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2020 – today
- 2022
[c17]Yuhang Wu, Mengting Gu, Lan Wang, Yusan Lin, Fei Wang, Hao Yang:
Event2Graph: Event-driven Bipartite Graph for Multivariate Time Series Forecasting and Anomaly Detection. AMLTS 2022- [c16]Xiaoting Li, Yuhang Wu, Vineeth Rakesh, Yusan Lin, Hao Yang, Fei Wang:
SmartQuery: An Active Learning Framework for Graph Neural Networks through Hybrid Uncertainty Reduction. CIKM 2022: 4199-4203 - [c15]Maryam Moosaei, Yusan Lin, Ablaikhan Akhazhanov, Huiyuan Chen, Fei Wang, Hao Yang:
OutfitGAN: Learning Compatible Items for Generative Fashion Outfits. CVPR Workshops 2022: 2272-2276 - [c14]Bo Dong, Yuhang Wu, Micheal Yeh, Yusan Lin, Yuzhong Chen, Hao Yang, Fei Wang, Wanxin Bai, Krupa Brahmkstri, Yimin Zhang, Chinna Kummitha, Verma Abhisar:
Semi-supervised Context Discovery for Peer-Based Anomaly Detection in Multi-layer Networks. ICICS 2022: 508-524 - [c13]Huiyuan Chen, Yusan Lin, Menghai Pan, Lan Wang, Chin-Chia Michael Yeh, Xiaoting Li, Yan Zheng, Fei Wang, Hao Yang:
Denoising Self-Attentive Sequential Recommendation. RecSys 2022: 92-101 - [i6]Lan Wang, Yusan Lin, Yuhang Wu, Huiyuan Chen, Fei Wang, Hao Yang:
Forecast-based Multi-aspect Framework for Multivariate Time-series Anomaly Detection. CoRR abs/2201.04792 (2022) - [i5]Xiaoting Li, Yuhang Wu, Vineeth Rakesh, Yusan Lin, Hao Yang, Fei Wang:
SMARTQUERY: An Active Learning Framework for Graph Neural Networks through Hybrid Uncertainty Reduction. CoRR abs/2212.01440 (2022) - [i4]Huiyuan Chen, Yusan Lin, Menghai Pan, Lan Wang, Chin-Chia Michael Yeh, Xiaoting Li, Yan Zheng, Fei Wang, Hao Yang:
Denoising Self-attentive Sequential Recommendation. CoRR abs/2212.04120 (2022) - 2021
- [c12]Lan Wang, Yusan Lin, Yuhang Wu, Huiyuan Chen, Fei Wang, Hao Yang:
Forecast-based Multi-aspect Framework for Multivariate Time-series Anomaly Detection. IEEE BigData 2021: 938-947 - [c11]Huiyuan Chen, Yusan Lin, Fei Wang, Hao Yang:
Tops, Bottoms, and Shoes: Building Capsule Wardrobes via Cross-Attention Tensor Network. RecSys 2021: 453-462 - [c10]Huiyuan Chen, Lan Wang, Yusan Lin, Chin-Chia Michael Yeh, Fei Wang, Hao Yang:
Structured Graph Convolutional Networks with Stochastic Masks for Recommender Systems. SIGIR 2021: 614-623 - [i3]Yuhang Wu, Mengting Gu, Lan Wang, Yusan Lin, Fei Wang, Hao Yang:
Event2Graph: Event-driven Bipartite Graph for Multivariate Time-series Anomaly Detection. CoRR abs/2108.06783 (2021) - 2020
- [c9]Yusan Lin, Peifeng Yin, Wang-Chien Lee:
Economic Worth-Aware Word Embeddings. DSAA 2020: 344-353 - [c8]Yusan Lin, Maryam Moosaei, Hao Yang:
OutfitNet: Fashion Outfit Recommendation with Attention-Based Multiple Instance Learning. WWW 2020: 77-87 - [i2]Maryam Moosaei, Yusan Lin, Hao Yang:
Fashion Recommendation and Compatibility Prediction Using Relational Network. CoRR abs/2005.06584 (2020)
2010 – 2019
- 2019
- [c7]Yusan Lin, Maryam Moosaei, Hao Yang:
Learning Personal Tastes in Choosing Fashion Outfits. CVPR Workshops 2019: 313-315 - [i1]Yusan Lin, Hao Yang:
Predicting Next-Season Designs on High Fashion Runway. CoRR abs/1907.07161 (2019) - 2018
- [c6]Yusan Lin, Peifeng Yin, Wang-Chien Lee:
Modeling Dynamic Competition on Crowdfunding Markets. WWW 2018: 1815-1824 - 2017
- [c5]Yusan Lin, Peifeng Yin, Wang-Chien Lee:
Modeling Menu Bundle Designs of Crowdfunding Projects. CIKM 2017: 1079-1088 - 2016
- [c4]Yusan Lin, Wang-Chien Lee, Chung-Chou H. Chang:
Analysis of rewards on reward-based crowdfunding platforms. ASONAM 2016: 501-504 - [c3]Jorge Ale Chilet
, Cuicui Chen, Yusan Lin:
Analyzing social media marketing in the high-end fashion industry using Named Entity Recognition. ASONAM 2016: 621-622 - 2015
- [c2]Yusan Lin, Yilu Zhou, Heng Xu:
Text-Generated Fashion Influence Model: An Empirical Study on Style.com. HICSS 2015: 3642-3650 - [c1]Yusan Lin, Heng Xu, Yilu Zhou, Wang-Chien Lee:
Styles in the Fashion Social Network: An Analysis on Lookbook.nu. SBP 2015: 356-361
Coauthor Index
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