Tzeh Yuan Neoh
Computer Science PhD Student
Harvard University
tzehyuan_neoh [at] g.harvard.edu
Hello there!
I'm Tzeh Yuan, a first-year PhD student in Computer Science at Harvard University, supervised by Milind Tambe. I'm broadly interested in algorithmic game theory and sequential decision making.
Previously, I was research engineer at A*STAR Centre for Frontier AI Research (2024 - 2025), supervised by Basura Fernando. I completed my undergraduate degrees in Computer Science at the University of Oxford (2021 - 2024), where I worked with Edith Elkind and Elias Koutsoupias.
Publications
α-β = alphabetical, * = equal contribution.
Working Papers
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Approximate Proportionality in Online Fair Division
(α-β) Davin Choo, Winston Fu, Derek Khu, Tzeh Yuan Neoh, Tze-Yang Poon, Nicholas Teh
W3 Working Paper [
]
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Online Fair Division with Additional Information
(α-β) Tzeh Yuan Neoh, Jannik Peters, Nicholas Teh
W2 Working Paper [ ]
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An Improved Algorithm for Sparse Instances of SAT
(α-β) Sanjay Jain, Tzeh Yuan, Frank Stephan
W1 Working Paper [ ]
Conference Papers
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Incentive-Aware AI Safety via Strategic Resource Allocation: A Stackelberg Security Games Perspective
Cheol Woo Kim*, Davin Choo*, Tzeh Yuan Neoh , Milind Tambe
C8 25th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2026 (Blue Sky) [ ]
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Fairness in Repeated Matching: A Maximin Perspective
(α-β) Eugene Lim, Tzeh Yuan Neoh ,Nicholas Teh
C7 40th AAAI Conference on Artificial Intelligence (AAAI) 2026 (Oral Presentation) [ ]
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PKR-QA: A Benchmark for Procedural Knowledge Reasoning with
Knowledge Module Learning
Thanh-Son Nguyen*, Hong Yang*, Tzeh Yuan Neoh*, Hao Zhang*, Ee Yeo Keat, Basura Fernando
C6 40th AAAI Conference on Artificial Intelligence (AAAI) 2026 [ ]
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Not in My Backyard! Temporal Voting Over Public Chores
(α-β) Edith Elkind, Tzeh Yuan Neoh, Nicholas Teh
C5 34th International Joint Conference on Artificial Intelligence (IJCAI) 2025 [
| ]
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Fraud-Proof Revenue Division on Subscription Platforms
(α-β) Abheek Ghosh, Tzeh Yuan Neoh, Nicholas Teh, Giannis Tyrovolas
C4 42nd International Conference on Machine Learning (ICML) 2025 [ ]
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Temporal Fair Division of Indivisible Items
(α-β) Edith Elkind, Alexander Lam, Mohamad Latifian, Tzeh Yuan Neoh, Nicholas Teh
C3 24th International Conference on Autonomous Agents and Multiagent Systems (AAMAS) 2025 [ | ]
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Understanding EFX Allocations: Counting and Variants
(α-β) Tzeh Yuan Neoh, Nicholas Teh
C2 39th AAAI Conference on Artificial Intelligence (AAAI) 2025 (Oral Presentation) [ | ]
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Temporal Elections: Welfare, Strategyproofness, and Proportionality
(α-β) Edith Elkind, Tzeh Yuan Neoh, Nicholas Teh
C1 27th European Conference on Artificial Intelligence (ECAI) 2024 (Invited to European Journal on Artificial Intelligence journal fast track for outstanding papers) [ | ]