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ORCIDChao Fang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Chao Fang 0001
![[0000-0002-7611-4077]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-7611-4077")
— Beijing University of Technology, Beijing Advanced Innovation Center for Future Internet Technology, China (and 1 more) - Chao Fang 0002 — Chalmers University of Technology, Department of Signals and Systems, Gothenburg, Sweden
- Chao Fang 0003 — Xidian University, National Key Laboratory of Radar Signal Processing, Xi'an, China
- Chao Fang 0004 — Chinese Academy of Sciences, Changchun Institute of Optics, Fine Mechanics and Physics, China
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2020 – today
- 2024
[j48]Suyu Tian, Chao Fang, Xiaogang Zheng, Jue Liu:
Lightweight Detection Method for Real-Time Monitoring Tomato Growth Based on Improved YOLOv5s. IEEE Access 12: 29891-29899 (2024)- [j47]Wei Wang, Chao Fang, Peng Si, Yan Wang, Mingqiang Lin:
Reliability analysis of interval-valued multi-state sliding window system for sequential tasks. Comput. Ind. Eng. 188: 109924 (2024) - [j46]Jiaxin Wu, Xiaopeng Wang, Yangyang Liu, Chao Fang:
Adaptive sparse regularized fuzzy clustering noise image segmentation algorithm based on complementary spatial information. Expert Syst. Appl. 256: 124943 (2024) - [j45]Chao Fang, Wei Sun, Aojun Zhou, Zhongfeng Wang:
Efficient N:M Sparse DNN Training Using Algorithm, Architecture, and Dataflow Co-Design. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(2): 506-519 (2024) - [j44]Ziyang Wang, Chao Fang, Xiaoxiao Liu:
Does Digital Transformation Stimulate Breakthrough Innovation? Evidence From Chinese Firms. IEEE Trans. Engineering Management 71: 11599-11614 (2024) - [j43]Chao Fang, Ming Yue, Jinyong Shangguan, Chen Xu:
Model predictive control for three-axle trucks during tire blowout on expressway based on equivalent chassis. Trans. Inst. Meas. Control 46(12): 2324-2335 (2024) - [c29]Longwei Huang, Chao Fang, Qiong Li, Jun Lin, Zhongfeng Wang:
A Precision-Scalable RISC-V DNN Processor with On-Device Learning Capability at the Extreme Edge. ASPDAC 2024: 927-932 - [c28]Yuhao Ji, Chao Fang, Zhongfeng Wang:
BETA: Binarized Energy-Efficient Transformer Accelerator at the Edge. ISCAS 2024: 1-5 - [c27]Chuanning Wang, Chao Fang, Xiao Wu, Zhongfeng Wang, Jun Lin:
A Scalable RISC-V Vector Processor Enabling Efficient Multi-Precision DNN Inference. ISCAS 2024: 1-5 - [c26]Trung Pham, Mehran Maghoumi, Wanli Jiang, Bala Siva Sashank Jujjavarapu, Mehdi Sajjadi, Xin Liu, Hsuan-Chu Lin, Bor-Jeng Chen, Giang Truong, Chao Fang, Junghyun Kwon, Minwoo Park:
NVAutoNet: Fast and Accurate 360° 3D Visual Perception For Self Driving. WACV 2024: 7361-7370 - [i20]Yuhao Ji, Chao Fang, Zhongfeng Wang:
BETA: Binarized Energy-Efficient Transformer Accelerator at the Edge. CoRR abs/2401.11851 (2024) - [i19]Chuanning Wang, Chao Fang, Xiao Wu, Zhongfeng Wang, Jun Lin:
A Scalable RISC-V Vector Processor Enabling Efficient Multi-Precision DNN Inference. CoRR abs/2401.16872 (2024) - [i18]Yuhao Ji, Chao Fang, Shaobo Ma, Haikuo Shao, Zhongfeng Wang:
Co-Designing Binarized Transformer and Hardware Accelerator for Efficient End-to-End Edge Deployment. CoRR abs/2407.12070 (2024) - [i17]Chuanning Wang, Chao Fang, Xiao Wu, Zhongfeng Wang, Jun Lin:
SPEED: A Scalable RISC-V Vector Processor Enabling Efficient Multi-Precision DNN Inference. CoRR abs/2409.14017 (2024) - 2023
- [j42]Pengfei Gao, Haonan Zhao, Zheng Luo, Yifan Lin, Wanjie Feng, Yaling Li, Fanjiang Kong, Xia Li, Chao Fang, Xutong Wang:
SoyDNGP: a web-accessible deep learning framework for genomic prediction in soybean breeding. Briefings Bioinform. 24(6) (2023) - [j41]Xin Feng, Chao Fang, Guohang Qiu:
Multimodal medical image fusion based on visual saliency map and multichannel dynamic threshold neural P systems in sub-window variance filter domain. Biomed. Signal Process. Control. 84: 104794 (2023) - [j40]Jiaxin Wu, Xiaopeng Wang, Tongyi Wei, Chao Fang:
Full-parameter adaptive fuzzy clustering for noise image segmentation based on non-local and local spatial information. Comput. Vis. Image Underst. 235: 103765 (2023) - [j39]Chao Fang, Xiaopeng Wang, Qingsheng Wang:
Adaptive morphology structural element construction algorithm based on local pixel density and symmetry. Multim. Tools Appl. 82(1): 195-215 (2023) - [c25]Mengdi Xu, Peide Huang, Yaru Niu, Visak Kumar, Jielin Qiu, Chao Fang, Kuan-Hui Lee, Xuewei Qi, Henry Lam, Bo Li, Ding Zhao:
Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables. AISTATS 2023: 2677-2703 - [c24]Chao Fang, Wei Sun, Aojun Zhou, Zhongfeng Wang:
CEST: Computation-Efficient N:M Sparse Training for Deep Neural Networks. DATE 2023: 1-2 - [c23]Jiayi Tian, Chao Fang, Haonan Wang, Zhongfeng Wang:
Bebert: Efficient And Robust Binary Ensemble Bert. ICASSP 2023: 1-5 - [c22]Bin Huang, Chao Fang:
Skin lesion region segmentation model based on improved U2Net. ISAIMS 2023: 700-705 - [c21]Qiong Li, Chao Fang, Zhongfeng Wang:
PDPU: An Open-Source Posit Dot-Product Unit for Deep Learning Applications. ISCAS 2023: 1-5 - [i16]Qiong Li, Chao Fang, Zhongfeng Wang:
PDPU: An Open-Source Posit Dot-Product Unit for Deep Learning Applications. CoRR abs/2302.01876 (2023) - [i15]Trung Pham, Mehran Maghoumi, Wanli Jiang, Bala Siva Sashank Jujjavarapu, Mehdi Sajjadi, Xin Liu, Hsuan-Chu Lin, Bor-Jeng Chen, Giang Truong, Chao Fang, Junghyun Kwon, Minwoo Park:
NVAutoNet: Fast and Accurate 360° 3D Visual Perception For Self Driving. CoRR abs/2303.12976 (2023) - [i14]Na Zhang, Kun Yue, Chao Fang:
A Game-Theoretic Framework for AI Governance. CoRR abs/2305.14865 (2023) - [i13]Longwei Huang, Chao Fang, Qiong Li, Jun Lin, Zhongfeng Wang:
A Precision-Scalable RISC-V DNN Processor with On-Device Learning Capability at the Extreme Edge. CoRR abs/2309.08186 (2023) - [i12]Chao Fang, Wei Sun, Aojun Zhou, Zhongfeng Wang:
Efficient N: M Sparse DNN Training Using Algorithm, Architecture, and Dataflow Co-Design. CoRR abs/2309.13015 (2023) - [i11]Yihan He, Sheng Luo, Chao Fang, Gengchiau Liang:
Ground-State Probabilistic Logic with the Simplest Binary Energy Landscape for Probabilistic Computing. CoRR abs/2311.00410 (2023) - 2022
- [j38]Jinyong Shangguan, Ming Yue, Huanyu Qi, Chao Fang:
Coordinated control of path tracking and energy optimization for in-wheel motor drive electric buses with velocity estimation. Eur. J. Control 65: 100641 (2022) - [j37]Yu Yang, Jun Lin, Yelin Fu, George Q. Huang, Weihao Huang, Chao Fang:
Tolerance framework for robust group multiple criteria decision making. Expert Syst. Appl. 208: 118208 (2022) - [j36]Zhiyang Jin, Chao Fang, Jingjin Wu, Jinsong Li, Wenqian Zeng, Xiaokang Zhao:
Remaining useful life prediction for lithium-ion battery using a data-driven method. Int. J. Wirel. Mob. Comput. 23(3/4): 239-249 (2022) - [j35]Shan Liu, Shiqian Guan, Qing Zhu, Chao Fang:
Effects of governance on crowdsourcer satisfaction in crowdsourcing: moderating roles of task and environment complexities. Ind. Manag. Data Syst. 122(4): 1002-1024 (2022) - [j34]Pengfei Liu, Yang Liu, Xiangming Wang, Chao Fang, Xiaohong Guan, Ting Liu:
Channel-State-Based Fingerprinting Against Physical Access Attack in Industrial Field Bus Network. IEEE Internet Things J. 9(12): 9557-9573 (2022) - [j33]Shanshan Xu, You Li, Donghan Wang, Chao Fang, Chengwei Luo, Jiankun Deng, LiHong Hu, Hui Li, Hongzhi Li:
Efficient prediction for high precision CO-N2 potential energy surface by stacking ensemble DNN. J. Comput. Chem. 43(4): 244-254 (2022) - [j32]Jun Su, Chao Fang, Xinglong Zhu, Zhi Li, Meng Sun, Jiaying Chen:
Lifetime evaluation and extension of wind turbines based on big data. J. Comput. Methods Sci. Eng. 22(6): 1865-1873 (2022) - [j31]Chao Fang, Xin Feng, Haifeng Gong, Xicheng Lou:
Infrared and Visible Image Fusion in a Multilevel Low-Rank Decomposition Framework Based on Guided Filtering and Feature Extraction ∗. J. Sensors 2022: 1-24 (2022) - [j30]Wei Wang, Chao Fang, Yan Wang, Jin Li:
Reliability Modeling and Optimization of Circular Multi-State Sliding Time Window System with Sequential Demands. Reliab. Eng. Syst. Saf. 225: 108616 (2022) - [j29]Wei Wang, Chao Fang, Ting Liu:
Multiperiod Unmanned Aerial Vehicles Path Planning With Dynamic Emergency Priorities for Geohazards Monitoring. IEEE Trans. Ind. Informatics 18(12): 8851-8859 (2022) - [j28]Chao Fang, Aojun Zhou, Zhongfeng Wang:
An Algorithm-Hardware Co-Optimized Framework for Accelerating N: M Sparse Transformers. IEEE Trans. Very Large Scale Integr. Syst. 30(11): 1573-1586 (2022) - [c20]Huanyu Qi, Jinyong Shangguan, Chao Fang, Ming Yue:
Path Tracking Control of Car-like Wheeled Mobile Robot on the Slope based on Nonlinear Model Predictive Control. ICARM 2022: 465-470 - [c19]Zhen Yu, Mingce Wang, Yinguo Yang, Shuangxi Wu, Qiuyu Lu, Yu Zhu, Yang Liu, Wei Wang, Chao Fang:
A Data-driven Framework of Resilience Evaluation for Power Systems under Typhoon Disasters. IEEM 2022: 1043-1047 - [c18]Chao Fang, Shouliang Guo, Wei Wu, Jun Lin, Zhongfeng Wang, Ming Kai Hsu, Lingzhi Liu:
An Efficient Hardware Accelerator for Sparse Transformer Neural Networks. ISCAS 2022: 2670-2674 - [c17]Leon Riesebos, Brad Bondurant, Jacob Whitlow, Junki Kim, Mark Kuzyk, Tianyi Chen, Samuel Phiri, Ye Wang, Chao Fang, Andrew Van Horn, Jungsang Kim, Kenneth R. Brown:
Modular software for real-time quantum control systems. QCE 2022: 545-555 - [i10]Chao Fang, Aojun Zhou, Zhongfeng Wang:
An Algorithm-Hardware Co-Optimized Framework for Accelerating N: M Sparse Transformers. CoRR abs/2208.06118 (2022) - [i9]Mengdi Xu, Peide Huang, Yaru Niu, Visak Kumar, Jielin Qiu, Chao Fang, Kuan-Hui Lee, Xuewei Qi, Henry Lam, Bo Li, Ding Zhao:
Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables. CoRR abs/2210.12262 (2022) - [i8]Leon Riesebos, Brad Bondurant, Jacob Whitlow, Junki Kim, Mark Kuzyk, Tianyi Chen, Samuel Phiri, Ye Wang, Chao Fang, Andrew Van Horn, Jungsang Kim, Kenneth R. Brown:
Modular Software for Real-Time Quantum Control Systems. CoRR abs/2210.14341 (2022) - [i7]Jiayi Tian, Chao Fang, Haonan Wang, Zhongfeng Wang:
BEBERT: Efficient and robust binary ensemble BERT. CoRR abs/2210.15976 (2022) - 2021
- [j27]Xin Feng, Chao Fang, Xicheng Lou, Kaiqun Hu:
Research on Infrared and Visible Image Fusion Based on Tetrolet Transform and Convolution Sparse Representation. IEEE Access 9: 23498-23510 (2021) - [j26]Qingsheng Wang, Xiaopeng Wang, Chao Fang, Jianjun Jiao:
Fuzzy image clustering incorporating local and region-level information with median memberships. Appl. Soft Comput. 105: 107245 (2021) - [j25]Chao Fang, Dong Xu, Jing Su, Jonathan R. Dry, Bolan Linghu:
DeePaN: deep patient graph convolutional network integrating clinico-genomic evidence to stratify lung cancers for immunotherapy. npj Digit. Medicine 4 (2021) - [j24]Wei Wang, Chao Fang, Shan Liu, Yisha Xiang:
Reliability analysis and optimization of multi-state sliding window system with sequential demands and time constraints. Reliab. Eng. Syst. Saf. 208: 107449 (2021) - [j23]Jinming Lu, Chao Fang, Mingyang Xu, Jun Lin, Zhongfeng Wang:
Evaluations on Deep Neural Networks Training Using Posit Number System. IEEE Trans. Computers 70(2): 174-187 (2021) - [j22]Yi-Ping Fang, Chao Fang, Enrico Zio, Min Xie:
Resilient Critical Infrastructure Planning Under Disruptions Considering Recovery Scheduling. IEEE Trans. Engineering Management 68(2): 452-466 (2021) - [c16]Chao Fang, Lei Liu:
Research on Autonomous Vehicle Delivery System Based on Service Design Theory. HCI (43) 2021: 246-260 - [c15]Chao Fang, Liulu He, Haonan Wang, Jinghe Wei, Zhongfeng Wang:
Accelerating 3D Convolutional Neural Networks Using 3D Fast Fourier Transform. ISCAS 2021: 1-5 - 2020
- [j21]Chao Fang, Xiaopeng Wang, Qingsheng Wang, Jin-Cheng Liang:
Construction Algorithm for Adaptive Morphological Structuring Elements Based on the Neighborhood Gray Difference Changing Vector Field and Relative Density. IEEE Access 8: 54928-54939 (2020) - [j20]Qingsheng Wang, Xiaopeng Wang, Chao Fang, Wenting Yang:
Robust fuzzy c-means clustering algorithm with adaptive spatial & intensity constraint and membership linking for noise image segmentation. Appl. Soft Comput. 92: 106318 (2020) - [j19]Chao Fang, Zhaoyu Li, Dong Xu, Yi Shang:
MUFold-SSW: a new web server for predicting protein secondary structures, torsion angles and turns. Bioinform. 36(4): 1293-1295 (2020) - [j18]Chao Fang, Amin Barzeger, Helmut G. Katzgraber:
Machine learning in physics: the pitfalls of poisoned training sets. Mach. Learn. Sci. Technol. 1(4): 45001 (2020) - [j17]Zheng Zhu, Chao Fang, Helmut G. Katzgraber:
borealis - A generalized global update algorithm for Boolean optimization problems. Optim. Lett. 14(8): 2495-2514 (2020) - [j16]Shan Liu, Wenyi Xiao, Chao Fang, Xing Zhang, Jiabao Lin:
Social support, belongingness, and value co-creation behaviors in online health communities. Telematics Informatics 50: 101398 (2020) - [c14]Rui Hou, Jie Li, Arjun Bhargava, Allan Raventos, Vitor Guizilini, Chao Fang, Jerome P. Lynch, Adrien Gaidon:
Real-Time Panoptic Segmentation From Dense Detections. CVPR 2020: 8520-8529 - [c13]Chao Fang, Yutao Hu, Baochang Zhang, David S. Doermann:
The Fusion of Neural Architecture Search and Destruction and Construction Learning - First Classified. ICPR Workshops (8) 2020: 480-489 - [c12]Kuan-Hui Lee, Matthew Kliemann, Adrien Gaidon, Jie Li, Chao Fang, Sudeep Pillai, Wolfram Burgard:
PillarFlow: End-to-end Birds-eye-view Flow Estimation for Autonomous Driving. IROS 2020: 2007-2013 - [c11]Shouliang Guo, Chao Fang, Jun Lin, Zhongfeng Wang:
A Configurable FPGA Accelerator of Bi-LSTM Inference with Structured Sparsity. SoCC 2020: 174-179 - [i6]Kuan-Hui Lee, Matthew Kliemann, Adrien Gaidon, Jie Li, Chao Fang, Sudeep Pillai, Wolfram Burgard:
PillarFlow: End-to-end Birds-eye-view Flow Estimation for Autonomous Driving. CoRR abs/2008.01179 (2020)
2010 – 2019
- 2019
- [j15]Jingxia Cui, Wenze Li, Chao Fang, Shunting Su, Jiaoyang Luan, Ting Gao, Li Hong Hu, Yinghua Lu, Guanhua Chen:
AdaBoost Ensemble Correction Models for TDDFT Calculated Absorption Energies. IEEE Access 7: 38397-38406 (2019) - [j14]Yupeng Li, Ya Zhao, Zhi Wang, Chao Fang, Wei Sha:
Precision Measurement Method of Laser Beams Based on Coordinate Measuring Machine. IEEE Access 7: 112736-112741 (2019) - [j13]Ting Gao, Lina Hu, Zhizhen Jia, Tianna Xia, Chao Fang, Hongzhi Li, Li Hong Hu, Yinghua Lu, Hui Li:
SPXYE: an improved method for partitioning training and validation sets. Clust. Comput. 22(Supplement): 3069-3078 (2019) - [j12]Wenze Li, Wei Miao, Jingxia Cui, Chao Fang, Shunting Su, Hongzhi Li, Li Hong Hu, Yinghua Lu, Guanhua Chen:
Efficient Corrections for DFT Noncovalent Interactions Based on Ensemble Learning Models. J. Chem. Inf. Model. 59(5): 1849-1857 (2019) - [j11]Chao Fang, Yi Shang, Dong Xu:
Prediction of Protein Backbone Torsion Angles Using Deep Residual Inception Neural Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 16(3): 1020-1028 (2019) - [c10]Chao Fang, Lusheng Wang, Hai Lin, Min Peng:
A Generic Polynomial-Time Cell Association Scheme in Ultra-Dense Cellular Networks. ChinaCom (1) 2019: 417-432 - [c9]Jinming Lu, Siyuan Lu, Zhisheng Wang, Chao Fang, Jun Lin, Zhongfeng Wang, Li Du:
Training Deep Neural Networks Using Posit Number System. SoCC 2019: 62-67 - [i5]Jinming Lu, Siyuan Lu, Zhisheng Wang, Chao Fang, Jun Lin, Zhongfeng Wang, Li Du:
Training Deep Neural Networks Using Posit Number System. CoRR abs/1909.03831 (2019) - [i4]Rui Hou, Jie Li, Arjun Bhargava, Allan Raventos, Vitor Guizilini, Chao Fang, Jerome P. Lynch, Adrien Gaidon:
Real-Time Panoptic Segmentation from Dense Detections. CoRR abs/1912.01202 (2019) - 2018
- [j10]Hui Li, Yanying Cui, Yunlong Liu, Wenze Li, Yue Shi, Chao Fang, Hongzhi Li, Ting Gao, Li Hong Hu, Yinghua Lu:
Ensemble Learning for Overall Power Conversion Efficiency of the All-Organic Dye-Sensitized Solar Cells. IEEE Access 6: 34118-34126 (2018) - [j9]Tong An, Chao Fang, Fei Qin, Huaicheng Li, Tao Tang, Pei Chen:
Failure study of Sn37Pb PBGA solder joints using temperature cycling, random vibration and combined temperature cycling and random vibration tests. Microelectron. Reliab. 91: 213-226 (2018) - [i3]Chao Fang, Zheng Zhu, Helmut G. Katzgraber:
NAE-SAT-based probabilistic membership filters. CoRR abs/1801.06232 (2018) - 2017
- [j8]Chao Fang, Franck Marle, Min Xie:
Applying Importance Measures to Risk Analysis in Engineering Project Using a Risk Network Model. IEEE Syst. J. 11(3): 1548-1556 (2017) - [c8]Chao Fang, Yi Shang, Dong Xu:
A New Deep Neighbor Residual Network for Protein Secondary Structure Prediction. ICTAI 2017: 66-71 - [i2]Chao Fang, Yi Shang, Dong Xu:
MUFold-SS: Protein Secondary Structure Prediction Using Deep Inception-Inside-Inception Networks. CoRR abs/1709.06165 (2017) - 2016
- [j7]Boyi Hou, Zhuo Wang, Qun Chen, Bo Suo, Chao Fang, Zhanhuai Li, Zachary G. Ives:
Efficient Maximal Clique Enumeration Over Graph Data. Data Sci. Eng. 1(4): 219-230 (2016) - [j6]Ting Gao, Hong-Zhi Li, Wenze Li, Lin Li, Chao Fang, Hui Li, Li Hong Hu, Yinghua Lu, Zhongmin Su:
A machine learning correction for DFT non-covalent interactions based on the S22, S66 and X40 benchmark databases. J. Cheminformatics 8(1): 24:1-24:17 (2016) - [c7]Qun Chen, Chao Fang, Zhuo Wang, Bo Suo, Zhanhuai Li, Zachary G. Ives:
Parallelizing Maximal Clique Enumeration Over Graph Data. DASFAA (2) 2016: 249-264 - [i1]Zheng Zhu, Chao Fang, Helmut G. Katzgraber:
borealis - A generalized global update algorithm for Boolean optimization problems. CoRR abs/1605.09399 (2016) - 2015
- [c6]Meng-Xuan Cui, Chao Fang:
A hybrid DEA-ANP method for measuring complexity in engineering projects. IEEM 2015: 1287-1291 - [c5]Xiangxiang Liao, Chao Fang:
Selection of supplier portfolio in the presence of operational risk and disruption risk. IEEM 2015: 1825-1829 - [c4]Xin Li, Chao Fang:
A New Process Meta-model for Convenient Process Reconfiguration. ISICA 2015: 584-595 - 2013
- [j5]Chao Fang, Franck Marle, Min Xie, Enrico Zio:
An Integrated Framework for Risk Response Planning Under Resource Constraints in Large Engineering Projects. IEEE Trans. Engineering Management 60(3): 627-639 (2013) - 2012
- [j4]Guangyu Cui, Chao Fang, Kyungsook Han:
Prediction of protein-protein interactions between viruses and human by an SVM model. BMC Bioinform. 13(S-7): S5 (2012) - [j3]Chao Fang, Franck Marle:
A simulation-based risk network model for decision support in project risk management. Decis. Support Syst. 52(3): 635-644 (2012) - [j2]Chao Fang, Franck Marle, Enrico Zio, Jean-Claude Bocquet:
Network theory-based analysis of risk interactions in large engineering projects. Reliab. Eng. Syst. Saf. 106: 1-10 (2012) - 2011
- [j1]Chao Fang, Chongjun Yang, Zhuo Chen, Xiaojing Yao, Hantao Guo:
Parallel algorithm for viewshed analysis on a modern GPU. Int. J. Digit. Earth 4(6): 471-486 (2011) - [c3]Guangyu Cui, Chao Fang, Kyungsook Han:
Prediction of Human Proteins Interacting with Human Papillomavirus Proteins. ICIC (3) 2011: 492-497 - 2010
- [c2]Guolin Wang, Hanwen Gao, Qin Li, Chao Fang:
Surface Deformations Measurement Based on Computer Vision Technique. MVHI 2010: 191-194
2000 – 2009
- 2007
- [c1]Jisu Jiang, Choi L. Law, Chao Fang:
A Novel 3-5GHz Distributed Amplifier Structure Based Matched Filter for UWB Receiver. FGCN (2) 2007: 252-257
Coauthor Index
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