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Huasen Wu (吴 华 森), Ph. D.

Software Engineer

Recommendation Team

Twitter Inc.

Huasen Wu is currently a software engineer at the Recommendation Team, Twitter Inc. He received his B.S. and Ph.D. degrees from the School of Electronic and Information Engineering, Beihang University, Beijing, in 2007 and 2014, respectively. He was a Postdoctoral Researcher working with Prof. Xin Liu at the Department of Computer Science, University of California, Davis. From December 2010 to January 2012, he was a visiting student at UC Davis, from May 2014 to August 2014, he was a visiting scholar at University of Illinois at Urbana-Champaign (UIUC), and from October 2012 to January 2014, he worked as a research intern at Wireless and Networking Group, Microsoft Research Asia (MSRA).

Research Interests:

Stochastic learning and optimization for wireless networks, crowdsourcing, and recommendation systems.

In particular, he is currently focusing on jointly machine learning and decision making for online optimization. Part of this work has been published at NIPS'15, NIPS'16, KDD'16, ICML'18. The results have many potential applications such as online advertising, recommendation, crowdsourcing, wireless resource allocation.

Other links:

LinkedIn: https://www.linkedin.com/in/huasenwu

Researchgate: https://www.researchgate.net/profile/Huasen_Wu

GitHub: https://github.com/HuasenWu

Recent News:

05/11/2018 Our paper "Adaptive Exploration-Exploitation Tradeoff for Opportunistic Bandits" got accepted by ICML 2018.

10/11/2016 Our paper "Shooting a Moving Target: Motion-Prediction-Based Trasmission for 360-Degree Videos" got accepted by IEEE Big Data 2016.

08/12/2016 Our paper "Double Thompson Sampling for Dueling Bandits" got accepted by NIPS 2016.

06/11/2016 Our paper "Application-Level Scheduling with Probabilistic Deadline Constraints" is published on IEEE/ACM Transactions on Networking, vol. 24, no. 3.

05/13/2016 Our paper "From Prediction to Action: Closed-Loop Approach for Data-Guided Network Resource Allocation" got accepted by ACM KDD 2016.

02/22/2016 Our paper "Learning-Aided Scheduling for Mobile Virtual Network Operators with QoS Constraints" got accepted by IEEE WiOpt 2016.

10/12/2015 I received the travel award (for students and <= 2 years postdoc) for NIPS 2015.

09/03/2015 Our paper "Algorithms with Logarithmic or Sublinear Regret for Constrained Contextual Bandits" got accepted by NIPS 2015.

08/10/2015 Our paper "CoSchd: Coordinated Scheduling with Channel- and Load-Awareness for Alleviating Cellular Congestion" got accepted by IEEE/ACM Transactions on Networking.