Harpreet S. Dhillon
Computer Networks and Communications · 2011–2022
A researcher in the Science corpus: 9 papers; trusts 39 researchers and is trusted by 31 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 76 citations into it; #1,991 of 9,886 by trust here, #2,852 by citations
- Electrical and Electronic Engineering — 71 citations into it; #765 of 16,539 by trust here, #3,761 by citations
- Artificial Intelligence — 62 citations into it
- Computer Vision and Pattern Recognition — 53 citations into it
- Aerospace Engineering — 10 citations into it; #1,938 of 6,421 by trust here, #4,388 by citations
- Epidemiology — 5 citations into it
Whom Harpreet S. Dhillon trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jeffrey G. Andrews
- François Baccelli
- Radha Krishna Ganti
- Martin Haenggi
- Sarabjot Singh
- Osvaldo Simeone
- Tianyang Bai
- Han-Shin Jo
- Kaiming He
- Vikram Chandrasekhar
Who trusts Harpreet S. Dhillon overall
- Jeffrey G. Andrews
- Hesham Elsawy
- Sarabjot Singh
- Ekram Hossain
- Tianyang Bai
- Abhishek K. Gupta
- Dantong Liu
- Yong Zeng
- Mohammad Mozaffari
- Robert W. Heath
Papers from Harpreet S. Dhillon's perspective
Ordered by how strongly the researchers Harpreet S. Dhillon trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- GENERATIVE ADVERSARIAL NETS
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Modeling and Analysis of K-Tier Downlink Heterogeneous Cellular Networks (2011) — 1,597 citations
- Offloading in Heterogeneous Networks: Modeling, Analysis, and Design Insights (2012) — 717 citations
- An overview of load balancing in hetnets: old myths and open problems (2013) — 536 citations
- Downlink Coverage Analysis for a Finite 3-D Wireless Network of Unmanned Aerial Vehicles (2017) — 347 citations
- Federated Learning for Wireless Communications: Motivation, Opportunities, and Challenges (2019) — 742 citations
- Analytical Modeling of Uplink Cellular Networks (2012) — 475 citations
- A Primer on Cellular Network Analysis Using Stochastic Geometry (2016) — 308 citations
- On the Role of Age of Information in the Internet of Things (2018) — 358 citations
- Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications (2022) — 841 citations