Yanjun Han

Artificial Intelligence · 2014–2019

A researcher in the Science corpus: 16 papers; trusts 69 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Artificial Intelligence — 149 citations into it; #10,708 of 35,345 by trust here, #11,490 by citations
Statistics and Probability — 132 citations into it; #1,824 of 12,932 by trust here, #1,366 by citations
Computer Networks and Communications — 46 citations into it; #1,096 of 9,886 by trust here, #1,539 by citations
Statistical Learning Theory — 46 citations into it; #415 of 1,038 by trust here, #577 by citations
Information Theory — 38 citations into it; #135 of 196 by trust here, #145 by citations
Computational Theory and Mathematics — 25 citations into it
Electrical and Electronic Engineering — 25 citations into it; #6,262 of 16,539 by trust here, #11,641 by citations
Control and Systems Engineering — 23 citations into it

Whom Yanjun Han trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

Who trusts Yanjun Han overall

Papers from Yanjun Han's perspective

Ordered by how strongly the researchers Yanjun Han 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
Learning Multiple Layers of Features from Tiny Images
ImageNet: A large-scale hierarchical image database
Attention is All you Need (Neural Information Processing Systems)
Long Short-Term Memory
Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Information Theory: 1948-1998 - Guest Editorial

Their papers

The Nearest Neighbor Information Estimator is Adaptively Near Minimax Rate-Optimal (2017) — 48 citations
Minimax Estimation of the $L_1$ Distance (2017) — 57 citations
Geometric Lower Bounds for Distributed Parameter Estimation Under Communication Constraints (2018) — 101 citations
Domain Compression and its Application to Randomness-Optimal Distributed Goodness-of-Fit (2019) — 28 citations
Maximum Likelihood Estimation of Functionals of Discrete Distributions (2014) — 112 citations
Distributed Statistical Estimation of High-Dimensional and Nonparametric Distributions (2018) — 54 citations
Fisher Information for Distributed Estimation under a Blackboard Communication Protocol (2019) — 29 citations
Minimax Estimation of Discrete Distributions Under $\ell _{1}$ Loss (2014) — 48 citations
Learning Distributions from their Samples under Communication Constraints (2019) — 18 citations
A Geometric Characterization of Fisher Information from Quantized Samples with Applications to Distributed Statistical Estimation (2018) — 12 citations
Minimax estimation of the L1 distance (2016) — 68 citations
Minimax estimation of discrete distributions (2015) — 25 citations
Lower Bounds for Learning Distributions under Communication Constraints via Fisher Information (2019) — 82 citations
Minimax Rate-optimal Estimation of KL Divergence between Discrete Distributions (2016) — 44 citations
Minimax Estimation of Functionals of Discrete Distributions (2014) — 269 citations
Minimax Estimation of Discrete Distributions under ℓ1 Loss (2014) — 66 citations