Yu Zhang (张羽)

Professor Department of AI Computing System School of Computer Science，Northwestern Polytechnical University Address: 1 Dongxiang Road, Chang'an District, Xi'an Shaanxi,710129, P.R.China. Email: zhangyu@nwpu.edu.cn [ Education | Teaching | Publications ]

Introduction

I am currently working as a Professor at School of Computer Science in Northwestern Polytechnical University, P.R. China and lead the department of AI Computing System. In my group, we work on building embedded intelligent multi-device systems to support capability based collaborative and interactive services. With an unprecedented rise of on/near-body devices and multi-UAV devices, it is common today to find networked embedded systems with multiple sensory devices. We explore ubiquitous operating system and novel higher level system challenges and issues to enable multi-device, multi-modal, and multi-sensory functionalities on these swarm devices, thereby offering exciting opportunities for accurate, robust and seamless edge intelligence. My research interests include mobile, embedded and ubiquitous operating systems, edge intelligence, Internet of Things (IoT), and wearable health in special environments. I like to collaborate with other domain experts for interdisciplinary research. I am now mainly teaching the graduate course of “Wireless Communication & Mobile Computing” as well as the undergraduate course of “Operating System Design & Implementation”.

• 2020, RMIT University, Computer Science, Ph.D.

• 2010, Northwestern Polytechnical University, Computer Science & Technology, Ph.D.

• 2002, Northwestern Polytechnical University, Computer Science & Technology, M.S.

• 1998, Northwestern Polytechnical University, Automation, B.S.

• Undergraduate: Operating Systems, Operating System Design, Frontier of IoT Techniques I & II, AI Computing System.

• Graduate: Advanced Operating System, Wireless Communication & Mobile Computing, Mobile Health in Special Environments 

• Towards Smarter Cities: An Adaptive AIoT Solution with Dynamic Sensor Group Selection for Real-Time Traffic Monitoring and Energy Efficiency, The 10th IEEE International Conference on Computer and Communications(ICCC'24), 2024.

  Hira Khyzer, Yu Zhang, Rana Muhammad Rashid.

• A finer-grained high altitude EEG dataset for hypoxia levels assessment, Nature Scientific Data, 2024. https://www.nature.com/articles/s41597-024-04102-5

  Yingjun Si, Yu Zhang, Xi Zhang, Sicong Liu, Honghao Zhang, Hui Yang.

• A High Altitude Respiration and SpO2 Dataset for Assessing the Human Response to Hypoxia, Nature Scientific Data, 2024.https://www.nature.com/articles/s41597-024-03065-x

  Xi Zhang, Yu Zhang, Yingjun Si, Nan Gao, Honghao Zhang, Hui Yang.

• AdaOper: Energy-efficient and Responsive Concurrent DNN Inference on Mobile Devices, The 22nd ACM International Conference on Mobile Systems, Applications, and Services(MobiSys'24), the workshop on Adaptive AIoT Systems, 2024.

  Zheng Lin, Bin Guo, Sicong Liu, Wentao Zhou, Yasan Ding, Yu Zhang, Zhiwen Yu.

• Human-computer interaction model and method for ubiquitous operating system, 计算机研究与发展, 2023.

  Bin Guo, Sicong Liu, Zhu Wang, Yu Zhang, Yuzhan Wang, Cheng Fang, Zhiwen Yu, Xingshe Zhou.

• Transferrable Contextual Feature Clusters for Parking Occupancy Prediction, Pervasive and Mobile Computing(PMC), vol.97, no.101831, Elsevier, 2023.
  Wei Shao, Yu Zhang, Pengfei Xiao, Kyle Kai Qin, Mohammad Saiedur Rahaman, Jeffrey Chan, Bin Guo, Andy Song, Flora D. Salim.

• UbiCap: A Capability-based Run-time Model for Heterogeneous Sensors Management in Ubiquitous Operating System, The 14th Asia-Pacific Symposium on Internetware(Internetware'23), 2023.
  Xiaojuan Li, Yu Zhang, Zhengyan Zhu, Yuan Yao, Xingshe Zhou.

• AdapSQA: Adaptive ECG Signal Quality Assessment Model for Inter-Patient Paradigm using Unsupervised Domain Adaptation, The IEEE International Conference on Bioinformatics and Biomedicine(BIBM'22), The 6th International Workshop on Deep Learning in Bioinformatics, Biomedicine, and Healthcare Informatics(DLB2H 2022), 2022.
  Hui Li, Yu Zhang, Jiyang Han, Yu Yan, Yu Liu, Hui Yang.

