Yusan Lin - RankMe

23 papers A* 3A 4B 3C 1Journal 6Unranked 6

Year	Rank	Type	Title / Venue / Authors
2022	A	`conf`	Denoising Self-Attentive Sequential Recommendation. RecSys Huiyuan Chen, Yusan Lin, Menghai Pan, Lan Wang, Chin-Chia Michael Yeh, Xiaoting Li, Yan Zheng, Fei Wang, Hao Yang
2022	J	`jnl`	Denoising Self-attentive Sequential Recommendation. CoRR Huiyuan Chen, Yusan Lin, Menghai Pan, Lan Wang, Chin-Chia Michael Yeh, Xiaoting Li, Yan Zheng, Fei Wang, Hao Yang
2022	—	`conf`	Event2Graph: Event-driven Bipartite Graph for Multivariate Time Series Forecasting and Anomaly Detection. AMLTS Yuhang Wu, Mengting Gu, Lan Wang, Yusan Lin, Fei Wang, Hao Yang
2022	J	`jnl`	Forecast-based Multi-aspect Framework for Multivariate Time-series Anomaly Detection. CoRR Lan Wang, Yusan Lin, Yuhang Wu, Huiyuan Chen, Fei Wang, Hao Yang
2022	—	`conf`	OutfitGAN: Learning Compatible Items for Generative Fashion Outfits. CVPR Workshops Maryam Moosaei, Yusan Lin, Ablaikhan Akhazhanov, Huiyuan Chen, Fei Wang, Hao Yang
2022	J	`jnl`	SMARTQUERY: An Active Learning Framework for Graph Neural Networks through Hybrid Uncertainty Reduction. CoRR Xiaoting Li, Yuhang Wu, Vineeth Rakesh, Yusan Lin, Hao Yang, Fei Wang
2022	C	`conf`	Semi-supervised Context Discovery for Peer-Based Anomaly Detection in Multi-layer Networks. ICICS Bo Dong, Yuhang Wu, Micheal Yeh, Yusan Lin, Yuzhong Chen, Hao Yang, Fei Wang, Wanxin Bai, Krupa Brahmkstri, Yimin Zhang, Chinna Kummitha, Verma Abhisar
2022	A	`conf`	SmartQuery: An Active Learning Framework for Graph Neural Networks through Hybrid Uncertainty Reduction. CIKM Xiaoting Li, Yuhang Wu, Vineeth Rakesh, Yusan Lin, Hao Yang, Fei Wang
2021	J	`jnl`	Event2Graph: Event-driven Bipartite Graph for Multivariate Time-series Anomaly Detection. CoRR Yuhang Wu, Mengting Gu, Lan Wang, Yusan Lin, Fei Wang, Hao Yang
2021	—	`conf`	Forecast-based Multi-aspect Framework for Multivariate Time-series Anomaly Detection. IEEE BigData Lan Wang, Yusan Lin, Yuhang Wu, Huiyuan Chen, Fei Wang, Hao Yang
2021	A*	`conf`	Structured Graph Convolutional Networks with Stochastic Masks for Recommender Systems. SIGIR Huiyuan Chen, Lan Wang, Yusan Lin, Chin-Chia Michael Yeh, Fei Wang, Hao Yang
2021	A	`conf`	Tops, Bottoms, and Shoes: Building Capsule Wardrobes via Cross-Attention Tensor Network. RecSys Huiyuan Chen, Yusan Lin, Fei Wang, Hao Yang
2020	B	`conf`	Economic Worth-Aware Word Embeddings. DSAA Yusan Lin, Peifeng Yin, Wang-Chien Lee
2020	J	`jnl`	Fashion Recommendation and Compatibility Prediction Using Relational Network. CoRR Maryam Moosaei, Yusan Lin, Hao Yang
2020	A*	`conf`	OutfitNet: Fashion Outfit Recommendation with Attention-Based Multiple Instance Learning. WWW Yusan Lin, Maryam Moosaei, Hao Yang
2019	—	`conf`	Learning Personal Tastes in Choosing Fashion Outfits. CVPR Workshops Yusan Lin, Maryam Moosaei, Hao Yang
2019	J	`jnl`	Predicting Next-Season Designs on High Fashion Runway. CoRR Yusan Lin, Hao Yang
2018	A*	`conf`	Modeling Dynamic Competition on Crowdfunding Markets. WWW Yusan Lin, Peifeng Yin, Wang-Chien Lee
2017	A	`conf`	Modeling Menu Bundle Designs of Crowdfunding Projects. CIKM Yusan Lin, Peifeng Yin, Wang-Chien Lee
2016	B	`conf`	Analysis of rewards on reward-based crowdfunding platforms. ASONAM Yusan Lin, Wang-Chien Lee, Chung-Chou H. Chang
2016	B	`conf`	Analyzing social media marketing in the high-end fashion industry using Named Entity Recognition. ASONAM Jorge Ale Chilet, Cuicui Chen, Yusan Lin
2015	—	`conf`	Styles in the Fashion Social Network: An Analysis on Lookbook.nu. SBP Yusan Lin, Heng Xu, Yilu Zhou, Wang-Chien Lee
2015	—	`conf`	Text-Generated Fashion Influence Model: An Empirical Study on Style.com. HICSS Yusan Lin, Yilu Zhou, Heng Xu