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ORCIDKwang-Ting Cheng
Kwang-Ting (Tim) Cheng – K. T. Tim Cheng
Person information
- affiliation: Hong Kong University of Science and Technology
- affiliation: University of California, Santa Barbara, USA
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2020 – today
- 2025
[j155]Xixi Jiang
, Dong Zhang, Xiang Li, Kangyi Liu, Kwang-Ting Cheng, Xin Yang:
Labeled-to-unlabeled distribution alignment for partially-supervised multi-organ medical image segmentation. Medical Image Anal. 99: 103333 (2025)- 2024
- [j154]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): 1502-1520 (2024) - [j153]Shuhan Li, Dong Zhang, Xiaomeng Li, Chubin Ou, Lin An, Yanwu Xu, Weihua Yang, Yanchun Zhang, Kwang-Ting Cheng:
Vessel-promoted OCT to OCTA image translation by heuristic contextual constraints. Medical Image Anal. 98: 103311 (2024) - [j152]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: 110491 (2024) - [j151]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): 1613-1617 (2024) - [j150]Yi Lin, Yanfei Liu, Hao Chen, Xin Yang, Kai Ma, Yefeng Zheng, Kwang-Ting Cheng:
LENAS: Learning-Based Neural Architecture Search and Ensemble for 3-D Radiotherapy Dose Prediction. IEEE Trans. Cybern. 54(10): 5795-5805 (2024) - [j149]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): 379-390 (2024) - [j148]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): 2137-2147 (2024) - [j147]Huimin Wu, Xiaomeng Li, Kwang-Ting Cheng:
Exploring Feature Representation Learning for Semi-Supervised Medical Image Segmentation. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16589-16601 (2024) - [j146]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): 1400-1414 (2024) - [c383]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: 5814-5822 - [c382]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. CVPR Workshops 2024: 4636-4645 - [c381]Yucong Huang, Jingyu He, Kwang-Ting (Tim) Cheng, Chi-Ying Tsui, Terry Tao Ye:
RWriC: A Dynamic Writing Scheme for Variation Compensation for RRAM-based In-Memory Computing. DAC 2024: 63:1-63:6 - [c380]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. DAC 2024: 220:1-220:6 - [c379]Jingyu He, Fengbin Tu, Kwang-Ting Cheng, Chi-Ying Tsui:
AdaP-CIM: Compute-in-Memory Based Neural Network Accelerator Using Adaptive Posit. DATE 2024: 1-2 - [c378]Xijie Huang, Zechun Liu, Shih-Yang Liu, Kwang-Ting Cheng:
RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization. EMNLP (Findings) 2024: 7563-7576 - [c377]Xijie Huang, Li Lyna Zhang, Kwang-Ting Cheng, Fan Yang, Mao Yang:
Fewer is More: Boosting Math Reasoning with Reinforced Context Pruning. EMNLP 2024: 13674-13695 - [c376]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. ICML 2024 - [c375]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: 167-181 - [c374]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: 1-5 - [c373]Xiao Fang, Yi Lin, Dong Zhang, Kwang-Ting Cheng, Hao Chen:
Aligning Medical Images with General Knowledge from Large Language Models. MICCAI (10) 2024: 57-67 - [c372]Shuhan Li, Yi Lin, Hao Chen, Kwang-Ting Cheng:
Iterative Online Image Synthesis via Diffusion Model for Imbalanced Classification. MICCAI (5) 2024: 371-381 - [c371]Yangyang Xiang, Nannan Wu, Li Yu, Xin Yang, Kwang-Ting Cheng, Zengqiang Yan:
FedIA: Federated Medical Image Segmentation with Heterogeneous Annotation Completeness. MICCAI (10) 2024: 373-382 - [c370]Zhaobin Sun, Nannan Wu, Junjie Shi, Li Yu, Kwang-Ting Cheng, Zengqiang Yan:
FedMLP: Federated Multi-label Medical Image Classification Under Task Heterogeneity. MICCAI (10) 2024: 394-404 - [c369]Yi Gu, Yi Lin, Kwang-Ting Cheng, Hao Chen:
Revisiting Deep Ensemble Uncertainty for Enhanced Medical Anomaly Detection. MICCAI (6) 2024: 520-530 - [c368]Yu Cai, Hao Chen, Kwang-Ting Cheng:
Rethinking Autoencoders for Medical Anomaly Detection from A Theoretical Perspective. MICCAI (11) 2024: 544-554 - [i94]Yi Lin, Zeyu Wang, Dong Zhang, Kwang-Ting Cheng, Hao Chen:
BoNuS: Boundary Mining for Nuclei Segmentation with Partial Point Labels. CoRR abs/2401.07437 (2024) - [i93]Dong Zhang, Pingcheng Dong, Xinting Hu, Long Chen, Kwang-Ting Cheng:
Boundary and Relation Distillation for Semantic Segmentation. CoRR abs/2401.13174 (2024) - [i92]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 abs/2402.09353 (2024) - [i91]Shuhan Li, Yi Lin, Hao Chen, Kwang-Ting Cheng:
Iterative Online Image Synthesis via Diffusion Model for Imbalanced Classification. CoRR abs/2403.08407 (2024) - [i90]Yu Cai, Hao Chen, Kwang-Ting Cheng:
Rethinking Autoencoders for Medical Anomaly Detection from A Theoretical Perspective. CoRR abs/2403.09303 (2024) - [i89]Yi Lin, Zhengjie Zhu, Kwang-Ting Cheng, Hao Chen:
Prompt-Guided Adaptive Model Transformation for Whole Slide Image Classification. CoRR abs/2403.12537 (2024) - [i88]Xian Lin, Yangyang Xiang, Zhehao Wang, Kwang-Ting Cheng, Zengqiang Yan, Li Yu:
SAMCT: Segment Any CT Allowing Labor-Free Task-Indicator Prompts. CoRR abs/2403.13258 (2024) - [i87]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 abs/2403.19591 (2024) - [i86]Yu Cai, Weiwen Zhang, Hao Chen, Kwang-Ting Cheng:
MedIAnomaly: A comparative study of anomaly detection in medical images. CoRR abs/2404.04518 (2024) - [i85]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 abs/2404.05648 (2024) - [i84]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 abs/2404.09613 (2024) - [i83]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 abs/2406.08343 (2024) - [i82]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 abs/2406.18995 (2024) - [i81]Yangyang Xiang, Nannan Wu, Li Yu, Xin Yang, Kwang-Ting Cheng, Zengqiang Yan:
FedIA: Federated Medical Image Segmentation with Heterogeneous Annotation Completeness. CoRR abs/2407.02280 (2024) - [i80]Xijie Huang, Zechun Liu, Shih-Yang Liu, Kwang-Ting Cheng:
RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization. CoRR abs/2407.08044 (2024) - [i79]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 abs/2407.08990 (2024) - [i78]Jeffry Wicaksana, Zengqiang Yan, Kwang-Ting Cheng:
Non-parametric regularization for class imbalance federated medical image classification. CoRR abs/2407.12446 (2024) - [i77]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 abs/2407.18449 (2024) - [i76]Xiao Fang, Yi Lin, Dong Zhang, Kwang-Ting Cheng, Hao Chen:
Aligning Medical Images with General Knowledge from Large Language Models. CoRR abs/2409.00341 (2024) - [i75]Xixi Jiang, Dong Zhang, Xiang Li, Kangyi Liu, Kwang-Ting Cheng, Xin Yang:
Labeled-to-Unlabeled Distribution Alignment for Partially-Supervised Multi-Organ Medical Image Segmentation. CoRR abs/2409.03228 (2024) - [i74]Yi Gu, Yi Lin, Kwang-Ting Cheng, Hao Chen:
Revisiting Deep Ensemble Uncertainty for Enhanced Medical Anomaly Detection. CoRR abs/2409.17485 (2024) - [i73]Shih-Yang Liu, Huck Yang, Chein-Yi Wang, Nai Chit Fung, Hongxu Yin, Charbel Sakr, Saurav Muralidharan, Kwang-Ting Cheng, Jan Kautz, Yu-Chiang Frank Wang, Pavlo Molchanov, Min-Hung Chen:
EoRA: Training-free Compensation for Compressed LLM with Eigenspace Low-Rank Approximation. CoRR abs/2410.21271 (2024) - 2023
- [j145]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: 102794 (2023) - [j144]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: 102933 (2023) - [j143]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): 104-113 (2023) - [j142]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): 3079-3083 (2023) - [j141]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): 3501-3512 (2023) - [j140]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): 1446-1461 (2023) - [j139]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): 1955-1968 (2023) - [j138]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): 2325-2337 (2023) - [j137]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): 3244-3255 (2023) - [j136]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: 2812-2824 (2023) - [c367]Weihang Dai, Xiaomeng Li, Kwang-Ting Cheng:
Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks. AAAI 2023: 7304-7313 - [c366]Fengshi Tian, Xiaomeng Wang, Jinbo Chen, Jie Yang, Mohamad Sawan, Chi-Ying Tsui, Kwang-Ting (Tim) Cheng:
Binary is All You Need: Ultra-Efficient Arrhythmia Detection with a Binary-Only Compressive System. AICAS 2023: 1-5 - [c365]Jingyu He, Yucong Huang, Miguel Angel Lastras-Montaño, Terry Tao Ye, Chi-Ying Tsui, Kwang-Ting Cheng:
RVComp: Analog Variation Compensation for RRAM-Based in-Memory Computing. ASP-DAC 2023: 246-251 - [c364]Fengshi Tian, Shiqi Zhao, Jingyu He, Jinbo Chen, Xiaomeng Wang, Jie Yang, Mohamad Sawan, Chi-Ying Tsui, Kwang-Ting (Tim) Cheng:
NOLS: A Near-sensor On-chip Learning System with Direct Feedback Alignment for Personalized Wearable Heart Health Monitoring. BioCAS 2023: 1-5 - [c363]Jia Chen, Fengbin Tu, Kunming Shao, Fengshi Tian, Xiao Huo, Chi-Ying Tsui, Kwang-Ting Cheng:
AutoDCIM: An Automated Digital CIM Compiler. DAC 2023: 1-6 - [c362]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: 1-6 - [c361]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: 76-83 - [c360]Shih-Yang Liu, Zechun Liu, Xijie Huang, Pingcheng Dong, Kwang-Ting Cheng:
LLM-FP4: 4-Bit Floating-Point Quantized Transformers. EMNLP 2023: 592-605 - [c359]Fengshi Tian, Xiaomeng Wang, Jinbo Chen, Jiakun Zheng, Hui Wu, Xuejiao Liu, Fengbin Tu, Jie Yang, Mohamad Sawan, Chi-Ying Tsui, Kwang-Ting (Tim) Cheng:
BIOS: A 40nm Bionic Sensor-defined 0.47pJ/SOP, 268.7TSOPs/W Configurable Spiking Neuron-in-Memory Processor for Wearable Healthcare. ESSCIRC 2023: 225-228 - [c358]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: 345-348 - [c357]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: 426-440 - [c356]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: 16259-16270 - [c355]Shih-Yang Liu, Zechun Liu, Kwang-Ting Cheng:
Oscillation-free Quantization for Low-bit Vision Transformers. ICML 2023: 21813-21824 - [c354]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: 154-166 - [c353]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: 4424-4432 - [c352]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: 730-742 - [c351]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: 31:1-31:13 - [c350]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: 153-162 - [c349]Yi Lin, Yufan Chen, Kwang-Ting Cheng, Hao Chen:
Few Shot Medical Image Segmentation with Cross Attention Transformer. MICCAI (2) 2023: 233-243 - [c348]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: 692-702 - [c347]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 - [c346]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: 291-303 - [i72]Shih-Yang Liu, Zechun Liu, Kwang-Ting Cheng:
Oscillation-free Quantization for Low-bit Vision Transformers. CoRR abs/2302.02210 (2023) - [i71]Weihang Dai, Xiaomeng Li, Kwang-Ting Cheng:
Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks. CoRR abs/2302.07579 (2023) - [i70]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 abs/2302.12510 (2023) - [i69]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 abs/2303.06807 (2023) - [i68]Yi Lin, Xiao Fang, Dong Zhang, Kwang-Ting Cheng, Hao Chen:
A Permutable Hybrid Network for Volumetric Medical Image Segmentation. CoRR abs/2303.13111 (2023) - [i67]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 abs/2303.13122 (2023) - [i66]Yi Lin, Yufan Chen, Kwang-Ting Cheng, Hao Chen:
Few Shot Medical Image Segmentation with Cross Attention Transformer. CoRR abs/2303.13867 (2023) - [i65]Luyang Luo, Xi Wang, Yi Lin, Xiaoqi Ma, Andong Tan, Ronald C. K. Chan, Varut Vardhanabhuti, Winnie CW Chu, Kwang-Ting Cheng, Hao Chen:
Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions. CoRR abs/2304.06662 (2023) - [i64]Huimin Wu, Xiaomeng Li, Yiqun Lin, Kwang-Ting Cheng:
Compete to Win: Enhancing Pseudo Labels for Barely-supervised Medical Image Segmentation. CoRR abs/2304.07519 (2023) - [i63]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 abs/2305.00678 (2023) - [i62]Jeffry Wicaksana, Zengqiang Yan, Kwang-Ting Cheng:
FCA: Taming Long-tailed Federated Medical Image Classification by Classifier Anchoring. CoRR abs/2305.00738 (2023) - [i61]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 abs/2305.05230 (2023) - [i60]Xijie Huang, Zechun Liu, Shih-Yang Liu, Kwang-Ting Cheng:
Efficient Quantization-aware Training with Adaptive Coreset Selection. CoRR abs/2306.07215 (2023) - [i59]Xijie Huang, Zhiqiang Shen, Kwang-Ting Cheng:
Variation-aware Vision Transformer Quantization. CoRR abs/2307.00331 (2023) - [i58]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 abs/2307.05944 (2023) - [i57]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 abs/2307.12882 (2023) - [i56]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 abs/2308.06933 (2023) - [i55]Xin Yang, Yi Lin, Zhiwei Wang, Xin Li, Kwang-Ting Cheng:
Bi-Modality Medical Image Synthesis Using Semi-Supervised Sequential Generative Adversarial Networks. CoRR abs/2308.14066 (2023) - [i54]Shih-Yang Liu, Zechun Liu, Xijie Huang, Pingcheng Dong, Kwang-Ting Cheng:
LLM-FP4: 4-Bit Floating-Point Quantized Transformers. CoRR abs/2310.16836 (2023) - [i53]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 abs/2311.07164 (2023) - [i52]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 abs/2312.02567 (2023) - [i51]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 abs/2312.08901 (2023) - [i50]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 abs/2312.09066 (2023) - [i49]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 abs/2312.09262 (2023) - 2022
- [j135]