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Pengfei Zhang 0001
Person information
- affiliation: University of Oxford, Department of Engineering Science, UK
- affiliation (PhD 2015): Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore
Other persons with the same name
- Pengfei Zhang — disambiguation page
- Pengfei Zhang 0002 — Chinese Academy of Sciences, Department of Electron Microscopy, Beijing, China (and 2 more)
- Pengfei Zhang 0003 — Shandong Jianzhu University, School of Computer Science and Technology, Jinan, China
- Pengfei Zhang 0004 — Zhejiang University, College of Computer Science and Technology, Hangzhou, China
- Pengfei Zhang 0005 — Xi'an Jiaotong University, Institute of Artificial Intelligence and Robotics, Xi'an, China
- Pengfei Zhang 0006 — National University of Defense Technology, College of Computer, National Key Laboratory for Parallel and Distributed Processing, Changsha, China
- Pengfei Zhang 0007 — National University of Defense Technology, College of System Engineering
- Pengfei Zhang 0008 — Meituan
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2010 – 2019
- 2019
- [j9]Yan-Bin Chen, Ido Nevat, Pengfei Zhang, Sai Ganesh Nagarajan, Hung-Yu Wei:
Query-Based Sensors Selection for Collaborative Wireless Sensor Networks With Stochastic Energy Harvesting. IEEE Internet Things J. 6(2): 3031-3043 (2019) - [c15]Pengfei Zhang, Gareth W. Peters, Ido Nevat, Keng Boon Teo, Yixin Wang:
Multimodal Data Fusion of Spatial Fields in Sensor Networks. IEEE SENSORS 2019: 1-4 - 2018
- [j8]Ido Nevat, Dinil Mon Divakaran, Sai Ganesh Nagarajan, Pengfei Zhang, Le Su, Li Ling Ko, Vrizlynn L. L. Thing:
Anomaly Detection and Attribution in Networks With Temporally Correlated Traffic. IEEE/ACM Trans. Netw. 26(1): 131-144 (2018) - [j7]Pengfei Zhang, Ido Nevat, Gareth W. Peters, François Septier, Michael A. Osborne:
Spatial Field Reconstruction and Sensor Selection in Heterogeneous Sensor Networks With Stochastic Energy Harvesting. IEEE Trans. Signal Process. 66(9): 2245-2257 (2018) - [c14]Ido Nevat, Sai Ganesh Nagarajan, Pengfei Zhang:
Change Detection of a Subset of High-Dimensional Time Series Data in Sensor Networks. VTC Spring 2018: 1-5 - [i1]Wolfgang Fruehwirt, Adam D. Cobb, Martin Mairhofer, Leonard Weydemann, Heinrich Garn, Reinhold Schmidt, Thomas Benke, Peter Dal-Bianco, Gerhard Ransmayr, Markus Waser, Dieter Grossegger, Pengfei Zhang, Georg Dorffner, Stephen J. Roberts:
Bayesian deep neural networks for low-cost neurophysiological markers of Alzheimer's disease severity. CoRR abs/1812.04994 (2018) - 2017
- [j6]Sai Ganesh Nagarajan, Pengfei Zhang, Ido Nevat:
Geo-Spatial Location Estimation for Internet of Things (IoT) Networks With One-Way Time-of-Arrival via Stochastic Censoring. IEEE Internet Things J. 4(1): 205-214 (2017) - [j5]Pengfei Zhang, Sai Ganesh Nagarajan, Ido Nevat:
Secure Location of Things (SLOT): Mitigating Localization Spoofing Attacks in the Internet of Things. IEEE Internet Things J. 4(6): 2199-2206 (2017) - [j4]Ido Nevat, Pengfei Zhang, Gad Frenkel, Gareth W. Peters:
