Lan Du

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All published works

Action	Title	Year	Authors
+ PDF Chat	Multi-Label Bayesian Active Learning with Inter-Label Relationships	2024	Yuanyuan Qi Jueqing Lu Xiaohao Yang Joanne Enticott Lan Du
+ PDF Chat	Neural Topic Modeling with Large Language Models in the Loop	2024	Xiaohao Yang He Zhao Weijie Xu Yuanyuan Qi Jueqing Lu Dinh Phung Lan Du
+ PDF Chat	Federated Distillation: A Survey	2024	Li Lin Jianping Gou Baosheng Yu Lan Du Zhang Tao
+ PDF Chat	Harnessing the Power of Beta Scoring in Deep Active Learning for Multi-Label Text Classification	2024	Wei Tan Ngoc Dang Nguyen Lan Du Wray Buntine
+	Harnessing the Power of Beta Scoring in Deep Active Learning for Multi-Label Text Classification	2024	Wei Tan Ngoc Dang Nguyen Lan Du Wray Buntine
+	HiTSKT: A hierarchical transformer model for session-aware knowledge tracing	2023	Fucai Ke Weiqing Wang Weicong Tan Lan Du Yuan Jin Yujin Huang Hongzhi Yin
+ PDF Chat	Bayesian Estimate of Mean Proper Scores for Diversity-Enhanced Active Learning	2023	Wei Tan Lan Du Wray Buntine
+ PDF Chat	Low-Resource Named Entity Recognition: Can One-vs-All AUC Maximization Help?	2023	Ngoc Dang Nguyen Wei Tan Lan Du Wray Buntine Richard Beare Changyou Chen
+ PDF Chat	Prototype-Guided Memory Replay for Continual Learning	2023	Stella Ho Ming Liu Lan Du Longxiang Gao Yong Xiang
+ PDF Chat	Does Informativeness Matter? Active Learning for Educational Dialogue Act Classification	2023	Wei Tan Jionghao Lin David Lang Guanliang Chen Dragan Gašević Lan Du Wray Buntine
+ PDF Chat	Robust Educational Dialogue Act Classifiers with Low-Resource and Imbalanced Datasets	2023	Jionghao Lin Wei Tan Ngoc Dang Nguyen David Lang Lan Du Wray Buntine Richard Beare Guanliang Chen Dragan Gašević
+	Towards Generalising Neural Topical Representations	2023	Xiaohao Yang He Zhao Dinh Phung Lan Du
+	Re-weighting Tokens: A Simple and Effective Active Learning Strategy for Named Entity Recognition	2023	Haocheng Luo Wei Tan Ngoc Dang Nguyen Lan Du
+	Re-weighting Tokens: A Simple and Effective Active Learning Strategy for Named Entity Recognition	2023	Haocheng Luo Wei Tan Ngoc Thanh Nguyên Lan Du
+ PDF Chat	SpeechFormer: A Hierarchical Efficient Framework Incorporating the Characteristics of Speech	2022	Weidong Chen Xiaofen Xing Xiangmin Xu Jianxin Pang Lan Du
+	Diversity Enhanced Active Learning with Strictly Proper Scoring Rules	2021	Wei Tan Lan Du Wray Buntine
+	Diversity Enhanced Active Learning with Strictly Proper Scoring Rules	2021	Wei Tan Lan Du Wray Buntine
+	Leveraging Information Bottleneck for Scientific Document Summarization	2021	Jiaxin Ju Ming Liu Huan Yee Koh Yuan Jin Lan Du Shirui Pan
+	Prototypes-Guided Memory Replay for Continual Learning.	2021	Stella Ho Ming Liu Lan Du Longxiang Gao Yong Xiang
+	Topic Modelling Meets Deep Neural Networks: A Survey	2021	He Zhao Dinh Phung Viet Huynh Yuan Jin Lan Du Wray Buntine
+ PDF Chat	Learning Graph Neural Networks with Positive and Unlabeled Nodes	2021	Man Wu Shirui Pan Lan Du Xingquan Zhu
+	Collaborative Teacher-Student Learning via Multiple Knowledge Transfer	2021	Liyuan Sun Jianping Gou Baosheng Yu Lan Du Dacheng Tao
+	Stratified Sampling for Extreme Multi-Label Data	2021	Maximillian Merrillees Lan Du
+	Topic Modelling Meets Deep Neural Networks: A Survey	2021	He Zhao Dinh Phung Viet Huynh Yuan Jin Lan Du Wray Buntine
