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ORCIDJie Yang 0033
Person information
- affiliation: Westlake University, Hangzhou, China
- affiliation (former): University of Calgary, AB, Canada
- affiliation (PhD 2015): Chinese Academy of Sciences, Institute of Semiconductors, Beijing, China
Other persons with the same name
- Jie Yang — disambiguation page
- Jie Yang 0001 — Carnegie Mellon University, Pittsburgh, PA, USA
- Jie Yang 0002
![[0000-0003-4801-7162]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-4801-7162")
— Shanghai Jiao Tong University, Institute of Image Processing and Pattern Recognition, China (and 1 more) - Jie Yang 0003 — Florida State University, Tallahassee, FL, USA (and 1 more)
- Jie Yang 0004 — University of Science and Technology of China, Department of Precision Machinery and Precision Instrumentation, Hefei, China
- Jie Yang 0005 — University of Massachusetts (and 1 more)
- Jie Yang 0006 — Ishizuka Lab, Tokyo University (and 1 more)
- Jie Yang 0007 — Dalian University of Technology, School of Mathematical Sciences, China
- Jie Yang 0008 — Cisco Systems (and 1 more)
- Jie Yang 0009 (aka: Jie (Jack) Yang) — University of Wollongong, SMART Infrastructure Facility, NSW, Australia
- Jie Yang 0010 — Advanced Micro Devices (and 1 more)
- Jie Yang 0011 — Xidian University, Key Lab of Intelligent Perception and Image Understanding of Ministry of Education of China, China
- Jie Yang 0012 — University of Houston-Victoria (and 1 more)
- Jie Yang 0013 — Syracuse University
- Jie Yang 0014 — IBM China Research Lab (and 1 more)
- Jie Yang 0015 — Yahoo! Labs (and 1 more)
- Jie Yang 0016 — South China University of Technology
- Jie Yang 0017 — Huazhong University of Science and Technology
- Jie Yang 0018 — Beijing Institute of Technology
- Jie Yang 0019 — Shanghai Second Polytechnic University
- Jie Yang 0020 — School of Business, Sun Yat-sen University
- Jie Yang 0021 — Wichita State University
- Jie Yang 0022 — Wuhan University of Technology, Key Laboratory of Fiber Optic Sensing Technology and Information Processing
- Jie Yang 0023 — Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, Research Center of Network Monitoring and Analysis, Beijing Laboratory of Advanced Information Networks / Beijing Key Laboratory of Network System, Architecture and Convergence, China
- Jie Yang 0024 — Yanshan University, School of Electrical Engineering, Qinhuangdao, Hebei, China (and 1 more)
- Jie Yang 0025 — Southeast University, Development Research Center of Transportation Governed by Law, Nanjing, China
- Jie Yang 0026 — Jiangxi University of Science and Technology, Ganzhou, China (and 1 more)
- Jie Yang 0027 — Nanjing University of Posts and Telecommunications, College of Telecommunications and Information Engineering, China
- Jie Yang 0028 — Delft University of Technology, The Netherlands (and 3 more)
- Jie Yang 0029 — Hunan University, College of Computer Science and Electronic Engineering, China
