Du, Lan

Faculty of Information Technology

Room 270, Woodside Building - 20 Exhibition Walk

Monash University, Clayton, VIC 3800

Tel: +61 3 9905 9971

Email: given_name.surname@monash.edu

2023

  1. Jianping Gou, Xiangshuo Xiong, Baosheng Yu, Lan Du, Yibing Zhan, Dacheng Tao
    Multi-target Knowledge Distillation via Student Self-reflection
    International Journal of Computer Vision
  2. Jionghao Lin, Wei Tan, Ngoc Dang Nguyen, David Lang, Lan Du, Wray Buntine, Richard Beare, Guanliang Chen, Dragan Gasevic
    Robust Educational Dialogue Act Classifiers with Low-Resource and Imbalanced Datasets
    The 24th International Conference on Artificial Intelligence in Education (AIED)
  3. Wei Tan, Jionghao Lin, David Lang, Guanliang Chen, Dragan Gasevic, Lan Du, Wray Buntine
    Does Informativeness Matter? Active Learning for Educational Dialogue Act Classification
    The 24th International Conference on Artificial Intelligence in Education (AIED)
  4. Jianping Gou, Xin He, Lan Du, Baosheng Yu, Wenbai Chen, Zhang Yi
    Hierarchical Locality-aware Deep Dictionary Learning for Classification
    IEEE Transactions on Multimedia
  5. Ngoc Dang Nguyen, Wei Tan, Wray Buntine, Richard Beare, Changyou Chen, Lan Du
    AUC Maximization for Low-Resource Named Entity Recognition
    AAAI
  6. Jianping Gou, Xia Yuan, Ya Xue, Lan Du, Jiali Yu, Shuyin Xia, Yi Zhang
    Discriminative and Geometry-Preserving Adaptive Graph Embedding for dimensionality reduction
    Neural Networks
  7. Stella Ho, Ming Liu, Lan Du, Longxiang Gao, Yong Xiang
    Prototypes-Guided Memory Replay for Continual Learning
    IEEE Transactions on Neural Networks and Learning Systems

2022

  1. Matthew Coleman, Joanna F Dipnall, Myong Chol Jung, Lan Du
    PreRadE: Pretraining Tasks on Radiology Images and Reports Evaluation Framework
    Mathematics
  2. Ngoc Dang Nguyen, Lan Du, Wray Buntine, Changyou Chen, Richard Beare
    Hardness-guided domain adaptation to recognise biomedical named entities under low-resource scenarios
    the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  3. Erxin Yu, Lan Du, Yuan Jin, Zhepei Wei, Yi Chang
    Learning Semantic Textual Similarity via Topic-informed Discrete Latent Variables
    the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  4. Jianping Gou, Liyuan Sun, Baosheng Yu, Lan Du, Kotagiri Ramamohanarao, Dacheng Tao
    Collaborative Knowledge Distillation via Multiknowledge Transfer
    IEEE Transactions on Neural Networks and Learning Systems
  5. Stella Ho, Ming Liu, Lan Du, Yunfeng Li, Longxiang Gao, Shang Gao
    Semi-supervised Continual Learning with Meta Self-training
    the 31st ACM International Conference on Information & Knowledge Management (CIKM)
  6. Joanna F Dipnall, Jueqing Lu, Belinda J Gabbe, Filip Cosic, Elton Edwards, Richard Page, Lan Du
    Comparison of state-of-the-art machine and deep learning algorithms to classify proximal humeral fractures using radiology text
    European Journal of Radiology
  7. Jianping Gou, Xia Yuan, Lan Du, Shuyin Xia, Zhang Yi
    Hierarchical graph augmented deep collaborative dictionary learning for classification
    IEEE Transactions on Intelligent Transportation Systems
  8. Jianping Gou, Liyuan Sun, Lan Du, Hongxing Ma, Taisong Xiong, Weihua Ou, Yongzhao Zhan
    A representation coefficient-based k-nearest centroid neighbor classifier
    Expert Systems with Applications
  9. Junyi Chen, Lan Du, Ming Liu, Xiabing Zhou Mulan: A Multiple Residual Article-Wise Attention Network for Legal Judgment Prediction
    Transactions on Asian and Low-Resource Language Information Processing
  10. Myong Chol Jung, He Zhao, Joanna Dipnall, Belinda Gabbe, Lan Du 📧
    Uncertainty Estimation for Multi-view Data: The Power of Seeing the Whole Picture
    Advances in Neural Information Processing Systems (NeurIPS)

