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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
- 2023
[j136]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)- [j135]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) - [c346]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: 246-251 - [i60]Shih-Yang Liu, Zechun Liu, Kwang-Ting Cheng:
Oscillation-free Quantization for Low-bit Vision Transformers. CoRR abs/2302.02210 (2023) - [i59]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) - [i58]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) - [i57]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) - [i56]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) - [i55]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) - [i54]Yi Lin, Yufan Chen, Kwang-Ting Cheng, Hao Chen:
Few Shot Medical Image Segmentation with Cross Attention Transformer. CoRR abs/2303.13867 (2023) - [i53]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) - [i52]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) - [i51]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) - [i50]Jeffry Wicaksana, Zengqiang Yan, Kwang-Ting Cheng:
FCA: Taming Long-tailed Federated Medical Image Classification by Classifier Anchoring. CoRR abs/2305.00738 (2023) - [i49]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) - 2022
- [j134]Xiaofeng Hou, Cheng Xu, Jiacheng Liu, Xuehan Tang, Lingyu Sun, Chao Li, Kwang-Ting Cheng:
Characterizing and Understanding End-to-End Multi-Modal Neural Networks on GPUs. IEEE Comput. Archit. Lett. 21(2): 125-128 (2022) - [j133]Chong Huang, Yuanjie Dang, Peng Chen, Xin Yang, Kwang-Ting Cheng:
One-Shot Imitation Drone Filming of Human Motion Videos. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5335-5348 (2022) - [j132]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): 403-413 (2022) - [j131]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): 3088-3100 (2022) - [j130]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): 3400-3413 (2022) - [j129]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): 5596-5607 (2022) - [j128]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): 1255-1268 (2022) - [c345]Shichao Li, Zechun Liu, Zhiqiang Shen, Kwang-Ting Cheng:
Stereo Neural Vernier Caliper. AAAI 2022: 1376-1385 - [c344]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: 4921-4931 - [c343]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: 4932-4942 - [c342]Zechun Liu, Zhiqiang Shen, Yun Long, Eric P. Xing, Kwang-Ting Cheng, Chas Leichner:
Data-Free Neural Architecture Search via Recursive Label Calibration. ECCV (24) 2022: 391-406 - [c341]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: 9295-9309 - [c340]Yi Lin, Zeyu Wang, Kwang-Ting Cheng, Hao Chen:
InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance Segmentation. MICCAI (2) 2022: 140-149 - [c339]Yu Cai, Hao Chen, Xin Yang, Yu Zhou, Kwang-Ting Cheng:
Dual-Distribution Discrepancy for Anomaly Detection in Chest X-Rays. MICCAI (3) 2022: 584-593 - [c338]Dong Zhang, Jinhui Tang, Kwang-Ting Cheng:
