Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Jaeseo Lim

dblp:236/6240 · DBLP profile ↗
← Back
6ranked-venue papers
2as first author
2since 2021 · last 2022
0000-0003-0978-9098ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 5 · 2 first-author · 2 since 2021Applied, interdisciplinary, general and emerging computing · 4 · 2 first-author · 2 since 2021Human-computer interaction and ubiquitous computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Question answering and dialogue systems · 87% Deep learning architectures and training · 13%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Question answering and dialogue systems
visual dialog
0.412019
Dual Attention Networks for Visual Reference Resolution in Visual Dialog · EMNLP/IJCNLP (1) 2019
Natural language and speech › Question answering and dialogue systems › visual dialog
visual reference resolution
0.412019
Dual Attention Networks for Visual Reference Resolution in Visual Dialog · EMNLP/IJCNLP (1) 2019
Machine learning › Deep learning architectures and training › attention mechanism
visual attention
0.112019
Dual Attention Networks for Visual Reference Resolution in Visual Dialog · EMNLP/IJCNLP (1) 2019

Methods — techniques the papers use, named apart from their topics

dual attention network · 0.4
YearPublicationVenuePosition
2022 Emotion Evaluator: Expanding the Affective Lexicon with Neural Network Model
Jaeseo Lim, Jooyong Park, Cheongtag Kim
CogSci2
2021 Passive Versus Active: Frameworks of Active Learning for Linking Humans to Machines
Jaeseo Lim, Hwiyeol Jo, Byoung-Tak Zhang, Jooyong Park
CogSci1
2020 Effect of Active Pre-Learning Activities on Humans and Machines
Jaeseo Lim, Hwiyeol Jo, Byoung-Tak Zhang, Jooyong Park
CogSci1
2019 Problem Difficulty in Arithmetic Cognition: Humans and Connectionist Models
Sungjae Cho, Jaeseo Lim, Chris Hickey, Byoung-Tak Zhang
CogSci2
2019 Dual Attention Networks for Visual Reference Resolution in Visual Dialog
abstract
Gi-Cheon Kang, Jaeseo Lim, Byoung-Tak Zhang. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). 2019.
Gi-Cheon Kang, Jaeseo Lim, Byoung-Tak Zhang
EMNLP/IJCNLP (1)2
2019 WithDorm: Dormitory Solution for Linking Roommates
abstract
Experiences in universities are important for emotional maturation and offer an opportunity to develop individual characteristics and skills needed for social life. There are diverse issues affecting the quality of dormitory life and roommate relationships, which can influence one's psychosocial development. In this paper, we propose WithDorm, a mobile application to help communication with roommates and tighten their connections, and thereby assisting the users' emotional health and psychosocial development. We analyzed dormitory roommate issues from a human-centered perspective and narrowed down to three design implications after dormitory life modeling. Furthermore, we implemented the design implications in a prototype and performed a usability test to evaluate and improve the design. The final design, WithDorm, is aware of dormitory-specific concerns, collects and adapts to users' lifestyles, and initiates humanhuman interaction among roommates.
Minji Kwak, Seung-Hee Yang, Jaeseo Lim, Byoung-Tak Zhang
MobileHCI4