Cong Chen

According to our database, Cong Chen authored at least 9 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Kernelized support tensor train machines.

Cong Chen, Kim Batselier, Wenjian Yu, Ngai Wong

Pattern Recognit., 2022

Coarse to Fine: Image Restoration Boosted by Multi-Scale Low-Rank Tensor Completion.

Rui Lin, Cong Chen, Ngai Wong

Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021

LiteGT: Efficient and Lightweight Graph Transformers.

Cong Chen, Chaofan Tao, Ngai Wong

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Deep Model Compression and Inference Speedup of Sum-Product Networks on Tensor Trains.

Ching-Yun Ko, Cong Chen, Zhuolun He, Yuke Zhang, Kim Batselier, Ngai Wong

IEEE Trans. Neural Networks Learn. Syst., 2020

HOTCAKE: Higher Order Tucker Articulated Kernels for Deeper CNN Compression.

Rui Lin, Ching-Yun Ko, Zhuolun He, Cong Chen, Yuan Cheng, Hao Yu, Graziano Chesi, Ngai Wong

CoRR, 2020

2019

A Support Tensor Train Machine.

Cong Chen, Kim Batselier, Ching-Yun Ko, Ngai Wong

Proceedings of the International Joint Conference on Neural Networks, 2019

Matrix Product Operator Restricted Boltzmann Machines.

Cong Chen, Kim Batselier, Ching-Yun Ko, Ngai Wong

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Deep Compression of Sum-Product Networks on Tensor Networks.

Ching Yun Ko, Cong Chen, Yuke Zhang, Kim Batselier, Ngai Wong

CoRR, 2018

2017

Tensor-network-based predistorter design for multiple-input multiple-output nonlinear systems.

Cong Chen, Kim Batselier, Mihai Telescu, Stéphane Azou, Noël Tanguy, Ngai Wong

Proceedings of the 12th IEEE International Conference on ASIC, 2017