Yusan Lin

According to our database1, Yusan Lin authored at least 20 papers between 2015 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
Denoising Self-Attentive Sequential Recommendation.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Semi-supervised Context Discovery for Peer-Based Anomaly Detection in Multi-layer Networks.
Proceedings of the Information and Communications Security - 24th International Conference, 2022

OutfitGAN: Learning Compatible Items for Generative Fashion Outfits.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

SmartQuery: An Active Learning Framework for Graph Neural Networks through Hybrid Uncertainty Reduction.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Event2Graph: Event-driven Bipartite Graph for Multivariate Time Series Forecasting and Anomaly Detection.
Proceedings of the Workshop on Applied Machine Learning Methods for Time Series Forecasting (AMLTS 2022) co-located with 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), 2022

2021
Event2Graph: Event-driven Bipartite Graph for Multivariate Time-series Anomaly Detection.
CoRR, 2021

Structured Graph Convolutional Networks with Stochastic Masks for Recommender Systems.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Tops, Bottoms, and Shoes: Building Capsule Wardrobes via Cross-Attention Tensor Network.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Forecast-based Multi-aspect Framework for Multivariate Time-series Anomaly Detection.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Fashion Recommendation and Compatibility Prediction Using Relational Network.
CoRR, 2020

OutfitNet: Fashion Outfit Recommendation with Attention-Based Multiple Instance Learning.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Economic Worth-Aware Word Embeddings.
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

2019
Predicting Next-Season Designs on High Fashion Runway.
CoRR, 2019

Learning Personal Tastes in Choosing Fashion Outfits.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
Modeling Dynamic Competition on Crowdfunding Markets.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

2017
Modeling Menu Bundle Designs of Crowdfunding Projects.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Analysis of rewards on reward-based crowdfunding platforms.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

Analyzing social media marketing in the high-end fashion industry using Named Entity Recognition.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015
Styles in the Fashion Social Network: An Analysis on Lookbook.nu.
Proceedings of the Social Computing, Behavioral-Cultural Modeling, and Prediction, 2015

Text-Generated Fashion Influence Model: An Empirical Study on Style.com.
Proceedings of the 48th Hawaii International Conference on System Sciences, 2015


  Loading...