Talks

Exploration Through Reward Biasing: Bandit Learning via Reward-Biased Maximum Likelihood Estimation

• TAAI AI Forum at National Taipei University of Technology, October 2021

Rethinking Policy Improvement in Reinforcement Learning: Two Case Studies

• Neuroscience Seminar, National Yang Ming Chiao Tung University, September 2021

Reinforcement Learning and Bandits: Two Case Studies

• Computer Science Seminar, National Taiwan Normal University, April 2021, Taipei, Taiwan

Bandit Learning: Addressing Explore-Exploit Dilemma With No Regret

• Computer Science Seminar, National Chiao Tung University (NCTU), November 2020, Hsinchu, Taiwan

Bandit Learning: Optimality, Scalability, and Reneging

• Communication Engineering Seminar, National Taipei University (NTPU), December 2019, Taipei, Taiwan

Stay With Me: Lifetime Maximization Through Heteroscedastic Linear Bandits With Reneging

• ICML, June 2019, Long Beach, CA, USA

Providing Ultra-Low Latency for Wireless Networks: From Theory to Practice

• CS Department, National Chiao Tung University (NCTU), November 2018, Hsinchu, Taiwan

PULS: Processor-Supported Ultra-Low Latency Scheduling

• TAMU ECE Seminar, November 2018, College Station, TX, USA

Throughput-Optimal Scheduling for Multi-Hop Networked Transportation Systems With Switch-Over Delay

• ITA Graduation Day, February 2018, San Diego, CA, USA

• ACM MobiHoc, July 2017, Chennai, India

IoT-Oriented Network Algorithms: Theory and Implementation

• CS Department, National Chiao Tung University (NCTU), December 2017, Hsinchu, Taiwan

• EE Department, National Tsing Hua University (NTHU), December 2017, Hsinchu, Taiwan

• Communication Engineering Seminar, National Taiwan University (NTU), December 2017, Taipei, Taiwan

• EE Seminar, National Cheng Kung University (NCKU), December 2017, Tainan, Taiwan

• CITI, Academia Sinica, December 2017, Taipei, Taiwan

An Experimental Study on Coverage Enhancement of LTE Cat-M1 for Machine-Type Communication

• IEEE ICC, May 2018, Kansas City, MO, USA

Heavy-Traffic Analysis of QoE Optimality for On-Demand Video Streams Over Fading Channels

• IEEE INFOCOM, April 2016, San Francisco, CA, USA

WiMAC: Rapid Implementation Platform for User Definable MAC Protocols Through Separation

• ACM SIGCOMM (demo), August 2015, London, UK

QoE-Optimal Scheduling for On-Demand Video Streams Over Unreliable Wireless Networks

• ACM MobiHoc, June 2015, Hangzhou, China

Maximum-Throughput Intersection Scheduling in Connected Environment with Switch-Over Time

• Connected Vehicle Workshop of the 1st Texas A&M Transportation Technology Conference, May 2016, College Station, TX, USA