75 citations
- Huawei Technologies (China)CN2 papers
- Polytechnique MontréalCA2 papers
- Academy of Mathematics and Systems ScienceCN1 paper
- Beijing University of Posts and TelecommunicationsCN1 paper
- Centre Inria de l'université de BordeauxFR1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Chinese Academy of SciencesCN1 paper
- Huawei Technologies (Sweden)SE1 paper
- Institut Polytechnique de BordeauxFR1 paper
- Laboratoire Bordelais de Recherche en InformatiqueFR1 paper
- Laboratoire de l'Intégration du Matériau au SystèmeFR1 paper
- Peking UniversityCN1 paper
4 papers · 1 filter
Low Complexity Neural Network Structures for Self-Interference Cancellation in Full-Duplex Radio
Mohamed Elsayed, Ahmad A. Aziz El-Banna, Octavia A. Dobre +2
Self-interference (SI) is considered as a main challenge in full-duplex (FD) systems. Therefore, efficient SI cancelers are required for the influential deployment of FD systems in…
GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems
Yishi Xu, Yingxue Zhang, Wei Guo +3
Given the convenience of collecting information through online services, recommender systems now consume large scale data and play a more important role in improving user experienc…
Animating Through Warping: an Efficient Method for High-Quality Facial Expression Animation
Zili Yi, Qiang Tang, Vishnu Sanjay Ramiya Srinivasan +1
Advances in deep neural networks have considerably improved the art of animating a still image without operating in 3D domain. Whereas, prior arts can only animate small images (ty…
Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation
Florence Regol, Soumyasundar Pal, Yingxue Zhang +1
Node classification in attributed graphs is an important task in multiple practical settings, but it can often be difficult or expensive to obtain labels. Active learning can impro…