Joseph Chuang-Chieh Lin

  Index

Background

Research

CV

Teaching

Publications

Interest

  Work Experience

• Assistant Professor at:  Dept. Computer Science and Engineering,
  National Taiwan Ocean University,
  August 2024 – Present.
• Assistant Professor at:  Dept. Computer Science and Information Engineering,
  Tamkang University,
  February 2021 – July 2024.
• Quantitative Analyst at Seth Technologies Inc.,
  January 2020 – January 2021.
• Quantitative Analyst (Intern) at:  Point72/Cubist Systematic Strategies (Taipei),
  agreement with MDBS Digital Technology Co. Ltd.,
  March 2018 – November 2019.
• Postdoctoral Research Fellow at:  Institute of Information Science,
  Academia Sinica,
  September 2014 – February 2018.
• Postdoctoral Research Fellow (Alternative Military Service) at:  Genomics Research Center,
  Academia Sinica,
  October 2011 – August 2014.

  Education Background

• Doctor of Philosophy:  Computer Science and Information Engineering,
  National Chung Cheng University,
  September 2004 – July 2011.
• Master of Science:  Computer Science and Information Engineering,
  National Chi Nan University,
  September 2002 – June 2004.
• Bachelor of Science:  Mathematics,
  National Cheng Kung University,
  September 1998 – June 2002.

  Research

•   Research Projects

• Algorithmic Game Theory with Machine-Learned Predictions.
  Grant No.: NSTC 114-2927-I-A49-518 (Cooperation Taiwan (NSTC) Research Visits - NWO).
  Period: July 2025–June 2026. (Co-Host)
• Parameterized Online Learning for Min-Max Envy Resource Allocation and Team Formation.
  Grant No.: NSTC 113(114)-2927-I-032-501 (Programme of Integrated Actions (PIA) ORCHID (TAIWAN); NSTC-BFT Orchid Program).
  Period: January 2024–December 2025.
• A Study on Group Competition Game of Real-Policy Making Based on Equilibria Existence and Gradient Algorithms.
  Grant No.: NSTC 112-2221-E-032-018-MY3.
  Period: August 2023–July 2026.
• Game Theoretical Aspects in Modeling and Analyzing Party Election Campaign.
  Grant No.: MOST 110-2222-E-032-002-MY2.
  Period: April 2021–March 2023.
• A Study on Property Testing. (DAAD-NSC Sandwich Project).
  Grant No.: NSC 96-2911-I-194-008-2; Germany: RO 927/10–1/568846.
  Period: September 2007–August 2008.

•   Scholarship, Awards & Professional Services

• Program Committee Member of the 7th Games, Agents and Incentives Workshop (GAIW 2025), 19–18 May 19/20 2025, Detroit, Michigan, USA. [link]
• Program Committee Member of the 40th Symposium on Combinatorial Mathematics and Computational Theory (CMCT 2023), 19–20 May 2023, Taoyuan.
• Program Committee Member of the International Computer Symposium (ICS 2022), 15–17 December 2022, Taoyuan.
• Program Chair (Domestic Track) of the 27th International Conference on Technologies and Applications of Artificial Intelligence (TAAI 2022), 1–3 December 2022, Tainan.
• Program Committee of National Computer Symposium (NCS 2021), December 2021.
• Reviewer of Mathematical Reviews/MathSciNet, since September 2021.
• Scholarship Holder of DAAD-NSC Sandwich Program, September 2007– August 2008.

