Jieyun Bai > Curriculum Vitae

Curriculum Vitae of Jieyun Bai

November 12, 2021
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 Guangdong Cardiovascular Institute Tel: +86-020-83827812-10033
 Guangdong Provincial People’s Hospital xiao.wei.xu@foxmail.com
 106 Zhongshan 2nd RD, Guangzhou, China https://xiaoweixu.github.io/
   

RESEARCH INTERESTS

Artificial Intelligence in Medical Data: Medical Image Segmentation; Medical Image Classification; Spatio-Temporal Data Analysis; Medical Image Enhancement; Prognosis Prediction. Embedded Artificial Intelligence for Medical Applications: Model Compression; Model Quantization; Efficient Segmentation; DNN Acceleration.

EDUCATION

 Ph.D. Electronic Science & Engineering 09/2013 - 06/2016
   Huazhong University of Science and Technology  
   Dissertation: Research on Acceleration of Similarity Metric for Big Data  
 M.Sc. Electronic Science & Engineering 09/2011 - 04/2014
   Huazhong University of Science and Technology  
 B.Sc. Electronic Science & Engineering 09/2007 - 06/2011
   Huazhong University of Science and Technology  

EXPERIENCE

 Assistant Professor, Guangdong Provincial People’s Hospital, Guangzhou, China 11/2019 - Now
    
 Post-Doc Researcher, University of Notre Dame, US 09/2016 - 10/2019
    
 Visiting Researcher, Zhejiang University, Hangzhou, China 06/2017 - 12/2017
    
 Visiting Researcher, State University of New York, Buffalo, US 03/2015 - 03/2016
    
 Visiting Researcher, University of Alberta, Edmonton, CA 05/2013 - 08/2013
    

AWARDS & HONORS

PUBLICATIONS

Google Scholar Citations: 793; h-index1: 14; i10-index2: 24

JOURNAL AND MAGAZINE ARTICLES

J28.
Jiawei Zhang, Yanchun Zhang, Hailong Qiu, Wen Xie, Zeyang Yao, Yuan Haiyun, qianjun Jia, Tianchen Wang, Yiyu Shi, Meiping Huang, Jian Zhuang, Jieyun Bai*, "Pyramid-Net: Intra-layer Pyramid-scale Feature Aggregation for Retinal Vessel Segmentation", Frontiers in Medicine (FM, IF=5.1), accepted, 2021.

J27.
Guisen Lin, Qile Liu, Yuchen Chen, Xiaodan Zong, Yue Xi, Tingyu Li, Yuelong Yang, An Zeng, Minglei Chen, Chen Liu, Yanting Liang, Jieyun Bai*, Meiping Huang*, "Machine learning to predict long-term cardiac-relative prognosis in patients with extra-cardiac vascular disease", Frontiers in Cardiovascular Medicine (FCM, IF=6.0), accepted, 2021.

J26.
Jiawei Zhang, Yanchun Zhang*, Hailong Qiu, Tianchen Wang, Xiaomeng Li, Shanfeng Zhu, Meiping Huang*, Jian Zhuang*, Yiyu Shi, Jieyun Bai*, Constrained Multi-scale Dense Connections for Biomedical Image Segmentation, Pattern Recognition (PR, IF=7.7), under review, 2021.

J25.
Tianchen Wang, Jiawei Zhang, Jinjun Xiong, Song Bian, Zheyu Yan, Meiping Huang, Jian Zhuang, Takashi Sato, Yiyu Shi, Jieyun Bai, VisualNet: An End-to-End Human Visual System Inspired Framework to Reduce Inference Latency of Deep Neural Networks, IEEE Transactions on Computers (TC, CCF-A), under review, 2021

J24.
Jiawei Zhang, Jialin Wang, Yanchun Zhang, Hailong Qiu, Wen Xie, Zeyang Yao, Tianchen Wang, Yiyu Shi,Chu Han, Xiaomeng Li, Meiping Huang, Jian Zhuang, and Jieyun Bai, "QDD-Ens: Quantization-based Deep DiversifiedEnsemble for Biomedical Image Segmentation", IEEE Transactions on Medical Imaging (TMI, IF=10), under review, 2021.

