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shhoff/README.md

Sunghyun Hwang

shhoff

Research Interest

  • Explainable Artificial Intelligence
  • Recommender System

Education

  • Received the B.A. Degree in Business Administration from Sungkyunkwan Univ., Seoul, Korea (Mar., 2012 ~ Feb., 2018)
  • Received the M.S. Degree in Statistics from Sungkyunkwan Univ., Seoul, Korea (Mar., 2018 ~ Aug., 2020)
  • Researching at the Data Intelligence Lab. as a Ph.D. Candidate in Artificial Intelligence from Hanyang Univ., Seoul, Korea (Mar., 2021 ~)

Project

  • [Doosan Bobcat] ๋งˆ์ผ“ ๋ฐ์ดํ„ฐ ๊ธฐ๋ฐ˜ ์ˆ˜์ต ๊ทน๋Œ€ํ™”๋ฅผ ์œ„ํ•œ ๊ฐ€๊ฒฉ ์˜์‚ฌ๊ฒฐ์ • ์„ค๋ช… ๊ฐ€๋Šฅํ•œ A.I. ๋ชจ๋ธ ์—ฐ๊ตฌ (Jun., 2022 ~ May, 2023)
  • [Samsung Electronics] ๋ฐ˜๋„์ฒด ๊ณต์ • ๊ฒฐํ•จ ์˜ˆ์ธก ๋ฐ ์˜ˆ์ง€ ์ •๋น„๋ฅผ ์œ„ํ•œ ์„ค๋ช… ๊ฐ€๋Šฅํ•œ A.I. ๋ชจ๋ธ ์—ฐ๊ตฌ (Mar., 2023 ~ Feb., 2025)
  • [Hyundai Motor] ์ฐจ๋Ÿ‰ ๋ถ€ํ’ˆ ๊ณ ์žฅ ์ง„๋‹จ ๋ฐ ์˜ˆ์ง€๋ฅผ ์œ„ํ•œ ์„ค๋ช… ๊ฐ€๋Šฅํ•œ A.I. ๊ธฐ์ˆ  ๊ฐœ๋ฐœ (Mar., 2024 ~ Nov., 2024)

Domestic Publication

  • ํ™ฉ์„ฑํ˜„, ์ฑ„๋™๊ทœ, ์ด์ƒ์ฒ , ํ˜‘์—… ํ•„ํ„ฐ๋ง์˜ ์ •ํ™•๋„ ํ–ฅ์ƒ์„ ์œ„ํ•œ ๋‹จ๊ณ„์  ์ฆ๋ถ„ ๊ธฐ๋ฐ˜์˜ ๋ฐ์ดํ„ฐ ์ž„ํ“จํ…Œ์ด์…˜ ๊ธฐ๋ฒ•, in KSC 2021, Dec. 20-22, 2021
  • ์‹ ํฌ์ค€, ํ™ฉ์„ฑํ˜„, ์ฑ„๋™๊ทœ, ํ”„๋ฃจ๋‹ ๊ธฐ๋ฐ˜์˜ ํฌ์†Œ ํ›ˆ๋ จ์„ ํ™œ์šฉํ•œ ํ˜‘์—… ํ•„ํ„ฐ๋ง ๋ชจ๋ธ ๊ทœ์ œ ๋ฐฉ์•ˆ, in KSC 2023, Dec. 20-22, 2023

International Publication

  • Sunghyun Hwang and Dong-Kyu Chae, An Uncertainty-Aware Imputation Framework for Alleviating the Sparsity Problem in Collaborative Filtering, in CIKM 2022, Oct. 17-21, 2022 (A/R: 23%)
  • Sunghyun Hwang, Sangmyeong Lee, Eunjung Choi, Jongsoo Lee, and Dong-Kyu Chae, An XAI Model for Semiconductor Manufacturing Processes with Exploring Process Parameter Interactions based on Uncertainty, in KISM 2023, Nov. 19-23, 2023
  • Sangmyeong Lee, Sunghyun Hwang, Eunjung Choi, Xueyi Zhou, and Dong-Kyu Chae, An XAI Model for Semiconductor Manufacturing Processes based on Confidence Interval Visualization for the Impact of Process Parameters, in KISM 2023, Nov. 19-23, 2023
  • Yoo Hyun Jeong, Sunghyun Hwang, and Dong-Kyu Chae, HiLite: Hierarchical Level-implemented Architecture Attaining Part-Whole Interpretability, in CIKM 2024, Oct. 21-25, 2024 (A/R: 23%)
  • Eunjung Choi, Seonggyeom Kim, Sunghyun Hwang, Sangmyeong Lee, and Dong-Kyu Chae, A Stable Method for Measuring Feature Attribution using Causal Effects in Semiconductor Manufacturing Processes, in KISM 2024, Nov. 11-15, 2024
  • Eunjung Choi, Seonggyeom Kim, Sunghyun Hwang, Sangmyeong Lee, and Dong-Kyu Chae, An Improved Causal Graph Discovery Method Robust to Noise Variability in Semiconductor Manufacturing Processes, in KISM 2024, Nov. 11-15, 2024

Award & Honor

  • [SIGIR Student Travel Grants] An Uncertainty-Aware Imputation Framework for Alleviating the Sparsity Problem in Collaborative Filtering (Oct. 17-21, 2022)
  • [Ph.D. Fellowship from NRF of Korea] Research on Enhancing Explainability of AI via Uncertainty Quantification (Sep., 2024 ~ Aug., 2025)

ย shhoff

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