Publications

Shengjun Zhang, Colleen P. Bailey (2022). Accelerated Zeroth-order Algorithm for Stochastic Distributed Nonconvex Optimization. In ACC 2022.

Shengjun Zhang, Tan Shen, Yunlong Dong, Heng Zhang (2022). Zeroth-Order Stochastic Coordinate Methods for Decentralized Non-convex Optimization. In IEEE L-SP (In Submission).

Xinlei Yi, Shengjun Zhang, Tao Yang, Tianyou Chai, Karl H. Johansson (2022). Sublinear and Linear Convergence of Modified ADMM for Distributed Nonconvex Optimization. In IEEE TCNS.

Xinlei Yi, Shengjun Zhang, Tao Yang, Karl H. Johansson (2022). Zeroth-order Algorithms for Distributed Stochastic Nonconvex Optimization. In Automatica.

Xinlei Yi, Shengjun Zhang, Tao Yang, Tianyou Chai, Karl H. Johansson (2022). A Primal-Dual SGD Algorithm for Distributed Nonconvex Optimization. In IEEE-JAS.

Xinlei Yi, Shengjun Zhang, Tao Yang, Tianyou Chai, Karl H. Johansson (2022). Communication Compression for Distributed Nonconvex Optimization. In IEEE TAC (Under Review).

Shengjun Zhang, Yunlong Dong, Dong Xie, Lisha Yao, Colleen P. Bailey, Shengli Fu (2021). Convergence Analysis of Nonconvex Distributed Stochastic Zeroth-order Coordinate Method. In CDC 2021.

Shengjun Zhang, Colleen P. Bailey (2021). Accelerated Primal-Dual Algorithm for Distributed Nonconvex Optimization. In IEEE SSCI 2021.

Shengjun Zhang, Colleen P. Bailey (2021). A Primal-Dual Algorithm for Distributed Sparse Principal Component Analysis. In ICDSCA 2021.

Xinlei Yi, Shengjun Zhang, Tao Yang, Tianyou Chai, Karl H. Johansson (2021). Linear Convergence of First- and Zeroth-Order Primal-Dual Algorithms for Distributed Nonconvex Optimization. In IEEE TAC.

Yunlong Dong, Shengjun Zhang, Xing Liu, Yu Zhang, Tan Shen (2021). Variance Aware Reward Smoothing for Deep Reinforcement Learning. In Neurocomputing.

Tao Yang, Lei Xu, Xinlei Yi, Shengjun Zhang, Yuzhe Li (2021). Event-Triggered Proportional-Integral Algorithms for Distributed Optimization (Invited Session Extended Abstract). In CCC2021.

Tao Yang, Lei Xu, Xinlei Yi, Shengjun Zhang, Ruijuan Chen, Yuzhe Li (2021). Event-triggered Distributed Optimization Algorithms (in Chinese). In ACTA AUTOMATICA SINICA (自动化学报).

Xinlei Yi, Shengjun Zhang, Tao Yang, Tianyou Chai, Karl H. Johansson (2020). Linear Convergence for Distributed Optimization Without Strong Convexity. In CDC 2020.

Shengjun Zhang, Colleen P. Bailey (2020). Optimal Control Under Communication Constraints for Multi-agent Unmanned Vehicles. In SPIE Security + Defence.

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Xinlei Yi, Shengjun Zhang, Tao Yang, Tianyou Chai, Karl H. Johansson (2020). Exponential Convergence for Distributed Smooth Optimization Under the Restricted Secant Inequality Conditions. In IFAC 2020.

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Shengjun Zhang, Colleen P. Bailey (2020). Obstacle Avoidance and Navigation Utilizing Reinforcement Learning with Reward Shaping. In SPIE Defense + Commercial Sensing.

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Xinlei Yi, Shengjun Zhang, Tao Yang, Junfeng Wu, Karl H. Johansson (2019). Event-Triggered Control for Consensus of Multi-Agent Systems with Output Saturation and Directed Topologies. In CCC 2019.

Shengjun Zhang, Xinlei Yi, Jemin George, Tao Yang (2019). Computational Convergence Analysis of Distributed Optimization Algorithms for Directed Graphs. In ICCA 2019 (Best Student Paper Shorten List).

Wen Du, Xinlei Yi, Shengjun Zhang, Jemin George, Tao Yang (2019). Distributed Proportional-Integral Optimization Algorithms with Event-triggered Communication.

Junfeng Wu, Shengjun Zhang, Tao Yang, Ling Shi, Hong Wang (2018). Distributed Economic Dispatch over Networks with Markovian Communication Losses.

Yahui Chen, Jianhan Lin, Qing Jiang, Qi Chen, Shengjun Zhang, Li Li (2016). A Magnetic Nanoparticle Based Nucleic Acid Isolation and Purification Instrument for DNA Extraction of Escherichia Coli O157: H7. In Journal of Nanoscience and Nanotechnology.