•   Invited Talks

• Topic: A Game-Theoretic Exploration on Group Competition and Formation through Online Learning Algorithms.
  Institute: Department of Applied Artificial Intelligence, Ming Chuan University.
  Time: 19th September 2025. [slides]
• Topic: No-Regret Online Learning Algorithms.
  Institute: Department of Electronic Engineering, National United University.
  Time: 5th March 2025. [slides]
• Topic: A Game-Theoretic Exploration on Group Competition and Formation through Online Learning Algorithms.
  Institute: Institute of Data Science and Information Computing, National Chung Hsin University.
  Time: 21st December 2023.
• Topic: A Sketch of Nash’s Theorem from Fixed Point Theorems.
  Institute: Institute of Information Management, National Yang Ming Chiao Tung University.
  Time: 3rd November 2022.
• Topic: Case Studies of Data Analysis and Machine Learning for Market Microstructures.
  Institute: Institute of Information and Decision Sciences, National Taipei University of Business.
  Time: 24th October 2021.
• Topic: How Good Is a Two-Party Election Game?
  2021 Summer School on Operations Research and Applications.
  Time: 19th August 2021.
• Topic: How Good Is a Two-Party Election Game?
  Institute: Institute of Information and Decision Sciences, National Taipei University of Business.
  Time: 17th June 2021.
• Topic: Network Creation Games: Foundations and Ongoing Work.
  Institute: Institute of Information Management, National Yang Ming Chiao Tung University.
  Time: 7th December 2015.

•   Publications

• Chuang-Chieh Lin, Guillaume Fertin, Po-An Chen, Stéphane Vialette, ‪Géraldine Jean, Emile Benoist:
  Resolving Envy by Adding Goods with Bounded Supply: Two-Agent Hardness and Single-Type Tractability
  The 4th IJCAI Workshop on Computational Fair Division (CFD 2026, Bremen, Germany, 17 August 2026).
  Accepted for oral presentation.
• Chuang-Chieh Lin, Chi-Jen Lu, Po-An Chen, Chih-Chieh Hung:
  Computing Pure-Strategy Nash Equilibria in a Two-Party Policy Competition: Existence and Algorithmic Approaches.
  The 25th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2026, Paphos, Cyprus, 25–29 May 2026).
  Accepted for publication as an extended abstract. [In Proceedings] [Poster]
• Chuang-Chieh Lin, Chi-Jen Lu, Po-An Chen:
  How Bad Can An Election Game of Two or More Parties Be?
  The 6th Games, Agents, and Incentives Workshop (full presentation in GAIW 2024; a workshop at AAMAS 2024). [slides]
• Po-An Chen, Chi-Jen Lu, Chuang-Chieh Lin, An-Tzu Teng and Ke-Wei Fu:
  Multiagent Learning for Competitive Opinion Optimization.
  Theoretical Computer Science. 1017 (2024) 11487. [DOI] (appeared at ICS 2022)
• Chuang-Chieh Lin, Chih-Chieh Hung, Chi-Jen Lu, and Po-An Chen:
  Group Formation by Group Joining and Opinion Updates via Multi-Agent Online Gradient Ascent.
  IEEE Computational Intelligence Magazine 18 (2023) 60–61. [DOI]
• Chuang-Chieh Lin, Chi-Jen Lu, and Po-An Chen:
  How good is a two-party election game?
  Theoretical Computer Science 871 (2021) 79–93. [DOI]
• Chuang-Chieh Lin and Chi-Jen Lu:
  Efficient mechanisms for peer grading and dueling bandits.
  In Proceedings of the 10th Asian Conference on Machine Learning (ACML 2018, Beijing, China; 14–16 November 2018),
  Proceedings of Machine Learning Research (PMLR), Vol. 95, pp. 740–755. [abstract]
• Maw-Shang Chang, Chuang-Chieh Lin, and Peter Rossmanith:
  Testing consistency of quartet topologies: a parameterized approach.
  Information Processing Letters 113 (2013) 852–857. [DOI]
• Maw-Shang Chang, Chuang-Chieh Lin, and Peter Rossmanith:
  A property tester for tree-likeness of quartet topologies.
  Theory of Computing Systems 49 (2011) 576–587. [DOI]
• Maw-Shang Chang, Hsiao-Han Chung, and Chuang-Chieh Lin:
  An improved algorithm for the red-blue hitting set problem with the consecutive ones property.
  Information Processing Letters 110 (2010) 845–848. [DOI]
• Maw-Shang Chang, Chuang-Chieh Lin, and Peter Rossmanith:
  New fixed-parameter algorithms for the minimum quartet inconsistency problem.
  Theory of Computing Systems 47 (2010) 342–367. [DOI] (appeared at IWPEC 2008)

👉 [Full list of journal papers]

