Heng Huang

Computer Vision and Pattern Recognition · AAAI Conference on Artificial Intelligence · 2010–2020

A researcher in the Science corpus: 27 papers; trusts 1,007 researchers and is trusted by 53 researchers here, as inferred from the citation graph.

Subfields

Computer Vision and Pattern Recognition — 233 citations into it; #4,241 of 21,575 by trust here, #3,558 by citations
Artificial Intelligence — 194 citations into it; #4,971 of 35,345 by trust here, #4,577 by citations
Optimization & Training — 90 citations into it; #1,825 of 2,601 by trust here, #2,428 by citations
Representation & Self-Supervised Learning — 63 citations into it
Computational Mechanics — 59 citations into it; #7,804 of 10,001 by trust here, #6,041 by citations
Model Architectures — 36 citations into it
Signal Processing — 34 citations into it; #3,697 of 7,572 by trust here, #3,428 by citations
Media Technology — 29 citations into it; #1,315 of 3,621 by trust here, #1,002 by citations

Whom Heng Huang trusts overall

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

Who trusts Heng Huang overall

Papers from Heng Huang's perspective

Ordered by how strongly the researchers Heng Huang trusts endorse each paper. Same corpus, a different order for every researcher.

ImageNet classification with deep convolutional neural networks
Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
Gradient-based learning applied to document recognition
Attention is All you Need (Neural Information Processing Systems)
Long Short-Term Memory
ImageNet: A large-scale hierarchical image database
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

Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering (2019) — 319 citations
Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization (2017) — 580 citations
Locally-Transferred Fisher Vectors for Texture Classification (2017) — 51 citations
Clustering and projected clustering with adaptive neighbors (2014) — 1,005 citations
Multi-view Subspace Clustering (2015) — 543 citations
Heterogeneous Visual Features Fusion via Sparse Multimodal Machine (2013) — 87 citations
Supervised Intra-embedding of Fisher Vectors for Histopathology Image Classification (2017) — 37 citations
Robust nonnegative matrix factorization using L21-norm (2011) — 371 citations
Large-Scale Multi-View Spectral Clustering via Bipartite Graph (2015) — 631 citations
Decoupled Parallel Backpropagation with Convergence Guarantee (2018) — 107 citations
Cross-language web page classification via dual knowledge transfer using nonnegative matrix tri-factorization (2011) — 83 citations
Training Neural Networks Using Features Replay (2018) — 78 citations
Using Smart Meter Data to Improve the Accuracy of Intraday Load Forecasting Considering Customer Behavior Similarities (2015) — 458 citations
Multi-Horizon Time Series Forecasting with Temporal Attention Learning (2019) — 235 citations
Faster On-Device Training Using New Federated Momentum Algorithm (2020) — 58 citations
Multi-Scale Fusion Subspace Clustering Using Similarity Constraint (2020) — 41 citations
Demystifying Dropout (2019) — 16 citations
The Constrained Laplacian Rank Algorithm for Graph-Based Clustering (2016) — 874 citations
Multi-View K-Means Clustering on Big Data (2013) — 634 citations
Robust and Discriminative Self-Taught Learning (2013) — 55 citations