2021

  1. Jianping Gou, Xiangshuo Xiong, Hongwei Wu, Lan Du, Shaoning Zeng, Yunhao Yuan, Weihua Ou
    Locality‑constrained weighted collaborative‑competitive representation for classifcation
    International Journal of Machine Learning and Cybernetics [PDF]
  2. Yiting Li, Liyuan Sun, Jianping Gou, Lan Du, Weihua Ou
    Feature fusion-based collaborative learning for knowledge distillation
    International Journal of Distributed Sensor Networks [PDF]
  3. Wei Tan, Lan Du 📧 , Wray Buntine
    Diversity Enhanced Active Learning with Strictly Proper Scoring Rules
    Advances in Neural Information Processing Systems (NeurIPS) [PDF]
  4. Fahimeh Saleh, Wray Buntine, Gholamreza Haffari, Lan Du Lan Du 📧
    Multilingual Neural Machine Translation: Can Linguistic Hierarchies Help?
    EMNLP [PDF]
  5. Kelvin Lo, Yuan Jin, Weicong Tan, Ming Liu, Lan Du 📧 , Wray Buntine
    Transformer over Pre-trained Transformer for Neural Text Segmentation with Enhanced Topic Coherence
    EMNLP [PDF]
  6. Yuan Jin, He Zhao, Ming Liu, Lan Du 📧 , Wray Buntine
    Neural Attention-Aware Hierarchical Topic Model
    EMNLP [PDF]
  7. Jiaxin Ju, Ming Liu, Huan Yee Koh, Yuan Jin, Lan Du Leveraging Information Bottleneck for Scientific Document Summarization
    EMNLP [PDF]
  8. Joanna F Dipnall, Richard Page, Lan Du, Matthew Costa, Ronan A Lyons, Peter Cameron, Richard de Steiger, Raphael Hau, Andrew Bucknill, Andrew Oppy, Elton Edwards, Dinesh Varma, Myong Chol Jung, Belinda J Gabbe
    Predicting fracture outcomes from clinical registry data using artificial intelligence supplemented models for evidence-informed treatment (PRAISE) study protocol
    Plos one [HTML]
  9. He Zhao, Dinh Phung, Viet Huynh, Yuan Jin, Lan Du, Wray Buntine
    Topic Modelling Meets Deep Neural Networks: A Survey
    IJCAI Survey Track [PDF]
  10. Yuan Jin, Ming Liu, Yunfeng Li, Ruohua Xu, Lan Du, Longxiang Gao, Yong Xiang
    Variational auto-encoder based Bayesian Poisson tensor factorization for sparse and imbalanced count data
    Data Mining and Knowledge Discovery [PDF]
  11. Jianping Gou,Jun Song, Lan Du, Shaoning Zeng, Yongzhao Zhan, Zhang Yi
    Class Mean-Weighted Discriminative Collaborative Representation for Classification
    International Journal of Intelligent Systems [PDF]
  12. Maximillian Merrillees and Lan Du
    Stratified Sampling for Extreme Multi-Label Data
    PAKDD
  13. Man Wu, Shirui Pan, Lan Du, Xingquan Zhu
    Learning Graph Neural Networks with Positive and Unlabeled Nodes.
    ACM Transactions on Knowledge Discovery from Data (TKDD)

2020

  1. Jianping Gou, Yuanyuan Yang, Yong Liu, Yunhao Yuan, Lan Du, Hebiao Yang
    Collaborative representation-based locality preserving projections for image classification
    The Journal of Engineering 2020, Pages 310-315
  2. Yuan Jin, Ming Liu, Yunfeng Li, Ruohua Xu, Lan Du, Longxiang Gao, Yong Xiang
    Variational auto-encoder based Bayesian Poisson tensor factorization for sparse and imbalanced count data
    Data Mining and Knowledge Discovery
  3. Jueqing Lu, Lan Du, Ming Liu, Joanna Dipnall
    Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs
    EMNLP, Pages 2935-2943
  4. Jinming Zhao, Ming Liu, Longxiang Gao, Yuan Jin, Lan Du, He Zhao, He Zhang, Gholamreza Haffari
    SummPip: Unsupervised Multi-Document Summarization with Sentence Graph Compression
    SIGIR, Pages 1949-1952
  5. He Zhao, Piyush Rai, Lan Du, Wray Buntine, Dinh Phung, Mingyuan Zhou
    Variational Autoencoders for Sparse and Overdispersed Discrete Data
    AISTATS, Pages 1684-1694
  6. Jianping Gou, Hongwei Wu, Heping Song, Lan Du, Weihua Ou, Shaoning Zeng, Jia Ke
    Double competitive constraints-based collaborative representation for pattern classification
    Computers & Electrical Engineering