• Yongge Yang, Yu-Ching Lee, Po-An Chen and Chuang-Chieh Lin:
  Robustness of Online Proportional Response in Stochastic Online Fisher Markets: a Decentralized Approach.
  Production and Operations Management. Accepted for publication. [DOI]
• Chuang-Chieh Lin and Chih-Chieh Hung:
  On the Min-Entropy of Equilibrium Graphs in Network Creation Games.
  Scientific Reports. 16 (2026) Article No. 14369. [DOI]
• Chuang-Chieh Lin, Guanyao Li, Chih-Chieh Hung, Yi-Chen Ku and Wen-Chih Peng:
  Rethinking Suspicious Account Identification from a Perspective of Machine Learning Ranking.
  International Journal of Machine Learning and Cybernetics. 17 (2026) Article No. 84. [DOI]
• Chuang-Chieh Lin, Yung-Shen Huang and Shih-Yeh Chen:
  A Cloud-Based Distributed System for Story Visualization Using Stable Diffusion.
  Computers, Materials & Continua. 86 (2026) 1–19. [DOI]
• Chuang-Chieh Lin, Ming-Chu Ho and Chih-Chieh Hung:
  Toward key factors in travel time prediction for sustainable mobility and well-being.
  Computer Science and Information Systems. 22 (2025) 1797–1816. [DOI]
• Chuang-Chieh Lin, Ming-Chu Ho, Chih-Chieh Hung and Hui-Huang Hsu:
  A comparative study and simple baseline for travel time prediction.
  Scientific Reports. 15 (2025) Article No. 25609. [DOI]
• Po-An Chen, Chi-Jen Lu, Chuang-Chieh Lin, An-Tzu Teng and Ke-Wei Fu:
  Multiagent Learning for Competitive Opinion Optimization.
  Theoretical Computer Science. 1017 (2024) 11487. [DOI]
• Bo-Hsin Lin, Chuang-Chieh Lin, Chih-Chieh Hung, Chien-Chang Chen and Yu-Hsin Chen:
  On the Identifiability of Artificial Financial Time Series.
  Journal of Information Science and Engineering. 40 (2024) 567–579. [DOI]
• Chuang-Chieh Lin, Chih-Chieh Hung, Chi-Jen Lu, and Po-An Chen:
  Group Formation by Group Joining and Opinion Updates via Multi-Agent Online Gradient Ascent.
  IEEE Computational Intelligence Magazine 18 (2023) 60–61. [DOI]
• Wendgoundi Abdoul Rasmanè Savadogo, Chuang-Chieh Lin, Chih-Chieh Hung, Chien-Chang Chen, Zhen Liu, Tingting Liu:
  A study on constructing an elderly abuse detection system by convolutional neural networks.
  Journal of the Chinese Institute of Engineers 46 (2023) 118–127. [DOI]
  
• Chih-Chieh Hung, Chuang-Chieh Lin, Hsien-Chu Wu, Chia-Wei Lin:
  A study on reversible data hiding technique based on three-dimensional prediction-error histogram modification and a multilayer perceptron.
  Applied Sciences 12 (2022) 2502. [DOI]
• Chuang-Chieh Lin, Chi-Jen Lu, and Po-An Chen:
  How good is a two-party election game?
  Theoretical Computer Science 871 (2021) 79–93. [DOI]
• Trees-Juen Chuang, Min-Yu Yang, Chuang-Chieh Lin, Ping-Hung Hsieh, and Li-Yuan Hung:
  Comparative genomics of grass EST libraries reveals previously uncharacterized splicing events in crop plants.
  BMC Plant Biology 15:39 (2015). [DOI]
• Maw-Shang Chang, Chuang-Chieh Lin, and Peter Rossmanith:
  Testing consistency of quartet topologies: a parameterized approach.
  Information Processing Letters 113 (2013) 852–857. [DOI]
• Maw-Shang Chang, Chuang-Chieh Lin, and Peter Rossmanith:
  A property tester for tree-likeness of quartet topologies.
  Theory of Computing Systems 49 (2011) 576–587. [DOI]
• Maw-Shang Chang, Hsiao-Han Chung, and Chuang-Chieh Lin:
  An improved algorithm for the red-blue hitting set problem with the consecutive ones property.
  Information Processing Letters 110 (2010) 845–848. [DOI]
• Maw-Shang Chang, Chuang-Chieh Lin, and Peter Rossmanith:
  New fixed-parameter algorithms for the minimum quartet inconsistency problem.
  Theory of Computing Systems 47 (2010) 342–367. [DOI]

