H. Zhang
Computer Vision and Pattern Recognition · Proceedings of Multifrequency Behaviour of High Energy Cosmic Sources - XIII — PoS(MULTIF2019) · 2003–2023
A researcher in the Science corpus: 24 papers; trusts 922 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 234 citations into it; #13,519 of 21,575 by trust here, #4,623 by citations
- Artificial Intelligence — 150 citations into it; #17,832 of 35,345 by trust here, #7,858 by citations
- Optimization & Training — 58 citations into it; #2,302 of 2,601 by trust here, #1,419 by citations
- Model Architectures — 48 citations into it
- Natural Language Processing — 46 citations into it; #4,319 of 5,688 by trust here, #3,369 by citations
- Generative Models — 43 citations into it; #1,700 of 1,956 by trust here, #1,252 by citations
- Media Technology — 39 citations into it
- Evaluation & Benchmarks — 25 citations into it
Whom H. Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Krizhevsky
- Kaiming He
- Yoshua Bengio
- Diederik P. Kingma
- Karen Simonyan
- Yann LeCun
- Ross B. Girshick
- Ilya Sutskever
- Alex Graves
Who trusts H. Zhang overall
- Aaron Harlap
- James Thorne
- Sayed Hadi Hashemi
- Georgios Damaskinos
- Amar Phanishayee
- D. Narayanan
- El Mahdi El Mhamdi
- Zhenghao Liu
- Xiaodan Liang
- Hyeontaek Lim
Papers from H. Zhang's perspective
Ordered by how strongly the researchers H. Zhang 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Automatic Photo Adjustment Using Deep Neural Networks (2014) — 298 citations
- Combining the Best of Convolutional Layers and Recurrent Layers: A Hybrid Network for Semantic Segmentation (2016) — 42 citations
- Recurrent Topic-Transition GAN for Visual Paragraph Generation (2017) — 219 citations
- ZM-Net: Real-time Zero-shot Image Manipulation Network (2017) — 34 citations
- UKP-Athene: Multi-Sentence Textual Entailment for Claim Verification (2018) — 206 citations
- Generative Semantic Manipulation with Contrasting GAN (2017) — 53 citations
- AutoLoss: Learning Discrete Schedules for Alternate Optimization (2018) — 30 citations
- In Vivo Self-Powered Wireless Cardiac Monitoring via Implantable Triboelectric Nanogenerator. (2016) — 387 citations
- Self-Powered, One-Stop, and Multifunctional Implantable Triboelectric Active Sensor for Real-Time Biomedical Monitoring. (2016) — 334 citations
- Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters (2017) — 378 citations
- Exploiting Twitter Moods to Boost Financial Trend Prediction Based on Deep Network Models (2016) — 17 citations
- Bulk sensitive x-ray absorption spectroscopy free of self-absorption effects (2010) — 181 citations
- Synthesis of large arrays of aligned α-Fe2O3 nanowires (2003) — 226 citations
- STCF conceptual design report (Volume 1): Physics & detector (2023) — 192 citations
- Rethinking the necessity of image fusion in high-level vision tasks: A practical infrared and visible image fusion network based on progressive semantic injection and scene fidelity (2023) — 341 citations
- Multi-messenger Observations of a Binary Neutron Star Merger (2019) — 3,158 citations
- Hyperparameter Optimization for Machine Learning Models Based on Bayesian Optimization (2019) — 1,710 citations
- Toward Understanding the Impact of Staleness in Distributed Machine Learning (2018) — 96 citations
- Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning (2017) — 530 citations
- GeePS: scalable deep learning on distributed GPUs with a GPU-specialized parameter server (2016) — 337 citations