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Dingwen Yuan
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2020 – today
- 2020
- [j9]Dingwen Yuan, Hsuan-Yin Lin, Jörg Widmer, Matthias Hollick:
Optimal and Approximation Algorithms for Joint Routing and Scheduling in Millimeter-Wave Cellular Networks. IEEE/ACM Trans. Netw. 28(5): 2188-2202 (2020) - [c13]Nicolás Himmelmann, Dingwen Yuan, Lars Almon, Matthias Hollick:
Concurrent Wireless Cut-Through Forwarding: Ultra-Low Latency Multi-Hop Communication for the Internet of Things. DCOSS 2020: 77-85 - [i2]Dingwen Yuan, Hsuan-Yin Lin, Jörg Widmer, Matthias Hollick:
Optimal and Approximation Algorithms for Joint Routing and Scheduling in Millimeter-Wave Cellular Networks. CoRR abs/2007.02621 (2020)
2010 – 2019
- 2018
- [c12]Dingwen Yuan, Hsuan-Yin Lin, Jörg Widmer, Matthias Hollick:
Optimal Joint Routing and Scheduling in Millimeter-Wave Cellular Networks. INFOCOM 2018: 1205-1213 - 2017
- [j8]Dingwen Yuan, Salil S. Kanhere, Matthias Hollick:
Instrumenting Wireless Sensor Networks - A survey on the metrics that matter. Pervasive Mob. Comput. 37: 45-62 (2017) - [i1]Dingwen Yuan, Hsuan-Yin Lin, Joerg Widmer, Matthias Hollick:
Optimal Joint Routing and Scheduling in Millimeter-Wave Cellular Networks. CoRR abs/1712.04059 (2017) - 2016
- [c11]Dingwen Yuan, Matthias Hollick:
Competition: Sparkle: Energy Efficient, Reliable, Ultra-low Latency Communication in Wireless Control Networks. EWSN 2016: 295-296 - 2015
- [b1]Dingwen Yuan:
Improving Quality of Service in Wireless Sensor Networks for Industrial Automation. Darmstadt University of Technology, Germany, 2015, pp. 1-142 - [c10]Dingwen Yuan, Matthias Hollick:
Ripple: High-throughput, reliable and energy-efficient network flooding in wireless sensor networks. WOWMOM 2015: 1-9 - 2014
- [c9]Dingwen Yuan, Michael Riecker, Matthias Hollick:
Making 'Glossy' Networks Sparkle: Exploiting Concurrent Transmissions for Energy Efficient, Reliable, Ultra-Low Latency Communication in Wireless Control Networks. EWSN 2014: 133-149 - [c8]Michael Riecker, Dingwen Yuan, Rachid El Bansarkhani, Matthias Hollick:
Patrolling wireless sensor networks: randomized intrusion detection. Q2SWinet 2014: 61-69 - 2013
- [c7]Dingwen Yuan, Matthias Hollick:
Let's talk together: Understanding concurrent transmission in wireless sensor networks. LCN 2013: 219-227 - 2012
- [c6]Michael Riecker, Rainer Thome, Dingwen Yuan, Matthias Hollick:
A secure monitoring and control system for Wireless Sensor Networks. LCN 2012: 164-167 - [c5]Dingwen Yuan, Michael Riecker, Matthias Hollick:
HOPSCOTCH: An adaptive and distributed channel hopping technique for interference avoidance in Wireless Sensor Networks. LCN 2012: 635-642 - [c4]Dingwen Yuan, Matthias Hollick:
Tree-based multi-channel convergecast in Wireless Sensor Networks. WOWMOM 2012: 1-9 - 2010
- [j7]Yu-Jia Zhai, Ding-Wen Yu, Hong-Yu Guo, Ding-Li Yu:
Robust air/fuel ratio control with adaptive DRNN model and AD tuning. Eng. Appl. Artif. Intell. 23(2): 283-289 (2010) - [c3]Andreas Sewe, Dingwen Yuan, Jan Sinschek, Mira Mezini:
Headroom-based pretenuring: dynamically pretenuring objects that live "long enough". PPPJ 2010: 29-38
2000 – 2009
- 2007
- [j6]Ding-Li Yu, Ding-Wen Yu:
A new structure adaptation algorithm for RBF networks and its application. Neural Comput. Appl. 16(1): 91-100 (2007) - 2006
- [j5]Ding-Li Yu, Ding-Wen Yu, J. Barry Gomm:
Neural model adaptation and predictive control of a chemical process rig. IEEE Trans. Control. Syst. Technol. 14(5): 828-840 (2006) - [c2]Ding-Wen Yu, Ding-Li Yu:
Adaptive Pseudo Linear RBF Model for Process Control. ISNN (2) 2006: 1013-1018 - 2005
- [j4]Ding-Li Yu, Thoonkhin Chang, Ding-Wen Yu:
Fault tolerant control of multivariable processes using auto-tuning PID controller. IEEE Trans. Syst. Man Cybern. Part B 35(1): 32-43 (2005) - [c1]Ding-Li Yu, Ding-Wen Yu:
Detecting Sensor Faults for a Chemical Reactor Rig via Adaptive Neural Network Model. ISNN (3) 2005: 544-549 - 2004
- [j3]Thoonkhin Chang, Ding-Li Yu, Ding-Wen Yu:
Neural network model adaptation and its application to process control. Adv. Eng. Informatics 18(1): 1-8 (2004) - 2003
- [j2]Ding-Li Yu, Ding-Wen Yu:
A linear parameter-varying radial basis function model and predictive control of a chemical reactor. Int. J. Syst. Sci. 34(14-15): 747-761 (2003) - [j1]Ding-Wen Yu, Ding-Li Yu:
Neural network control of multivariable processes with a fast optimisation algorithm. Neural Comput. Appl. 12(3-4): 185-189 (2003)
Coauthor Index
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