Zilong Tan

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 15

Top Topics

Nonlinear Systems

Regression Model

Gaussian Process

Reinforcement Learning

Top Venues

Neural Comput. Appl.

IEEE Trans. Cybern.

Publications

Jiayue Sun, Zilong Tan, Shu Liu, Huaguang Zhang, Wenyu Chuo
Fully Distributed Event-Driven Coordination With Actuator Faults. IEEE Trans. Cybern. 53 (10) (2023)
Zilong Tan, Juan Zhang, Yuqing Yan, Jiayue Sun, Huaguang Zhang
Fully distributed dynamic event-triggered output regulation for heterogeneous linear multiagent systems under fixed and switching topologies. Neural Comput. Appl. 35 (16) (2023)
Zilong Tan, Yang Liu, Jiayue Sun, Huaguang Zhang, Xiangpeng Xie
Chaos synchronization control for stochastic nonlinear systems of interior PMSMs based on fixed-time stability theorem. Appl. Math. Comput. 430 (2022)
Pengda Liu, Huaguang Zhang, Jiayue Sun, Zilong Tan
Event-triggered adaptive integral reinforcement learning method for zero-sum differential games of nonlinear systems with incomplete known dynamics. Neural Comput. Appl. 34 (13) (2022)
Bing Xie, Zilong Tan, Philip H. Carns, Jeffrey S. Chase, Kevin Harms, Jay F. Lofstead, Sarp Oral, Sudharshan S. Vazhkudai, Feiyi Wang
Interpreting Write Performance of Supercomputer I/O Systems with Regression Models. IPDPS (2021)
Abhishek Kumar Dubey, Alina Peluso, Jacob D. Hinkle, Devanshu Agarawal, Zilong Tan
Model Reduction of Shallow CNN Model for Reliable Deployment of Information Extraction from Medical Reports. CoRR (2020)
Zilong Tan, Samuel Yeom, Matt Fredrikson, Ameet Talwalkar
Learning Fair Representations for Kernel Models. AISTATS (2020)
Zilong Tan, Samuel Yeom, Matt Fredrikson, Ameet Talwalkar
Learning Fair Representations for Kernel Models. CoRR (2019)
Bing Xie, Zilong Tan, Philip H. Carns, Jeffrey S. Chase, Kevin Harms, Jay F. Lofstead, Sarp Oral, Sudharshan S. Vazhkudai, Feiyi Wang
Applying Machine Learning to Understand Write Performance of Large-scale Parallel Filesystems. PDSW@SC (2019)
Zilong Tan, Kimberly Roche, Xiang Zhou, Sayan Mukherjee
Scalable Algorithms for Learning High-Dimensional Linear Mixed Models. UAI (2018)
Zilong Tan, Kimberly Roche, Xiang Zhou, Sayan Mukherjee
Scalable Algorithms for Learning High-Dimensional Linear Mixed Models. CoRR (2018)
Zilong Tan, Sayan Mukherjee
Learning Integral Representations of Gaussian Processes. CoRR (2018)
Zilong Tan, Sayan Mukherjee
Efficient Learning of Graded Membership Models. CoRR (2017)
Zilong Tan, Sayan Mukherjee
Partitioned Tensor Factorizations for Learning Mixed Membership Models. ICML (2017)
Zilong Tan, Shivnath Babu
Tempo: Robust and Self-Tuning Resource Management in Multi-tenant Parallel Databases. Proc. VLDB Endow. 9 (10) (2016)
Zilong Tan, Shivnath Babu
Tempo: Robust and Self-Tuning Resource Management in Multi-tenant Parallel Databases. CoRR (2015)