J23.
Zeyang Yao, Hailong Qiu, Yuan Haiyun, Jian Zhuang, Jiawei Zhang, Qianjun Jia, Yuhao Dong, Tianchen Wang, Yiyu Shi, Jieyun Bai*, Meiping Huang*, "ImageTBAD: A 3D Computed Tomography Angiography Image Dataset for Automatic Segmentation of Type-B Aortic Dissection", Frontiers in Physiology (FP), 2021, 12. (IF=4.1)

J22.
Zeyang Yao, Xiaobing Liu, Xinrong Hu, Wen Xie, Yuhao Dong, Hailong Qiu, Zewen Chen, Yiyu Shi, Jieyun Bai*, Meiping Huang* and Jian Zhuang*, "A machine learning-based pulmonary venous obstruction prediction model using clinical data and CT image", International Journal of Computer Assisted Radiology and Surgery (IJCARS '21), Vol. 29, Iss. 1-2, pp. 1-20, ISSN:1550-4832, 2021. (IF=2.9)

J21.
Wentao Chen, Chutong Zhang, Yu Hu, Tianchen Wang, Qing Lu, Yiyu Shi*, Jieyun Bai*, "Quantization of Deep Neural Networks for Accurate Edge Computing", ACM Journal on Emerging Technologies of Computing Systems, accepted, 2021. (Top journal in Embedded System, recommended C by CCF)

J20.
Jieyun Bai* Hailong Qiu, Haiyun Yuan, Qianjun Jia, Zeyang Yao, Wen Xie, Humming Guo, Meiping Huang, Jian Zhuang, Yiyu Shi, "AI-CHD: An AI-based Framework for Cost-EffectiveSurgical Telementoring of Congenital Heart Disease", Communications of the ACM (CACM '21), Vol. 29, Iss. 1-2, pp. 1-14, ISSN:1520-9210, 2021. (IF=6.99)

J19.
Mingqi Li, Dewen Zeng, Qiu Xie, Ruixue Xu, Yu Wang, Dunliang Ma, Yiyu Shi, Jieyun Bai*, Meiping Huang*, Hongwen Fei*, "A deep learning approach with temporal consistency for automatic myocardial segmentation of quantitative myocardial contrast echocardiography", The International Journal of Cardiovascular Imaging (IJCAI '21), Vol. 29, Iss. 1-2, pp. 1-14, ISSN:1569-5794, 2021.

J18.
Dongxu Wei, Jieyun Bai, Kejie Huang, "AC-GAN: A General Method for Appearance-Controllable Human Video Motion Transfer", IEEE Transactions on Multimedia (TMM), Accepted, 2020. (Top journal in AI, recommended B by CCF)

J17.
Yukun Ding, Jinglan Liu, Jingjun Xiong, Jieyun Bai* and Yiyu Shi*, "The Hardware Implication of Neural Networks Competency-Awareness", Nature Electronics, Accepted, 2020.

J16.
Jinglan Liu, Jiaxin Zhang, Yukun Ding, Meng Jiang, Jieyun Bai, Yiyu Shi (2020). Binarizing Weights Wisely for Edge Intelligence: Guide for Partial Binarization of Deconvolution-Based Generators. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD) (in print). (Top journal in CAD, recommended A by CCF)

J15.
Jieyun Bai, Xinyi Zhang, Bei Yu, Xiaobo Sharon Hu, Christopher Rowen, Jingtong Hu, Yiyu Shi, "DAC-SDC Low Power Object Detection Challenge for UAV Applications", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), In print, 2019. (Top journal in AI, recommended A by CCF)

