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
Alphabetical author ordering in all publications unless indicated by (★), which is first/co-first author.
Working Papers
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Online Fair Division with Additional Information
Tzeh Yuan Neoh, Jannik Peters, Nicholas Teh
W3 Working Paper [
]
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Neuro Symbolic Knowledge Reasoning for Procedural Video Question Answering
Thanh-Son Nguyen (★), Hong Yang (★), Tzeh Yuan Neoh (★), Hao Zhang (★), Ee Yeo Keat, Basura Fernando
W2 Working Paper [ ]
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An Improved Algorithm for Sparse Instances of SAT
Sanjay Jain, Tzeh Yuan, Frank Stephan
W1 Working Paper [ ]
Conference Papers
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Not in My Backyard! Temporal Voting Over Public Chores
Edith Elkind, Tzeh Yuan Neoh, Nicholas Teh
C5 34th International Joint Conference on Artificial Intelligence (IJCAI) 2025 [To Appear] -
Fraud-Proof Revenue Division on Subscription Platforms
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
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
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
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) [ | ]