- Jie Yang 0030 — Temple University, School of Dentistry, Division of Oral and Maxillofacial Radiology, Philadelphia, USA
- Jie Yang 0031 — Anhui University, School of Physics & Material Science, Hefei, China
- Jie Yang 0032 — Xidian University, Institute of Intelligent Information Processing, Xi'an, China
- Jie Yang 0034 — Zhejiang A & F University, Jiyang College, Zhuji, China (and 1 more)
- Jie Yang 0035 — Southeast University, National Mobile Communications Research Laboratory, Nanjing, China
- Jie Yang 0036 — RMIT University, School of Aerospace, Mechanical and Manufacturing Engineering, Melbourne, VIC, Australia
- Jie Yang 0037 — North University of China, Shanxi Provincial Key Laboratory for Biomedical Imaging and Big Data, Taiyuan, China
- Jie Yang 0038 — Institute of Computing Technolgy, Chinese Academy of Sciences, Beijing, China (and 1 more)
- Jie Yang 0039 — Harvard University, Harvard Medical School, USA (and 1 more)
- Jie Yang 0040 — Wuhan University, LIESMARS, China
- Jie Yang 0041 — Columbia University, Department of Biomedical Engineering, NY, USA
- Jie Yang 0042 — Nanjing Institute of Technology, School of Communication Engineering, China
- Jie Yang 0043 — Xi'an University of Technology, Institute of Water Resources and Hydro-Electric Engineering, China
- Jie Yang 0044 — Chongqing University, College of Computer Science, China
- Jie Yang 0045 — Northwestern University, Department of Civil and Environmental Engineering, Evanston, IL, USA
- Jie Yang 0046 — Northeastern University, State Key Laboratory of Synthetical Automation for Process Industries, Shenyang, China
- Jie Yang 0047 — Fujian Agriculture and Forestry University, College of Management, Fuzhou, China (and 1 more)
- Jie Yang 0048 — Hangzhou Dianzi University, Management School, China (and 3 more)
- Jie Yang 0049 — Chongqing University of Technology, College of Mechanical Engineering, China (and 1 more)
- Jie Yang 0050 — Nanjing University of Posts and Telecommunications, College of Electronic and Optical Engineering, China
- Jie Yang 0051 — Hangzhou Dianzi University, Key Lab for IOT and Information Fusion Technology of Zhejiang, China (and 1 more)
- Jie Yang 0052 — Zunyi Normal University, School of Physics and Electronic Science, China (and 1 more)
- Jie Yang 0053 — PLA Strategy Support Force Information Engineering University, School of Information Systems Engineering, Zhengzhou, China
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2020 – today
- 2024
[j22]Yankun Xu, Jie Yang, Wenjie Ming, Shuang Wang, Mohamad Sawan:
Shorter latency of real-time epileptic seizure detection via probabilistic prediction. Expert Syst. Appl. 236: 121359 (2024)- [j21]Shiqi Zhao, Chuanqing Wang, Chaoming Fang, Fengshi Tian, Jie Yang, Mohamad Sawan:
HybMED: A Hybrid Neural Network Training Processor With Multi-Sparsity Exploitation for Internet of Medical Things. IEEE Trans. Biomed. Circuits Syst. 18(5): 1178-1189 (2024) - [c43]Ziyang Shen, Xiaoxu Xie, Chaoming Fang, Fengshi Tian, Shunli Ma, Jie Yang, Mohamad Sawan:
NeuroSORT: A Neuromorphic Accelerator for Spike-based Online and Real-time Tracking. AICAS 2024: 312-316 - [c42]Jinbo Chen, Hui Wu, Razieh Eskandari, Xing Liu, Siyu Lin, Qiming Hou, Fengshi Tian, Wenjun Zou, Jie Yang, Mohamad Sawan:
A Neuron-Inspired 0.0032mm2-1.38μW/Ch Wireless Implantable Neural Interface with Direct Multiplexing Front-End and Event-Driven Spike Detection and Transmission. CICC 2024: 1-2 - [c41]Chaoming Fang, Ziyang Shen, Shiqi Zhao, Chuanqing Wang, Fengshi Tian, Jie Yang, Mohamad Sawan:
A 0.078 pJ/SOP Unstructured Sparsity-Aware Spiking Attention/Convolution Processor with 3D Compute Array. CICC 2024: 1-2 - [c40]Chuanqing Wang, Di Wu, Chaoming Fang, Jie Yang, Mohamad Sawan:
Exploring Effective Stimulus Encoding via Vision System Modeling for Visual Prostheses. ICLR 2024 - [c39]Jinbo Chen, Hui Wu, Fengshi Tian, Qiming Hou, Siyu Lin, Jie Yang, Mohamad Sawan:
A Low-Power Level-Crossing Analog-to-Spike Converter Intended for Neuromorphic Biomedical Applications. ISCAS 2024: 1-5 - [c38]Chaoming Fang, Fengshi Tian, Jie Yang, Mohamad Sawan:
Accelerating BPTT-Based SNN Training with Sparsity-Aware and Pipelined Architecture. ISCAS 2024: 1-5 - [c37]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 - 2023
- [j20]Chuanqing Wang, Chaoming Fang, Yong Zou, Jie Yang, Mohamad Sawan:
SpikeSEE: An energy-efficient dynamic scenes processing framework for retinal prostheses. Neural Networks 164: 357-368 (2023) - [j19]Fen Xia, Hanrui Li, Yixi Li, Xing Liu, Yankun Xu, Chaoming Fang, Qiming Hou, Siyu Lin, Zhao Zhang, Jie Yang, Mohamad Sawan:
Minimally Invasive Hypoglossal Nerve Stimulator Enabled by ECG Sensor and WPT to Manage Obstructive Sleep Apnea. Sensors 23(21): 8882 (2023) - [j18]Di Wu, Shiqi Zhao, Jie Yang, Mohamad Sawan:
Software-Hardware Co-Design for Energy-Efficient Continuous Health Monitoring via Task-Aware Compression. IEEE Trans. Biomed. Circuits Syst. 17(2): 180-191 (2023) - [j17]Chaoming Fang, Chuanqing Wang, Shiqi Zhao, Fengshi Tian, Jie Yang, Mohamad Sawan:
A 510 $\mu$W 0.738-mm$^{2}$ 6.2-pJ/SOP Online Learning Multi-Topology SNN Processor With Unified Computation Engine in 40-nm CMOS. IEEE Trans. Biomed. Circuits Syst. 17(3): 507-520 (2023) - [j16]Shiqi Zhao, Jie Yang, Junzhe Wang, Chaoming Fang, Tengjun Liu, Shaomin Zhang, Mohamad Sawan:
A 0.99-to-4.38 uJ/class Event-Driven Hybrid Neural Network Processor for Full-Spectrum Neural Signal Analyses. IEEE Trans. Biomed. Circuits Syst. 17(3): 598-609 (2023) - [j15]Hui Wu, Jinbo Chen, Xing Liu, Wenjun Zou, Jie Yang, Mohamad Sawan:
An Energy-Efficient Small-Area Configurable Analog Front-End Interface for Diverse Biosignals Recording. IEEE Trans. Biomed. Circuits Syst. 17(4): 818-830 (2023) - [c36]Jinbo Chen, Hui Wu, Xing Liu, Razieh Eskandari, Fengshi Tian, Wenjun Zou, Chaoming Fang, Jie Yang, Mohamad Sawan:
NeuroBMI: A New Neuromorphic Implantable Wireless Brain Machine Interface with A 0.48 µW Event-Driven Noise-Tolerant Spike Detector. AICAS 2023: 1-5 - [c35]Jingyu He, Ziyang Shen, Fengshi Tian, Jinbo Chen, Jie Yang, Mohamad Sawan, Hsiang-Ting Chen, Paul Bogdan, Chi-Ying Tsui:
SNNOpt: An Application-Specific Design Framework for Spiking Neural Networks. AICAS 2023: 1-5 - [c34]Hanrui Li, Aijaz H. Lone, Fengshi Tian, Jie Yang, Mohamad Sawan, Nazek El-Atab:
Novel Knowledge Distillation to Improve Training Accuracy of Spin-based SNN. AICAS 2023: 1-5 - [c33]Ziyang Shen, Chaoming Fang, Fengshi Tian, Jie Yang, Mohamad Sawan:
PN-TMS: Pruned Node-fusion Tree-based Multicast Scheme for Efficient Neuromorphic Systems. AICAS 2023: 1-5 - [c32]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 - [c31]Junzhe Wang, Shiqi Zhao, Chaoming Fang, Jie Yang, Mohamad Sawan:
Live Demonstration: Real-time Analyses of Biosignals based on a Dedicated CMOS Configurable Deep Learning Engine. AICAS 2023: 1-2 - [c30]Jinbo Chen, Xing Liu, Hui Wu, Fengshi Tian, Wenjun Zou, Mostafa Katebi, Razieh Eskandari, Jie Yang, Mohamad Sawan:
A Clockless Robust Bionic Spike Detector for Implantable Brain-Computer Interfaces. BioCAS 2023: 1-5 - [c29]Hanrui Li, Fengshi Tian, Jie Yang, Mohamad Sawan, Nazek El-Atab:
NMBNN: Noise-Adaptive Memristive Bayesian Neural Network for Energy-Efficient Edge Health Care. BioCAS 2023: 1-5 - [c28]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 - [c27]Di Wu, Jie Yang, Mohamad Sawan:
Task-aware Compression for Wearable Sensor Data. BioCAS 2023: 1-5 - [c26]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 - [c25]Ziyang Shen, Fengshi Tian, Jingwen Jiang, Chaoming Fang, Xiaoyong Xue, Jie Yang, Mohamad Sawan:
NBSSN: A Neuromorphic Binary Single-Spike Neural Network for Efficient Edge Intelligence. ISCAS 2023: 1-5 - [i18]Yankun Xu, Jie Yang, Wenjie Ming, Shuang Wang, Mohamad Sawan:
Deep Learning for Short-Latency Epileptic Seizure Detection with Probabilistic Classification. CoRR abs/2301.03465 (2023) - [i17]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) - [i16]Yankun Xu, Jie Yang, Wenjie Ming, Shuang Wang, Mohamad Sawan:
READS-V: Real-time Automated Detection of Epileptic Seizures from Surveillance Videos via Skeleton-based Spatiotemporal ViG. CoRR abs/2311.14775 (2023) - 2022
- [j14]Shiqi Zhao, Jie Yang, Mohamad Sawan:
Energy-Efficient Neural Network for Epileptic Seizure Prediction. IEEE Trans. Biomed. Eng. 69(1): 401-411 (2022) - [j13]Yankun Xu, Jie Yang, Mohamad Sawan:
Multichannel Synthetic Preictal EEG Signals to Enhance the Prediction of Epileptic Seizures. IEEE Trans. Biomed. Eng. 69(11): 3516-3525 (2022) - [j12]Shiqi Zhao, Chaoming Fang, Jie Yang, Mohamad Sawan:
Emerging Energy-Efficient Biosignal-Dedicated Circuit Techniques: A Tutorial Brief. IEEE Trans. Circuits Syst. II Express Briefs 69(6): 2592-2597 (2022) - [j11]Jinbo Chen, Mahdi Tarkhan, Hui Wu, Fereidoon Hashemi Noshahr, Jie Yang, Mohamad Sawan:
Recent Trends and Future Prospects of Neural Recording Circuits and Systems: A Tutorial Brief. IEEE Trans. Circuits Syst. II Express Briefs 69(6): 2654-2660 (2022) - [j10]Chuanqing Wang, Jie Yang, Mohamad Sawan:
NeuroSEE: A Neuromorphic Energy-Efficient Processing Framework for Visual Prostheses. IEEE J. Biomed. Health Informatics 26(8): 4132-4141 (2022) - [j9]Yankun Xu, Jie Yang, Mohamad Sawan:
Trends and Challenges of Processing Measurements from Wearable Devices Intended for Epileptic Seizure Prediction. J. Signal Process. Syst. 94(6): 527-542 (2022) - [c24]Jie Yang, Ning Li, Yun-Hsuan Chen, Mohamad Sawan:
Towards Intelligent Noninvasive Closed-loop Neuromodulation Systems. AICAS 2022: 194-197 - [c23]Hanrui Li, Junzhe Wang, Shiqi Zhao, Fengshi Tian, Jie Yang, Mohamad Sawan:
Real-time Biosignal Recording and Machine-Learning Analysis System. AICAS 2022: 427-430 - [c22]Feng Xia, Zhaoyang Zhang, Jie Yang, Mohamad Sawan:
Compact Power Front-end Management for Wireless Supply of Multi-voltages to Neuromodulators. APCCAS 2022: 65-68 - [c21]Jinbo Chen, Hui Wu, Jie Yang, Mohamad Sawan:
A 97 fJ/Conversion Neuron-ADC with Reconfigurable Sampling and Static Power Reduction. APCCAS 2022: 73-76 - [c20]Hui Wu, Xing Liu, Jie Yang, Mohamad Sawan:
A Power-Efficient Source-Follower Based Tunable Pseudo-RC Low-Pass Filter for Wearable Biomedical Applications. BioCAS 2022: 178-182 - [c19]Shiqi Zhao, Di Wu, Jie Yang, Mohamad Sawan:
A Resource-Efficient and Data-Restricted Training Method Towards Neurological Symptoms Prediction. BioCAS 2022: 615-619 - [c18]Chaoming Fang, Ziyang Shen, Fengshi Tian, Jie Yang, Mohamad Sawan:
A Compact Online-Learning Spiking Neuromorphic Biosignal Processor. ISCAS 2022: 2147-2151 - [c17]Di Wu, Jie Yang, Mohamad Sawan:
Towards Task-aware Signal Compression for Efficient Continuous Health Monitoring. ISCAS 2022: 2453-2457 - [c16]Jinbo Chen, Fengshi Tian, Jie Yang, Mohamad Sawan:
An Event-Driven Compressive Neuromorphic System for Cardiac Arrhythmia Detection. ISCAS 2022: 2690-2694 - [c15]Ning Li, Jie Yang, Mohamad Sawan:
Compact Closed-loop EEG/fNIRS Recording and TMS Neuromodulation System. NEWCAS 2022: 290-293 - [i15]Di Wu, Jie Yang, Mohamad Sawan:
Bridging the Gap Between Patient-specific and Patient-independent Seizure Prediction via Knowledge Distillation. CoRR abs/2202.12598 (2022) - [i14]Di Wu, Siyuan Li, Jie Yang, Mohamad Sawan:
neuro2vec: Masked Fourier Spectrum Prediction for Neurophysiological Representation Learning. CoRR abs/2204.12440 (2022) - [i13]Yankun Xu, Jie Yang, Mohamad Sawan:
Multichannel Synthetic Preictal EEG Signals to Enhance the Prediction of Epileptic Seizures. CoRR abs/2205.03239 (2022) - [i12]Shiqi Zhao, Jie Yang, Yankun Xu, Mohamad Sawan:
Binary Single-dimensional Convolutional Neural Network for Seizure Prediction. CoRR abs/2206.07518 (2022) - [i11]Chuanqing Wang, Chaoming Fang, Yong Zou, Jie Yang, Mohamad Sawan:
SpikeSEE: An Energy-Efficient Dynamic Scenes Processing Framework for Retinal Prostheses. CoRR abs/2209.07898 (2022) - [i10]Di Wu, Jie Yang, Mohamad Sawan:
Transfer Learning on Electromyography (EMG) Tasks: Approaches and Beyond. CoRR abs/2210.06295 (2022) - 2021
- [c14]Ziyu Wang, Jie Yang, Mohamad Sawan:
A Novel Multi-scale Dilated 3D CNN for Epileptic Seizure Prediction. AICAS 2021: 1-4 - [c13]Fengshi Tian, Jie Yang, Shiqi Zhao, Mohamad Sawan:
A New Neuromorphic Computing Approach for Epileptic Seizure Prediction. ISCAS 2021: 1-5 - [i9]Ziyi Liu, Jie Yang, Mengchen Lin, Kenneth Kam Fai Lai, Svetlana N. Yanushkevich, Orly Yadid-Pecht:
WDR FACE: The First Database for Studying Face Detection in Wide Dynamic Range. CoRR abs/2101.03826 (2021) - [i8]Jie Yang, Ziyi Liu, Mengchen Lin, Svetlana N. Yanushkevich, Orly Yadid-Pecht:
Deep Reformulated Laplacian Tone Mapping. CoRR abs/2102.00348 (2021) - [i7]Jie Yang, Ziyi Liu, Ulian Shahnovich, Orly Yadid-Pecht:
Tone Mapping Based on Multi-scale Histogram Synthesis. CoRR abs/2102.00408 (2021) - [i6]Jie Yang, Mengchen Lin, Ziyi Liu, Ulian Shahnovich, Orly Yadid-Pecht:
Mobile-end Tone Mapping based on Integral Image and Integral Histogram. CoRR abs/2102.01289 (2021) - [i5]Fengshi Tian, Jie Yang, Shiqi Zhao, Mohamad Sawan:
A New Neuromorphic Computing Approach for Epileptic Seizure Prediction. CoRR abs/2102.12773 (2021) - [i4]Ziyu Wang, Jie Yang, Mohamad Sawan:
A Novel Multi-scale Dilated 3D CNN for Epileptic Seizure Prediction. CoRR abs/2105.02823 (2021) - [i3]Ziyi Liu, Jie Yang, Orly Yadid-Pecht:
LightFuse: Lightweight CNN based Dual-exposure Fusion. CoRR abs/2107.02299 (2021) - [i2]Yankun Xu, Jie Yang, Shiqi Zhao, Hemmings Wu, Mohamad Sawan:
An End-to-End Deep Learning Approach for Epileptic Seizure Prediction. CoRR abs/2108.07453 (2021) - [i1]Di Wu, Yi Shi, Ziyu Wang, Jie Yang, Mohamad Sawan:
C2SP-Net: Joint Compression and Classification Network for Epilepsy Seizure Prediction. CoRR abs/2110.13674 (2021) - 2020
- [j8]Jie Yang, Mohamad Sawan:
From Seizure Detection to Smart and Fully Embedded Seizure Prediction Engine: A Review. IEEE Trans. Biomed. Circuits Syst. 14(5): 1008-1023 (2020) - [j7]Jie Yang, Ulian Shahnovich, Orly Yadid-Pecht:
Mantissa-Exponent-Based Tone Mapping for Wide Dynamic Range Image Sensors. IEEE Trans. Circuits Syst. II Express Briefs 67-II(1): 142-146 (2020) - [c12]Yankun Xu, Jie Yang, Shiqi Zhao, Hemmings Wu, Mohamad Sawan:
An End-to-End Deep Learning Approach for Epileptic Seizure Prediction. AICAS 2020: 266-270 - [c11]Shiqi Zhao, Jie Yang, Yankun Xu, Mohamad Sawan:
Binary Single-Dimensional Convolutional Neural Network for Seizure Prediction. ISCAS 2020: 1-5
2010 – 2019
- 2019
- [c10]Mengchen Lin, Jie Yang, Orly Yadid-Pecht:
Deep Single Image Enhancer. AVSS 2019: 1-7 - 2018
- [j6]Jie Yang, Yongxing Yang, Zhe Chen, Liyuan Liu, Jian Liu, Nanjian Wu:
A Heterogeneous Parallel Processor for High-Speed Vision Chip. IEEE Trans. Circuits Syst. Video Technol. 28(3): 746-758 (2018) - 2017
- [j5]Yongxing Yang, Jie Yang, Zhongxing Zhang, Liyuan Liu, Nanjian Wu:
High-speed visual target tracking with mixed rotation invariant description and skipping searching. Sci. China Inf. Sci. 60(6): 62401 (2017) - [j4]Yongxing Yang, Jie Yang, Liyuan Liu, Nanjian Wu:
High-Speed Target Tracking System Based on a Hierarchical Parallel Vision Processor and Gray-Level LBP Algorithm. IEEE Trans. Syst. Man Cybern. Syst. 47(6): 950-964 (2017) - [c9]Jie Yang, Alain Horé, Ulian Shahnovich, Kenneth Lai, Svetlana N. Yanushkevich, Orly Yadid-Pecht:
Multi-Scale histogram tone mapping algorithm enables better object detection in wide dynamic range images. AVSS 2017: 1-6 - [c8]Jie Yang, Alain Horé, Ulian Shahnovich, Orly Yadid-Pecht:
Multi-Scale histogram tone mapping algorithm for display of wide dynamic range images. CAMSAP 2017: 1-5 - 2015
- [c7]Honglong Li, Zhongxing Zhang, Jie Yang, Liyuan Liu, Nanjian Wu:
A novel vision chip architecture for image recognition based on convolutional neural network. ASICON 2015: 1-4 - [c6]Victor Nshunguyimfura, Jie Yang, Liyuan Liu, Nanjian Wu:
An efficient layered ABV methodology for vision system on chip based on heterogeneous parallel processors. ASICON 2015: 1-4 - [c5]Zhongxing Zhang, Jie Yang, Honglong Li, Liyuan Liu, Jian Liu, Nanjian Wu:
High-speed object detection based on a hierarchical parallel vision chip. ASICON 2015: 1-4 - [c4]Zhao-yang Liu, Liyuan Liu, Jie Yang, Nanjian Wu:
A fully-integrated 860-GHz CMOS terahertz sensor. A-SSCC 2015: 1-4 - 2014
- [j3]Cong Shi, Jie Yang, Nanjian Wu, ZhiHua Wang:
A high speed multi-level-parallel array processor for vision chips. Sci. China Inf. Sci. 57(6): 1-12 (2014) - [j2]Cong Shi, Jie Yang, Liyuan Liu, Nanjian Wu, ZhiHua Wang:
A massively parallel keypoint detection and description (MP-KDD) algorithm for high-speed vision chip. Sci. China Inf. Sci. 57(10): 1-12 (2014) - [j1]Cong Shi, Jie Yang, Ye Han, Zhongxiang Cao, Qi Qin, Liyuan Liu, Nanjian Wu, Zhihua Wang:
A 1000 fps Vision Chip Based on a Dynamically Reconfigurable Hybrid Architecture Comprising a PE Array Processor and Self-Organizing Map Neural Network. IEEE J. Solid State Circuits 49(9): 2067-2082 (2014) - [c3]Cong Shi, Jie Yang, Ye Han, Zhongxiang Cao, Qi Qin, Liyuan Liu, Nanjian Wu, Zhihua Wang:
7.3 A 1000fps vision chip based on a dynamically reconfigurable hybrid architecture comprising a PE array and self-organizing map neural network. ISSCC 2014: 128-129 - 2013
- [c2]Zhe Chen, Jie Yang, Cong Shi, Nanjian Wu:
A novel architecture of local memory for programmable SIMD vision chip. ASICON 2013: 1-4
2000 – 2009
- 2004
- [c1]Jie Yang, Zhaoyang Zhang, Zhen-zhou Tang:
On the performance of a novel multi-hop packet relaying ad hoc cellular system. PIMRC 2004: 648-652
Coauthor Index
[j22] [j21] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [j20] [j19] [j18] [j17] [j16] [j15] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [i18] [i17] [i16] [j14] [j13] [j12] [j11] [j10] [j9] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [i15] [i14] [i13] [i12] [i11] [i10] [c14] [c13] [i5] [i4] [i2] [i1] [j8] [c12] [c11]
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