• Melanlysis: A mobile deep learning approach for early detection of skin cancer, The 28th IEEE International Conference on Parallel and Distributed Systems(ICPADS'22), 2022.
  Samen Anjum Arani, Yu Zhang, Md Tanvir Rahman, Hui Yang.

• MDLpark: Available parking prediction for smart parking through mobile deep learning, 16th China Internet of Things Academic Conference(CWSN’22) , 2022.
  Md Tanvir Rahman, Yu Zhang, Samen Anjum Arani, Wei Shao.

• Recommendation System with Biclustering, IEEE Big Data Mining and Analytics on Intelligent Systems and Internet of Things, vol.5, no.4, page:282-293, 2022.
  Jianjun Sun, Yu Zhang.

• WAMP²S: Workload-Aware GPU Performance Model based Pseudo-Preemptive Real-Time Scheduling for the Airborne Embedded System, IEEE Transactions on Parallel and Distributed Systems(TPDS)，2022.
  Yuan Yao, Shuangyang Liu, Sikai Wu, Jinting Ni, Jinyu Wang, Gang Yang, Yu Zhang.

• Energy Efficient Wi-Fi Tethering through Fast Convergent Transmission Power Adaptation, The 27th IEEE International Conference on Parallel and Distributed Systems(ICPADS'21), 2021.
  Yu Zhang, Guoqiang Zhang, Wenjuan Zhao, Ruilin Xie.

• Brief Industry Paper: Workload-Aware GPU Performance Estimation in the Airborne Embedded System, The 27th IEEE Real-Time and Embedded Technology and Applications Symposium(RTAS'21), 2021.
  Yuan Yao, Sikai Wu, Shuangyang Liu, Qingshuang Sun, Gang Yang, Yujiao Hu, Yu Zhang, Huixia Liu, Xinyu Tian.

• CDA: Coordinating Data Dissemination And Aggregation in Heterogeneous IoT Networks Using CTC, Journal of Network and Computer Applications(JNCA), Elsevier, 12pages, 2020.
  Yan Pan, Shining Li, Yu Zhang, Ting Zhu.

• Shiny-DEG: a Web application to analyze and visualize differentially expressed genes in RNA-seq, Interdisciplinary Sciences: Computation Life Sciences(INSC), Springer, v.12, 3, page:349-354, 2020.
  Sufang Wang, Yu Zhang, Congzhan Hu, Nu Zhang, Michael Gribskov, Hui Yang.

• Testing Artificial Intelligence System Towards Safety and Robustness: State of the Art, IAENG International Journal of Computer Science, v.47, n.3, page:449-462, 2020.
  Tingting Wu, Yunwei Dong, Zhiwei Dong, Aziz Singa, Xiong Chen, Yu Zhang.

• ExtendAIST: Exploring the Space of AI-in-the-Loop System Testing, Applied Sciences, 26pages, 10,518, 2020.
  Tingting Wu, Yunwei Dong,Yu Zhang, Aziz Singa.

• CDD: Coordinating Data Dissemination in heterogeneous IoT Networks, IEEE Communications Magazine, 2019.
  Yan Pan, Shining Li, Bingqi Li, Yu Zhang, Zhe Yang, Bin Guo, Ting Zhu.

• Enabling Out-of-band Coordination of Wi-Fi Communications on Smartphones, IEEE/ACM Transactions on Networking(TON),Vol.27, No.2, page:518-531, 2019.
  Xianjin Xia, Shining Li, Yu Zhang, Bingqi Li, Yuanqing Zheng, Gu Tao.

• Parking Availability Prediction with Long Short Term Memory Model, The 13rd International Conference on Green, Pervasive and Cloud Computing(GPC'18), Hangzhou, China, May 11 - 13, 2018.
  Wei Shao, Yu Zhang, Bin Guo, Kai Qin, Jeffrey Chan, Flora D. Salim.

• Exploiting Delay Aware Load Balance for Scalable 802.11 PSM in Crowd Event Environments, Wireless Communications & Mobile Computing(WCMC), Vol. 2017, 12pages, 2017.
  Yu Zhang, Mingfei Wei, Chen Cheng, Xianjin Xia, Tao Gu, Zhigang Li, Shining Li.

• Surviving Screen-off Battery through Out-of-band Wi-Fi Coordination, The 36th IEEE International Conference on Computer Communications(INFOCOM’17) . Atlanta, GA, USA, May 1 - 4, 2017.
  Xianjin Xia, Shining Li, Yu Zhang, Lin Li, Tao Gu, Yongji Liu, Yan Pan.

