2026
- D Rajit, S McDonald, L Du, H Teede, J Enticott
Automated evidence surveillance with AI-enabled pre-ranking with cutoff in living guideline maintenance: a simulation study
Journal of Clinical Epidemiology, 112349, 2026 - J Gou, H Zhu, L Du, W Ou, W Chen, Z Yi
Inter-class Enhanced Feature Correlation for Adaptive Online Knowledge Distillation
IEEE Transactions on Big Data, 2026 - J Gou, H Zhu, R Huang, L Du, Q Tian, S Zeng
Online feature correlation knowledge distillation via adaptive ensemble teacher
Knowledge-Based Systems, 116263, 2026 - L Li, J Gou, B Yu, L Du, W Chen, Z Yi, D Tao
Adaptive Decoupled Knowledge Distillation via Self-learning
IEEE Transactions on Multimedia, 2026 - Q Gao, Y Wang, Y Zhang, Y Li, Y Deng, L Du, C Chen
TAMISeg: Text-Aligned Multi-scale Medical Image Segmentation with Semantic Encoder Distillation
IEEE International Conference on Multimedia and Expo (ICME), 2026
[PDF] - D Rajit, S McDonald, A Mousa, CT Tay, L Du, H Teede, J Enticott
Semi-Automated Screening in Living Guideline Maintenance: A Simulation Study of 90 Machine Learning Prioritised Screening System Configurations (Protocol)
Journal of Clinical Epidemiology, 112228, 2026 - D Zhou, J Lin, G Shen, Q Liu, J Gao, L Liu, L Du, C Chen, CW Fu, X Hu, ...
IdentityStory: Taming Your Identity-Preserving Generator for Human-Centric Story Generation
Proceedings of the AAAI Conference on Artificial Intelligence 40 (16), 13593 …, 2026
[PDF] - S Ludwig, PJ Danaher, X Yang, YT Lin, E Abedin, D Grewal, L Du
Extracting Consumer Insight from Text: A Large Language Model Approach to Emotion and Evaluation Measurement
arXiv preprint arXiv:2602.15312, 2026
[PDF] - Y Huang, Y Jin, K Tao, K Xia, J Gu, L Yu, H Li, L Du, C Chen
MTS-Net: dual-enhanced positional multi-head self-attention for 3D CT diagnosis of May-Thurner syndrome
Biomedical Signal Processing and Control 112, 108618, 2026 - L Zhang, D Nhu, Y Zhao, E Foster, L Millist, S Sivathamboo, P Kwan, Z Ge, ...
Interictal Epileptiform Discharge Detection Through Probabilistic Diffusion Models with Maximization of Precision Recall Metrics
International Journal of Neural Systems, 2026 - J Lu, Y Qi, X Yang, S Niu, F Ke, S Zhou, W Tan, J Lin, W Buntine, ...
DPL: Decoupled Prototype Learning for Enhancing Robustness of Vision-Language Transformers to Missing Modalities
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2026
[PDF] - Y Qi, X Yang, J Lu, G Guo, J Enticott, G Liu, L Du
Next Generation Active Learning: Mixture of LLMs in the Loop
Proceedings of the AAAI Conference on Artificial Intelligence 40 (29), 24909 …, 2026
[PDF]
2025
- SJ Qiao, HL Fan, N Han, L Du, YH Peng, RM Tang, X Qin
Learning database optimization techniques: the state-of-the-art and prospects
Frontiers of Computer Science 19 (12), 1912612, 2025
[PDF] - J Gou, Y Cheng, B Ma, L Du, X Luo, Z Yi
Multi-Scale Collaborative Distillation Graph Neural Networks for Session-Based Recommendation
IEEE Transactions on Services Computing, 2025 - Z Fang, Z Xu, L Du, S Du, Z Cai, S Wang
Enhancing Multi-view Open-set Learning via Ambiguity Uncertainty Calibration and View-wise Debiasing
Proceedings of the 33rd ACM International Conference on Multimedia, 1220-1228, 2025
[PDF] - W Tan, D Nguyen, C Li, W Buntine, H Zhao, L Du
Leveraging Deep AUC Maximisation for Enhanced Active Learning in Named Entity Recognition
International Conference on Advanced Data Mining and Applications, 287-302, 2025 - J Gou, X He, L Du, W Zhang, W Ou
Deep class-weighted and class-shared dictionary learning for image classification
