2023
A Survey of Deep Learning in Sports Applications: Perception, Comprehension, and Decision
Zhonghan Zhao*, Wenhao Chai*, Shengyu Hao, Wenhao Hu, Guanhong Wang, Shidong Cao, Gaoang Wang✉, Mingli Song, Jenq-Neng Hwang
arXiv Preprint.
[Paper]
Our survey provides valuable reference material for researchers interested in deep learning applications within the sporting industry whilst also shedding light on its potential to utilize sports data for analysis.
Blind Inpainting with Object-aware Discrimination for Artificial Marker Removal
Xuechen Guo, Wenhao Hu, Chiming Ni, Wenhao Chai, Shiyan Li, Gaoang Wang✉
arXiv Preprint.
[Paper]
A novel blind inpainting network for artificial marker removal in medical images.
Deep Learning Methods for Small Molecule Drug Discovery: A Survey
Wenhao Hu*, Yingying Liu*, Xuanyu Chen, Wenhao Chai, Hangyue Chen, Hongwei Wang✉, Gaoang Wang✉
IEEE Transactions on Artificial Intelligence
[Paper]
we present a comprehensive review on molecule generation, molecular property prediction, retrosynthesis analysis and reaction prediction, and discuss the relationships among different applications.
Learning Discrimination from Contaminated Data: Multi-Instance Learning for Unsupervised Anomaly Detection
Wenhao Hu, Yingying Liu, Jiazhen Xu, Xuanyu Chen, Gaoang Wang✉
International Conference on Multimedia (ICME), 2023
[Paper]
we propose a novel unsupervised representation learning framework that takes advantage of the extra information provided by the anomalies in the unlabeled contaminated data for anomaly detection.