• Multi-Gradient Routing Protocol for Wireless Sensor Networks, Communication Theories & Systems, China Communications. pages:118-129, March 2017.
  Ying Qiu, Shining Li, Zhigang Li, Yu Zhang, Zhe Yang.

• An Analytical Model for Coding-Based Reprogramming Protocols in Lossy Wireless Sensor Networks, IEEE Transactions on Computers(TC), Vol.66, No.1, page24-37, 2017.
  Junwei Li, Shining Li, Yu Zhang, Tao Gu, Yee Wei Law, Zhe Yang, Xingshe Zhou, Marimuthu Palaniswami.

• ToneSense: Communication across Technologies through Power-channel, The 22nd ACM International Conference on Mobile Computing and Networking(MobiCom’16) , New York, USA, Oct 3 - 7, 2016. Poster paper.
  Xianjin Xia, Shining Li, Yu Zhang, Lin Li, Mingfei Wei, Wei Qin.

• Towards Energy-Balanced Data Transmission for Lifetime Optimization in Wireless Sensor Networks, The 52th IEEE International Conference on Communications(ICC’16) , Kuala Lumpur, Malaysia, May 23 - 27, 2016.
  Xianjin Xia, Shining Li, Yu Zhang, Tao Gu.

• Using typing pattern to save energy: adaptive notification mechanism in MIM APPs, The 35th IEEE International Conference on Computer Communications(INFOCOM’16) , San Francisco, CA, USA, April 10 - 15, 2016. Poster paper.
  Yan Pan, Shining Li, Xianjin Xia, Zhigang Li, Zhe Yang, Yu Zhang, Jun-Wei Li, Mingfei Wei, Jingyu Zhang.

• SAPM: Self-Adjusting Pipelining Mechanism for Efficient Bulk Data Dissemination in Smart Homes, The 12nd IEEE International Conference on Ubiquitous Intelligence and Computing(UIC’15) , Beijing, China. August 28 - 35, 2015.
  Junwei Li, Shining Li, Yu Zhang, Bin Guo, Zhe Yang.

• Energy balance of mixed data transmission in 1D sensor networks, 软件学报, 26(8):1983-2006, 2015.
  Xianjin Xia, Shining Li, Yu Zhang, Zhigang Li, Zhe Yang.

• Poster: Energy Balance Bounds of Mixed Data Transmission in Wireless Sensor Networks, The 33rd IEEE International Conference on Computer Communications(INFOCOM’14) , Toronto, Canada, April 27 - May 2. 2014.
  Xianjin Xia, Shining Li, Yu Zhang, Zhe Yang.

• Low-overhead authentication method for reprogramming protocol based on rateless codes in wireless sensor networks, The 10th International Conference on Wireless Communications and Mobile Computing(IWCMC’14) , Nicosia, Cyprus, August 4 - 8, 2014.
  Lina Yang, Shining Li, Yu Zhang.

• Analytical Model of Coding-Based Reprogramming Protocols in Lossy Wireless Sensor Networks, The 49th IEEE International Conference on Communications(ICC’13) , Budapest, Hungary, June 9 - 13, 2013.
  Junwei Li, Shining Li, Yu Zhang, Yeewei Law, Xingshe Zhou, Marimuthu Palaniswami.

• Analytical Energy Model of Coding-Based Reprogramming Protocols in Wireless Sensor Networks, 软件学报, 24(1):125-133, 2013.
  Yan Zhang, Yu Zhang, Junwei Li, Xianjin Xia, Shining Li.

• Debugging Sensor Networks: A Survey, 计算机学报, 35(3):405-422, 2012.
  Junyan Ma, Xingshe Zhou, Yu Zhang, Shining Li, Zhigang Li.

• Secure rateless deluge: pollution-resistant reprogramming and data dissemination for wireless sensor networks, EURASIP Journal on Wireless Communications and Networking, Vol.2011, 2011.
  Yee Wei Law, Yu Zhang, Jiong Jin, Marimuthu Palaniswami, Paul Havinga.

• Self-Localization in Wireless  Sensor Networks Using Particle Filtering with Progressive Correction, The 5th International ICST Conference on Communications and Networking in China(ChinaCom’10) , Beijing, China, Aug 25 - 27, 2010.
  Thomas Hanselmann, Yu Zhang, Mark Morelande, Mohd Ifran Md Nor, Jonathan Wei Tan, Xingshe Zhou, Yee Wei Law.

• Five basic types of insider DoS attacks of code dissemination in Wireless Sensor Networks, International Journal of Communications, Network and System Sciences, Vol.2, No. 1, Feb. 2009.
  Yu Zhang, Xingshe Zhou, Yiming Ji, Yee Wei Law, Marimuthu Palaniswami.