Expert Systems with Applications, 130042, 2025 - R Gao, P Wang, J Gou, L Du, W Ou
Collaborative and Progressive Teacher-Assistant Knowledge Distillation
Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 431-444, 2025 - L Li, J Gou, W Ou, W Chen, L Du
Contrastive Learning‐Based Multi‐Level Knowledge Distillation
CAAI Transactions on Intelligence Technology 10 (5), 1478-1488, 2025 - C Wu, Y Qi, X Yang, J Lu, G Liu, W Buntine, L Du
ALScope: A Unified Toolkit for Deep Active Learning
arXiv preprint arXiv:2508.04937, 2025
[PDF] - D Rajit, S McDonald, CT Tay, L Du, J Enticott, H Teede
Assessing the coverage of PubMed, Embase, OpenAlex, and Semantic Scholar for automated single-database searches in living guideline evidence surveillance: a case study of the …
Journal of Clinical Epidemiology 183, 111789, 2025 - X Yang, H Zhao, W Xu, Y Qi, J Lu, D Phung, L Du
Neural topic modeling with large language models in the loop
Proceedings of the 63rd Annual Meeting of the Association for Computational …, 2025
[PDF] - J Lu, Y Qi, X Yang, S Zhou, L Du
Decoupled multimodal prototypes for visual recognition with missing modalities
arXiv e-prints, arXiv: 2505.08283, 2025
[PDF] - X Yang, H Zhao, D Phung, W Buntine, L Du
Llm reading tea leaves: Automatically evaluating topic models with large language models
Transactions of the Association for Computational Linguistics 13, 357-375, 2025
[PDF] - B Cheng, J Lu, Y Tian, H Zhao, Y Chang, L Du
CGMatch: A Different Perspective of Semi-supervised Learning
Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR …, 2025
[PDF] - Q Gao, Y Wang, F Zhou, J Wen, Y Li, B Fang, P Chen, L Du, C Chen
MSFM-UNET: enhancing medical image segmentation with multi-scale and multi-view frequency fusion
Pattern Analysis and Applications 28 (1), 17, 2025 - S Lang, JG Mcintosh, J Enticott, R Goldstein, S Baker, M McGowan, ...
Exploring the acceptability of a risk prediction tool for cardiometabolic risk (gestational diabetes and hypertensive disorders of pregnancy) for use in early pregnancy: A …
Midwifery 141, 104270, 2025 - Guohao Zong, Jun Gao, Yuanyuan Qi, Haifeng Zhao, Weihua Feng, Bin Hu, Ji Ma ...
A Spectrum-to-Structure Diffusion Model for De Novo Small Molecule Generation
Analytical Chemistry, 2025 - J Gao, H Zhao, G Zong, S Gao, Y Zhang, L Du
MoleNovo: A Casanovo-Based De Novo Molecular Generation Framework
Advanced Data Mining and Applications, 97--111, 2025 - Y Zou, Y Lu, N Li, X Zhu, L Du, M Yan, Y Ma
Target-adaptive Structure-Semantic Consistency for Unsupervised Graph Domain Adaptation
ECMLPKDD, 2025 - D Rajit, L Du, H Teede, J Enticott
Automated citation searching in systematic review production: A simulation study
Research Synthesis Methods, 1-17, 2025
[PDF] - Y Qi, J Lu, X Yang, J Enticott, L Du
Multi-Label Bayesian Active Learning with Inter-Label Relationships
The 41st Conference on Uncertainty in Artificial Intelligence (UAI), 2025
[PDF] - J Lu, W Buntine, Y Qi, J Dipnall, B Gabbe, L Du
Navigating Conflicting Views: Harnessing Trust for Learning
Forty-second International Conference on Machine Learning, 2025
[PDF]
2024
- J Lin, G Zhao, J Xu, G Wang, Z Wang, A Dantcheva, L Du, C Chen
DiffTV: Identity-preserved thermal-to-visible face translation via feature alignment and dual-stage conditions
Proceedings of the 32nd ACM International Conference on Multimedia, 10930-10938, 2024 - H Zhu, J Gou, L Du, W Ou
Inter-Class Correlation-Based Online Knowledge Distillation
Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 195-208, 2024 - Z Wang, J Lin, Y Qian, Y Huang, S Tian, B Chai, J Deng, Q Yang, L Du, ...
