Distributed thermal-aware task scheduling for 3D Network-on-Chip. - Yingnan Cui; Wei Zhang 012; Hao Yu 001 (ICCD, 2012)

Decentralized agent based re-clustering for task mapping of tera-scale network-on-chip system. - Yingnan Cui; Wei Zhang 012; Hao Yu 001 (ISCAS, 2012)

A discrete thermal controller for chip-multiprocessors. - Yingnan Cui; Wei Zhang 012; Bingsheng He (DATE, 2016)

Thermal-Aware Task Scheduling for 3D-Network-on-Chip: A Bottom to Top Scheme. - Yingnan Cui; Wei Zhang 012; Vivek Chaturvedi; Weichen Liu; Bingsheng He (J. Circuits Syst. Comput., 2016)

Decentralized Thermal-Aware Task Scheduling for Large-Scale Many-Core Systems. - Yingnan Cui; Wei Zhang 012; Vivek Chaturvedi; Bingsheng He (IEEE Trans. Very Large Scale Integr. Syst., 2016)

Thermal management for large-scale multi-core processors - Yingnan Cui (2016)

Two-stage thermal-aware scheduling of task graphs on 3D multi-cores exploiting application and architecture characteristics. - Zuomin Zhu; Vivek Chaturvedi; Amit Kumar Singh 002; Wei Zhang 012; Yingnan Cui (ASP-DAC, 2017)

A Variation-Aware Adaptive Fuzzy Control System for Thermal Management of Microprocessors. - Yingnan Cui; Wei Zhang 012; Bingsheng He (IEEE Trans. Very Large Scale Integr. Syst., 2017)

A System-Level Simulator for RRAM-Based Neuromorphic Computing Chips. - Matthew Kay Fei Lee; Yingnan Cui; Thannirmalai Somu; Tao Luo 014; Jun Zhou 014; Wai Teng Tang; Weng-Fai Wong; Rick Siow Mong Goh (ACM Trans. Archit. Code Optim., 2019)

A High-order Tuner for Accelerated Learning and Control. - Spencer McDonald; Yingnan Cui; Joseph E. Gaudio; Anuradha M. Annaswamy (CoRR, 2021)

A New Algorithm for Discrete-Time Parameter Estimation. - Yingnan Cui; Joseph E. Gaudio; Anuradha M. Annaswamy (CoRR, 2021)

Online Algorithms and Policies Using Adaptive and Machine Learning Approaches. - Anuradha M. Annaswamy; Anubhav Guha; Yingnan Cui; Joseph E. Gaudio; José M. Moreu (CoRR, 2021)

New Algorithms for Discrete-Time Parameter Estimation. - Yingnan Cui; Joseph E. Gaudio; Anuradha M. Annaswamy (ACC, 2022)

Accelerated Performance and Accelerated Learning with Discrete-Time High-Order Tuners. - Yingnan Cui; Anuradha M. Annaswamy (CDC, 2022)

Coreset: Hierarchical neuromorphic computing supporting large-scale neural networks with improved resource efficiency. - Liwei Yang; Huaipeng Zhang; Tao Luo 014; Chuping Qu; Myat Thu Linn Aung; Yingnan Cui; Jun Zhou 014; Ming Ming Wong; Junran Pu; Anh Tuan Do; Rick Siow Mong Goh; Weng-Fai Wong (Neurocomputing, 2022)

Corrigendum to "Coreset: Hierarchical neuromorphic computing supporting large-scale neural networks with improved resource efficiency" [Neurocomputing (2022) 128-140]. - Liwei Yang; Huaipeng Zhang; Tao Luo 014; Chuping Qu; Myat Thu Linn Aung; Yingnan Cui; Jun Zhou 014; Ming Ming Wong; Junran Pu; Anh Tuan Do; Rick Siow Mong Goh; Weng-Fai Wong (Neurocomputing, 2022)

NC-Net: Efficient Neuromorphic Computing Using Aggregated Subnets on a Crossbar-Based Architecture With Nonvolatile Memory. - Tao Luo 014; Liwei Yang; Huaipeng Zhang; Chuping Qu; Xuan Wang; Yingnan Cui; Weng-Fai Wong; Rick Siow Mong Goh (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

Discrete-Time High Order Tuner With A Time-Varying Learning Rate. - Yingnan Cui; Anuradha M. Annaswamy (ACC, 2023)

Contrastive domain adaptation with consistency match for automated pneumonia diagnosis. - Yangqin Feng; Zizhou Wang; Xinxing Xu; Yan Wang 015; Huazhu Fu; Shaohua Li 003; Liangli Zhen; Xiaofeng Lei; Yingnan Cui; Jordan Zheng Ting Sim; Yonghan Ting; Joey Tianyi Zhou; et al. (Medical Image Anal., 2023)

Integration of Adaptive Control and Reinforcement Learning for Real-Time Control and Learning. - Anuradha M. Annaswamy; Anubhav Guha; Yingnan Cui; Sunbochen Tang; Peter A. Fisher; Joseph E. Gaudio (IEEE Trans. Autom. Control., 2023)