1.7k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Huawei Technologies (China)CN34 papers
- University of OttawaCA18 papers
- University of AlbertaCA13 papers
- Queen's UniversityCA12 papers
- McGill UniversityCA11 papers
- University of WaterlooCA11 papers
- University of TorontoCA10 papers
- University of British ColumbiaCA8 papers
- Carleton UniversityCA6 papers
- McMaster UniversityCA5 papers
- Simon Fraser UniversityCA5 papers
- York UniversityCA5 papers
10 papers · 1 filter
Dynamic RAN Slicing for Service-Oriented Vehicular Networks via Constrained Learning
Wen Wu, Nan Chen, Conghao Zhou +4
In this paper, we investigate a radio access network (RAN) slicing problem for Internet of vehicles (IoV) services with different quality of service (QoS) requirements, in which mu…
Efficient Spectrum Utilization via Pulse Shape Design for Fixed Transmission Networks
Elena-Iulia Dobre, Ayman Mostafa, Lutz Lampe +2
Microwave backhaul links are characterized by high signal-to-noise ratios permitting spectrally-efficient transmission. The used signal constellation sizes and achievable data rate…
Broken External Links on Stack Overflow
Jiakun Liu, Xin Xia, David Lo +4
Stack Overflow hosts valuable programming-related knowledge with 11,926,354 links that reference to the third-party websites. The links that reference to the resources hosted outsi…
Affordance as general value function: A computational model
Daniel Graves, Johannes Günther, Jun Luo
General value functions (GVFs) in the reinforcement learning (RL) literature are long-term predictive summaries of the outcomes of agents following specific policies in the environ…
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…
All at Once: Temporally Adaptive Multi-Frame Interpolation with Advanced Motion Modeling
Zhixiang Chi, Rasoul Mohammadi Nasiri, Zheng Liu +3
Recent advances in high refresh rate displays as well as the increased interest in high rate of slow motion and frame up-conversion fuel the demand for efficient and cost-effective…
Personalized Cross-Silo Federated Learning on Non-IID Data
Yutao Huang, Lingyang Chu, Zirui Zhou +4
Non-IID data present a tough challenge for federated learning. In this paper, we explore a novel idea of facilitating pairwise collaborations between clients with similar data. We…