Zhaohui Zheng
Artificial Intelligence · with Chang · 2004–2011
A researcher in the Science corpus: 11 papers; trusts 32 researchers and is trusted by 30 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 57 citations into it; #8,152 of 35,345 by trust here, #9,557 by citations
- Information Systems — 53 citations into it; #1,247 of 8,771 by trust here, #1,189 by citations
- Information Retrieval & Search — 33 citations into it
- Computer Vision and Pattern Recognition — 29 citations into it
- Statistical and Nonlinear Physics — 17 citations into it
- Management Science and Operations Research — 16 citations into it; #10,971 of 11,946 by trust here, #3,357 by citations
- Statistical Learning Theory — 13 citations into it
- Statistics and Probability — 11 citations into it
Whom Zhaohui Zheng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jerome H. Friedman
- Thorsten Joachims
- Tong Zhang
- Andrew McCallum
- Yiming Yang
- Ron Kohavi
- C. Burges
- Ioannis Tsochantaridis
- Kamal Nigam
- Deepak K. Agarwal
Who trusts Zhaohui Zheng overall
- Olivier Chapelle
- Weiwei Jiang
- Cynthia Rudin
- Michael Wasikowski
- Yi Chang
- Sunghun Kim
- Sebastián Maldonado
- Paula Branco
- Aida Ali
- Vicente García
Papers from Zhaohui Zheng's perspective
Ordered by how strongly the researchers Zhaohui Zheng 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)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Stochastic gradient boosted distributed decision trees (2009) — 356 citations
- Early exit optimizations for additive machine learned ranking systems (2010) — 161 citations
- Refining Recency Search Results with User Click Feedback (2011) — 27 citations
- Collaborative competitive filtering: learning recommender using context of user choice (2011) — 159 citations
- Learning to model relatedness for news recommendation (2011) — 104 citations
- Like like alike — Joint Friendship and Interest Propagation in Social Networks Shuang (2011)
- Scalable clustering of news search results (2011) — 28 citations
- Towards recency ranking in web search (2010) — 205 citations
- Multi-task learning for learning to rank in web search (2009) — 41 citations
- A General Boosting Method and its Application to Learning Ranking Functions for Web Search (2007) — 228 citations
- Feature selection for text categorization on imbalanced data (2004) — 594 citations