Xueying Guo(郭雪莹), Ph.D.

Software Engineer (Machine Learning), Google, Seattle 2019.02-present

- Traffic Quality team in Google Maps

- Apply Machine Learning (Graph Nets) for Supersegment in Traffic ETA prediction.

Postdoc Researcher in Department of Computer Science, University of California, Davis 2017.02-2019.02

- Focusing on Machine Learning, especially on Reinforcement Learning, Bandit Problems, Data-Driven Approach in Networking.

Ph.D. Information and Communication Engineering, Tsinghua University, Beijing, China 2011.09-2017.01

Visiting Scholar Department of Electrical and Computer Engineering, Texas A&M University, Texas, USA 2013.10-2014.10

B.E. Department of Electronic Engineering, Tsinghua University, Beijing, China 2007.08-2011.07

Exchange Student State University of New York at Stony Brook, New York, USA 2009.08-2009.12

Research Intern System Algorithms Group (cloud & mobile), Microsoft Research Asia 2016.06-2016.09

Student Leader Tsinghua Student Group for Future Communications 2011.08-2013.07

Team Lead "Flaxi" Convenient Car Sharing System 2011

Intern R&D center in Beijing, Ericsson (China) Communicaitons Co. Ltd Summer 2010

Intern RF front-end simulation system, Altobeam IC Design Company Winter 2010

IEEE International Teletraffic Congress (ITC) Best Student Paper Award 2013.09

Tsinghua University Top-Grade Scholarship (Highest Honor 5/3349) 2010.12

Goldman Sachs Global Leaders Award 2009

Excellent Graduate of Beijing City (Top 5% Ph.D. Graduates in Tsinghua University) 2017.01

Guanghua Scholarship 2016.11

Award of Excellence in Microsoft Research Asia Internship Program 2016.09

Guanghua Scholarship 2015.12

Tsinghua Technology Scholarship Award 2012.12

ESS Inc. Scholarship 2012.12

Tsinghua Excellent New Graduate Student Scholarship 2011.08

The First Prize of Ericsson Application Award China 2011.03

Chinese National Scholarship 2008.11

Click here or the tab (top right cornor) for more details

• ETA Prediction in Traffic Networks

• Opportunistic Learning in Bandit & Reinforcement Learning Problems

• Data-Driven Approach in Networking

• Delay-Aware Cost-Efficient Task Assignment in Edge Cloud Systems

• Optimal Scheduling Policies for Inter-delivery Time Requirements

• Energy-Delay Tradeoff in Optimal Base Station Sleeping Control

citations in Google Scholar

Xiaoxiao Wang, Xueying Guo, Jie Chuai, Zhitang Chen and Xin Liu. Kernel-based Multi-Task Contextual Bandits in Cellular Network Configuration, IEEE International Conference on Big Data (BigData), 2019. (Acceptance rate: 19.3%).

Xueying Guo, Xiaoxiao Wang, Xin Liu, AdaLinUCB: Opportunistic Learning for Contextual Bandits, International Joint Conference on Artificial Intelligence (IJCAI) 2019. (Acceptance rate: 17.9%)

Jie Chuai, Zhitang Chen, Guochen Liu, Xueying Guo, Xiaoxiao Wang, Xin Liu, Chongming Zhu, Feiyi Shen, A Collaborative Learning Based Approach for Parameter Configuration of Cellular Networks, IEEE INFOCOM 2019. (Acceptance rate: 19.7% )

Yuxuan Sun, Xueying Guo, Jinhui Song, Sheng Zhou, Zhiyuan Jiang, Xin Liu, Zhisheng Niu, Adaptive Learning-Based Task Offloading for Vehicular Edge Computing Systems, IEEE Transactions on Vehicular Technology (TVT), vol. 68, No. 4, 2019. (Impact factor: 5.339).

