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Jie Ren 0013
Person information
- affiliation: Huawei Technologies, Shanghai, China
- affiliation: Tongji University, Department of Computer Science, Shanghai, China
- affiliation (PhD 2016): Drexel University, Department of Electrical and Computer Engineering, Philadelphia, PA, USA
Other persons with the same name
- Jie Ren — disambiguation page
- Jie Ren 0001 — Google Inc., Santa Monica, CA, USA (and 1 more)
- Jie Ren 0002
— Nantong University, School of Information Science and Technology, Nantong, China
- Jie Ren 0003
- Jie Ren 0004
- Jie Ren 0005 — National University of Singapore, Department of Physics, Singapore
- Jie Ren 0006 — Google Brain, CA, USA (and 2 more)
- Jie Ren 0007
- Jie Ren 0008 — University of Toronto, ON, Canada (and 1 more)
- Jie Ren 0009 — Fordham University, Gabelli School of Business, New York, NY, USA (and 1 more)
- Jie Ren 0010 — Beijing Jiaotong University, School of Electronics and Information Engineering, Beijing, China
- Jie Ren 0011
- Jie Ren 0012 — Peking University, Institute of Computer Science and Technology, Beijing, China
- Jie Ren 0014 — Xi'an Polytechnic University, College of Electronics and Information, Xi'an, China (and 1 more)
- Jie Ren 0015
- Jie Ren 0016 — Harbin Institute of Technology, School of Computer Science and Technology, Harbin, China
- Jie Ren 0017 — Tsinghua University, Beijing, China
- Jie Ren 0018
- Jie Ren 0019
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2020 – today
- 2021
- [i5]Xin Zhang, Xiujun Shu, Bingwen Zhang, Jie Ren, Lizhou Zhou, Xin Chen:
Cellular Network Radio Propagation Modeling with Deep Convolutional Neural Networks. CoRR abs/2110.01848 (2021) - 2020
- [j5]Kai Yang
Decoding Binary Linear Codes Over Channels With Synchronization Errors. IEEE J. Sel. Areas Commun. 38(12): 2853-2863 (2020) - [c5]Xin Zhang, Xiujun Shu, Bingwen Zhang, Jie Ren, Lizhou Zhou, Xin Chen:
Cellular Network Radio Propagation Modeling with Deep Convolutional Neural Networks. KDD 2020: 2378-2386
2010 – 2019
- 2019
- [c4]Jie Ren, Xin Zhang, Yan Xin:
Using Deep Convolutional Neural Network to Recognize LTE Uplink Interference. WCNC 2019: 1-6 - 2018
- [j4]Kai Yang, Jie Ren, Yanqiao Zhu
Active Learning for Wireless IoT Intrusion Detection. IEEE Wirel. Commun. 25(6): 19-25 (2018) - [i4]Kai Yang, Jie Ren, Yanqiao Zhu
Active Learning for Wireless IoT Intrusion Detection. CoRR abs/1808.01412 (2018) - 2017
- [i3]Jie Ren, Solmaz Torabi, John MacLaren Walsh:
A Framework for Rate Efficient Control of Distributed Discrete Systems. CoRR abs/1704.08931 (2017) - 2016
- [j3]Jie Ren, Bradford D. Boyle, Gwanmo Ku, Steven Weber, John MacLaren Walsh:
Overhead Performance Tradeoffs - A Resource Allocation Perspective. IEEE Trans. Inf. Theory 62(6): 3243-3269 (2016) - [j2]Bradford D. Boyle, Jie Ren, John MacLaren Walsh, Steven Weber:
Interactive Scalar Quantization for Distributed Resource Allocation. IEEE Trans. Signal Process. 64(5): 1243-1256 (2016) - [c3]Solmaz Torabi, Jie Ren, John MacLaren Walsh:
Interactive Quantization for Extremum Computation in Collocated Networks. DCC 2016: 634 - [c2]Solmaz Torabi, Jie Ren, John MacLaren Walsh:
Practical interactive scheme for extremum computation in distributed networks. ISIT 2016: 1088-1092 - 2015
- [j1]Gwanmo Ku, Jie Ren, John MacLaren Walsh:
Computing the Rate Distortion Region for the CEO Problem With Independent Sources. IEEE Trans. Signal Process. 63(3): 567-575 (2015) - [i2]Bradford D. Boyle, Jie Ren, John MacLaren Walsh, Steven Weber:
Interactive Scalar Quantization for Distributed Extremization. CoRR abs/1505.04202 (2015) - 2014
- [c1]Jie Ren, John MacLaren Walsh:
Interactive communication for resource allocation. CISS 2014: 1-6 - [i1]Jie Ren, Bradford D. Boyle, Gwanmo Ku, Steven Weber, John MacLaren Walsh:
Overhead Performance Tradeoffs - A Resource Allocation Perspective. CoRR abs/1408.3661 (2014)
Coauthor Index
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