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Hojin Yang
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2020 – today
- 2023
- [j2]Hankyung Lee, Hyuk-Gi Kwon, Sukhee Ahn, Hojin Yang, Chaeyeon Yi:
Estimation of Perceived Temperature of Road Workers Using Radiation and Meteorological Observation Data. Remote. Sens. 15(4): 1065 (2023) - [c7]Tongzi Wu, Yuhao Zhou, Wang Ling, Hojin Yang, Joana Veloso, Lin Sun, Ruixin Huang, Norberto Guimaraes, Scott Sanner:
Towards Dialogue Modeling Beyond Text. ICASSP 2023: 1-5 - 2022
- [j1]Hyuk-Gi Kwon, Hojin Yang, Chaeyeon Yi:
Study on Radiative Flux of Road Resolution during Winter Based on Local Weather and Topography. Remote. Sens. 14(24): 6379 (2022) - 2021
- [c6]Hojin Yang, Tianshu Shen, Scott Sanner:
Bayesian Critiquing with Keyphrase Activation Vectors for VAE-based Recommender Systems. SIGIR 2021: 2111-2115 - [c5]Hojin Yang, Scott Sanner, Ga Wu, Jin Peng Zhou:
Bayesian Preference Elicitation with Keyphrase-Item Coembeddings for Interactive Recommendation. UMAP 2021: 55-64 - 2020
- [c4]Maksims Volkovs, Zhaoyue Cheng, Mathieu Ravaut, Hojin Yang, Kevin Shen, Jin Peng Zhou, Anson Wong, Saba Zuberi, Ivan Zhang, Nick Frosst, Helen Ngo, Carol Chen, Bharat Venkitesh, Stephen Gou, Aidan N. Gomez:
Predicting Twitter Engagement With Deep Language Models. RecSys Challenge 2020: 38-43 - [c3]Kai Luo, Hojin Yang, Ga Wu, Scott Sanner:
Deep Critiquing for VAE-based Recommender Systems. SIGIR 2020: 1269-1278 - [c2]Kai Luo, Scott Sanner, Ga Wu
, Hanze Li, Hojin Yang:
Latent Linear Critiquing for Conversational Recommender Systems. WWW 2020: 2535-2541
2010 – 2019
- 2018
- [c1]Hojin Yang, Yoonki Jeong, Minjin Choi
, Jongwuk Lee:
MMCF: Multimodal Collaborative Filtering for Automatic Playlist Continuation. RecSys Challenge 2018: 11:1-11:6
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