J14.
Dawei Li, Jieyun Bai, Leibo Liu, Yiyu Shi, Cheng Zhuo, "Optimal Design of a Low-Power, Phase-Switching Modulator for Implantable Medical Applications", Integration, the VLSI Journal. (Top journal in CAD, recommended C by CCF)

J13.
Jieyun Bai, Feng Lin, Wenyao Xu, Xinwei Yao and Yiyu Shi, Dewen Zeng, Yu Hu, "MDA: A Reconfigurable Memristor-based Distance Accelerator for Time Series Mining on Data Centers", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD) (in print). (Top journal in CAD, recommended A by CCF)

J12.
Jieyun Bai, Yukun Ding, Sharon Hu, Michael Niemier, Jason Cong, Yu Hu and Yiyu Shi, "Scaling of Deep Neural Networks for Edge Inference: A Race between Data Scientists and Hardware Architects", Nature Electronics, 2018, 1(4): 216. (Top journal)

J11.
Jieyun Bai, Feng Lin, Aosen Wang, Qing Lu, Wenyao Xu, Yiyu Shi and Yu Hu, "Accelerating Dynamic Time Warping with Memristor -based Customized Fabrics", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 37(4), pp. 729-741, 2018. (Top journal in CAD, recommended A by CCF)

J10.
Jieyun Bai, Feng Lin, Aosen Wang, Yu Hu, Ming-chun Huang, and Wenyao Xu, "Body-Earth Mover's Distance: A Matching-Based Approach for Sleep Posture Recognition", IEEE Transactions on Biomedical Circuits and Systems (TBioCAS). 10(5), pp.1023-1035.(SCI A)

J9.
Jieyun Bai, "On the Quantization of Cellular Neural Networks for Cyber-Physical Systems", TC-CPS-letter, 1(5), February 01, 2018.

J8.
Jieyun Bai, Qing Lu, Tianchen Wang, Yu Hu, Chen Zhuo, Jinglan Liu, Yiyu Shi, "Efficient Hardware Implementation of Cellular Neural Networks with Incremental Quantization and Early Exit", Journal of Emerging Technologies in Computing Systems (JETC), Accepted. (Top journal in CAD, recommended C by CCF)

J7.
Zhongyang Liu, Shanheng Luo, Jieyun Bai, Yiyu Shi, Chen Zhuo, "A Multi-Level Optimization Framework for FPGA-Based Cellular Neural Network Implementation", Journal of Emerging Technologies in Computing Systems (JETC), Accepted. (Top journal in CAD, recommended C by CCF)

J6.
Zhongyang Liu, Chen Zhuo, Jieyun Bai, "An efficient segmentation method using quantized and non-linear CeNN for breast tumor classification", Electronics Letters, 2018. (SCI C)

J5.
Feng Lin, Chen Song, Jieyun Bai, Lora Cavuoto, Wenyao Xu, "Patient Handling Activity Recognition Through Pressure-Map Manifold Learning Using A Footwear Sensor", Elsevier Smart Health (SH), 1(2), June 2017, Pages 77-92.

J4.
Jieyun Bai, Lu Pu, Tao Jiang, Zhijun Qiu, and Yu Hu, "A Comparison Study of Connected Vehicle Systems between Named Data Networking and IP", Journal of Internet Technology, 16(2), pp.343-350, 2015. (SCI C)

J3.
Li Zhang, Jieyun Bai, Dawei Li, Xiaofei Chen, Xuecheng Zou, "A single phase modulation for pulse-based inductive-coupling connection in 3D stacked chip", IEICE Electronics Express, 2017, 14(20). (SCI C)

J2.
Li Zhang, Dawei Li, Xuecheng Zou, Yu Hu, Jieyun Bai, "Scalable and Parameterized Architecture for Efficient Stream Mining", IEICE transections on Fundamentals of Electronics, Communications and Computer Sciences, Vol.E101-A, No.1, pp.219-231, 2018. (SCI C)

J1.
Jiangchen Li, Jieyun Bai, Junpei Han, Yu Hu, and Xuecheng Zou, "Synchronized pulsed LED algorithm for ambient infrared noise minimization in FTIR-based multitouch system", Infrared and Laser Engineering, 42(6), 2013.

