Yingying Li
Computer Networks and Communications · with Li · 2019
A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 14 citations into it; #6,706 of 9,886 by trust here, #8,844 by citations
- Management Science and Operations Research — 14 citations into it; #7,456 of 11,946 by trust here, #9,383 by citations
- Artificial Intelligence — 10 citations into it
- Reinforcement Learning — 9 citations into it
- Optimization & Training — 6 citations into it
Whom Yingying Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mark Herbster
- Omar Besbes
- Martin L. Puterman
- James B. Rawlings
- Dimitri P. Bertsekas
- Yonatan Gur
- Shai Shalev-Shwartz
- Elad Hazan
- Aryan Mokhtari
- Manfred K. Warmuth
Who trusts Yingying Li overall
Papers from Yingying Li's perspective
Ordered by how strongly the researchers Yingying Li trusts endorse each paper. Same corpus, a different order for every researcher.
- Online Convex Programming and Generalized Infinitesimal Gradient Ascent
- 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)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Prediction, learning, and games
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Online Learning for Markov Decision Processes in Nonstationary Environments: A Dynamic Regret Analysis (2019) — 21 citations
- Online Optimal Control with Linear Dynamics and Predictions: Algorithms and Regret Analysis (2019) — 115 citations
- Markov Decision Processes with Time-varying Transition Probabilities and Rewards (2019)