대만 타이페이에서 5월 7일부터 10일까지 열린  PAKDD 2024 (BK CS  IF=1)에서 DASH 연구실(지도교수: 우사이먼성일)의 Bin M. Le 박사과정학생과 우사이먼성일교수의 "SEE: Spherical Embedding Expansion for Improving Deep Metric Learning" 논문이 Best Paper Running-Up Award (2nd Place) 수상하였습니다.

이번 PAKDD 2024는 전 세계에서 submit된 720편의 우수한 논문들 중에서 엄격한 심사 과정을 거쳐, 최종적으로 단 4편의 논문이 Best Paper로 선정되었습니다.
논문링크: https://link.springer.com/chapter/10.1007/978-981-97-2253-2_11
https://pakdd2024.org/award24awardpakdd24/

DASH Lab won the Best Paper Running-Up Award (2nd Best Paper) at PAKDD 2024 in Taiwan.
Binh M. Le and Simon S. Woo’s paper, “SEE: Spherical Embedding Expansion for Improving Deep Metric Learning,” received the the Best Paper Running-Up Award (2nd best paper) in PAKDD 2024 (BK CS IF=1), held in Taipei in May 2024. Here is the background information about the award:
“This year, PAKDD received 720 excellent submissions, and the selection process was competitive, rigorous, and thorough with over 500 PC and 100 SPC members. An award committee was formed by a chair and four committee members from different countries. There are only one Best Paper Award, two Best Paper Running-Up Awards, and one Best Student Paper Award.”

Paper Link: https://link.springer.com/chapter/10.1007/978-981-97-2253-2_11
https://pakdd2024.org/award24awardpakdd24/