+ PDF Chat	Stratified Sampling for Extreme Multi-label Data	2021	Maximillian Merrillees Lan Du
+	Neural Attention-Aware Hierarchical Topic Model	2021	Yuan Jin He Zhao Ming Liu Lan Du Wray Buntine
+	Transformer over Pre-trained Transformer for Neural Text Segmentation with Enhanced Topic Coherence	2021	Kelvin Lo Yuan Jin Weicong Tan Ming Liu Lan Du Wray Buntine
+	Multilingual Neural Machine Translation: Can Linguistic Hierarchies Help?	2021	Fahimeh Saleh Wray Buntine Gholamreza Haffari Lan Du
+	Multilingual Neural Machine Translation:Can Linguistic Hierarchies Help?	2021	Fahimeh Saleh Wray Buntine Gholamreza Haffari Lan Du
+	Leveraging Information Bottleneck for Scientific Document Summarization	2021	Jiaxin Ju Ming Liu Huan Yee Koh Yuan Jin Lan Du Shirui Pan
+ PDF Chat	Neural Attention-Aware Hierarchical Topic Model	2021	Yuan Jin He Zhao Ming Liu Lan Du Wray Buntine
+	Leveraging Information Bottleneck for Scientific Document Summarization	2021	Jiaxin Ju Ming Liu Huan Yee Koh Jin Yuan Lan Du Shirui Pan
+ PDF Chat	Variational auto-encoder based Bayesian Poisson tensor factorization for sparse and imbalanced count data	2020	Yuan Jin Ming Liu Yunfeng Li Ruohua Xu Lan Du Longxiang Gao Yong Xiang
+ PDF Chat	SummPip: Unsupervised Multi-Document Summarization with Sentence Graph Compression	2020	Jinming Zhao Ming Liu Longxiang Gao Yuan Jin Lan Du He Zhao He Zhang Gholamreza Haffari
+	Leveraging Cross Feedback of User and Item Embeddings with Attention for Variational Autoencoder based Collaborative Filtering	2020	Yuan Jin He Zhao Ming Liu Ye Zhu Lan Du Longxiang Gao Wray Buntine
+	Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs	2020	Jueqing Lu Lan Du Ming Liu Joanna F. Dipnall
+ PDF Chat	Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs	2020	Jueqing Lu Lan Du Ming Liu Joanna F. Dipnall
+	Variational Autoencoders for Sparse and Overdispersed Discrete Data	2019	He Zhao Piyush Rai Lan Du Wray Buntine Mingyuan Zhou
+	Deep Generative Models for Sparse, High-dimensional, and Overdispersed Discrete Data	2019	He Zhao Piyush Rai Lan Du Wray Buntine Mingyuan Zhou
+	Variational Autoencoders for Sparse and Overdispersed Discrete Data	2019	He Zhao Piyush Rai Lan Du Wray Buntine Dinh Phung Mingyuan Zhou
+ PDF Chat	Dirichlet belief networks for topic structure learning	2018	He Zhao Lan Du Wray Buntine Mingyuan Zhou
+	Improving Topic Models with Latent Feature Word Representations	2018	Dat Quoc Nguyen Richard Billingsley Lan Du Mark Johnson
+	Dirichlet belief networks for topic structure learning	2018	He Zhao Lan Du Wray Buntine Mingyuan Zhou
+ PDF Chat	MetaLDA: A Topic Model that Efficiently Incorporates Meta Information	2017	He Zhao Lan Du Wray Buntine Gang Liu
+	Leveraging Node Attributes for Incomplete Relational Data	2017	He Zhao Lan Du Wray Buntine
+	MetaLDA: a Topic Model that Efficiently Incorporates Meta information	2017	He Zhao Lan Du Wray Buntine Gang Liu
+	Leveraging Node Attributes for Incomplete Relational Data	2017	He Zhao Lan Du Wray Buntine
+	Nonparametric Bayesian topic modelling with the hierarchical Pitman–Yor processes	2016	Kar Wai Lim Wray Buntine Changyou Chen Lan Du
+ PDF Chat	Improving Topic Models with Latent Feature Word Representations	2015	Dat Quoc Nguyen Richard Billingsley Lan Du Mark Johnson
+ PDF Chat	Sampling Table Configurations for the Hierarchical Poisson-Dirichlet Process	2011	Changyou Chen Lan Du Wray Buntine
