◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Yuanhang Su

4 papers hereh-index 9419 citations13 works total

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

author position
  • first author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • cs.CV1
  • cs.LG1
same name
  • Yuanhang Su — 1 paper, h 0

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

most citedOn Extended Long Short-term Memory and Dependent Bidirectional Recurrent Neural Network

183 citations · 243 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2018★ 14 cited

Unsupervised Multi-modal Neural Machine Translation

Yuanhang Su, Kai Fan, Nguyen Bach +2

Unsupervised neural machine translation (UNMT) has recently achieved remarkable results with only large monolingual corpora in each language. However, the uncertainty of associatin…

cs.CL2018★ 41 cited

Tree-structured multi-stage principal component analysis (TMPCA): theory and applications

Yuanhang Su, Ruiyuan Lin, C. -C. Jay Kuo

A PCA based sequence-to-vector (seq2vec) dimension reduction method for the text classification problem, called the tree-structured multi-stage principal component analysis (TMPCA)…

cs.LG2018★ 183 cited

On Extended Long Short-term Memory and Dependent Bidirectional Recurrent Neural Network

Yuanhang Su, C. -C. Jay Kuo

In this work, we first analyze the memory behavior in three recurrent neural networks (RNN) cells; namely, the simple RNN (SRN), the long short-term memory (LSTM) and the gated rec…

cs.CL2018★ 5 cited

Efficient Text Classification Using Tree-structured Multi-linear Principal Component Analysis

Yuanhang Su, Yuzhong Huang, C. -C. Jay Kuo

A novel text data dimension reduction technique, called the tree-structured multi-linear principal component anal- ysis (TMPCA), is proposed in this work. Being different from trad…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.