Publications by authors named "Zongli Lin"

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All-to-All Connected Oscillator Ising Machines and Their Application as Associative Memory.
Yi Cheng, Zongli Lin

IEEE Trans Neural Netw Learn Syst· October 2025

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Distributed Generalized Nash Equilibrium Seeking for Linear Systems Over a Switching Network.
Xiongnan He, Zongli Lin

IEEE Trans Cybern· September 2025

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Impacts of graph structure on the computational properties of oscillator Ising machines.
Yi Cheng, Nikhil Shukla, Zongli Lin

Phys Rev E· April 2025

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Distributed algorithms of stochastic games for robot systems in smart manufacturing.
Xiongnan He, Zongli Lin, Qing Chang

Chaos· February 2025

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A control theoretic analysis of oscillator Ising machines.
Yi Cheng, Mohammad Khairul Bashar, Nikhil Shukla, Zongli Lin

Chaos· July 2024

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Reinforcement Learning Based Optimal Tracking Control Under Unmeasurable Disturbances With Application to HVAC Systems.
Syed Ali Asad Rizvi, Amanda J Pertzborn, Zongli Lin

IEEE Trans Neural Netw Learn Syst· December 2022

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Adaptive Dynamic Programming for Model-Free Global Stabilization of Control Constrained Continuous-Time Systems.
Syed Ali Asad Rizvi, Zongli Lin

IEEE Trans Cybern· February 2022

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CAT: Centerness-Aware Anchor-Free Tracker.
Haoyi Ma, Scott T Acton, Zongli Lin

Sensors (Basel)· January 2022

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Cancer diagnosis using generative adversarial networks based on deep learning from imbalanced data.
Yawen Xiao, Jun Wu, Zongli Lin

Comput Biol Med· August 2021

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PID Control for Synchronization of Complex Dynamical Networks With Directed Topologies.
Haibo Gu, Peng Liu, Jinhu Lu, Zongli Lin

IEEE Trans Cybern· March 2021

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SITUP: Scale Invariant Tracking using Average Peak-to-Correlation Energy.
Haoyi Ma, Scott T Acton, Zongli Lin

IEEE Trans Image Process· January 2020

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Output Feedback Q-Learning Control for the Discrete-Time Linear Quadratic Regulator Problem.
Syed Ali Asad Rizvi, Zongli Lin

IEEE Trans Neural Netw Learn Syst· May 2019

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Characterization of DNA Methylation Associated Gene Regulatory Networks During Stomach Cancer Progression.
Jun Wu, Yunzhao Gu, Yawen Xiao, Chao Xia, Hua Li, Jielin Sun, Zongli Lin

Front Genet· February 2019

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Reinforcement Learning-Based Linear Quadratic Regulation of Continuous-Time Systems Using Dynamic Output Feedback.
Syed Ali Asad Rizvi, Zongli Lin

IEEE Trans Cybern· January 2019

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A semi-supervised deep learning method based on stacked sparse auto-encoder for cancer prediction using RNA-seq data.
Yawen Xiao, Jun Wu, Zongli Lin, Xiaodong Zhao

Comput Methods Programs Biomed· November 2018

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Design of Distributed Observers in the Presence of Arbitrarily Large Communication Delays.
Kexin Liu, Jinhu Lu, Zongli Lin

IEEE Trans Neural Netw Learn Syst· September 2018

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Identification of Biomarkers for Predicting Lymph Node Metastasis of Stomach Cancer Using Clinical DNA Methylation Data.
Jun Wu, Yawen Xiao, Chao Xia, Fan Yang, Hua Li, Zongli Lin

Dis Markers· June 2018

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A deep learning-based multi-model ensemble method for cancer prediction.
Yawen Xiao, Jun Wu, Zongli Lin, Xiaodong Zhao

Comput Methods Programs Biomed· January 2018

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Consensus of a class of discrete-time nonlinear multi-agent systems in the presence of communication delays.
Haiyun Hu, Zongli Lin

ISA Trans· November 2017

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Special issue on "Distributed coordination control for multi-agent systems in engineering applications".
Lei Wang, Michael Z Q Chen, Zhiwei Gao, Chai Wah Wu, Zongli Lin

ISA Trans· November 2017

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Large scale gene regulatory network inference with a multi-level strategy.
Jun Wu, Xiaodong Zhao, Zongli Lin, Zhifeng Shao

Mol Biosyst· February 2016

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Convergence Rate for Discrete-Time Multiagent Systems With Time-Varying Delays and General Coupling Coefficients.
Yao Chen, Daniel W C Ho, Jinhu Lü, Zongli Lin

IEEE Trans Neural Netw Learn Syst· January 2016

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Distributed Synchronization Control of Multiagent Systems With Unknown Nonlinearities.
Shize Su, Zongli Lin, Alfredo Garcia

IEEE Trans Cybern· January 2016

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A system level analysis of gastric cancer across tumor stages with RNA-seq data.
Jun Wu, Xiaodong Zhao, Zongli Lin, Zhifeng Shao

Mol Biosyst· July 2015

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An effective differential expression analysis of deep-sequencing data based on the Poisson log-normal model.
Jun Wu, Xiaodong Zhao, Zongli Lin, Zhifeng Shao

J Bioinform Comput Biol· April 2015

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