Xueying Guo, Rahul Singh, P. R. Kumar, Zhisheng Niu, A Risk-Sensitive Approach for Packet Inter-Delivery Time Optimization in Networked Cyber-Physical Systems, IEEE/ACM Transactions on Networking (ToN), vol. 26, no. 4, 2018. (Impact factor: 3.597)

Xueying Guo, George Trimponias, Xiaoxiao Wang, Zhitang Chen, Yanhui Geng, Xin Liu, Learning-Based Joint Configuration for Cellular Networks, IEEE Internet of Things Journal, vol. 5, No. 6, 2018. (Impact factor: 9.515)

Huasen Wu, Xueying Guo, Xin Liu, Adaptive Exploration-Exploitation Tradeoff for Opportunistic Bandits, International Conference on Machine Learning (ICML), 2018.(Acceptance rate: 25%)

Yuxuan Sun, Xueying Guo, Sheng Zhou, Zhiyuan Jiang, Xin Liu, Zhisheng Niu, Learning-Based Task Offloading for Vehicular Cloud Computing Systems, IEEE International Conference on Communications (ICC), 2018. (Acceptance rate: 39.99%)

Zhiyuan Jiang, Sheng Zhou, Xueying Guo, Zhisheng Niu, Task Replication for Deadline-Constrained Vehicular Cloud Computing: Optimal Policy, Performance Analysis, and Implications on Road Traffic, IEEE Internet of Things Journal, vol. 5, no.1, 2018. (Impact factor: 9.515)

Yuxuan Sun, Jinhui Song, Sheng Zhou, Xueying Guo, Zhisheng Niu, Task Replication for Vehicular Edge Computing: A Combinatorial Multi-Armed Bandit based Approach, IEEE Globecom, 2018. (Acceptance rate: 38%)

Xueying Guo, George Trimponias, Xiaoxiao Wang, Zhitang Chen, Yanhui Geng, Xin Liu, Cellular Network Configuration via Online Learning and Joint Optimization, IEEE International Conference on Big Data (BigData), 2017. (Acceptance rate: 20%)

Xueying Guo, Bingjie Leng, Jian Wu, Zhisheng Niu, Energy-delay tradeoff and optimal base station sleeping control in hyper-cellular networks, SCIENTIA SINICA Informationis journal, vol. 47, no. 6, 2017.

Bingjie Leng, Xueying Guo, Xi Zheng, Bhaskar Krishnamachari, Zhisheng Niu, A Wait-and-See Two-Threshold Optimal Sleeping Policy for a Single Server with Bursty Traffic, IEEE Transactions on Green Communications and Networking, vol. 1, no. 4, 2017.

Rahul Singh, Xueying Guo, Eytan Modiano, Risk-Sensitive Optimal Control of Queues, IEEE 56^th Annual Conference on Decision and Control (CDC), 2017.

Tianchu Zhao, Sheng Zhou, Xueying Guo, Zhisheng Niu, Tasks Scheduling and Resource Allocation in Heterogeneous Cloud for Delay-bounded Mobile Edge Computing, IEEE International Conference on Communications (ICC), 2017. (Acceptance rate: 38%)

Xueying Guo, Zhisheng Niu, Sheng Zhou, P. R. Kumar, Delay-Constrained Energy-Optimal Base Station Sleeping Control, IEEE J. Sel. Areas Commun. (JSAC), vol. 34, no. 5, 2016. (Impact factor: 9.302)

Xueying Guo, Rahul Singh, Tianchu Zhao, Zhisheng Niu, An Index Based Task Assignment Policy for Achieving Optimal Power-Delay Tradeoff in Edge Cloud Systems, IEEE International Conference on Communications (ICC) 2016. (Acceptance Rate: 39%.)

