Jie Zhang
Artificial Intelligence · Neural Information Processing Systems · 2014–2020
A researcher in the Science corpus: 7 papers; trusts 45 researchers and is trusted by 21 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 85 citations into it; #11,554 of 35,345 by trust here, #16,471 by citations
- Computational Theory and Mathematics — 28 citations into it
- Information Systems — 26 citations into it; #1,693 of 8,771 by trust here, #2,101 by citations
- Computer Networks and Communications — 25 citations into it
- Computer Vision and Pattern Recognition — 20 citations into it; #15,816 of 21,575 by trust here, #16,367 by citations
- Management Science and Operations Research — 15 citations into it
- Model Architectures — 15 citations into it
- Recommender Systems — 14 citations into it
Whom Jie Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yehuda Koren
- Ruslan Salakhutdinov
- Hao Ma
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Ronald J. Williams
- Kaiming He
- Alex Krizhevsky
- Ilya Sutskever
Who trusts Jie Zhang overall
Papers from Jie Zhang's perspective
Ordered by how strongly the researchers Jie Zhang 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- TopicMF: Simultaneously Exploiting Ratings and Reviews for Recommendation (2014) — 302 citations
- Consistencies and Contradictions of Performance Metrics in Multiobjective Optimization (2014) — 306 citations
- Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning (2020) — 463 citations
- Learning Improvement Heuristics for Solving Routing Problems (2019) — 420 citations
- Recurrent knowledge graph embedding for effective recommendation (2018) — 368 citations
- TrustSVD: Collaborative Filtering with Both the Explicit and Implicit Influence of User Trust and of Item Ratings (2015) — 598 citations
- Collaborative Security (2015) — 324 citations