Jia-Yu Pan
Artificial Intelligence · 2004–2023
A researcher in the Science corpus: 9 papers; trusts 124 researchers and is trusted by 45 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 91 citations into it; #6,299 of 35,345 by trust here, #10,319 by citations
- Computer Vision and Pattern Recognition — 62 citations into it; #4,207 of 21,575 by trust here, #6,371 by citations
- Reinforcement Learning — 21 citations into it; #2,144 of 2,242 by trust here, #1,609 by citations
- Representation & Self-Supervised Learning — 20 citations into it
- Statistical and Nonlinear Physics — 18 citations into it
- Optimization & Training — 17 citations into it
- Information Systems — 12 citations into it
- Molecular Biology — 9 citations into it
Whom Jia-Yu Pan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Glen Jeh
- Geoffrey E. Hinton
- Taher H. Haveliwala
- Alex Krizhevsky
- Christos Faloutsos
- Andrew Y. Ng
- Diederik P. Kingma
- Jianbo Shi
- Kaiming He
- Yoshua Bengio
Who trusts Jia-Yu Pan overall
- Hanghang Tong
- Tae Hoon Kim
- David F. Gleich
- Neil Zhenqiang Gong
- Gunhee Kim
- Christos Faloutsos
- François Fouss
- Kyoung Mu Lee
- Jimeng Sun
- Peter Bhlmann
Papers from Jia-Yu Pan's perspective
Ordered by how strongly the researchers Jia-Yu Pan 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
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Automatic multimedia cross-modal correlation discovery (2004) — 546 citations
- Task Transfer by Preference-Based Cost Learning (2018) — 56 citations
- Fast Random Walk with Restart and Its Applications (2006) — 1,307 citations
- A transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics (2023) — 315 citations
- Remix: Rebalanced Mixup (2020) — 304 citations
- MONAS: Multi-Objective Neural Architecture Search using Reinforcement Learning (2018) — 149 citations
- Large‐scale Synthesis of Urchin‐like Mesoporous TiO2 Hollow Spheres by Targeted Etching and Their Photoelectrochemical Properties (2013) — 204 citations
- Random walk with restart: fast solutions and applications (2008) — 385 citations
- Segmenting Motion Capture Data into Distinct Behaviors (2004) — 496 citations