👉 [International conference/workshop papers and posters]

• Chuang-Chieh Lin, Guillaume Fertin, Po-An Chen, Stéphane Vialette, ‪Géraldine Jean, Emile Benoist:
  Resolving Envy by Adding Goods with Bounded Supply: Two-Agent Hardness and Single-Type Tractability
  The 4th IJCAI Workshop on Computational Fair Division (CFD 2026, Bremen, Germany, 17 August 2026).
  Accepted for oral presentation.
• Chih-Chieh Hung , Liang-Chi Huang and Chuang-Chieh Lin:
  Stage-Aware Detection of Altcoin Price Bubbles Using Attention-Based LSTM and Multi-Source Sentiment Signals.
  The 14th International Conference on Advances in Information Technology (IAIT 2026, Bangkok, Thailand, 17–19 June 2026).
  Accepted for oral presentation.
• Chuang-Chieh Lin, Chi-Jen Lu, Po-An Chen, Chih-Chieh Hung:
  Computing Pure-Strategy Nash Equilibria in a Two-Party Policy Competition: Existence and Algorithmic Approaches.
  The 25th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2026, Paphos, Cyprus, 25–29 May 2026).
  Accepted for publication as an extended abstract. [In Proceedings] [Poster]
• Po-An Chen, Chi-Jen Lu, Chuang-Chieh Lin and Jing Huang:
  Towards Distributed Multiagent Learning for Finding Linear Arrow-Debreu Market Equilibria: Projection-Free Optimistic Gradient Descent Ascent.
  Accepted in Proceedings of the International Workshop on Algorithms in Engineering (IWAE 2025, Taoyuan, 24–26 October 2025).
  Best Paper Award.
• Shuo-Ting Hung, Pin-Hua Wei, Yu-Chuan Huang, Nan-Tien Chen, Han-Siang Lan, Chuang-Chieh Lin, and Chih-Chieh Hung:
  Portfolio Optimization Using No-Regret Online Learning: A Case Study on US Stocks.
  Accepted in the Program of Frontier Innovation Award Competition 2024,
  organized in the 14th International Conference on Frontier Computing (FC 2024) (Singapore, July 10–14, 2024).
  Gold Award Winner (Artificial Intelligence track).
• Chuang-Chieh Lin, Chi-Jen Lu, Po-An Chen:
  How Bad Can An Election Game of Two or More Parties Be?
  The 6th Games, Agents, and Incentives Workshop (full presentation in GAIW 2024; a workshop at AAMAS 2024) [slides]
• Chih-Chieh Hung, Hong-En Hsiao, Chuang-Chieh Lin, Hui-Huang Hsu:
  Air Pollution Source Tracing Framework: Leveraging Microsensors and Wind Analysis for Pollution Source Identification.
  In Proceedings of the 28th International Conference on Technologies and Applications of Artificial Intelligence (TAAI 2023, Yunlin, Taiwan; 1–2 December 2023), pp. 142–154.
  Excellent Paper Award. [DOI]
• Chi-Hao Wang, Chi-Jen Lu, Ming-Tat Ko, Po-An Chen, Chuang-Chieh Lin:
  Budget-Constrained Cost-Covering Job Assignment for a Total Contribution-Maximizing Platform.
  In Proceedings of the 34th International Workshop on Combinatorial Algorithms (IWOCA 2023),
  Lecture Notes in Computer Science, Vol. 13889, Springer-Verlag, pp. 392–403. [DOI]
• Po-An Chen, Chi-Jen Lu, Chuang-Chieh Lin, Yu-Qin Lin:
  When and How to Have Negative Regrets for Online Learners? Profits for Prediction Market Makers as an Example.
  The 9th International Workshop on Computational Social Choice (COMSOC 2023, Beersheba, Israel; 3--5 July 2023)
  Poster Session.
• Po-An Chen, Chi-Jen Lu, Chuang-Chieh Lin, and Ke-Wei Fu:
  Multiagent Learning for Competitive Opinion Optimization.
  In Proceedings of the 2022 International Computer Symposium (ICS 2022, Taoyuan, Taiwan; 15–17 December 2022).
  Communications in Computer and Information Science (CCIS), Vol. 1723, pp. 61–72. [DOI]
• Po-An Chen, Yiling Chen, Chi-Jen Lu, and Chuang-Chieh Lin:
  Profitable prediction market making.
  Program of the 14th Annual Meeting of the Asian Association for Algorithms and Computation (AAAC 2021, Tainan, Taiwan; 22–24 October 2021).
• Chuang-Chieh Lin, Chi-Jen Lu, Po-An Chen:
  How good is a two-party election game?
  The 21st ACM Conference on Economics and Computation (EC 2020)
  Main Poster Session (S3W3).
• Chuang-Chieh Lin and Chi-Jen Lu:
  Efficient mechanisms for peer grading and dueling bandits.
  In Proceedings of the 10th Asian Conference on Machine Learning (ACML 2018, Beijing, China; 14–16 November 2018),
  Proceedings of Machine Learning Research (PMLR), Vol. 95, pp. 740–755. [abstract]
• Maw-Shang Chang, Chuang-Chieh Lin, and Peter Rossmanith:
  New fixed-parameter algorithms for the minimum quartet inconsistency problem.
  In Proceedings of the 3rd International Workshop on Exact and Parameterized Computation (IWPEC 2008, Victoria B.C., Canada; 14–16 May),
  Lecture Notes in Computer Science, Vol. 5018, Springer-Verlag, pp. 66–77. [slides] [DOI]