Bingjie Leng, Bhaskar Krishnamachari, Xueying Guo, Zhisheng Niu, Optimal Operation of a Green Server with Bursty Traffic, IEEE GLOBECOM 2016. (Acceptance rate: 37%)

Tianchu Zhao, Sheng Zhou, Xueying Guo, Yun Zhao, Zhisheng Niu, Pricing Policy and Computational Resource Provisioning for Delay-aware Mobile Edge Computing, IEEE International Conference on Communications in China (ICCC), 2016. (Acceptance rate: 48%)

Xueying Guo, Rahul Singh, P. R. Kumar, Zhisheng Niu, A High Reliability Asymptotic Approach for Packet Inter-Delivery Time Optimization in Cyber-Physical Systems, ACM MobiHoc 2015. (Acceptance rate: 14.8%.)

Xueying Guo, Rahul Singh, P. R. Kumar, Zhisheng Niu, Optimal Energy-Efficient Regular Delivery of Packets in Cyber-Physical Systems, IEEE International Conference on Communications (ICC) 2015. (Acceptance rate: 38%.)

Rahul Singh, Xueying Guo, P. R. Kumar, Index Policies for Optimal Mean-Variance Trade-Off of Inter-delivery Times in Real-Time Sensor Networks, IEEE INFOCOM 2015. (Acceptance rate: 19%)

Zhisheng Niu, Xueying Guo, Sheng Zhou, P. R. Kumar, Characterizing Energy-Delay Tradeoff in Hyper-Cellular Networks with Base Station Sleeping Control, IEEE J. Sel. Areas Commun. (JSAC), vol.33, no.4, 2015. (Impact factor: 9.302)

Tianchu Zhao, Sheng Zhou, Xueying Guo, Yun Zhao, Zhisheng Niu, A Cooperative Scheduling Scheme of Local Cloud and Internet Cloud for Delay-Aware Mobile Cloud Computing, IEEE GLOBECOM Workshop 2015. (Acceptance rate: 45%)

Xueying Guo, Sheng Zhou, P. R. Kumar, Zhisheng Niu, Optimal Wake-up Mechanism for Single Base Station with Sleep Mode, IEEE International Teletraffic Congress (ITC) 2013. (Acceptance rate: 35.1%) Recipient of the Best Student Paper Award

Zhisheng Niu, Jianan Zhang, Xueying Guo, Sheng Zhou, On Energy-Delay Tradeoff in Base Station Sleep Mode Operation, IEEE International Conference on Communication Systems (ICCS) 2012. Invited Paper.

TPC Members

- IEEE 27th International Conference on Computer Communications and Networks (ICCCN 2018)

- IEEE 86th Vehicular Technology Conference: VTC2017-Fall

- The 2019 edition of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2019).

Reviewers

- IEEE Journal on Selected Areas in Communications

- IEEE Transactions on Mobile Computing

- IEEE Transactions on Wireless Communications

- IEEE Transactions on Communications

- IEEE Transactions on Vehicular Technology

- IEEE Access Journal

- IEEE Transactions on Cognitive Communications and Networking

- IEEE Transactions on Green Communications and Networking

- IEEE Transactions on Network Science and Engineering

- IEEE Internet of Things Journal

- IEEE Transactions on Industrial Informatics

- IEEE Communications Letters

- IEEE Wireless Communications Letters

- SCIENCE CHINA Information Sciences Journal

- Journal of Communications and Networks

- Journal of Network and Computer Applications

- Heliyon Journal

- IEEE INFOCOM 2015

- IEEE ICC 2015, 2016

- IEEE PIMRC 2016

- IEEE WCNC 2016, 2018

- IEEE GLOBECOM 2015

- IEEE VTC 2017-Fall

- IEEE ICCCN 2018

- European Conference on Networks and Communications (EuCNC) 2016, 2017

- International Conference on Wireless Communications and Signal Processing (WCSP 2014)

- IEEE/CIC International Conference on Communications in China (ICCC) Workshops 2018

Fundamentals of Applied Information Theory Tsinghua University Spring 2013

Probability Theory and Stochastic Process Tsinghua University Fall 2012

Digital Signal Processing Lab and Design Tsinghua University Fall 2011