Chenzhong Yin - RankMe

21 papers A* 1A 1Misc 5Journal 12Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	EMoE: Eigenbasis-Guided Routing for Mixture-of-Experts. CoRR Anzhe Cheng, Shukai Duan, Shixuan Li, Chenzhong Yin, Mingxi Cheng, Shahin Nazarian, Paul M. Thompson, Paul Bogdan
2025	Misc	`conf`	Controllable Generative Model for Brain Evolution. ICASSP Gengshuo Liu, Nikhil N. Chaudhari, Nikos Kanakaris, Chenzhong Yin, Paul Bogdan, Andrei Irimia
2025	J	`jnl`	ERMoE: Eigen-Reparameterized Mixture-of-Experts for Stable Routing and Interpretable Specialization. CoRR Anzhe Cheng, Shukai Duan, Shixuan Li, Chenzhong Yin, Mingxi Cheng, Heng Ping, Tamoghna Chattopadhyay, Sophia I. Thomopoulos, Shahin Nazarian, Paul M. Thompson, Paul Bogdan
2025	J	`jnl`	Eigen Neural Network: Unlocking Generalizable Vision with Eigenbasis. CoRR Anzhe Cheng, Chenzhong Yin, Mingxi Cheng, Shukai Duan, Shahin Nazarian, Paul Bogdan
2025	Misc	`conf`	Exploiting Application-to-Architecture Dependencies for Designing Scalable OS. ICASSP Yao Xiao, Nikos Kanakaris, Anzhe Cheng, Chenzhong Yin, Nesreen K. Ahmed, Shahin Nazarian, Andrei Irimia, Paul Bogdan
2025	J	`jnl`	Exploiting Application-to-Architecture Dependencies for Designing Scalable OS. CoRR Yao Xiao, Nikos Kanakaris, Anzhe Cheng, Chenzhong Yin, Nesreen K. Ahmed, Shahin Nazarian, Andrei Irimia, Paul Bogdan
2025	J	`jnl`	MaskAttn-UNet: A Mask Attention-Driven Framework for Universal Low-Resolution Image Segmentation. CoRR Anzhe Cheng, Chenzhong Yin, Yu Chang, Heng Ping, Shixuan Li, Shahin Nazarian, Paul Bogdan
2024	Misc	`conf`	Discovering Malicious Signatures in Software from Structural Interactions. ICASSP Chenzhong Yin, Hantang Zhang, Mingxi Cheng, Xiongye Xiao, Xinghe Chen, Xin Ren, Paul Bogdan
2024	Misc	`conf`	Unlocking Deep Learning: A BP-Free Approach for Parallel Block-Wise Training of Neural Networks. ICASSP Anzhe Cheng, Heng Ping, Zhenkun Wang, Xiongye Xiao, Chenzhong Yin, Shahin Nazarian, Mingxi Cheng, Paul Bogdan
2023	J	`jnl`	Coupled Multiwavelet Neural Operator Learning for Coupled Partial Differential Equations. CoRR Xiongye Xiao, Defu Cao, Ruochen Yang, Gaurav Gupta, Gengshuo Liu, Chenzhong Yin, Radu Balan, Paul Bogdan
2023	A*	`conf`	Coupled Multiwavelet Operator Learning for Coupled Differential Equations. ICLR Xiongye Xiao, Defu Cao, Ruochen Yang, Gaurav Gupta, Gengshuo Liu, Chenzhong Yin, Radu Balan, Paul Bogdan
2023	J	`jnl`	Discovering Malicious Signatures in Software from Structural Interactions. CoRR Chenzhong Yin, Hantang Zhang, Mingxi Cheng, Xiongye Xiao, Xinghe Chen, Xin Ren, Paul Bogdan
2023	J	`jnl`	Fractional dynamics foster deep learning of COPD stage prediction. CoRR Chenzhong Yin, Mihai Udrescu, Gaurav Gupta, Mingxi Cheng, Andrei Lihu, Lucretia Udrescu, Paul Bogdan, David M. Mannino, Stefan Mihaicuta
2023	J	`jnl`	Leader-Follower Neural Networks with Local Error Signals Inspired by Complex Collectives. CoRR Chenzhong Yin, Mingxi Cheng, Xiongye Xiao, Xinghe Chen, Shahin Nazarian, Andrei Irimia, Paul Bogdan
2023	J	`jnl`	Raising The Limit Of Image Rescaling Using Auxiliary Encoding. CoRR Chenzhong Yin, Zhihong Pan, Xin Zhou, Le Kang, Paul Bogdan
2023	Misc	`conf`	Raising The Limit of Image Rescaling Using Auxiliary Encoding. ICASSP Chenzhong Yin, Zhihong Pan, Xin Zhou, Le Kang, Paul Bogdan
2023	J	`jnl`	Unlocking Deep Learning: A BP-Free Approach for Parallel Block-Wise Training of Neural Networks. CoRR Anzhe Cheng, Zhenkun Wang, Chenzhong Yin, Mingxi Cheng, Heng Ping, Xiongye Xiao, Shahin Nazarian, Paul Bogdan
2021	A	`conf`	A General Trust Framework for Multi-Agent Systems. AAMAS Mingxi Cheng, Chenzhong Yin, Junyao Zhang, Shahin Nazarian, Jyotirmoy Deshmukh, Paul Bogdan
2021	—	`conf`	Non-Markovian Reinforcement Learning using Fractional Dynamics. CDC Gaurav Gupta, Chenzhong Yin, Jyotirmoy V. Deshmukh, Paul Bogdan
2021	J	`jnl`	Non-Markovian Reinforcement Learning using Fractional Dynamics. CoRR Gaurav Gupta, Chenzhong Yin, Jyotirmoy V. Deshmukh, Paul Bogdan
2020	—	`conf`	Discovering Laws from Observations: A Data-Driven Approach. DDDAS Chenzhong Yin, Gaurav Gupta, Paul Bogdan