Discovering Laws from Observations: A Data-Driven Approach. - Chenzhong Yin; Gaurav Gupta; Paul Bogdan (DDDAS, 2020)

A General Trust Framework for Multi-Agent Systems. - Mingxi Cheng; Chenzhong Yin; Junyao Zhang; Shahin Nazarian; Jyotirmoy Deshmukh; Paul Bogdan (AAMAS, 2021)

Non-Markovian Reinforcement Learning using Fractional Dynamics. - Gaurav Gupta; Chenzhong Yin; Jyotirmoy V. Deshmukh; Paul Bogdan (CDC, 2021)

Raising The Limit of Image Rescaling Using Auxiliary Encoding. - Chenzhong Yin; Zhihong Pan 001; Xin Zhou 017; Le Kang; Paul Bogdan (ICASSP, 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 (ICLR, 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)

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)

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)

Unlocking Deep Learning: A BP-Free Approach for Parallel Block-Wise Training of Neural Networks. - Anzhe Cheng; Heng Ping; Zhenkun Wang 008; Xiongye Xiao; Chenzhong Yin; Shahin Nazarian; Mingxi Cheng; Paul Bogdan (ICASSP, 2024)

Discovering Malicious Signatures in Software from Structural Interactions. - Chenzhong Yin; Hantang Zhang; Mingxi Cheng; Xiongye Xiao; Xinghe Chen; Xin Ren; Paul Bogdan (ICASSP, 2024)

Controllable Generative Model for Brain Evolution. - Gengshuo Liu; Nikhil N. Chaudhari; Nikos Kanakaris; Chenzhong Yin; Paul Bogdan; Andrei Irimia (ICASSP, 2025)

Exploiting Application-to-Architecture Dependencies for Designing Scalable OS. - Yao Xiao; Nikos Kanakaris; Anzhe Cheng; Chenzhong Yin; Nesreen K. Ahmed; Shahin Nazarian; Andrei Irimia; Paul Bogdan (ICASSP, 2025)

MaskAttn-UNet: A Mask Attention-Driven Framework for Universal Low-Resolution Image Segmentation. - Anzhe Cheng; Chenzhong Yin; Yu Chang; Heng Ping; Shixuan Li; Shahin Nazarian; Paul Bogdan (CoRR, 2025)

Eigen Neural Network: Unlocking Generalizable Vision with Eigenbasis. - Anzhe Cheng; Chenzhong Yin; Mingxi Cheng; Shukai Duan 002; Shahin Nazarian; Paul Bogdan (CoRR, 2025)