Ping-Chun Hsieh

 

Assistant Professor
Department of Computer Science,
National Yang Ming Chiao Tung University (NYCU)
Office: EC 713 (工程三館713室)
Lab: EC 237 (工程三館237室)
Email: pinghsieh [AT] nctu [DOT] edu [DOT] tw
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About me

Welcome! I am an Assistant Professor at the Department of Computer Science in National Yang Ming Chiao Tung University. My research focuses on multi-armed bandits, reinforcement learning, Bayesian optimization, and stochastic optimization for wireless networks. For more details, please see Initiatives.

To Prospective Students

  • (111年度碩博錄取生歡迎來信詢問) I am currently looking for highly-motivated students who are interested in either theoretical or system aspects of bandit learning, reinforcement learning, Bayesian optimization, or other related areas. Both graduate and undergraduate students at NCTU are welcome to discuss with me if you are interested in my research. For those of you who are interested in doing cool and principled research, you may also find Research 101 rather useful :)

News

  • [Oct. 2021] Two papers are accepted to NeurIPS 2021! The titles are "Reinforced Few-Shot Acquisition Function Learning for Bayesian Optimization" and "NeurWIN: Neural Whittle Index Network for Restless Bandits via Deep RL." Congratulations to our group member Bing-Jing Hsieh (謝秉瑾)!

  • [Oct. 2021] I gave a talk at TAAI AI Forum 2021, and the title is "Exploration Through Reward Biasing: Bandit Learning via Reward-Biased Maximum Likelihood Estimation."

  • [Sept. 2021] I gave a talk at the Institute of Neuroscience in NYCU, and the topic is "Rethinking Policy Improvement in Reinforcement Learning: Two Case Studies."

  • [Jun. 2021] Our undergraduate group member Cheng-Yu Chung (鍾承佑) (along with his teammates Bing-Zhi Ke (柯秉志) and Yu-Lun Hsu (徐煜倫)) is awarded the MOST Research Grant for University Students. Congratulations!

  • [May. 2021] Our paper, "Escaping from Zero Gradient: Revisiting Action-Constrained Reinforcement Learning via Frank-Wolfe Policy Optimization," is accepted to UAI 2021! Congratulations to our group members Jyun-Li Lin (林峻立), Wei Hung (洪偉), and Shang-Hsuan Yang (楊上萱)!

  • [Apr. 2021] I gave a talk at the Department of Computer Science in NTNU, and the talk is on "Reinforcement Learning and Bandits: Two Case Studies."

  • [Dec. 2020] A paper, "Reward-Biased Maximum Likelihood Estimation for Linear Stochastic Bandits," is accepted to AAAI 2021! Congratulations to our group member Yu-Heng Hung (洪鈺恆)!

  • [Oct. 2020] Our paper, "Fresher Content or Smoother Playback? A Brownian-Approximation Framework for Scheduling Real-Time Wireless Video Streams," received the Best Paper Award from MobiHoc 2020!

  • [Oct. 2020] Our paper, "Rethinking Deep Policy Gradient via State-Wise Policy Improvement," is accepted to ICBINB Workshop @ NeurIPS 2020.

  • [Jun. 2020] Our paper, "Exploration Through Reward Biasing: Reward-Biased Maximum Likelihood Estimation for Stochastic Multi-Armed Bandits ", is accepted to ICML 2020!

  • [Apr. 2020] A paper, "Fresher Content or Smoother Playback? A Brownian-Approximation Framework for Scheduling Real-Time Wireless Video Streams," is accepted to MobiHoc 2020!

  • [Dec. 2019] I gave a talk at Academia Sinica and the Department of Communication Engineering in NTPU on "Bandit Learning: Optimality, Scalability, and Reneging."

  • [Jun. 2019] I attended ICML 2019 in Long Beach, CA ang gave a presentation on "Stay With Me: Lifetime Maximization Through Heteroscedastic Linear Bandits With Reneging."

  • [Apr. 2019] A paper, "Stay With Me: Lifetime Maximization Through Heteroscedastic Linear Bandits With Reneging," is accepted to ICML 2019!

  • [Feb. 2019] I am awarded the Young Scholar Fellowship (愛因斯坦計畫) from Ministry of Science and Technology (MOST) in Taiwan.

  • [Nov. 2018] I gave a talk at the CS Department in NCTU on "Providing Ultra-Low Latency for Wireless Networks: From Theory to Practice."

  • [Nov. 2018] I gave a talk at the TAMU ECE seminar on "PULS: Processor-Supported Ultra-Low Latency Scheduling."

  • [Jun. 2018] A paper, "Heavy-Traffic Analysis of QoE Optimality for On-Demand Video Streams Over Fading Channels," is accepted to IEEE/ACM Transactions on Networking.

  • [May. 2018] I attended ICC 2018 in Kansas City, MO and gave a presentation on "An Experimental Study on Coverage Enhancement of LTE Cat-M1 for Machine-Type Communication."

  • [May. 2018] I passed my final defense and received my Ph.D. degree from ECE at TAMU. The thesis titile is "Network Algorithms for Control and Communication for IoT Applications."

  • [Apr. 2018] A paper, "A Decentralized Medium Access Protocol for Real-Time Wireless Ad Hoc Networks With Unreliable Transmissions," is accepted to IEEE ICDCS 2018.

  • [Mar. 2018] A paper, "PULS: Processor-Supported Ultra-Low Latency Scheduling," is accepted to ACM MobiHoc 2018.

  • [Feb. 2018] I attended the ITA Workshop in San Diego, CA and gave an invited presentation at the Graduation Day session on "Throughput-Optimal Scheduling for Multi-Hop Networked Transportation Systems With Switch-Over Delay."