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researcher

Junjie Hu

16 papers hereh-index 191.8k citations45 works total

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

author position
  • first author7
  • middle author7
  • last author1

Across the 15 of 16 papers where every author was matched, so the position is known.

fields
  • cs.CL11
  • cs.IR1
  • cs.LG1
  • q-fin.PM1
  • q-fin.RM1
  • stat.AP1
same name
  • Junjie Hu — 29 papers, h 17
  • Junjie Hu — 24 papers, h 18
  • Junjie Hu — 14 papers, h 6
  • Junjie Hu — 8 papers, h 6
  • Junjie Hu — 6 papers, h 5
  • Junjie Hu — 6 papers, h 2

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
20162021
most citedGlobalWoZ: Globalizing MultiWoZ to Develop Multilingual Task-Oriented Dialogue Systems

9 citations · 21 across the 7 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.CL2021

DEEP: DEnoising Entity Pre-training for Neural Machine Translation

Junjie Hu, Hiroaki Hayashi, Kyunghyun Cho +1

It has been shown that machine translation models usually generate poor translations for named entities that are infrequent in the training corpus. Earlier named entity translation…

stat.AP2021

Advanced Statistical Learning on Short Term Load Process Forecasting

Junjie Hu, Brenda López Cabrera, Awdesch Melzer

Short Term Load Forecast (STLF) is necessary for effective scheduling, operation optimization trading, and decision-making for electricity consumers. Modern and efficient machine l…

cs.CL2021★ 9 cited

GlobalWoZ: Globalizing MultiWoZ to Develop Multilingual Task-Oriented Dialogue Systems

Bosheng Ding, Junjie Hu, Lidong Bing +4

Much recent progress in task-oriented dialogue (ToD) systems has been driven by available annotation data across multiple domains for training. Over the last few years, there has b…

q-fin.PM2021

Networks of News and Cross-Sectional Returns

Junjie Hu, Wolfgang Karl Härdle

We uncover networks from news articles to study cross-sectional stock returns. By analyzing a huge dataset of more than 1 million news articles collected from the internet, we cons…

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