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Discriminative, Generative and Self-Supervised Approaches for Target-Agnostic Learning

Nov 12, 2020
Yuan Jin, Wray Buntine, Francois Petitjean, Geoffrey I. Webb

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SummPip: Unsupervised Multi-Document Summarization with Sentence Graph Compression

Jul 20, 2020
Jinming Zhao, Ming Liu, Longxiang Gao, Yuan Jin, Lan Du, He Zhao, He Zhang, Gholamreza Haffari

* accepted to SIGIR 2020 

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Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention

Jun 15, 2020
Ce Ju, Ruihui Zhao, Jichao Sun, Xiguang Wei, Bo Zhao, Yang Liu, Hongshan Li, Tianjian Chen, Xinwei Zhang, Dashan Gao, Ben Tan, Han Yu, Yuan Jin

* 4 pages, 3 figures, 1 table, Accepted for Workshop on Federated Learning for Data Privacy and Confidentiality in Conjunction with IJCAI 2020 (FL-IJCAI'20) 

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Leveraging Cross Feedback of User and Item Embeddings for Variational Autoencoder based Collaborative Filtering

Feb 21, 2020
Yuan Jin, He Zhao, Ming Liu, Lan Du, Yunfeng Li, Ruohua Xu, Longxiang Gao

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Variational Auto-encoder Based Bayesian Poisson Tensor Factorization for Sparse and Imbalanced Count Data

Oct 12, 2019
Yuan Jin, Lan Du, Longxiang Gao, Yong Xiang, Yunfeng Li, Ruohua Xu

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A Technical Survey on Statistical Modelling and Design Methods for Crowdsourcing Quality Control

Dec 05, 2018
Yuan Jin, Mark Carman, Ye Zhu, Yong Xiang

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Hierarchical clustering that takes advantage of both density-peak and density-connectivity

Oct 08, 2018
Ye Zhu, Kai Ming Ting, Yuan Jin, Maia Angelova

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Distinguishing Question Subjectivity from Difficulty for Improved Crowdsourcing

Feb 14, 2018
Yuan Jin, Mark Carman, Ye Zhu, Wray Buntine

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