Zilong Tan

According to our database, Zilong Tan authored at least 14 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Fully Distributed Event-Driven Coordination With Actuator Faults.

Jiayue Sun, Zilong Tan, Shu Liu, Huaguang Zhang, Wenyu Chuo

IEEE Trans. Cybern., October, 2023

Fully distributed dynamic event-triggered output regulation for heterogeneous linear multiagent systems under fixed and switching topologies.

Zilong Tan, Juan Zhang, Yuqing Yan, Jiayue Sun, Huaguang Zhang

Neural Comput. Appl., June, 2023

2022

Event-triggered adaptive integral reinforcement learning method for zero-sum differential games of nonlinear systems with incomplete known dynamics.

Pengda Liu, Huaguang Zhang, Jiayue Sun, Zilong Tan

Neural Comput. Appl., 2022

Chaos synchronization control for stochastic nonlinear systems of interior PMSMs based on fixed-time stability theorem.

Zilong Tan, Yang Liu, Jiayue Sun, Huaguang Zhang, Xiangpeng Xie

Appl. Math. Comput., 2022

2021

Interpreting Write Performance of Supercomputer I/O Systems with Regression Models.

Bing Xie, Zilong Tan, Philip H. Carns, Jeffrey S. Chase, Kevin Harms, Jay F. Lofstead, Sarp Oral, Sudharshan S. Vazhkudai, Feiyi Wang

Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

2020

Model Reduction of Shallow CNN Model for Reliable Deployment of Information Extraction from Medical Reports.

Abhishek Kumar Dubey, Alina Peluso, Jacob D. Hinkle, Devanshu Agarawal, Zilong Tan

CoRR, 2020

Learning Fair Representations for Kernel Models.

Zilong Tan, Samuel Yeom, Matt Fredrikson, Ameet Talwalkar

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Applying Machine Learning to Understand Write Performance of Large-scale Parallel Filesystems.

Bing Xie, Zilong Tan, Philip H. Carns, Jeffrey S. Chase, Kevin Harms, Jay F. Lofstead, Sarp Oral, Sudharshan S. Vazhkudai, Feiyi Wang

Proceedings of the IEEE/ACM Fourth International Parallel Data Systems Workshop, 2019

2018

Approximate Inference for High-Dimensional Latent Variable Models.

Zilong Tan

PhD thesis, 2018

Learning Integral Representations of Gaussian Processes.

Zilong Tan, Sayan Mukherjee

CoRR, 2018

Scalable Algorithms for Learning High-Dimensional Linear Mixed Models.

Zilong Tan, Kimberly Roche, Xiang Zhou, Sayan Mukherjee

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

2017

Efficient Learning of Graded Membership Models.

Zilong Tan, Sayan Mukherjee

CoRR, 2017

Partitioned Tensor Factorizations for Learning Mixed Membership Models.

Zilong Tan, Sayan Mukherjee

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Tempo: Robust and Self-Tuning Resource Management in Multi-tenant Parallel Databases.

Zilong Tan, Shivnath Babu

Proc. VLDB Endow., 2016