Erkang Zhu

Artificial Intelligence · 2019–2023

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Erkang Zhu trusts overall

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

  1. Mohamed Yakout
  2. Alon Y. Halevy
  3. Frank Hutter

Papers from Erkang Zhu's perspective

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

  1. Practical Bayesian Optimization of Machine Learning Algorithms
  2. Playing Atari with Deep Reinforcement Learning (arXiv.org)
  3. Efficient and Robust Automated Machine Learning
  4. The Elements of Statistical Learning
  5. Sequential Model-Based Optimization for General Algorithm Configuration
  6. Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization
  7. Training language models to follow instructions with human feedback (Neural Information Processing Systems)
  8. Data Integration for the Relational Web
  9. Goods: Organizing Google's Datasets
  10. InfoGather: entity augmentation and attribute discovery by holistic matching with web tables

Their papers