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Neural Attention-Aware Hierarchical Topic Model


Oct 14, 2021
Yuan Jin, He Zhao, Ming Liu, Lan Du, Wray Buntine


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Transformer over Pre-trained Transformer for Neural Text Segmentation with Enhanced Topic Coherence


Oct 14, 2021
Kelvin Lo, Yuan Jin, Weicong Tan, Ming Liu, Lan Du, Wray Buntine


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Leveraging Information Bottleneck for Scientific Document Summarization


Oct 04, 2021
Jiaxin Ju, Ming Liu, Huan Yee Koh, Yuan Jin, Lan Du, Shirui Pan

* Accepted at EMNLP 2021 Findings 

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Learning to Rearrange Voxels in Binary Segmentation Masks for Smooth Manifold Triangulation


Aug 11, 2021
Jianning Li, Antonio Pepe, Christina Gsaxner, Yuan Jin, Jan Egger

* 18 pages, 11 figures, 1 table, 14 references 

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AI-based Aortic Vessel Tree Segmentation for Cardiovascular Diseases Treatment: Status Quo


Aug 06, 2021
Yuan Jin, Antonio Pepe, Jianning Li, Christina Gsaxner, Fen-hua Zhao, Jens Kleesiek, Alejandro F. Frangi, Jan Egger

* 44 pages (inclusive three pages supplemental material), 10 figures, 6 tables, 100 references 

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Federated Learning Meets Natural Language Processing: A Survey


Jul 27, 2021
Ming Liu, Stella Ho, Mengqi Wang, Longxiang Gao, Yuan Jin, He Zhang

* 19 pages 

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Topic Modelling Meets Deep Neural Networks: A Survey


Feb 28, 2021
He Zhao, Dinh Phung, Viet Huynh, Yuan Jin, Lan Du, Wray Buntine

* A review on Neural Topic Models 

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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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