Pinghua Gong
Computational Mechanics · 2012–2018
A researcher in the Science corpus: 7 papers; trusts 63 researchers and is trusted by 38 researchers here, as inferred from the citation graph.
Subfields
- Computational Mechanics — 55 citations into it; #6,249 of 10,001 by trust here, #3,559 by citations
- Artificial Intelligence — 49 citations into it; #5,890 of 35,345 by trust here, #10,430 by citations
- Optimization & Training — 43 citations into it
- Statistics and Probability — 35 citations into it
- Representation & Self-Supervised Learning — 29 citations into it; #816 of 3,145 by trust here, #1,597 by citations
- Computer Vision and Pattern Recognition — 25 citations into it; #4,665 of 21,575 by trust here, #6,606 by citations
- Mathematical Optimization — 15 citations into it
- Computer Networks and Communications — 13 citations into it
Whom Pinghua Gong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yurii E. Nesterov
- Tong Zhang
- Jun Liu
- Jieping Ye
- Robert Tibshirani
- Francis R. Bach
- R. Caruana
- Paul Tseng
- Jianhui Chen
- Alan L. Yuille
Who trusts Pinghua Gong overall
Papers from Pinghua Gong's perspective
Ordered by how strongly the researchers Pinghua Gong 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
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
Their papers
- A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems (2013) — 431 citations
- Robust multi-task feature learning (2012) — 317 citations
- Efficient multi-task feature learning with calibration (2014) — 58 citations
- Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction (2018) — 1,258 citations
- A Taxi Order Dispatch Model based On Combinatorial Optimization (2017) — 226 citations
- Linear Convergence of Variance-Reduced Stochastic Gradient without Strong Convexity (2014) — 36 citations
- Multi-Stage Multi-Task Feature Learning (2012) — 164 citations