陳柏安 Chen, Po-An
中文- Publish Date：2024-12-13
- Update Date：2025-07-02
- Units：Institute of Hospital and Health Care Administration
陳柏安
Chen, Po-An
Chen, Po-An
+886-2-2826-7000 #57404
poanchen@nycu.edu.tw
MB303, Management Building 2, Guangfu CampusAcademic Degrees
- Ph.D. in Computer Science, University of Southern California (USC)
- M.S. in Computer Science, University of Southern California (USC)
- M.B.A. in Information Management, National Taiwan University (NTU)
- B.B.A. in Information Management, National Taiwan University (NTU)
Experience
- Associate Professor, Institute of Information Management, National Yang Ming Chiao Tung University
- Visiting Scholar, Department of Computer Science, SEAS, Harvard University (Aug 2017 - Jul 2018)
- Visiting Scholar, Institute of Information Science (IIS), Academia Sinica
- Postdoc, Institute of Information Science (IIS), Academia Sinica
- Research Intern, Center for Mathematics and Information (CWI), Amsterdam
Research Interests
Algorithmic game theory, Machine learning (online learning, reinforcement learning), Distributed and multiagent systems, Social networks
Algorithmic game theory, Machine learning (online learning, reinforcement learning), Distributed and multiagent systems, Social networks
Ongoing Research Grants
- Towards Convergences in Subclasses of Markov Games via Multiagent Online/Reinforcement Learning: Scenarios of Robust Market Making, NSTC 1/08/2024 - 31/07/2027
- Competition and Cooperation via Multiagent Learning: Competitive Opinion Optimization and Market Equilibrium Computation, NSTC 1/08/22 - 31/07/24
- Multiagent Online Learning in Potential Games and Beyond, NSTC 1/08/21 - 31/07/22
- Alternative Privacy-preserving Online Advertising System: Empirical Approach to Practical Learning, NSTC 1/12/19 - 28/02/22
Publications on Pub Med
Yongge Yang,Po-An Chen, Yu-Ching Lee, and Yung-Yan Fanchiang. On the firefighter problem with spreading vaccination for maximizing the number of saved nodes: the IP model and LP rounding algorithms. In Optimization Letters, Vol. 17. Dec 2022
Selected Publications
Yongge Yang,Po-An Chen, Yu-Ching Lee, and Yung-Yan Fanchiang. On the firefighter problem with spreading vaccination for maximizing the number of saved nodes: the IP model and LP rounding algorithms. In Optimization Letters, Vol. 17. Dec 2022
Selected Publications
- Po-An Chen, Chi-Jen Lu, Chuang-Chieh Lin, An-Tzi Teng, Ke-Wei Fu (2024, Nov). Multiagent Learning for Competitive Opinion Optimization. Theoretical Computer Science, 1017.
- Yongge Yang, Yu-Ching Lee, Po-An Chen (2024, Apr). Competitive Demand Learning: A Non-cooperative Pricing Algorithm with Coordinated Price Experimentation. Production and Operations Management, 33(1).
- Yongge Yang, Po-An Chen, Yu-Ching Lee, Yung-Yan Fanchiang (2022, Dec). On the Firefighter Problem with Spreading Vaccination for Maximizing the Number of Saved Nodes: the IP Model and LP Rounding Algorithms. Optimization Letters, 17.
- Po-An Chen, Chi-Jen Lu, Yu-Sin Lu (2021, Jul). An Alternating Algorithm for Finding Linear Arrow-Debreu Market Equilibria. Theory of Computing Systems, 65(5).
- Chuang-Chieh Lin, Chi-Jen Lu, Po-An Chen (2021, Jun). How Good is a Two-Party Election Game? Theoretical Computer Science, 871.
- Chu-Han Cheng, Po-An Chen, Wing-Kai Hon (2018, Apr). Budget-Constrained Multi-Battle Contests: A New Perspective and Analysis. Theoretical Computer Science, 721.
- Po-An Chen, Chi-Jen Lu (2016, Dec). Generalized Mirror Descents in Congestion Games. Artificial Intelligence, 241.
- Po-An Chen, Yi-Le Chen, Chi-Jen Lu (2016, Nov). Bounds on the Price of Anarchy for a More General Class of Directed Graphs in Opinion Formation Games. Operations Research Letters, 44(6).
- Po-An Chen (2015, Nov). How Egalitarian Are Nash Equilibria in Network Cost-Sharing Games? Operations Research Letters, 43(6).
- Po-An Chen, Bart de Keijzer, David Kempe, Guido Schaefer (2014, Oct). Altruism and Its Impact on the Price of Anarchy. ACM Transactions on Economics and Computation, 2(4)
Advisee Student Works
- Online Firefighting on Trees with Predictions. Guang-He Wang (co-advised by Dr. Hsiang-Hsuan Liu). Master’s thesis, 2024
- Playing General-Sum Markov Games with Generic and Specific No-Regret Algorithms. Wei-Chen Lin. Master’s thesis, 2024
- Conditional Supervised Contrastive Learning for Fair and Robust Non-English Text Classification. Chia-Yen Hsu. Master’s thesis, 2024
- Distributed Algorithms for Finding Linear Arrow-Debreu Market Equilibria. Jing Huang. Master’s thesis, 2022
- Weak Equilibria and Approximate Nash Equilibria in Scheduling Games with Multi-Job Players. Chien-Hung Chen. Master’s thesis, 2021