Graph Reasoning Transformer for Image Parsing. ACM Multimedia 2022: 2380-2389 - [i48]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 abs/2201.00814 (2022) - [i47]Yi Lin, Zhiyong Qu, Hao Chen, Zhongke Gao, Yuexiang Li, Lili Xia, Kai Ma, Yefeng Zheng, Kwang-Ting Cheng:
Label Propagation for Annotation-Efficient Nuclei Segmentation from Pathology Images. CoRR abs/2202.08195 (2022) - [i46]Shichao Li, Zechun Liu, Zhiqiang Shen, Kwang-Ting Cheng:
Stereo Neural Vernier Caliper. CoRR abs/2203.11018 (2022) - [i45]Jeffry Wicaksana, Zengqiang Yan, Dong Zhang, Xijie Huang, Huimin Wu, Xin Yang, Kwang-Ting Cheng:
FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation. CoRR abs/2205.01840 (2022) - [i44]Yu Cai, Hao Chen, Xin Yang, Yu Zhou, Kwang-Ting Cheng:
Dual-Distribution Discrepancy for Anomaly Detection in Chest X-Rays. CoRR abs/2206.03935 (2022) - [i43]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 abs/2206.04459 (2022) - [i42]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 abs/2206.13803 (2022) - [i41]Xian Lin, Zengqiang Yan, Li Yu, Kwang-Ting Cheng:
C2FTrans: Coarse-to-Fine Transformers for Medical Image Segmentation. CoRR abs/2206.14409 (2022) - [i40]Xian Lin, Li Yu, Kwang-Ting Cheng, Zengqiang Yan:
The Lighter The Better: Rethinking Transformers in Medical Image Segmentation Through Adaptive Pruning. CoRR abs/2206.14413 (2022) - [i39]Yi Lin, Zeyu Wang, Kwang-Ting Cheng, Hao Chen:
InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance Segmentation. CoRR abs/2206.15134 (2022) - [i38]Shuhan Li, Xiaomeng Li, Xiaowei Xu, Kwang-Ting Cheng:
Sub-cluster-aware Network for Few-shot Skin Disease Classification. CoRR abs/2207.01072 (2022) - [i37]Dong Zhang, Jinhui Tang, Kwang-Ting Cheng:
Graph Reasoning Transformer for Image Parsing. CoRR abs/2209.09545 (2022) - [i36]Dong Zhang, Yi Lin, Hao Chen, Zhuotao Tian, Xin Yang, Jinhui Tang, Kwang-Ting Cheng:
Deep Learning for Medical Image Segmentation: Tricks, Challenges and Future Directions. CoRR abs/2209.10307 (2022) - [i35]Yu Cai, Hao Chen, Xin Yang, Yu Zhou, Kwang-Ting Cheng:
Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images. CoRR abs/2210.04227 (2022) - [i34]Weihang Dai, Xiaomeng Li, Xinpeng Ding, Kwang-Ting Cheng:
Cyclical Self-Supervision for Semi-Supervised Ejection Fraction Prediction from Echocardiogram Videos. CoRR abs/2210.11291 (2022) - [i33]Xiaofeng Hou, Cheng Xu, Jiacheng Liu, Xuehan Tang, Linyu Sun, Chao Li, Kwang-Ting Cheng:
Analyzing the Hardware-Software Implications of Multi-modal DNN Workloads using MMBench. CoRR abs/2212.01241 (2022) - [i32]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 abs/2212.08663 (2022) - 2021
- [j127]Zechun Liu, Xiangyu Zhang, Zhiqiang Shen, Yichen Wei, Kwang-Ting Cheng, Jian Sun:
Joint Multi-Dimension Pruning via Numerical Gradient Update. IEEE Trans. Image Process. 30: 8034-8045 (2021) - [j126]Zengqiang Yan, Jeffry Wicaksana, Zhiwei Wang, Xin Yang, Kwang-Ting Cheng:
Variation-Aware Federated Learning With Multi-Source Decentralized Medical Image Data. IEEE J. Biomed. Health Informatics 25(7): 2615-2628 (2021) - [j125]Xin Yang, Jingyu Chen, Yuanjie Dang, Hongcheng Luo, Yuesheng Tang, Chunyuan Liao, Peng Chen, Kwang-Ting Cheng:
