chavan, Zhiqiang Shen, Zhuang Liu, Zechun Liu, Kwang-Ting Cheng, Eric P. Xing
Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space. CoRR (2022)
Xian Lin, Li Yu, Kwang-Ting Cheng, Zengqiang Yan
The Lighter The Better: Rethinking Transformers in Medical Image Segmentation Through Adaptive Pruning. CoRR (2022)
Nannan Wu, Li Yu, Xin Yang, Kwang-Ting Cheng, Zengqiang Yan
FedRare: Federated Learning with Intra- and Inter-Client Contrast for Effective Rare Disease Classification. CoRR (2022)
Zechun Liu, Kwang-Ting Cheng, Dong Huang, Eric P. Xing, Zhiqiang Shen
Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. CVPR (2022)
Shichao Li, Zechun Liu, Zhiqiang Shen, Kwang-Ting Cheng
Stereo Neural Vernier Caliper. CoRR (2022)
Weihang Dai, Xiaomeng Li, Wan Hang Keith Chiu, Michael David Kuo, Kwang-Ting Cheng
Adaptive Contrast for Image Regression in Computer-Aided Disease Assessment. IEEE Trans. Medical Imaging 41 (5) (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Kwang-Ting Cheng