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researcher

L. Deng

42 papers hereh-index 9064.2k citations505 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author16
  • last author24

Across the 40 of 42 papers where every author was matched, so the position is known.

fields
  • cs.CL18
  • cs.LG13
  • cs.AI5
  • cs.CV4
  • cs.IR1
  • stat.ML1
same name
  • L. Deng — 141 papers, h 36
  • L. Deng — 21 papers, h 24
  • L. Deng — 16 papers, h 27
  • L. Deng — 12 papers, h 50
  • L. Deng — 9 papers, h 18
  • L. Deng — 6 papers, h 7

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20132019
most citedDeep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval

618 citations · 2.3k across the 40 of their papers we have counts for

collaborators
Showing 2013Show all

3 papers · 1 filter

cs.CL2013★ 28 cited

Learning Semantic Representations for the Phrase Translation Model

Jianfeng Gao, Xiaodong He, Wen-tau Yih +1

This paper presents a novel semantic-based phrase translation model. A pair of source and target phrases are projected into continuous-valued vector representations in a low-dimens…

cs.LG2013★ 13 cited

Learning Input and Recurrent Weight Matrices in Echo State Networks

Hamid Palangi, Li Deng, Rabab K Ward

Echo State Networks (ESNs) are a special type of the temporally deep network model, the Recurrent Neural Network (RNN), where the recurrent matrix is carefully designed and both th…

cs.LG2013★ 9 cited

A Primal-Dual Method for Training Recurrent Neural Networks Constrained by the Echo-State Property

Jianshu Chen, Li Deng

We present an architecture of a recurrent neural network (RNN) with a fully-connected deep neural network (DNN) as its feature extractor. The RNN is equipped with both causal tempo…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.