DiffX: Guide your layout to cross-modal generative modeling
arXiv preprint arXiv:2407.15488, 2024
[PDF] - J Xu, L Li, J Gou, L Du, Y Zhan
Augmented Knowledge Distillation via Contrastive Learning
International Conference on Computer Animation and Social Agents, 1-12, 2024 - J Gou, X Zhou, L Du, Y Zhan, W Chen, Z Yi
Difference-aware distillation for semantic segmentation
IEEE Transactions on Multimedia 26, 10069-10080, 2024 - MC Jung, H Zhao, J Dipnall, B Gabbe, L Du
Enhancing near ood detection in prompt learning: Maximum gains, minimal costs
arXiv preprint arXiv:2405.16091, 2024
[PDF] - L Li, J Gou, B Yu, L Du, ZYD Tao
Federated distillation: A survey
arXiv preprint arXiv:2404.08564, 2024
[PDF] - J Gou, Y Chen, B Yu, J Liu, L Du, S Wan, Z Yi
Reciprocal teacher-student learning via forward and feedback knowledge distillation
IEEE transactions on multimedia 26, 7901-7916, 2024 - Z Bao, Z Huang, J Gou, L Du, K Liu, J Zhou, Y Chen
Teacher–student complementary sample contrastive distillation
Neural Networks 170, 176-189, 2024 - F Ke, W Wang, W Tan, L Du, Y Jin, Y Huang, H Yin
HiTSKT: A hierarchical transformer model for session-aware knowledge tracing
Knowledge-Based Systems 284, 111300, 2024
[PDF] - W Tan, ND Nguyen, L Du, W Buntine
Harnessing the Power of Beta Scoring in Deep Active Learning for Multi-Label Text Classification
AAAI 2024, 2024
[PDF]
2023
- W Tan, L Du, W Buntine
Bayesian Estimate of Mean Proper Scores for Diversity-Enhanced Active Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
[PDF] - ND Nguyen, W Tan, L Du, W Buntine, R Beare, C Chen
Low-Resource Named Entity Recognition: Can One-vs-All AUC Maximization Help?
ICDM 2023, 2023 - MC Jung, H Zhao, J Dipnall, L Du
Beyond Unimodal: Generalising Neural Processes for Multimodal Uncertainty Estimation
Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023
[PDF] - H Luo, W Tan, ND Nguyen, L Du
Re-weighting Tokens: A Simple and Effective Active Learning Strategy for Named Entity Recognition
EMNLP 2023, 2023
[PDF] - Y Belsti, L Moran, L Du, A Mousa, K De Silva, J Enticott, H Teede
Comparison of machine learning and conventional logistic regression-based prediction models for gestational diabetes in an ethnically diverse population; the Monash GDM Machine …
International Journal of Medical Informatics 179, 105228, 2023 - CX Gao, D Dwyer, Y Zhu, CL Smith, L Du, KM Filia, J Bayer, JM Menssink, ...
An overview of clustering methods with guidelines for application in mental health research
Psychiatry research 327, 115265, 2023
[PDF] - J Lin, W Tan, L Du, W Buntine, D Lang, D Gašević, G Chen
Enhancing educational dialogue act classification with discourse context and sample informativeness
IEEE Transactions on Learning Technologies 17, 258-269, 2023 - D Rajit, L Du, H Teede, E Callander, J Enticott
Automated Citation Searching in Systematic Review Production: A Simulation Study Protocol and Framework
[PDF] - X Yang, H Zhao, D Phung, L Du
Towards generalising neural topical representations
arXiv preprint arXiv:2307.12564, 2023
[PDF] - J Gou, X Xiong, B Yu, L Du, Y Zhan, D Tao
Multi-target knowledge distillation via student self-reflection
International Journal of Computer Vision 131 (7), 1857-1874, 2023
[PDF] - J Lin, W Tan, ND Nguyen, D Lang, L Du, W Buntine, R Beare, G Chen, ...
