Welcome to Lei Yang's Homepage


Assistant Professor

Department of Computer Science and Engineering

University of Nevada, Reno Reno, NV 89557

Office: WPEB 427

Phone: (775) 682-6872

Email: leiy@unr.edu

URL: https://www.cse.unr.edu/~lyang/


Our paper SEFEE: Lightweight storage error forecasting in large scale enterprise storage systems has been accepted by SC20 (68/380=18%).

Our paper Blockchain for future smart grid: A comprehensive survey has been accepted by IEEE Internet of Things Journal.

Congradulations to Amir Ghasemkhani, who has accepted a tenure-track Assistant Professor position in the School of Computer Science and Engineering at California State University, San Bernardino!

Our project “REU Site: Cross-disciplinary Research Experience for Undergraduates on Big Data Analytics in Smart Cities” is funded by NSF! REU Application

Wireless Communications and Mobile Computing Special Issue on “Recent Advances in Cloud-Aware Mobile Fog Computing 2020,” Submission Deadline: April 24, 2020

Our paper Reinforcement Learning Empowered MLaaS Scheduling for Serving Intelligent Internet of Things has been accepted by IEEE Internet of Things Journal.

Our paper Deepgrid: Robust deep reinforcement learning-based contingency management has been accepted by IEEE ISGT 2020.

Our paper Intelligent edge: Leveraging deep imitation learning for mobile edge computation offloading has been accepted by IEEE Wireless Communications.

Congradulations to Amir Ghasemkhani for successfully defending his dissertation today (11/25/2019)!

IEEE Internet of Things Journal Special Issue on “Artificial Intelligence Powered Edge Computing for Internet of Things,” Submission Deadline: December 15, 2019

Our paper Privacy-preserving database assisted spectrum access for industrial Internet of things: A distributed learning approach has been accepted by IEEE Transactions on Industrial Electronics.

Our project “A Robust Event Diagnostics Platform: Integrating Tensor Analytics and Machine Learning Into Real-time Grid Monitoring” is funded by DOE!

Our paper Swift Deep Learning Serving Scheduling: A Region Based Reinforcement Learning Approach has been accepted by SC19 (78/344=22%).

Our paper Modeling Error Learning based Post-Processor Framework for Hydrologic Models Accuracy Improvement has been accepted by the journal Geoscientific Model Development (GMD).

Our paper Learning-based demand response for privacy-preserving users has been accepted by IEEE Transactions on Industrial Informatics.

Our paper Dynamic pricing for privacy-preserving mobile crowdsensing: A reinforcement learning approach has been accepted by IEEE Network Magazine.

Our paper Node state monitoring scheme in fog radio access networks for intrusion detection has been accepted by IEEE Access.

Our project “BIGDATA: IA: Collaborative Research: Protecting Yourself from Wildfire Smoke: Big Data Driven Adaptive Air Quality Prediction Methodologies” is funded by NSF!

New NSF RET Site Grant “RET Site: Cross-disciplinary Research Experiences on Smart Cities for Nevada Teachers: Integrating Big Data into Robotics”! This NSF grant emphasizes on research experiences for Nevada Teachers in the fields of Robotics and Big Data.

Our paper on privacy-preserving data aggregation for crowdsensing has been accepted by MobiHoc’18 (30/178=16.9%).

Our paper on novel user authentication for smartwatches has been accepted by ASIACCS’18 (62/310=20.0%).

Our paper on privacy-preserving auction for crowdsensing has been accepted by CNS’18.

Our paper on wireless service pricing competition has been accepted by IEEE Transactions on Vehicular Technology.

Our research on investigating improved wind forecasting to harness clean energy potential was published as the TOP story in today's (01/08/2018) edition of the National Science Foundation Science360 News. The original and full story was published on the Solar Nexusproject website and also posted on the UNR's Nevada Today.


RA positions available. I am currently looking for highly self-motivated Ph.D. students who are strongly committed to research. If you are interested, please send your resume or CV, transcripts, TOEFL and GRE scores, and everything else that you believe will help your application to me in one email.

Information about admission can be found on the department website (http://www.unr.edu/degrees/computer-science-and-engineering/phd).

About Me

I am currently an Assistant Professor in the Department of Computer Science and Engineering at the University of Nevada, Reno. Previously, I was an Assistant Research Professor at School of Electrical, Computer and Energy Engineering of Arizona State University, and a Postdoctoral Scholar at ASU working with Professor Junshan Zhang and Professor Vijay Vittal and at Princeton University working with Professor Vincent Poor. I received my Ph.D. degree in Electrical Engineering from Arizona State University in Fall 2012 under the supervision of Professor Junshan Zhang. Before that, I received both my B.S. and M.S. degrees in Electrical Engineering from Radio Engineering Department of Southeast University, Nanjing, China, in 2005 and 2008, respectively