Haijun Zhang
Electrical and Electronic Engineering · IEEE Transactions on Communications · 2014–2019
A researcher in the Science corpus: 6 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 73 citations into it
- Computer Networks and Communications — 71 citations into it
- Artificial Intelligence — 45 citations into it
- Computer Vision and Pattern Recognition — 17 citations into it
- Signal Processing — 16 citations into it
- Aerospace Engineering — 11 citations into it
- Optimization & Training — 11 citations into it
- Model Architectures — 10 citations into it
Whom Haijun Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Wei Yu
- Vikram Chandrasekhar
- Raymond Lui
- Jeffrey G. Andrews
- Yuya Saito
- Geoffrey E. Hinton
- Renchao Xie
- Anass Benjebbour
- Robert Tibshirani
- Paul J. Werbos
Who trusts Haijun Zhang overall
- Fang Fang
- JingJing Wang
- Yuanwei Liu
- Chunxiao Jiang
- Xidong Mu
- Manuel Eugenio Morocho-Cayamcela
- Zhiguo Ding
- Yunlong Cai
- Jiaheng Wang
Papers from Haijun Zhang's perspective
Ordered by how strongly the researchers Haijun Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Deep Learning
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Machine Learning Paradigms for Next-Generation Wireless Networks (2017) — 1,005 citations
- Energy-Efficient Resource Allocation for Downlink Non-Orthogonal Multiple Access Network (2016) — 434 citations
- Resource Allocation for Cognitive Small Cell Networks: A Cooperative Bargaining Game Theoretic Approach (2015) — 342 citations
- Resource Allocation in Spectrum-Sharing OFDMA Femtocells With Heterogeneous Services (2014) — 391 citations
- Coexistence of Wi-Fi and heterogeneous small cell networks sharing unlicensed spectrum (2015) — 415 citations
- Thirty Years of Machine Learning: The Road to Pareto-Optimal Wireless Networks (2019) — 406 citations