Lingjiong Zhu
Artificial Intelligence · 2011–2019
A researcher in the Science corpus: 5 papers; trusts 48 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 43 citations into it; #26,161 of 35,345 by trust here, #28,481 by citations
- Computational Mechanics — 39 citations into it
- Optimization & Training — 33 citations into it
- Computer Networks and Communications — 19 citations into it
- Applied Mathematics — 13 citations into it; #5,725 of 7,620 by trust here, #4,234 by citations
- Management Science and Operations Research — 13 citations into it; #8,563 of 11,946 by trust here, #11,360 by citations
- Statistics and Probability — 12 citations into it
- Mathematical Physics — 11 citations into it
Whom Lingjiong Zhu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Francis Comets
- Søren Asmussen
- Gabriele Stabile
- David Vere-Jones
- Giovanni Luca Torrisi
- Daryl J. Daley
- Guanghui Lan
- Emmanuel Bacry
- Leonid Koralov
- Boris Polyak
Who trusts Lingjiong Zhu overall
Papers from Lingjiong Zhu's perspective
Ordered by how strongly the researchers Lingjiong Zhu 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
- On the importance of initialization and momentum in deep learning
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- The Nature of Statistical Learning Theory
- Long Short-Term Memory
- An optimal method for stochastic composite optimization
- A Stochastic Approximation Method
Their papers
- Accelerated Linear Convergence of Stochastic Momentum Methods in Wasserstein Distances (2019) — 49 citations
- Robust Distributed Accelerated Stochastic Gradient Methods for Multi-Agent Networks (2019) — 33 citations
- Ruin Probabilities for Risk Processes with Non-Stationary Arrivals and Subexponential Claims (2013) — 64 citations
- Limit Theorems for Marked Hawkes Processes with Application to a Risk Model (2012) — 65 citations
- Large deviations for Markovian nonlinear Hawkes processes (2011) — 73 citations