Yiling Jia
Information Systems · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 33 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 45 citations into it; #5,066 of 8,771 by trust here, #5,303 by citations
- Artificial Intelligence — 37 citations into it
- Recommender Systems — 18 citations into it
- Computer Vision and Pattern Recognition — 17 citations into it
- Management Science and Operations Research — 17 citations into it; #7,388 of 11,946 by trust here, #6,888 by citations
- Signal Processing — 6 citations into it
- Computer Networks and Communications — 5 citations into it
Whom Yiling Jia trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Steffen Rendle
- Yehuda Koren
- Mark Newman
- Yongfeng Zhang
- Badrul Munir Sarwar
- Julian McAuley
- Ruslan Salakhutdinov
- Nava Tintarev
- Behnoush Abdollahi
- Qiming Diao
Who trusts Yiling Jia overall
Papers from Yiling Jia's perspective
Ordered by how strongly the researchers Yiling Jia 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
- 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
Their papers
- Explainable Recommendation via Multi-Task Learning in Opinionated Text Data (2018) — 237 citations
- The FacT: Taming Latent Factor Models for Explainability with Factorization Trees (2019) — 88 citations