Research

Publications and Manuscripts

Teamwork RL with Concave Utilities

• Zheng Yu, Junyu Zhang, Zheng Wen, Andrea Tacchetti, Mengdi Wang, Ian Gemp

• Submitted to IEEE-TMC, 2023.

Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth Channel and Vulnerability

• Zhao Song*, Yitan Wang*, Zheng Yu*, Lichen Zhang*

• ICML 2023

Deep Reinforcement Learning for Cost-Effective MedicalDiagnosis

• Zheng Yu, Yikuan Li, Joseph Kim, Kaixuan Huang, Yuan Luo, Mengdi Wang

• ICLR 2023

Fast Graph Neural Tangent Kernel via Kronecker Sketching

• Shunhua Jiang*, Yunze Man*, Zhao Song*, Zheng Yu*, Danyang Zhuo*

• AAAI 2022

On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method

• Junyu Zhang, Chengzhuo Ni, Zheng Yu, Csaba Szepesvari, Mengdi Wang

• Neurips 2021

Oblivious Sketching-based Central Path Method for Linear Programming 

• Zhao Song*, Zheng Yu*

• ICML 2021

Fast Sketching of Polynomial Kernels of Polynomial Degree

• Zhao Song*, David P. Woodruff*, Zheng Yu*, Lichen Zhang*

• ICML 2021

Generalized Leverage Score Sampling for Neural Networks

• Jason Lee*, Ruoqi Shen*, Zhao Song*, Mengdi Wang*, Zheng Yu*

• Neurips 2020

Scalable Lattice Influence Maximization

• Wei Chen*, Ruihan Wu*, Zheng Yu*

• IEEE-TCSS 2020

Online Factorization and Partition of Complex Networks from Random Walks

• Lin Yang*, Zheng Yu*, Vladimir Braverman, Tuo Zhao, Mengdi Wang

• UAI 2019

Decentralized RLS with Data-Adaptive Censoring for Regressions over Large-Scale Networks

• Zifeng Wang, Zheng Yu, Qing Ling, Dimitris Berberidis, Georgios B. Giannakis

• IEEE-TSP 2018

Distributed Recursive Least-Squares with Data-Adaptive Censoring

• Zifeng Wang, Zheng Yu, Qing Ling, Dimitris Berberidis, Georgios B. Giannakis

• ICASSP 2017