Robust educational dialogue act classifiers with low-resource and imbalanced datasets
International Conference on Artificial Intelligence in Education, 114-125, 2023 - W Tan, J Lin, D Lang, G Chen, D Gašević, L Du, W Buntine
Does informativeness matter? Active learning for educational dialogue act classification
International Conference on Artificial Intelligence in Education, 176-188, 2023 - J Gou, W Ou, S Zeng, L Du
Advancement of Mathematical Methods in Feature Representation Learning for Artificial Intelligence, Data Mining and Robotics
MDPI-Multidisciplinary Digital Publishing Institute, 2023 - J Gou, N Xie, Y Yuan, L Du, W Ou, Z Yi
Reconstructed Graph Constrained Auto-Encoders for Multi-View Representation Learning
IEEE Transactions on Multimedia, 2023 - J Gou, X He, L Du, B Yu, W Chen, Z Yi
Hierarchical locality-aware deep dictionary learning for classification
IEEE Transactions on Multimedia 26, 447-461, 2023 - W Ou, J Gou, S Zeng, L Du
Preface to the Special Issue “Advancement of Mathematical Methods in Feature Representation Learning for Artificial Intelligence, Data Mining and Robotics”—Special Issue Book
Mathematics 11 (4), 940, 2023
[PDF] - ND Nguyen, W Tan, W Buntine, R Beare, C Chen, L Du
AUC Maximization for Low-Resource Named Entity Recognition
AAAI 2023, 2023
[PDF] - J Gou, X Yuan, Y Xue, L Du, J Yu, S Xia, Y Zhang
Discriminative and geometry-preserving adaptive graph embedding for dimensionality reduction
Neural Networks 157, 364-376, 2023 - S Ho, M Liu, L Du, L Gao, Y Xiang
Prototypes-Guided Memory Replay for Continual Learning
IEEE Transactions on Neural Networks and Learning Systems, 2023
2022
- M Coleman, JF Dipnall, MC Jung, L Du
PreRadE: pretraining tasks on radiology images and reports evaluation framework
Mathematics 10 (24), 4661, 2022 - N Dang Nguyen, W Tan, W Buntine, R Beare, C Chen, L Du
AUC Maximization for Low-Resource Named Entity Recognition
arXiv e-prints, arXiv: 2212.04800, 2022
[PDF] - ND Nguyen, L Du, W Buntine, C Chen, R Beare
Hardness-guided domain adaptation to recognise biomedical named entities under low-resource scenarios
EMNLP 2022, 2022
[PDF] - E Yu, L Du, Y Jin, Z Wei, Y Chang
Learning Semantic Textual Similarity via Topic-informed Discrete Latent Variables
EMNLP 2022, 2022
[PDF] - J Gou, L Sun, B Yu, L Du, K Ramamohanarao, D Tao
Collaborative knowledge distillation via multiknowledge transfer
IEEE Transactions on Neural Networks and Learning Systems, 2022 - S Ho, M Liu, L Du, Y Li, L Gao, S Gao
Semi-supervised Continual Learning with Meta Self-training
CIKM, 4024-4028, 2022 - JF Dipnall, J Lu, BJ Gabbe, F Cosic, E Edwards, R Page, L Du
Comparison of state-of-the-art machine and deep learning algorithms to classify proximal humeral fractures using radiology text
European journal of radiology 153, 110366, 2022 - CX Gao, D Dwyer, Y Zhu, CL Smith, L Du, KM Filia, JMM Bayer, ...