Fast Depth Prediction and Obstacle Avoidance on a Monocular Drone Using Probabilistic Convolutional Neural Network. IEEE Trans. Intell. Transp. Syst. 22(1): 156-167 (2021) - [j124]Dawen Xu, Ziyang Zhu, Cheng Liu, Ying Wang, Shuang Zhao, Lei Zhang, Huaguo Liang, Huawei Li, Kwang-Ting Cheng:
Reliability Evaluation and Analysis of FPGA-Based Neural Network Acceleration System. IEEE Trans. Very Large Scale Integr. Syst. 29(3): 472-484 (2021) - [j123]Dawen Xu, Meng He, Cheng Liu, Ying Wang, Long Cheng, Huawei Li, Xiaowei Li, Kwang-Ting Cheng:
R2F: A Remote Retraining Framework for AIoT Processors With Computing Errors. IEEE Trans. Very Large Scale Integr. Syst. 29(11): 1955-1966 (2021) - [c337]Zhiqiang Shen, Zechun Liu, Jie Qin, Marios Savvides, Kwang-Ting Cheng:
Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning. AAAI 2021: 9594-9602 - [c336]Shichao Li, Zengqiang Yan, Hongyang Li, Kwang-Ting Cheng:
Exploring intermediate representation for monocular vehicle pose estimation. CVPR 2021: 1873-1883 - [c335]Zhiqiang Shen, Zechun Liu, Jie Qin, Lei Huang, Kwang-Ting Cheng, Marios Savvides:
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-Bit Neural Networks via Guided Distribution Calibration. CVPR 2021: 2165-2174 - [c334]Yuyang Wang, Kwang-Ting Cheng:
Traffic-Adaptive Power Reconfiguration for Energy-Efficient and Energy-Proportional Optical Interconnects. ICCAD 2021: 1-9 - [c333]Zhiqiang Shen, Zechun Liu, Dejia Xu, Zitian Chen, Kwang-Ting Cheng, Marios Savvides:
Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study. ICLR 2021 - [c332]Zechun Liu, Zhiqiang Shen, Shichao Li, Koen Helwegen, Dong Huang, Kwang-Ting Cheng:
How Do Adam and Training Strategies Help BNNs Optimization. ICML 2021: 6936-6946 - [c331]Junlin Xian, Zhiwei Wang, Kwang-Ting Cheng, Xin Yang:
Towards Robust Dual-View Transformation via Densifying Sparse Supervision for Mammography Lesion Matching. MICCAI (5) 2021: 355-365 - [i31]Zhiqiang Shen, Zechun Liu, Jie Qin, Marios Savvides, Kwang-Ting Cheng:
Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning. CoRR abs/2102.03983 (2021) - [i30]Zhiqiang Shen, Zechun Liu, Jie Qin, Lei Huang, Kwang-Ting Cheng, Marios Savvides:
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration. CoRR abs/2102.08946 (2021) - [i29]Zhiqiang Shen, Zechun Liu, Dejia Xu, Zitian Chen, Kwang-Ting Cheng, Marios Savvides:
Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study. CoRR abs/2104.00676 (2021) - [i28]Dawen Xu, Qianlong Wang, Cheng Liu, Cheng Chu, Ying Wang, Huawei Li, Xiaowei Li, Kwang-Ting Cheng:
HyCA: A Hybrid Computing Architecture for Fault Tolerant Deep Learning. CoRR abs/2106.04772 (2021) - [i27]Zechun Liu, Zhiqiang Shen, Shichao Li, Koen Helwegen, Dong Huang, Kwang-Ting Cheng:
How Do Adam and Training Strategies Help BNNs Optimization? CoRR abs/2106.11309 (2021) - [i26]Dawen Xu, Cheng Chu, Cheng Liu, Ying Wang, Huawei Li, Xiaowei Li, Kwang-Ting Cheng:
Energy-Efficient Accelerator Design for Deformable Convolution Networks. CoRR abs/2107.02547 (2021) - [i25]Dawen Xu, Meng He, Cheng Liu, Ying Wang, Long Cheng, Huawei Li, Xiaowei Li, Kwang-Ting Cheng:
R2F: A Remote Retraining Framework for AIoT Processors with Computing Errors. CoRR abs/2107.03096 (2021) - [i24]Yi Lin, Jianchao Su, Xiang Wang, Xiang Li, Jingen Liu, Kwang-Ting Cheng, Xin Yang:
Automated Pulmonary Embolism Detection from CTPA Images Using an End-to-End Convolutional Neural Network. CoRR abs/2111.05506 (2021) - [i23]Huimin Wu, Xiaomeng Li, Kwang-Ting Cheng:
Exploring Feature Representation Learning for Semi-supervised Medical Image Segmentation. CoRR abs/2111.10989 (2021) - [i22]Shichao Li, Kwang-Ting Cheng:
Joint stereo 3D object detection and implicit surface reconstruction. CoRR abs/2111.12924 (2021) - [i21]Zechun Liu, Kwang-Ting Cheng, Dong Huang, Eric P. Xing, Zhiqiang Shen:
Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. CoRR abs/2111.14826 (2021) - [i20]Zechun Liu, Zhiqiang Shen, Yun Long, Eric P. Xing, Kwang-Ting Cheng, Chas Leichner:
Data-Free Neural Architecture Search via Recursive Label Calibration. CoRR abs/2112.02086 (2021) - [i19]Xijie Huang, Jeffry Wicaksana, Shichao Li, Kwang-Ting Cheng:
Automated Vision-Based Wellness Analysis for Elderly Care Centers. CoRR abs/2112.10381 (2021) - [i18]Weihang Dai, Xiaomeng Li, Wan Hang Keith Chiu, Michael David Kuo, Kwang-Ting Cheng:
Adaptive Contrast for Image Regression in Computer-Aided Disease Assessment. CoRR abs/2112.11700 (2021) - [i17]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 resistor arrays. CoRR abs/2112.15270 (2021) - 2020
- [j122]Zechun Liu, Wenhan Luo, Baoyuan Wu, Xin Yang, Wei Liu, Kwang-Ting Cheng:
Bi-Real Net: Binarizing Deep Network Towards Real-Network Performance. Int. J. Comput. Vis. 128(1): 202-219 (2020) - [j121]Zhiwei Wang, Yi Lin, Kwang-Ting (Tim) Cheng, Xin Yang:
Semi-supervised mp-MRI data synthesis with StitchLayer and auxiliary distance maximization. Medical Image Anal. 59 (2020) - [j120]Xin Yang, Yi Lin, Zhiwei Wang, Xin Li, Kwang-Ting Cheng:
Bi-Modality Medical Image Synthesis Using Semi-Supervised Sequential Generative Adversarial Networks. IEEE J. Biomed. Health Informatics 24(3): 855-865 (2020) - [j119]Zengqiang Yan, Xin Yang, Kwang-Ting Cheng:
Enabling a Single Deep Learning Model for Accurate Gland Instance Segmentation: A Shape-Aware Adversarial Learning Framework. IEEE Trans. Medical Imaging 39(6): 2176-2189 (2020) - [j118]Zhiwei Wang, Xixi Jiang, Jingen Liu, Kwang-Ting Cheng, Xin Yang:
Multi-Task Siamese Network for Retinal Artery/Vein Separation via Deep Convolution Along Vessel. IEEE Trans. Medical Imaging 39(9): 2904-2919 (2020) - [c330]Dawen Xu, Ziyang Zhu, Cheng Liu, Ying Wang, Huawei Li, Lei Zhang, Kwang-Ting Cheng:
Persistent Fault Analysis of Neural Networks on FPGA-based Acceleration System. ASAP 2020: 85-92 - [c329]Shichao Li, Lei Ke, Kevin Pratama, Yu-Wing Tai, Chi-Keung Tang, Kwang-Ting Cheng:
Cascaded Deep Monocular 3D Human Pose Estimation With Evolutionary Training Data. CVPR 2020: 6172-6182 - [c328]Hai Phan, Zechun Liu, Dang Huynh, Marios Savvides, Kwang-Ting Cheng, Zhiqiang Shen:
Binarizing MobileNet via Evolution-Based Searching. CVPR 2020: 13417-13426 - [c327]Leilai Shao, Ting Lei, Tsung-Ching Huang, Zhenan Bao, Kwang-Ting Cheng:
