Chenzhong Yin

According to our database, Chenzhong Yin authored at least 10 papers between 2020 and 2023.

Collaborative distances:

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

2023

Unlocking Deep Learning: A BP-Free Approach for Parallel Block-Wise Training of Neural Networks.

Anzhe Cheng, Zhenkun Wang, Chenzhong Yin, Mingxi Cheng, Heng Ping, Xiongye Xiao, Shahin Nazarian, Paul Bogdan

CoRR, 2023

Discovering Malicious Signatures in Software from Structural Interactions.

Chenzhong Yin, Hantang Zhang, Mingxi Cheng, Xiongye Xiao, Xinghe Chen, Xin Ren, Paul Bogdan

CoRR, 2023

Leader-Follower Neural Networks with Local Error Signals Inspired by Complex Collectives.

Chenzhong Yin, Mingxi Cheng, Xiongye Xiao, Xinghe Chen, Shahin Nazarian, Andrei Irimia, Paul Bogdan

CoRR, 2023

Fractional dynamics foster deep learning of COPD stage prediction.

Chenzhong Yin, Mihai Udrescu, Gaurav Gupta, Mingxi Cheng, Andrei Lihu, Lucretia Udrescu, Paul Bogdan, David M. Mannino, Stefan Mihaicuta

CoRR, 2023

Coupled Multiwavelet Neural Operator Learning for Coupled Partial Differential Equations.

Xiongye Xiao, Defu Cao, Ruochen Yang, Gaurav Gupta, Gengshuo Liu, Chenzhong Yin, Radu Balan, Paul Bogdan

CoRR, 2023

Coupled Multiwavelet Operator Learning for Coupled Differential Equations.

Xiongye Xiao, Defu Cao, Ruochen Yang, Gaurav Gupta, Gengshuo Liu, Chenzhong Yin, Radu Balan, Paul Bogdan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Raising The Limit of Image Rescaling Using Auxiliary Encoding.

Chenzhong Yin, Zhihong Pan, Xin Zhou, Le Kang, Paul Bogdan

Proceedings of the IEEE International Conference on Acoustics, 2023

2021

Non-Markovian Reinforcement Learning using Fractional Dynamics.

Gaurav Gupta, Chenzhong Yin, Jyotirmoy V. Deshmukh, Paul Bogdan

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

A General Trust Framework for Multi-Agent Systems.

Mingxi Cheng, Chenzhong Yin, Junyao Zhang, Shahin Nazarian, Jyotirmoy Deshmukh, Paul Bogdan

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

Discovering Laws from Observations: A Data-Driven Approach.

Chenzhong Yin, Gaurav Gupta, Paul Bogdan

Proceedings of the Dynamic Data Driven Applications Systems, 2020