Jie Zhang

Artificial Intelligence · with Su · 2005

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

Whom Jie Zhang trusts overall

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

  1. Yuhai Wu

Who trusts Jie Zhang overall

  1. Xu Han
  2. Tianyu Gao
  3. Fei Li
  4. Daojian Zeng
  5. Thien Huu Nguyen
  6. Mo Yu
  7. Donghong Ji
  8. Zhiyuan Liu
  9. Ralph Grishman
  10. Zexuan Zhong

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.

  1. A Novel Use of Statistical Parsing to Extract Information from Text
  2. Statistical Learning Theory
  3. Kernel Methods for Relation Extraction
  4. Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms
  5. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
  6. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  7. Gradient learning in spiking neural networks by dynamic perturbation of conductances.
  8. Towards Biologically Plausible Deep Learning
  9. A neuronal learning rule for sub-millisecond temporal coding
  10. Deep Learning

Their papers