Parameter Estimation in Sensor Networks Under Probabilistic Censoring. IEEE Trans. Signal Process. 65(15): 4047-4058 (2017) - [c13]Wolfgang Fruehwirt, Pengfei Zhang, Matthias Gerstgrasser, Dieter Grossegger, Reinhold Schmidt, Thomas Benke, Peter Dal-Bianco, Gerhard Ransmayr, Leonard Weydemann, Heinrich Garn, Markus Waser, Michael A. Osborne, Georg Dorffner:
Bayesian Gaussian Process Classification from Event-Related Brain Potentials in Alzheimer's Disease. AIME 2017: 65-75 - [c12]Qikun Xiang, Jie Zhang, Ido Nevat, Pengfei Zhang:
A Trust-based Mixture of Gaussian Processes Model for Robust Participatory Sensing. AAMAS 2017: 1760-1762 - [c11]Qikun Xiang, Jie Zhang, Ido Nevat, Pengfei Zhang:
A Trust-based Mixture of Gaussian Processes Model for Reliable Regression in Participatory Sensing. IJCAI 2017: 3866-3872 - [c10]Jing Yang Koh, Pengfei Zhang:
Localizing Wireless Jamming Attacks with Minimal Network Resources. SpaCCS Workshops 2017: 322-334 - [c9]Jingting Liu, Ido Nevat, Pengfei Zhang, Gareth W. Peters:
Multimodal Data Fusion in Sensor Networks via Copula Processes. WCNC 2017: 1-6 - 2016
- [c8]Qikun Xiang, Ido Nevat, Pengfei Zhang, Jie Zhang:
Collusion-resistant Spatial Phenomena Crowdsourcing via Mixture of Gaussian Processes Regression. TRUST@AAMAS 2016: 19-30 - 2015
- [j3]Wai Hong Ronald Chan, Pengfei Zhang, Ido Nevat, Sai Ganesh Nagarajan, Alvin C. Valera, Hwee-Xian Tan, Natarajan Gautam:
Adaptive Duty Cycling in Sensor Networks With Energy Harvesting Using Continuous-Time Markov Chain and Fluid Models. IEEE J. Sel. Areas Commun. 33(12): 2687-2700 (2015) - [j2]Pengfei Zhang, Ido Nevat, Gareth W. Peters, Gaoxi Xiao, Hwee Pink Tan:
Event Detection in Wireless Sensor Networks in Random Spatial Sensors Deployments. IEEE Trans. Signal Process. 63(22): 6122-6135 (2015) - [c7]Wai Hong Ronald Chan, Pengfei Zhang, Wenyu Zhang, Ido Nevat, Alvin C. Valera, Hwee-Xian Tan, Natarajan Gautam:
Adaptive duty cycling in sensor networks via Continuous Time Markov Chain modelling. ICC 2015: 6669-6674 - [c6]Pengfei Zhang, Xiaoping Ma, Wenyu Zhang, Shaowei Lin, Huiling Chen, Arthur Lee Yirun, Gaoxi Xiao:
Multimodal fusion for sensor data using stacked autoencoders. ISSNIP 2015: 1-2 - [c5]Pengfei Zhang, Hwee Pink Tan, Gaoxi Xiao, Yi Yu:
Maximizing lifetime in clustered WSNs with energy harvesting relay: Profiling and modeling. ISSNIP 2015: 1-6 - 2014
- [c4]Pengfei Zhang, Jing Yang Koh, Shaowei Lin, Ido Nevat:
Distributed event detection under Byzantine attack in wireless sensor networks. ISSNIP 2014: 1-6 - [c3]Pengfei Zhang, Gareth W. Peters, Ido Nevat, Gaoxi Xiao, Hwee-Pink Tan:
Distributed Event Detection in Sensor Networks under Random Spatial Deployment. MILCOM 2014: 623-629 - 2013
- [j1]Pengfei Zhang, Gaoxi Xiao, Hwee-Pink Tan:
Clustering algorithms for maximizing the lifetime of wireless sensor networks with energy-harvesting sensors. Comput. Networks 57(14): 2689-2704 (2013) - 2012
- [c2]Pengfei Zhang, Gaoxi Xiao, Hwee-Pink Tan:
Distributed relay scheduling for maximizing lifetime in clustered wireless sensor networks. ICCS 2012: 11-15 - 2011
- [c1]Pengfei Zhang, Gaoxi Xiao, Hwee Pink Tan:
A preliminary study on lifetime maximization in clustered wireless sensor networks with energy harvesting nodes. ICICS 2011: 1-5
Coauthor Index
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