CONFERENCE AND WORKSHOP PROCEEDINGS

C43.
Yu-Jen Chen, Yen-Jung Chang, Shao-Cheng Wen, Yiyu Shi, Jieyun Bai, Tsung-Yi Ho, Meiping Huang, Haiyun Yuan, and Jian Zhuang, "“One-Shot” Reduction of Additive Artifacts in Medical Images", IEEE International Conference on Bioinformatics and Biomedicine (BIBM, CCF B).

C42.
Zeng Dewen, Li Mingqi, Ding Yukun, Jieyun Bai, Xie Qiu, Xu Ruixue, Fei Hongwen, Huang Meiping, Zhuang Jian, Shi Yiyu, "Segmentation with Multiple Acceptable Annotations: A Case Study of Myocardial Segmentation in Contrast Echocardiography", 27th international conference on Information Processing in Medical Imaging (IPMI'21, Top coference in medical imaging), Virtual, June 28th – July 2nd, 2021.

C41.
Jiawei Zhang, Yanchun Zhang, Jieyun Bai, "Pyramid U-Net for Retina Vessel Segmentation", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP'21, CCF B), Virtual, 2021.

C40.
Dongxu Wei, Jieyun Bai, Haibin Shen, Kejie Huang, "C2F-FWN: Coarse-to-Fine Flow Warping Network for Spatial-Temporal Consistent Motion Transfer", 35th AAAI Conference on Artificial Intelligence (AAAI'21, CCF A), Virtual, 2021.

C39.
Dewen Zeng, Yukun Ding, Jieyun Bai, Haiyun Yuan, Hongwen Fei, Meiping Huang, Jian Zhuang, Jingtong Hu, Yiyu Shi„ "Hardware-aware Real-time Myocardial Segmentation Quality Control in Contrast Echocardiography", Proc. of IEEE/ACM Design Automation Conference (DAC'21, CCF-A), Virtual, 2021.

C38.
Shao-Cheng Wen, Yu-Jen Chen, Zihao Liu, Wujie Wen, Jieyun Bai, Yiyu Shi, Tsung-Yi Ho, Meiping Huang, Haiyun Yuan, and Jian Zhuang, "Do noises bother human and neural networks in the same way? A medical image analysis perspective", IEEE International Conference on Bioinformatics and Biomedicine (BIBM'2020, CCF B), 2020.

C37.
Jiawei Zhang, Yanchun Zhang, Shanfeng Zhu, Jieyun Bai, "Constrained Multi-scale Dense Connections for Accurate Biomedical Image Segmentation", IEEE International Conference on Bioinformatics and Biomedicine (BIBM'2020, CCF B), 2020.

C36.
Xinrong Hu, Zeyang Yao, Furong Liu, Wen Xie, Hailong Qiu, Yuhao Dong, Qianjun Jia, Meiping Huang, Jian Zhuang, Jieyun Bai and Yiyu Shi, "Joint Clinical Data and CT Image based Prognosis: A Case Study on Postoperative Pulmonary Venous Obstruction Prediction," in Proc. of Medical Image Computing and Computer Assisted Interventions (MICCAI) Workshop on Predictive Intelligence in Medicine (PRIME), 2020

C35.
Dewen Zeng, Weiwen Jiang, Tianchen Wang, Jieyun Bai, Haiyun Yuan, Meiping Huang, Jian Zhuang, Jingtong Hu and Yiyu Shi, "Towards Cardiac Intervention Assistance: Hardware-Aware Neural Architecture Exploration for Real-Time 3D Cardiac Cine MRI Segmentation," in Proc. of IEEE/ACM International Conference on Computer-Aided Design, 2020 (Invited Paper)(Top conference in CAD, recommended B by CCF)

C34.
Jieyun Bai, Tianchen Wang, Jian Zhuang, Haiyun Yuan, Meiping Huang, Qianjun Jia, Jianzheng Cen, Yuhao Dong, Yiyu Shi (2020). ImageCHD: A 3D Computed Tomography Image Dataset for Classification of Congenital Heart Disease. In Proc. of Medical Image Computing and Computer Assisted Interventions (MICCAI'20), Lima, Peru, pp. 8300–8308.

