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Chenzhong Yin
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Conference and Workshop Papers
- 2024
- [c7]Anzhe Cheng, Heng Ping, Zhenkun Wang, Xiongye Xiao, Chenzhong Yin, Shahin Nazarian, Mingxi Cheng, Paul Bogdan:
Unlocking Deep Learning: A BP-Free Approach for Parallel Block-Wise Training of Neural Networks. ICASSP 2024: 4235-4239 - [c6]Chenzhong Yin, Hantang Zhang, Mingxi Cheng, Xiongye Xiao, Xinghe Chen, Xin Ren, Paul Bogdan:
Discovering Malicious Signatures in Software from Structural Interactions. ICASSP 2024: 4845-4849 - 2023
- [c5]Chenzhong Yin, Zhihong Pan, Xin Zhou, Le Kang, Paul Bogdan:
Raising The Limit of Image Rescaling Using Auxiliary Encoding. ICASSP 2023: 1-5 - [c4]Xiongye Xiao, Defu Cao, Ruochen Yang, Gaurav Gupta, Gengshuo Liu, Chenzhong Yin, Radu Balan, Paul Bogdan:
Coupled Multiwavelet Operator Learning for Coupled Differential Equations. ICLR 2023 - 2021
- [c3]Mingxi Cheng, Chenzhong Yin, Junyao Zhang, Shahin Nazarian, Jyotirmoy Deshmukh, Paul Bogdan:
A General Trust Framework for Multi-Agent Systems. AAMAS 2021: 332-340 - [c2]Gaurav Gupta, Chenzhong Yin, Jyotirmoy V. Deshmukh, Paul Bogdan:
Non-Markovian Reinforcement Learning using Fractional Dynamics. CDC 2021: 1542-1547 - 2020
- [c1]Chenzhong Yin, Gaurav Gupta, Paul Bogdan:
Discovering Laws from Observations: A Data-Driven Approach. DDDAS 2020: 302-310
Informal and Other Publications
- 2023
- [i7]Xiongye Xiao, Defu Cao, Ruochen Yang, Gaurav Gupta, Gengshuo Liu, Chenzhong Yin, Radu Balan, Paul Bogdan:
Coupled Multiwavelet Neural Operator Learning for Coupled Partial Differential Equations. CoRR abs/2303.02304 (2023) - [i6]Chenzhong Yin, Zhihong Pan, Xin Zhou, Le Kang, Paul Bogdan:
Raising The Limit Of Image Rescaling Using Auxiliary Encoding. CoRR abs/2303.06747 (2023) - [i5]Chenzhong Yin, Mihai Udrescu, Gaurav Gupta, Mingxi Cheng, Andrei Lihu, Lucretia Udrescu, Paul Bogdan, David M. Mannino, Stefan Mihaicuta:
Fractional dynamics foster deep learning of COPD stage prediction. CoRR abs/2303.07537 (2023) - [i4]Chenzhong Yin, Mingxi Cheng, Xiongye Xiao, Xinghe Chen, Shahin Nazarian, Andrei Irimia, Paul Bogdan:
Leader-Follower Neural Networks with Local Error Signals Inspired by Complex Collectives. CoRR abs/2310.07885 (2023) - [i3]Chenzhong Yin, Hantang Zhang, Mingxi Cheng, Xiongye Xiao, Xinghe Chen, Xin Ren, Paul Bogdan:
Discovering Malicious Signatures in Software from Structural Interactions. CoRR abs/2312.12667 (2023) - [i2]Anzhe Cheng, Zhenkun Wang, Chenzhong Yin, Mingxi Cheng, Heng Ping, Xiongye Xiao, Shahin Nazarian, Paul Bogdan:
Unlocking Deep Learning: A BP-Free Approach for Parallel Block-Wise Training of Neural Networks. CoRR abs/2312.13311 (2023) - 2021
- [i1]Gaurav Gupta, Chenzhong Yin, Jyotirmoy V. Deshmukh, Paul Bogdan:
Non-Markovian Reinforcement Learning using Fractional Dynamics. CoRR abs/2107.13790 (2021)
Coauthor Index
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