no code implementations • 7 Nov 2023 • Hongjiang Chen, Pengfei Jiao, Huijun Tang, Huaming Wu
Temporal graph representation learning aims to generate low-dimensional dynamic node embeddings to capture temporal information as well as structural and property information.
no code implementations • 25 May 2023 • Sukhpal Singh Gill, Minxian Xu, Panos Patros, Huaming Wu, Rupinder Kaur, Kamalpreet Kaur, Stephanie Fuller, Manmeet Singh, Priyansh Arora, Ajith Kumar Parlikad, Vlado Stankovski, Ajith Abraham, Soumya K. Ghosh, Hanan Lutfiyya, Salil S. Kanhere, Rami Bahsoon, Omer Rana, Schahram Dustdar, Rizos Sakellariou, Steve Uhlig, Rajkumar Buyya
ChatGPT, an AI-based chatbot, was released to provide coherent and useful replies based on analysis of large volumes of data.
1 code implementation • 5 Jun 2022 • Han Wu, Holland Qian, Huaming Wu, Aad van Moorsel
Aiming at improving the responsiveness of the IDV process, we propose a new document localization model for mobile devices, LDRNet, to Localize the identity Document in Real-time.
no code implementations • 4 Aug 2019 • Xiangyi Li, Huaming Wu
In multiple-input multiple-output (MIMO) systems, it is crucial of utilizing the available channel state information (CSI) at the transmitter for precoding to improve the performance of frequency division duplex (FDD) networks.
no code implementations • 29 Apr 2018 • Bowen Wu, Huaming Wu, Monica M. Y. Zhang
To bridge the gap, we impose the intra-class cosine similarity between the features and weight vectors in softmax loss larger than a margin in the training step, and extend it from four aspects.
no code implementations • 7 Mar 2018 • Bowen Wu, Zhangling Chen, Jun Wang, Huaming Wu
With the remarkable success achieved by the Convolutional Neural Networks (CNNs) in object recognition recently, deep learning is being widely used in the computer vision community.