activity
20212026
most citedAlgorithmic Robust Forecast Aggregation

1 citations · 1 across the 7 of their papers we have counts for

collaborators

8 papers

cs.GT2026

Decision Aggregation under Quantal Response

Zhihuan Huang, Yichong Xia, Yuqing Kong

The effectiveness of collective decision-making is often challenged by the bounded rationality and inherent stochasticity of individual agents. We investigate this by analyzing how…

cs.CL2026

PMIScore: An Unsupervised Approach to Quantify Dialogue Engagement

Yongkang Guo, Zhihuan Huang, Yuqing Kong

High dialogue engagement is a crucial indicator of an effective conversation. A reliable measure of engagement could help benchmark large language models, enhance the effectiveness…

cs.GT2024

How Gold to Make the Golden Snitch: Designing the "Game Changer" in Esports

Zhihuan Huang, Yuxuan Lu, Yongkang Guo +1

Many battling games utilize a special item (e.g. Roshan in Defense of the Ancients 2 (DOTA 2), Baron Nashor in League of Legends (LOL), Golden Snitch in Quidditch) as a potential `…

cs.LG2024★ 1 cited

Algorithmic Robust Forecast Aggregation

Yongkang Guo, Jason D. Hartline, Zhihuan Huang +3

Forecast aggregation combines the predictions of multiple forecasters to improve accuracy. However, the lack of knowledge about forecasters' information structure hinders optimal a…

cs.GT2021

Eliciting Thinking Hierarchy without a Prior

Yuqing Kong, Yunqi Li, Yubo Zhang +2

When we use the wisdom of the crowds, we usually rank the answers according to their popularity, especially when we cannot verify the answers. However, this can be very dangerous w…

cs.GT2021

BONUS! Maximizing Surprise

Zhihuan Huang, Yuqing Kong, Tracy Xiao Liu +2

Multi-round competitions often double or triple the points awarded in the final round, calling it a bonus, to maximize spectators' excitement. In a two-player competition with …

cs.MA2021

SURPRISE! and When to Schedule It

Zhihuan Huang, Shengwei Xu, You Shan +4

Information flow measures, over the duration of a game, the audience's belief of who will win, and thus can reflect the amount of surprise in a game. To quantify the relationship b…

cs.SI2021

Modularity and Mutual Information in Networks: Two Sides of the Same Coin

Qian Wang, Yongkang Guo, Zhihuan Huang +1

Modularity, first proposed by [Newman and Girvan, 2004], is one of the most popular ways to quantify the significance of community structure in complex networks. It can serve as bo…