C33.
Tianchen Wang, Jinjun Xiong, Jieyun Bai, Qianjun Jia, Haiyun Yuan, Meiping Huang, Jian Zhuang, Yiyu Shi. ICA-UNet: ICA Inspired Statistical UNet for Real-time 3D Cardiac Cine MRI Segmentation. In Proc. of Medical Image Computing and Computer Assisted Interventions (MICCAI'20), Lima, Peru, pp. 8300–8308.

C32.
Zihao Liu, Sicheng Li, Yen-Kuang Chen, Tao Liu, Qi Liu, Jieyun Bai, Yiyu Shi, Wujie Wen (2020). Orchestrating Medical Image Compression and Remote Segmentation Networks. In Proc. of Medical Image Computing and Computer Assisted Interventions (MICCAI'20), Lima, Peru, pp. 8300–8308.

C31.
Song Bian, Jieyun Bai, Weiwen Jiang, Yiyu Shi, Takashi Sato (2020). BUNET: Blind Medical Image Segmentation Based on Secure UNET. In Proc. of Medical Image Computing and Computer Assisted Interventions (MICCAI'20), Lima, Peru, pp. 8300–8308.

C30.
Yukun Ding, Jinglan Liu, Jieyun Bai, Meiping Huang, Jian Zhuang, Jinjun Xiong, Yiyu Shi. Uncertainty-Aware Training of Neural Networks for Selective Medical Image Segmentation. In Proc. Of Medical imaging with Deep Learning (MIDL'20), Montreal, Canada, pp. 8300–8308, 2020.

C29.
Yu-Jen Chen, Yen-Jeng Chang, Shao-Cheng Wen, Jieyun Bai, Tsung-Yi Ho, Qianjun Jia, Meiping Huang, Jian Zhuang, Yiyu Shi. Zero-Shot Medical Image Artifact Reduction. In IEEE International Symposium on Biomedical Imaging (ISBI'20), 2020, Iowa city, pp. 8300–8308.

C29.
Qing Lu, Weiwen Jiang, Jieyun Bai, Yiyu Shi, Jingtong Hu (2019). On Neural Architecture Search for Resource-Constrained Hardware Platforms. Proc. of IEEE/ACM 2017 International Conference On Computer-Aided Design (ICCAD'19), CA, 2019. (Top conference in CAD, recommended B by CCF)

C28.
Jieyun Bai, Tianchen Wang, Yiyu Shi, "Multi-model Whole-Heart and Great Vessel Segmentation in Congenital Heart Disease using Deep Neural Networks and Graph Matching", the 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI'19), 2019.

C27.
Jieyun Bai, Meiping Huang, Qianjun Jia, Hailong Qiu, Haiyun Yuan, Yuhao Dong, Jian Zhuang and Yiyu Shi, "Accurate Congenital Heart Disease Model Generation for 3D Printing," in Proc. of IEEE International Workshop in Signal Processing Systems, Nanjing, China, 2019.

C26.
Boyang Li, Changhao Chenli, Jieyun Bai, Taeho Jung and Yiyu Shi, "Exploiting Computation Power of Blockchain for Biomedical Image Segmentation," in Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR'18) Workshops, Long Beach, CA, 2019. (Best Student Paper Award)

C25.
Tianchen Wang, Jieyun Bai, jingjun, Xiong, Yiyu Shi, "Multiscale SD-Net: Multiscale Statistical Dense Neural Network for Efficient 3D Cardiovascular MRI Segmentation", the 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI'19).

