5 citations · 8 across the 6 of their papers we have counts for
6 papers
Temporal Hyperbolic Graph Representation Learning for Scale-Free Internet Routing and Delay Prediction
Yi-Ling Kuo, Hao-Yu Tien, Shih-Yu Tsai
Predicting Internet round-trip time (RTT) is critical for routing optimization, quality-of-service (QoS) provisioning, and traffic engineering, yet remains challenging due to long-…
Understanding Endogenous Data Drift in Adaptive Models with Recourse-Seeking Users
Bo-Yi Liu, Zhi-Xuan Liu, Kuan Lun Chen +3
Deep learning models are widely used in decision-making and recommendation systems, where they typically rely on the assumption of a static data distribution between training and d…
Patrol Security Game: Defending Against Adversary with Freedom in Attack Timing, Location, and Duration
Hao-Tsung Yang, Ting-Kai Weng, Ting-Yu Chang +4
We explored the Patrol Security Game (PSG), a robotic patrolling problem modeled as an extensive-form Stackelberg game, where the attacker determines the timing, location, and dura…
Cache-Oblivious Parallel Convex Hull in the Binary Forking Model
Reilly Browne, Rezaul Chowdhury, Shih-Yu Tsai +1
We present two cache-oblivious sorting-based convex hull algorithms in the Binary Forking Model. The first is an algorithm for a presorted set of points which achieves work,…
Obtaining Approximately Optimal and Diverse Solutions via Dispersion
Jie Gao, Mayank Goswami, Karthik C. S. +3
There has been a long-standing interest in computing diverse solutions to optimization problems. Motivated by reallocation of governmental institutions in Sweden, in 1995 J. Krarup…
Data Races and the Discrete Resource-time Tradeoff Problem with Resource Reuse over Paths
Rathish Das, Shih-Yu Tsai, Sharmila Duppala +5
A determinacy race occurs if two or more logically parallel instructions access the same memory location and at least one of them tries to modify its content. Races often lead to n…