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Learning Graph Neural Networks with Positive and Unlabeled Nodes


Mar 08, 2021
Man Wu, Shirui Pan, Lan Du, Xingquan Zhu

* Accepted to ACM Transactions on Knowledge Discovery from Data (TKDD) 

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Stratified Sampling for Extreme Multi-Label Data


Mar 05, 2021
Maximillian Merrillees, Lan Du


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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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Collaborative Teacher-Student Learning via Multiple Knowledge Transfer


Jan 27, 2021
Liyuan Sun, Jianping Gou, Baosheng Yu, Lan Du, Dacheng Tao

* 16 pages,5 figures,6 Tables 

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Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs


Oct 15, 2020
Jueqing Lu, Lan Du, Ming Liu, Joanna Dipnall


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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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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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Variational Autoencoders for Sparse and Overdispersed Discrete Data


May 24, 2019
He Zhao, Piyush Rai, Lan Du, Wray Buntine, Mingyuan Zhou


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Deep Generative Models for Sparse, High-dimensional, and Overdispersed Discrete Data


May 02, 2019
He Zhao, Piyush Rai, Lan Du, Wray Buntine, Mingyuan Zhou

* Code at https://github.com/ethanhezhao/NBVAE 

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Dirichlet belief networks for topic structure learning


Nov 02, 2018
He Zhao, Lan Du, Wray Buntine, Mingyuan Zhou

* accepted in NIPS 2018 

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Improving Topic Models with Latent Feature Word Representations


Oct 15, 2018
Dat Quoc Nguyen, Richard Billingsley, Lan Du, Mark Johnson

* Transactions of the Association for Computational Linguistics, vol. 3, pp. 299-313, 2015 
* The published version is available at: https://transacl.org/ojs/index.php/tacl/article/view/582 ; The source code is available at: https://github.com/datquocnguyen/LFTM 

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MetaLDA: a Topic Model that Efficiently Incorporates Meta information


Sep 19, 2017
He Zhao, Lan Du, Wray Buntine, Gang Liu

* To appear in ICDM 2017 

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Leveraging Node Attributes for Incomplete Relational Data


Jun 14, 2017
He Zhao, Lan Du, Wray Buntine

* Appearing in ICML 2017 

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Nonparametric Bayesian Topic Modelling with the Hierarchical Pitman-Yor Processes


Sep 22, 2016
Kar Wai Lim, Wray Buntine, Changyou Chen, Lan Du

* International Journal of Approximate Reasoning, Volume 78, pp. 172-191. Elsevier. 2016 
* Preprint for International Journal of Approximate Reasoning 

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