Publications (10)
Experience Augmentation: Boosting and Accelerating Off-Policy Multi-Agent Reinforcement Learning
Zhenhui Ye, Yining Chen, Guanghua Song +2
Exploration of the high-dimensional state action space is one of the biggest challenges in Reinforcement Learning (RL), especially in multi-agent domain. We present a novel techniq…
How Powerful are Interest Diffusion on Purchasing Prediction: A Case Study of Taocode
Xuanwen Huang, Yang Yang, Ziqiang Cheng +5
A taocode is a kind of specially coded text-link on Taobao(the world's biggest online shopping website), through which users can share messages about products with each other. Anal…
Estimating Coronal Mass Ejection Mass and Kinetic Energy by Fusion of Multiple Deep-learning Models
Khalid A. Alobaid, Yasser Abduallah, Jason T. L. Wang +5
Coronal mass ejections (CMEs) are massive solar eruptions, which have a significant impact on Earth. In this paper, we propose a new method, called DeepCME, to estimate two propert…
STEP-Parts: Geometric Partitioning of Boundary Representations for Large-Scale CAD Processing
Shen Fan, MikoÅaj Kida, Przemyslaw Musialski
Many CAD learning pipelines discretize Boundary Representations (B-Reps) into triangle meshes, discarding analytic surface structure and topological adjacency and thereby weakening…
Gibbs-like measure for spectrum of a class of one-dimensional Schrödinger operator with Sturm potentials
Shen Fan, Qing-Hui Liu, Zhi-Ying Wen
Let be an irrational, and the continued fraction expansion of . Let be the one-dimensional Schrödinger operator with Sturm potential…
Who is next: rising star prediction via diffusion of user interest in social networks
Xuan Yang, Yang Yang, Jintao Su +5
Finding items with potential to increase sales is of great importance in online market. In this paper, we propose to study this novel and practical problem: rising star prediction.…