C24.
Zihao Liu, Jieyun Bai, Tao Liu, Qi Liu, Yanzhi Wang, Meiping Huang, Haiyun Yuan,Jian Zhuang, Yiyu Shi, "Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds", IEEE Conference on Computer Vision and Pattern Recognition (CVPR'19), Accepted(Top conference in AI, recommended A by CCF).

C23.
Tianchen Wang, Jieyun Bai, jingjun, Xiong, Yiyu Shi, "SCNN: A General Distribution based Statistical Convolutional Neural Networkwith Application to Video Object Detection", The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI'19), Honolulu, 2019. Accept (Top conference in AI, recommended A by CCF)

C22.
Jieyun Bai, Qing Lu, Lin Yang, Sharon Hu, Danny Chen, Yu Hu, Yiyu Shi, "Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation", IEEE Conference on Computer Vision and Pattern Recognition (CVPR'18), Salt lake city, 2018. (Top conference in AI, recommended A by CCF)

C21.
Jieyun Bai, Tianchen Wang, Qing Lu, Yiyu Shi, "Resource Constrained Cellular Neural Networks for Real-time Obstacle Detection using FPGAs", The 19th International Symposium on Quality Electronic Design (ISQED'18), Santa Clark, USA, 2018.

C20.
Jieyun Bai, Dewen Zeng, Wenyao Xu, Yiyu Shi, Yu Hu, "An Efficient Memristor-Based Distance Accelerator for Time Series Data Mining on Data Centers", 54th Design Automation Conference (DAC'17), 2017. (Top conference in CAD, recommended A by CCF)

C19.
Jieyun Bai, Qing Lu, Tianchen Wang, Jinglan Liu, Chen Zhuo, Sharon Hu, Yiyu Shi, "Empowering Mobile Telemedicine with Compressed Cellular Neural Networks", in Proc. of IEEE/ACM 2017 International Conference On Computer-Aided Design (ICCAD'17), CA, 2017. (Top conference in CAD, recommended B by CCF)

C18.
Jieyun Bai, Qing Lu, Tianchen Wang, Jinglan Liu, Yu Hu and Yiyu Shi, "Efficient Hardware Implementation of Cellular Neural Networks with Powers-of-Two Based Incremental Quantization", Neuromorphic Computing Symposium, Knoxville, 2017.

C17.
Zeyu Yan, Jieyun Bai, Guangyu Yu, Hu Yu, "Empowering Edge Mining on Smartphones with Reconfigurable Fabrics", China Semiconductor Technology International Conference (CSTIC'17), Shanghai, China, 2018.

C16.
Guangyu Yu, Jieyun Bai, Zeyu Yan and Hu Yu, "Accelerating Earth Movers Distance with Instruction Set Extension for Image Retrieval", China Semiconductor Technology International Conference (CSTIC'17), Shanghai, China, 2018.

C15.
Guanbing Deng, Hanqing Zhou, Guangyu Yu, Zeyu Yan, Yu Hu, Jieyun Bai, "Scalable and parameterized dynamic time warping architecture for efficient vehicle re-identification", In Transportation Information and Safety (ICTIS'17), 4th International Conference on, 2017.

C14.
Zhongyang Liu, Shaoheng Luo, Jieyun Bai, Yiyu Shi and Chen Zhuo, "A Multi-Level Optimization Framework for Efficient FPGA-Based Cellular Neural Network Implementation", Neuromorphic Computing Symposium, Knoxville, July 2017.

C13.
Kun Woo Cho, Feng Lin, Chen Song, Jieyun Bai, Fuxing Gu, and Wenyao Xu, "Thermal Handprint Analysis for Forensic Identification using Heat-Earth Mover's Distance", 2016 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA'16), Sendai, Japan, February, 2016.

C12.
Feng Lin, Chen Song, Jieyun Bai, Lora Cavuoto, Wenyao Xu, "Sensing from the Bottom: Smart Insole Enabled Patient Handling Activity Recognition Through Manifold Learning", IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE'16), Washington D.C., June 2016.

