2 papers
cs.HC2024
iFlow: An Interactive Max-Flow/Min-Cut Algorithms Visualizer
Muyang Ye, Tianrui Xia, Tianxin Zu +2
The Max-Flow/Min-Cut problem is a fundamental tool in graph theory, with applications in many domains, including data mining, image segmentation, transportation planning, and many…
cs.PF2023
Accelerating Deep Neural Network guided MCTS using Adaptive Parallelism
Yuan Meng, Qian Wang, Tianxin Zu +1
Deep Neural Network guided Monte-Carlo Tree Search (DNN-MCTS) is a powerful class of AI algorithms. In DNN-MCTS, a Deep Neural Network model is trained collaboratively with a dynam…