+	The Definition and Application of Concorning Time in the Framework of Relativity	2004	Lan Du

Common Coauthors

Coauthor	Papers Together
Wray Buntine	27
He Zhao	11
Yuan Jin	11
Wei Tan	10
Ming Liu	7
Dinh Phung	5
Longxiang Gao	5
Mingyuan Zhou	5
Ngoc Dang Nguyen	5
Jueqing Lu	4
Shirui Pan	4
Piyush Rai	3
Xiaohao Yang	3
Huan Yee Koh	3
Gholamreza Haffari	3
Yong Xiang	3
Jiaxin Ju	3
Maximillian Merrillees	2
Weicong Tan	2
Joanna F. Dipnall	2
Jionghao Lin	2
Mark Johnson	2
Dragan Gašević	2
He Zhao	2
Jianping Gou	2
David Lang	2
Haocheng Luo	2
Viet Huynh	2
Dat Quoc Nguyen	2
Richard Beare	2
Fahimeh Saleh	2
Richard Billingsley	2
Guanliang Chen	2
Baosheng Yu	2
Ming Liu	2
He Zhao	2
Stella Ho	2
Changyou Chen	2
Dacheng Tao	1
Kelvin Lo	1
Kar Wai Lim	1
Ming Liu	1
Jianxin Pang	1
Xingquan Zhu	1
Gang Liu	1
Xiaofen Xing	1
Hongzhi Yin	1
Fucai Ke	1
He Zhao	1
Yunfeng Li	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	5
+	A Bayesian View of the Poisson-Dirichlet Process	2010	Wray Buntine Marcus Hütter	5
+	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	2018	Jacob Devlin Ming‐Wei Chang Kenton Lee Kristina Toutanova	5
+ PDF Chat	Negative Binomial Process Count and Mixture Modeling	2013	Mingyuan Zhou Lawrence Carin	4
+	Bayesian Active Learning for Classification and Preference Learning	2011	Neil Houlsby Ferenc Huszár Zoubin Ghahramani Máté Lengyel	3
+	Beta-Negative Binomial Process and Poisson Factor Analysis	2011	Mingyuan Zhou Lauren A. Hannah David B. Dunson Lawrence Carin	3
+ PDF Chat	Sampling Table Configurations for the Hierarchical Poisson-Dirichlet Process	2011	Changyou Chen Lan Du Wray Buntine	3
+ PDF Chat	Get To The Point: Summarization with Pointer-Generator Networks	2017	Abigail See Peter J. Liu Christopher D. Manning	3
+ PDF Chat	Sparsemax and Relaxed Wasserstein for Topic Sparsity	2019	Tianyi Lin Zhiyue Tom Hu Xin Guo	3
+	Neural Variational Inference for Text Processing	2015	Yishu Miao Lei Yu Phil Blunsom	3
+	Generating Sentences from a Continuous Space	2016	Samuel R. Bowman Luke Vilnis Oriol Vinyals Andrew M. Dai Rafał Józefowicz Samy Bengio	3
+	Convolutional Neural Networks for Sentence Classification	2014	Yoon Kim	3
+ PDF Chat	Active learning using uncertainty information	2016	Yazhou Yang Marco Loog	3
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	3
+	HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization	2019	Xingxing Zhang Furu Wei Ming Zhou	3
+ PDF Chat	LexRank: Graph-based Lexical Centrality as Salience in Text Summarization	2004	Güneş Erkan Dragomir Radev	3
+ PDF Chat	AUC Maximization for Low-Resource Named Entity Recognition	2023	Ngoc Dang Nguyen Wei Tan Lan Du Wray Buntine Richard Beare Changyou Chen	3
+	Graph Convolutional Networks for Classification with a Structured Label Space	2017	Meihao Chen Zhuo-Ru Lin Kyunghyun Cho	3
+ PDF Chat	The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies	2010	David M. Blei Thomas L. Griffiths Michael I. Jordan	3
+	Deep Bayesian Active Learning with Image Data	2017	Yarin Gal Riashat Islam Zoubin Ghahramani	2
+ PDF Chat	Multi-GCN: Graph Convolutional Networks for Multi-View Networks, with Applications to Global Poverty	2019	Muhammad Raza Khan Joshua Blumenstock	2
+	Autoencoding Variational Inference For Topic Models	2017	Akash Srivastava Charles Sutton	2