C11.
Feng Lin, Jieyun Bai, Aosen Wang, Lora Cavuoto, Wenyao Xu, "Automated patient handling activity recognition for at-risk caregivers using an unobtrusive wearable sensor", IEEE International Conference on Biomedical and Health Informatics (BHI'16), Las Vegas, February 2016.

C10.
Kun Woo Cho, Feng Lin, Chen Song, Jieyun Bai, Michelle Hartley-McAndrew, Kathy Doody, Wenyao Xu, "Gaze-Wasserstein: A Quantitative Screening Approach to Autism Spectrum Disorder", IEEE Annual Wireless Health Conference (WH'16), Bethesda, MD, October 2016.

C9.
Jieyun Bai, Feng Lin, Aosen Wang, Chen Song, Yu Hu, and Wenyao Xu, "On-bed Sleep Posture Recognition Based on Body-Earth Movers Distance", IEEE Conference on Circuits and Systems (BioCAS'15), Atlanta, Georgia, October, 2015.

C8.
Aosen Wang, Chen Song, Jieyun Bai, Feng Lin, Zhanpeng Jin, and Wenyao Xu, "Selective and Compressed Sensing for Energy-Efficient Implantable Neural Encoding", IEEE Conference on Circuits and Systems (BioCAS'15), Atlanta, 2015.

C7.
Hanqing Zhou, Jieyun Bai, Yu Hu, Guangyu Yu, Zeyu Yan, Feng Lin, and Wenyao Xu, "An Energy-efficient Pipelined DTW Architecture on Hybrid Embedded Platform", IEEE Green and Sustainable Computing Conference (IGSC'15), Las Vegas, 2015.

C6.
Jieyun Bai, Lu Pu, Hanqing Zhou, Yu Hu, Aosen Wang, and Wenyao Xu, "Energy Characterization and Optimization of Embedded Data Mining Algorithms: a Case Study of the DTW-kNN Framework", International Workshop on Green Programming, Computing, and Data Processing (GPCDP'14), Dallas, Texas, 2014.

C5.
Lu Pu, Jieyun Bai, Han He, Haning Zhou, Zhijun Qiu, and Yu Hu, "A flexible control study of variable speed limit in connected vehicle systems", International Workshop on Mobile Internet Big Data (IWMBD'14), Wuhan, China, May, 2014.

C4.
Jiangchen Li, Jieyun Bai, Hongpeng Zhao, Yu Hu, and Tony Z. Qiu, "An Energy Efficient Sub-Nyquist Sampling Method Based on Compressed Sensing in a Wireless Sensor Network for Vehicle Detection", The 2nd International Conference on Connected Vehicles and Expo (ICCVE'13), Las Vegas, Nevada, 2013.

C3.
Tao Jiang, Jieyun Bai, Lu Pu, Yu Hu, and Zhijun Qiu, "A simulation study of connected vehicle systems using named data network", 4th International Conference on Cloud Computing (ICCC'14), Wuhan, China, 2013.

C2.
Jieyun Bai, Tao Jiang, Pengfei Li, Tony Qiu, and Yu Hu, "A High-Level-Architect SimIVC for Simulating Traffic Network", The 2nd International Conference on Transportation Information and Safety (ICTIS'13), Wuhan, 2013.

C1.
Jieyun Bai, Wanghui Zou, Jinran Du, Xiaofei Chen, and Xuecheng Zou, Predictive calculation of coupling coefficient between on-chip small-area multilayer inductors", Solid-State and Integrated Circuit Technology, 2012 IEEE (ICSICT'12), Xian, 2012.

TALKS

INVITED TALKS

PROFESSIONAL ACTIVITY & MEMBERSHIPS

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Footnotes

... h-index1
h-index is the largest number h such that h publications have at least h citations.
... i10-index2
i10-index is the number of publications with at least 10 citations.
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