2019

  1. Jianping Gou, Jun Song, Weihua Ou, Shaoning Zeng, Yunhao Yuan, Lan Du
    "Representation-based classification methods with enhanced linear reconstruction measures for face recognition"
    Computers & Electrical Engineering
  2. Man Wu, Shirui Pan, Lan Du, Ivor Tsang, Xingquan Zhu, Bo Du
    "Long-short Distance Aggregation Networks for Positive Unlabeled Graph Learning"
    CIKM
  3. He zhao, Lan Du, Guanfeng Liu, Wray Buntine,
    "Leveraging Meta Information in Short Text Aggregation"
    ACL
  4. He Zhao, Lan Du, Wray Buntine, Gang Liu,
    “Leveraging External Information In Topic Modelling”,
    Knowledge and Information Systems (KAIS), pages 661-693
  5. He Zhao, Piyush Rai, Lan Du, Wray Buntine, Dinh Phung, Mingyuan Zhou
    "Deep Generative Models of Sparse and Overdispersed Discrete Data"
    4th workshop on Bayesian Deep Learning (NeurIPS 2019)

2018

  1. He zhao, Lan Du, Wray Buntine, Minyuan Zhou,
    "Dirichlet Belief Networks as Structured Topic Prior",
    NIPS 2018, pages 7966-7977
  2. He zhao, Lan Du, Wray Buntine, Minyuan Zhou,
    “Inter and Intra Topic Structure Learning with Word Embeddings”,
    ICML 2018, pages 5887-5896
  3. Yuan Jin, Lan Du, Ye Zhu, Mark Carman,
    “Leveraging Label Category Relationships in Multi-class Crowdsourcing”,
    PAKDD 2018, pages 128-140
  4. He Zhao, Piyush Rai, Lan Du, Wray Buntine,
    “Bayesian Multi-label Learning with Sparse Features and Labels, and Label Co-occurrences”,
    AISTATS 2018, pages 1943-1951
  5. Jianping Gou, Zhang Yi, David Zhang, Yongzhao Zhan, Xiangjun Shen, Lan Du
    Sparsity and Geometry Preserving Graph Embedding for Dimensionality Reduction
    IEEE Access, Vol 6, Pages 75748-75766, 2018
  6. Jianping Gou, Yong Xu, David Zhang, Qirong Mao, Lan Du, Yongzhao Zhan,
    “Two-Phase Linear Reconstruction Measure-Based Classification for Face Recognition”,
    Information Sciences, Volumes 433–434, Pages 17–36, 2018.

2017

  1. He Zhao, Lan Du, and Wray Buntine,
    “A Word Embeddings Informed Focused Topic Model”,
    ACML 2017, pages 423–438
  2. He Zhao, Lan Du, Wray Buntine, and Gang Liu,
    “MetaLDA: a Topic Model that Efficiently Incorpo- rates Meta information”,
    ICDM 2017, pages 635–644
  3. He Zhao, Lan Du and Wray Buntine,
    “Leveraging Node Attributes for Incomplete Relational Data”,
    ICML 2017, pages 4072– 4081
  4. Shervin Malmasi, Mark Dras, Mark Johnson, Lan Du and Magdalena Wolska,
    “Unsupervised Text Segmentation Based on Native Language Characteristics”,
    ACL 2017, pages 457–1469
  5. Huiwen Liu, Jiajie Xu, Kai Zheng, Chengfei Liu, Lan Du, Xian Wu,
    “Semantic-aware Query Pro- cessing for Activity Trajectories”,
    WSDM 2017, Pages 283-292

2016

  1. Jianping Gou, Lan Du, Keyang Cheng, Yingfeng Cai,
    “Discriminative sparsity preserving graph embedding”,
    IEEE Congress on Evolutionary Computation (CEC) 2016, Pages 4250-4257
  2. Kar Wai Lim, Wray Buntine, Changyou Chen and Lan Du,
    “Nonparametric Bayesian Topic Modelling with the Hierarchical Pitman-Yor Processes",
    International Journal of Approximate Reasoning (IJAR), Volume 78, page 172-191, 2016.
  3. Zahraa S Abdallah, Lan Du, Geoffrey I Webb
    “Data Preparation”
    Encyclopedia of Machine Learning and Data Mining, pages 1-11, 2016

2015

  1. Lan Du, Anish Kumar, Mark Johnson, and Massimiliano Ciaramita,
    “Using Entity Information from a Knowledge Base to Improve Relation Extraction”,
    Australasian Language Technology Association Workshop (ALTA) 2015, pages 31-38
  2. Zhendong Zhao, Lan Du, Benjamin Börschinger, John K Pate, Massimiliano Ciaramita, Mark Steedman and Mark Johnson
    "A Computationally Efficient Algorithm for Learning Topical Collocation Models"
    ACL 2015, page 1460--1469 (25% acceptance rate)
  3. Lan Du, John K Pate, and Mark Johnson
    "Topic Segmentation with An Ordering-Based Topic Model",
    AAAI 2015, page 2232–2238 (26.67% acceptance rate, out of 1991 submissions)
  4. Dat Quoc Nguyen, Richard Billingsley, Lan Du, and Mark Johnson,
    "Improving Topic Models with Latent Feature Word Representations",
    Transactions of the Association for Computational Linguistics (TACL), Volume 3, page 299-313, 2015
  5. Changyou Chen, Wray Buntine, Nan Ding, Lexing Xie, and Lan Du,
    "Differential Topic Models",
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (TPAMI),Volume 37, Issue 2, page 230-242, 2015.