+	Sample Efficient Text Summarization Using a Single Pre-Trained Transformer	2019	Urvashi Khandelwal Kevin Clark Dan Jurafsky Łukasz Kaiser	2
+ PDF Chat	Multi-Label Image Recognition With Graph Convolutional Networks	2019	Zhao-Min Chen Xiu-Shen Wei Peng Wang Yanwen Guo	2
+	MeanSum: A Neural Model for Unsupervised Multi-document Abstractive Summarization	2018	Eric Chu Peter J. Liu	2
+	A Bayesian Interpretation of Interpolated Kneser-Ney	2006	YW Teh	2
+	BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning	2019	Andreas Kirsch Joost van Amersfoort Yarin Gal	2
+	The Nonparametric Metadata Dependent Relational Model	2012	Dae Il Kim Michael C. Hughes Erik B. Sudderth	2
+ PDF Chat	fairseq: A Fast, Extensible Toolkit for Sequence Modeling	2019	Myle Ott Sergey Edunov Alexei Baevski Angela Fan Sam Gross Nathan Ng David Grangier Michael Auli	2
+	Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds	2019	Jordan T. Ash Chicheng Zhang Akshay Krishnamurthy John Langford Alekh Agarwal	2
+	Topic Modeling with Wasserstein Autoencoders	2019	Nan Feng Ran Ding Ramesh Nallapati Bing Xiang	2
+	The information bottleneck method	2000	Naftali Tishby Fernando C. N. Pereira William Bialek	2
+ PDF Chat	Theory and applications of proper scoring rules	2014	Alexander Philip Dawid Monica Musio	2
+ PDF Chat	Capsule Networks Against Medical Imaging Data Challenges	2018	Amelia Jiménez-Sánchez Shadi Albarqouni Diana Mateus	2
+	Scikit-learn: Machine Learning in Python	2012	Fabián Pedregosa Gaël Varoquaux Alexandre Gramfort Vincent Michel Bertrand Thirion Olivier Grisel Mathieu Blondel Peter Prettenhofer Ron J. Weiss Vincent Dubourg	2
+ PDF Chat	The two-parameter Poisson-Dirichlet distribution derived from a stable subordinator	1997	Jim Pitman Marc Yor	2
+	Discovering Discrete Latent Topics with Neural Variational Inference	2017	Yishu Miao Edward Grefenstette Phil Blunsom	2
+	Active Learning for Convolutional Neural Networks: A Core-Set Approach	2017	Ozan Şener Silvio Savarese	2
+ PDF Chat	ML-Net: multi-label classification of biomedical texts with deep neural networks	2019	Jingcheng Du Qingyu Chen Yifan Peng Yang Xiang Cui Tao Zhiyong Lu	2
+ PDF Chat	Neural Summarization by Extracting Sentences and Words	2016	Jianpeng Cheng Mirella Lapata	2
+	Learning without Forgetting	2017	Zhizhong Li Derek Hoiem	2
+	SenGen: Sentence Generating Neural Variational Topic Model	2017	Ramesh Nallapati Igor Melnyk Abhishek Kumar Bowen Zhou	2
+	Gibbs Sampling Methods for Stick-Breaking Priors	2001	Hemant Ishwaran Lancelot F. James	2
+	WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling	2018	Hao Zhang Bo Chen Dandan Guo Mingyuan Zhou	2
+	Overcoming catastrophic forgetting in neural networks	2017	James Kirkpatrick Razvan Pascanu Neil C. Rabinowitz Joel Veness Guillaume Desjardins Andrei A. Rusu Kieran Milan John Quan Tiago Ramalho Agnieszka Grabska‐Barwińska	2
+	Stochastic variational inference	2013	Matthew D. Hoffman David M. Blei Chong Wang John Paisley	2
+ PDF Chat	Bayesian latent variable models for mixed discrete outcomes	2004	David B. Dunson Amy H. Herring	2
+	Distilling the Knowledge in a Neural Network	2015	Geoffrey E. Hinton Oriol Vinyals Jay B. Dean	2
+	A Review of Relational Machine Learning for Knowledge Graphs	2015	Maximilian Nickel Kevin Murphy Volker Tresp Evgeniy Gabrilovich	2
+ PDF Chat	On the limited memory BFGS method for large scale optimization	1989	Cheng‐Di Dong Jorge Nocedal	2