Yusan Lin

Publication Activity (10 Years)

Years Active: 2015-2022
Publications (10 Years): 21

Top Topics

Active Learning Framework

Recommender Systems

Anomaly Detection

Top Venues

Publications

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)
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 (2022)
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)
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)
Lan Wang, Yusan Lin, Yuhang Wu, Huiyuan Chen, Fei Wang, Hao Yang
Forecast-based Multi-aspect Framework for Multivariate Time-series Anomaly Detection. CoRR (2022)
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 (2022)
Maryam Moosaei, Yusan Lin, Ablaikhan Akhazhanov, Huiyuan Chen, Fei Wang, Hao Yang
OutfitGAN: Learning Compatible Items for Generative Fashion Outfits. CVPR Workshops (2022)
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)
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)
Huiyuan Chen, Yusan Lin, Fei Wang, Hao Yang
Tops, Bottoms, and Shoes: Building Capsule Wardrobes via Cross-Attention Tensor Network. RecSys (2021)
Yuhang Wu, Mengting Gu, Lan Wang, Yusan Lin, Fei Wang, Hao Yang
Event2Graph: Event-driven Bipartite Graph for Multivariate Time-series Anomaly Detection. CoRR (2021)
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)
Maryam Moosaei, Yusan Lin, Hao Yang
Fashion Recommendation and Compatibility Prediction Using Relational Network. CoRR (2020)
Yusan Lin, Maryam Moosaei, Hao Yang
OutfitNet: Fashion Outfit Recommendation with Attention-Based Multiple Instance Learning. WWW (2020)
Yusan Lin, Peifeng Yin, Wang-Chien Lee
Economic Worth-Aware Word Embeddings. DSAA (2020)
Yusan Lin, Maryam Moosaei, Hao Yang
Learning Personal Tastes in Choosing Fashion Outfits. CVPR Workshops (2019)
Yusan Lin, Hao Yang
Predicting Next-Season Designs on High Fashion Runway. CoRR (2019)
Yusan Lin, Peifeng Yin, Wang-Chien Lee
Modeling Dynamic Competition on Crowdfunding Markets. WWW (2018)
Yusan Lin, Peifeng Yin, Wang-Chien Lee
Modeling Menu Bundle Designs of Crowdfunding Projects. CIKM (2017)
Jorge Ale Chilet, Cuicui Chen, Yusan Lin
Analyzing social media marketing in the high-end fashion industry using Named Entity Recognition. ASONAM (2016)
Yusan Lin, Wang-Chien Lee, Chung-Chou H. Chang
Analysis of rewards on reward-based crowdfunding platforms. ASONAM (2016)
Yusan Lin, Yilu Zhou, Heng Xu
Text-Generated Fashion Influence Model: An Empirical Study on Style.com. HICSS (2015)
Yusan Lin, Heng Xu, Yilu Zhou, Wang-Chien Lee
Styles in the Fashion Social Network: An Analysis on Lookbook.nu. SBP (2015)