2014

  1. Lan Du, John K Pate, and Mark Johnson,
    Topic Models with Topic Ordering Regularities for Topic Segmentation
    ICDM 2014, pages 803--808 (19% acceptance rate, out of 727 submissions)
  2. Jianping Gou, Yongzhao Zhan, Min Wan, Xiangjun Shen, Jinfu Chen, and Lan Du
    Maximum Neighborhood Margin Discriminant Projection for Classification
    The Scientific World Journal, 2014

2013

  1. Youliang Zhong, Lan Du, Jian Yang,
    "Learning Social Relationship Strength via Matrix Co-Factorization with Multiple Kernels",
    WISE 2013, pages 15--28
  2. Lan Du, Wray Buntine, Mark Johnson,
    "Topic Segmentation with a Structured Topic Model",
    NAACL 2013, pages 190--200 (30% acceptance rate)
  3. Huidong Jin, Lijiu Zhang and Lan Du,
    "Semantic Title Evaluation and Recommendation Based on Topic Models",
    PAKDD 2013, pages 402-413

2012

  1. Lan Du, Wray Buntine, Huidong Jin,
    "Modelling Sequential Text with an Adaptive Topic Model",
    EMNLP-CONLL 2012, pages 535-545 (24% acceptance rate, out of 570 submissions)
  2. Lan Du, Wray Buntine, Huidong Jin, Changyou Chen,
    "Sequential Latent Dirichlet Allocation",
    Knowledge and Inforamtion Systems (KAIS), Volume 31, Number 3, Pages 475-503, 2012.
  3. Jianping Gou, Zhang Yi, Lan Du, Taisong Xiong,
    "A Local Mean-Based k-Nearest Centroid Neighbor Classifier",
    The Computer Journal, Volume 55 Issue 9, Pages 1058-1071, 2012.
  4. Jianping Gou, Lan Du, Taisong Xiong,
    "Weighted K-Nearest Centroid Neighbor classification",
    Journal of Computational Information Systems 8: 2 (2012) 851-860
  5. Jianping Gou, Lan Du, Taisong Xiong,
    "A New distance-weighted k-nearest neighbor classifier",
    Journal of Information and Computational Science, 9: 6 (2012) 1429-1436
  6. Lan Du
    "Non-parametric Bayesian Methods for Structured Topic Models" Ph.D. thesis, 2012

2011

  1. Changyou Chen, Lan Du, Wray Buntine,
    "Sampling Table Configuration for the Hierarchical Poisson-Dirichlet Process",
    ECML-PKDD 2011, pages 296-311

2010

  1. Lan Du, Wray Buntine, Huidong Jin,
    "Sequential Latent Dirichlet Allocation: Discover Underlying Topic Structures within a Document",
    ICDM 2010, pages 148-157
  2. Wray Buntine, Lan Du, Petteri Nurmi,
    "Bayesian Networks on Dirichlet Distributed Vectors",
    Proceedings of the Fifth European Workshop on Probabilistic Graphical Models (PGM-2010), pages 33-40
  3. Lan Du, Wray Buntine, Huidong Jin,
    "A Segmented Topic Model based on the Two-parameter Poisson-Dirichlet Process",
    Machine Learning, Volume 81, Number 1, 5-19, 2010

2008

  1. Lan Du, Huidong Jin, Olivier Y. de Vel, Nianjun Liu,
    "A Latent Semantic Indexing and WordNet based Information Retrieval Model for Digital Forensics",
    IEEE International Conference on Intelligence and Security Informatics (ISI) 2008: 70-75
  2. Phan Thien Son, Lan Du, Huidong Jin, Olivier Y. de Vel, Nianjun Liu, Terry Caelli,
    "A Simple WordNet-Ontology Based Email Retrieval System for Digital Forensics",
    Pacific Asia Workshop on Cybercrime and Computer Forensics(ISI 2008 workshop): 217-228
  3. Junlei Song, Dianhong Wang, Nianjun Liu, Li Cheng, Lan Du, Ke Zhang,
    "Soil Moisture Prediction with Feature Selection Using a Neural Network",
    International Conference on Digital Image Computing: Techniques and Applications 2008: 130-136

2007

  1. Lan Du
    "Ontology-Driven Information Retrieval for Digital Forensics"
    Honours thesis, 2007