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ORCIDCong Chen 0003
Person information
- affiliation: University of Hong Kong, Department of Electrical and Electronic Engineering, Hong Kong
Other persons with the same name
- Cong Chen — disambiguation page
- Cong Chen 0001 — Vernam Laboratory, WPI, Worcester, MA, USA (and 1 more)
- Cong Chen 0002 — Cornell University, School of Electrical and Computer Engineering, Ithaca, NY, USA
- Cong Chen 0004
![[0000-0003-4334-3727]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-4334-3727")
— Guangzhou University, School of Management, Guangzhou, China (and 3 more) - Cong Chen 0005 — University of Texas at Dallas, Department of Computer Science, TX, USA
- Cong Chen 0006 — Nanchang Institute of Technology, School of Information Engineering, China
- Cong Chen 0007 — Virginia Tech, Bradley Department of Electrical and Computer Engineering, Blacksburg, VA, USA
- Cong Chen 0008 — City University of New York, CUNY, NY, USA (and 1 more)
- Cong Chen 0009 — University of Electronic Science and Technology of China, National Key Laboratory of Wireless Communications, Beijing, China
- Cong Chen 0010 — Lanzhou University, School of Civil Engineering and Mechanics, China
- Cong Chen 0011 — Fraunhofer Institute for Computer Graphics Research IGD, Darmstadt, Germany (and 1 more)
- Cong Chen 0012 — Shandong University of Technology, Department of Computer Science and Technology, Zibo, China
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2020 – today
- 2022
[j2]Cong Chen, Kim Batselier, Wenjian Yu, Ngai Wong:
Kernelized support tensor train machines. Pattern Recognit. 122: 108337 (2022)- [c5]Rui Lin, Cong Chen, Ngai Wong:
Coarse to Fine: Image Restoration Boosted by Multi-Scale Low-Rank Tensor Completion. ICPR 2022: 259-265 - [i6]Rui Lin, Cong Chen, Ngai Wong:
Coarse to Fine: Image Restoration Boosted by Multi-Scale Low-Rank Tensor Completion. CoRR abs/2203.15189 (2022) - 2021
- [c4]Cong Chen, Chaofan Tao, Ngai Wong:
LiteGT: Efficient and Lightweight Graph Transformers. CIKM 2021: 161-170 - 2020
- [j1]Ching-Yun Ko, Cong Chen, Zhuolun He, Yuke Zhang, Kim Batselier, Ngai Wong:
Deep Model Compression and Inference Speedup of Sum-Product Networks on Tensor Trains. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2665-2671 (2020) - [i5]Cong Chen, Kim Batselier, Wenjian Yu, Ngai Wong:
Kernelized Support Tensor Train Machines. CoRR abs/2001.00360 (2020) - [i4]Rui Lin, Ching-Yun Ko, Zhuolun He, Cong Chen, Yuan Cheng, Hao Yu, Graziano Chesi, Ngai Wong:
HOTCAKE: Higher Order Tucker Articulated Kernels for Deeper CNN Compression. CoRR abs/2002.12663 (2020)
2010 – 2019
- 2019
- [c3]Cong Chen, Kim Batselier, Ching-Yun Ko, Ngai Wong:
Matrix Product Operator Restricted Boltzmann Machines. IJCNN 2019: 1-8 - [c2]Cong Chen, Kim Batselier, Ching-Yun Ko, Ngai Wong:
A Support Tensor Train Machine. IJCNN 2019: 1-8 - 2018
- [i3]Cong Chen, Kim Batselier, Ching Yun Ko, Ngai Wong:
A Support Tensor Train Machine. CoRR abs/1804.06114 (2018) - [i2]Ching Yun Ko, Cong Chen, Yuke Zhang, Kim Batselier, Ngai Wong:
Deep Compression of Sum-Product Networks on Tensor Networks. CoRR abs/1811.03963 (2018) - [i1]Cong Chen, Kim Batselier, Ching-Yun Ko, Ngai Wong:
Matrix Product Operator Restricted Boltzmann Machines. CoRR abs/1811.04608 (2018) - 2017
- [c1]Cong Chen, Kim Batselier, Mihai Telescu, Stéphane Azou, Noël Tanguy, Ngai Wong:
Tensor-network-based predistorter design for multiple-input multiple-output nonlinear systems. ASICON 2017: 1117-1120
Coauthor Index
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