50 citations · 63 across the 6 of their papers we have counts for
8 papers
Joint Activity and Blind Information Detection for UAV-Assisted Massive IoT Access
Li Qiao, Jun Zhang, Zhen Gao +5
Grant-free non-coherent index-modulation (NC-IM) has been recently considered as an efficient massive access scheme for enabling cost- and energy-limited Internet-of-Things (IoT) d…
Robust Risk-Sensitive Reinforcement Learning Agents for Trading Markets
Yue Gao, Kry Yik Chau Lui, Pablo Hernandez-Leal
Trading markets represent a real-world financial application to deploy reinforcement learning agents, however, they carry hard fundamental challenges such as high variance and cost…
Improved Prediction and Network Estimation Using the Monotone Single Index Multi-variate Autoregressive Model
Yue Gao, Garvesh Raskutti
Network estimation from multi-variate point process or time series data is a problem of fundamental importance. Prior work has focused on parametric approaches that require a known…
Relation Modeling in Spatio-Temporal Action Localization
Yutong Feng, Jianwen Jiang, Ziyuan Huang +5
This paper presents our solution to the AVA-Kinetics Crossover Challenge of ActivityNet workshop at CVPR 2021. Our solution utilizes multiple types of relation modeling methods for…
Graph-MLP: Node Classification without Message Passing in Graph
Yang Hu, Haoxuan You, Zhecan Wang +3
Graph Neural Network (GNN) has been demonstrated its effectiveness in dealing with non-Euclidean structural data. Both spatial-based and spectral-based GNNs are relying on adjacenc…
3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection
He Wang, Yezhen Cong, Or Litany +2
3D object detection is an important yet demanding task that heavily relies on difficult to obtain 3D annotations. To reduce the required amount of supervision, we propose 3DIoUMatc…