Robust Design of Large Area Flexible Electronics via Compressed Sensing. DAC 2020: 1-6 - [c326]Yuyang Wang, Jared Hulme, Peng Sun, Mudit Jain, M. Ashkan Seyedi, Marco Fiorentino, Raymond G. Beausoleil, Kwang-Ting Cheng:
Characterization and Applications of Spatial Variation Models for Silicon Microring-Based Optical Transceivers. DAC 2020: 1-6 - [c325]Zechun Liu, Zhiqiang Shen, Marios Savvides, Kwang-Ting Cheng:
ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions. ECCV (14) 2020: 143-159 - [c324]Dawen Xu, Cheng Chu, Qianlong Wang, Cheng Liu, Ying Wang, Lei Zhang, Huaguo Liang, Kwang-Ting Cheng:
A Hybrid Computing Architecture for Fault-tolerant Deep Learning Accelerators. ICCD 2020: 478-485 - [c323]Xixi Jiang, Qingqing Luo, Zhiwei Wang, Tao Mei, Yu Wen, Xin Li, Kwang-Ting Cheng, Xin Yang:
Multi-phase and Multi-level Selective Feature Fusion for Automated Pancreas Segmentation from CT Images. MICCAI (4) 2020: 460-469 - [i16]Zechun Liu, Zhiqiang Shen, Marios Savvides, Kwang-Ting Cheng:
ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions. CoRR abs/2003.03488 (2020) - [i15]Hai Phan, Zechun Liu, Dang Huynh, Marios Savvides, Kwang-Ting Cheng, Zhiqiang Shen:
Binarizing MobileNet via Evolution-based Searching. CoRR abs/2005.06305 (2020) - [i14]Zechun Liu, Xiangyu Zhang, Zhiqiang Shen, Zhe Li, Yichen Wei, Kwang-Ting Cheng, Jian Sun:
Joint Multi-Dimension Pruning. CoRR abs/2005.08931 (2020) - [i13]Shichao Li, Lei Ke, Kevin Pratama, Yu-Wing Tai, Chi-Keung Tang, Kwang-Ting Cheng:
Cascaded deep monocular 3D human pose estimation with evolutionary training data. CoRR abs/2006.07778 (2020) - [i12]Shichao Li, Zengqiang Yan, Hongyang Li, Kwang-Ting Cheng:
Exploring Intermediate Representation for Monocular Vehicle Pose Estimation. CoRR abs/2011.08464 (2020)
2010 – 2019
- 2019
- [j117]Xin Yang, Yi Lin, Jianchao Su, Xiang Wang, Xiang Li, Jingen Lin, Kwang-Ting Cheng:
A Two-Stage Convolutional Neural Network for Pulmonary Embolism Detection From CTPA Images. IEEE Access 7: 84849-84857 (2019) - [j116]Leilai Shao, Ting Lei, Tsung-Ching Huang, Sicheng Li, Ta-Ya Chu, Man Wong, Raymond G. Beausoleil, Zhenan Bao, Kwang-Ting Cheng:
Compact Modeling of Thin-Film Transistors for Flexible Hybrid IoT Design. IEEE Des. Test 36(4): 6-14 (2019) - [j115]Xin Yang, Hongcheng Luo, Yuhao Wu, Yang Gao, Chunyuan Liao, Kwang-Ting Cheng:
Reactive obstacle avoidance of monocular quadrotors with online adapted depth prediction network. Neurocomputing 325: 142-158 (2019) - [j114]Zengqiang Yan, Xin Yang, Kwang-Ting Cheng:
A Three-Stage Deep Learning Model for Accurate Retinal Vessel Segmentation. IEEE J. Biomed. Health Informatics 23(4): 1427-1436 (2019) - [j113]Hongcheng Luo, Yang Gao, Yuhao Wu, Chunyuan Liao, Xin Yang, Kwang-Ting Cheng:
Real-Time Dense Monocular SLAM With Online Adapted Depth Prediction Network. IEEE Trans. Multim. 21(2): 470-483 (2019) - [j112]Xin Yang, Yang Gao, Hongcheng Luo, Chunyuan Liao, Kwang-Ting Cheng:
Bayesian DeNet: Monocular Depth Prediction and Frame-Wise Fusion With Synchronized Uncertainty. IEEE Trans. Multim. 21(11): 2701-2713 (2019) - [j111]Yuanjie Dang, Peng Chen, Ronghua Liang, Chong Huang, Yuesheng Tang, Tianwei Yu, Xin Yang, Kwang-Ting Cheng:
Real-Time Semantic Plane Reconstruction on a Monocular Drone Using Sparse Fusion. IEEE Trans. Veh. Technol. 68(8): 7383-7391 (2019) - [c322]Yuyang Wang, M. Ashkan Seyedi, Jared Hulme, Marco Fiorentino, Raymond G. Beausoleil, Kwang-Ting Cheng:
Bidirectional tuning of microring-based silicon photonic transceivers for optimal energy efficiency. ASP-DAC 2019: 370-375 - [c321]Shichao Li, Kwang-Ting Cheng:
Visualizing the Decision-making Process in Deep Neural Decision Forest. CVPR Workshops 2019: 114-117 - [c320]Chong Huang, Chuan-En Lin, Zhenyu Yang, Yan Kong, Peng Chen, Xin Yang, Kwang-Ting Cheng:
Learning to Film From Professional Human Motion Videos. CVPR 2019: 4244-4253 - [c319]Leilai Shao, Sicheng Li, Ting Lei, Tsung-Ching Huang, Raymond G. Beausoleil, Zhenan Bao, Kwang-Ting Cheng:
Ultra-thin Skin Electronics for High Quality and Continuous Skin-Sensor-Silicon Interfacing. DAC 2019: 16 - [c318]Tsung-Ching Huang, Ting Lei, Leilai Shao, Sridhar Sivapurapu, Madhavan Swaminathan, Sicheng Li, Zhenan Bao, Kwang-Ting Cheng, Raymond G. Beausoleil:
Process Design Kit and Design Automation for Flexible Hybrid Electronics. DATE 2019: 36-41 - [c317]Nicole Fern, Kwang-Ting (Tim) Cheng:
Evaluating Assertion Set Completeness to Expose Hardware Trojans and Verification Blindspots. DATE 2019: 402-407 - [c316]Yuyang Wang, Kwang-Ting Cheng:
Task Mapping-Assisted Laser Power Scaling for Optical Network-on-Chips. ICCAD 2019: 1-6 - [c315]Zechun Liu, Haoyuan Mu, Xiangyu Zhang, Zichao Guo, Xin Yang, Kwang-Ting Cheng, Jian Sun:
MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning. ICCV 2019: 3295-3304 - [c314]Chong Huang, Zhenyu Yang, Yan Kong, Peng Chen, Xin Yang, Kwang-Ting (Tim) Cheng:
Learning to Capture a Film-Look Video with a Camera Drone. ICRA 2019: 1871-1877 - [c313]Yi Lin, Jianchao Su, Xiang Wang, Xiang Li, Jingen Liu, Kwang-Ting Cheng, Xin Yang:
Automated Pulmonary Embolism Detection from CTPA Images Using an End-to-End Convolutional Neural Network. MICCAI (4) 2019: 280-288 - [c312]Koen Helwegen, James Widdicombe, Lukas Geiger, Zechun Liu, Kwang-Ting Cheng, Roeland Nusselder:
Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization. NeurIPS 2019: 7531-7542 - [c311]Tsung-Ching Huang, Ting Lei, Leilai Shao, Sridhar Sivapurapu, Madhavan Swaminathan, Sicheng Li, Zhenan Bao, Kwang-Ting Cheng, Raymond G. Beausoleil:
Process Design Kit and Design Automation for Flexible Hybrid Electronics. VLSI-DAT 2019: 1-2 - [i11]Zechun Liu, Haoyuan Mu, Xiangyu Zhang, Zichao Guo, Xin Yang, Kwang-Ting (Tim) Cheng, Jian Sun:
MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning. CoRR abs/1903.10258 (2019) - [i10]Shichao Li, Kwang-Ting Cheng:
Visualizing the decision-making process in deep neural decision forest. CoRR abs/1904.09201 (2019) - [i9]Koen Helwegen, James Widdicombe, Lukas Geiger, Zechun Liu, Kwang-Ting Cheng, Roeland Nusselder:
Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization. CoRR abs/1906.02107 (2019) - [i8]