👉 [Domestic track/conference papers]

• Kuang-Neng Chen, Chen-Yo Chung, Chuang-Chieh Lin, Chih-Chieh Hung:
  SAT Optimization: A Graph Neural Network with Attention Approach.
  In (Non-archived) Proceedings of the 43rd Workshop on Combinatorial Mathematics and Computation Theory (CMCT 2026, Hsinchu, Taiwan, 24–25 May, 2026).
  
• Chuang-Chieh Lin, Chi-Jen Lu, Po-An Chen:
  Nash Equilibria of a Two-Party Policy Competition Game.
  In (Non-archived) Proceedings of the 41st Workshop on Combinatorial Mathematics and Computation Theory (CMCT 2024, Taipei City, Taiwan, 17–18 May, 2024).
  Best Paper Award.
• Bo-Hsin Lin, Chuang-Chieh Lin, Chih-Chieh Hung, and Chien-Chang Chen:
  On the Identifiability of Artificial Financial Time Series Data (Chinese).
  (Non-archived) Program in the 27th International Conference on Technologies and Applications of Artificial Intelligence (TAAI 2022, Tainan, Taiwan; 1–3 December 2022).
• Chuang-Chieh Lin:
  Testing tree-consistency with k missing quartets.
  In (Non-archived) Proceedings of the 28th Workshop on Combinatorial Mathematics and Computation Theory (CMCT 2011, Penghu, Taiwan, 27–28 May, 2011), pp. 280–285.
• Maw-Shang Chang, Hsiao-Han Chung, and Chuang-Chieh Lin:
  An improved algorithm for the red-blue hitting set problem with the consecutive ones property.
  In (Non-archived) Proceedings of the 26th Workshop on Combinatorial Mathematics and Computation Theory (CMCT 2009, Chiayi, Taiwan, 24–25 April, 2009), pp. 15–20.
  Best Paper Award.

👉 [Ph.D. Dissertation]

• Chuang-Chieh Lin:
  A Study on Fixed-Parameter Algorithms and Property Testing.
  Ph.D. Dissertation. Department of Computer Science and Information Engineering, National Chung Cheng University, Taiwan, 2011. [pdf]

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© 2004 Joseph Chuang-Chieh Lin