Evaluating individual heterogeneity in mental health research: an overview of clustering methods and guidelines for applications
OSF, 2022 - J Gou, X Yuan, L Du, S Xia, Z Yi
Hierarchical graph augmented deep collaborative dictionary learning for classification
IEEE Transactions on Intelligent Transportation Systems 23 (12), 25308-25322, 2022 - J Gou, L Sun, L Du, H Ma, T Xiong, W Ou, Y Zhan
A representation coefficient-based k-nearest centroid neighbor classifier
Expert Systems with Applications 194, 116529, 2022 - J Chen, L Du, M Liu, X Zhou
Mulan: A multiple residual article-wise attention network for legal judgment prediction
Transactions on Asian and Low-Resource Language Information Processing 21 (4 …, 2022 - W Buntine, C Chen, R Beare, L Du
Hardness-guided domain adaptation to recognize biomedical named entities under low-resource scenarios
- ND Nguyen, W Tan, L Du, W Buntine
One-Vs-All AUC Maximization: an effective solution to the low-resource named entity recognition problem
- MC Jung, H Zhao, J Dipnall, B Gabbe, L Du
Uncertainty Estimation for Multi-view Data: The Power of Seeing the Whole Picture
Advances in Neural Information Processing Systems, 2022
[PDF]
2021
- J Gou, X Xiong, H Wu, L Du, S Zeng, Y Yuan, W Ou
Locality‑constrained weighted collaborative‑competitive representation for classifcation
International Journal of Machine Learning and Cybernetics, 2021 - Y Li, L Sun, J Gou, L Du, W Ou
Feature fusion-based collaborative learning for knowledge distillation
International Journal of Distributed Sensor Networks 17 (11), 15501477211057037, 2021
[PDF] - W Tan, L Du, W Buntine
Diversity Enhanced Active Learning with Strictly Proper Scoring Rules
Advances in Neural Information Processing Systems 34, 2021
[PDF] - F Saleh, W Buntine, G Haffari, L Du
Multilingual Neural Machine Translation: Can Linguistic Hierarchies Help?
In Findings of the Association for Computational Linguistics: EMNLP 2021 …, 2021 - K Lo, Y Jin, W Tan, M Liu, L Du, W Buntine
Transformer over Pre-trained Transformer for Neural Text Segmentation with Enhanced Topic Coherence
In Findings of the Association for Computational Linguistics: EMNLP 2021 …, 2021
[PDF] - Y Jin, H Zhao, M Liu, L Du, W Buntine
Neural Attention-Aware Hierarchical Topic Model
In Proceedings of the 2021 Conference on Empirical Methods in Natural …, 2021
[PDF] - J Ju, M Liu, HY Koh, Y Jin, L Du, S Pan
Leveraging Information Bottleneck for Scientific Document Summarization
In Findings of the Association for Computational Linguistics: EMNLP 2021 …, 2021
[PDF] - JF Dipnall, R Page, L Du, M Costa, RA Lyons, P Cameron, R de Steiger, ...
Predicting fracture outcomes from clinical registry data using artificial intelligence supplemented models for evidence-informed treatment (PRAISE) study protocol
PLoS One 16 (9), e0257361, 2021 - M Merrillees, L Du
Stratified Sampling for Extreme Multi-Label Data
PAKDD 2021, 2021 - H Zhao, D Phung, V Huynh, Y Jin, L Du, W Buntine
Topic Modelling Meets Deep Neural Networks: A Survey
IJCAI 2021, 2021
[PDF] - L Sun, J Gou, B Yu, L Du, D Tao
Collaborative teacher-student learning via multiple knowledge transfer
arXiv preprint arXiv:2101.08471, 2021
[PDF] - M Wu, S Pan, L Du, X Zhu
Learning Graph Neural Networks with Positive and Unlabeled Nodes
ACM Transactions on Knowledge Discovery from Data (TKDD), 15(6), 15, 1-25, 2021
[PDF] - J Gou, J Song, L Du, S Zeng, Y Zhan, Z Yi
Class mean‐weighted discriminative collaborative representation for classification
International Journal of Intelligent Systems, 2021 - Y Jin, M Liu, Y Li, R Xu, L Du, L Gao, Y Xiang
Variational auto-encoder based Bayesian Poisson tensor factorization for sparse and imbalanced count data
Data Mining and Knowledge Discovery 35, 505–532, 2021
[PDF]
2020
- J Zhao, M Liu, L Gao, Y Jin, L Du, H Zhao, H Zhang, G Haffari
SummPip: Unsupervised Multi-Document Summarization with Sentence Graph Compression
In Proceedings of the 43rd International ACM SIGIR Conference on Research …, 2020 - J Gou, Y Yang, Y Liu, Y Yuan, L Du, H Yang
Collaborative representation‐based locality preserving projections for image classification
The Journal of Engineering 2020 (13), 310-315, 2020
[PDF] - H Zhao, P Rai, L Du, W Buntine, D Phung, M Zhou
Variational autoencoders for sparse and overdispersed discrete data
International conference on artificial intelligence and statistics, 1684-1694, 2020
[PDF] - J Gou, H Wu, H Song, L Du, W Ou, S Zeng, J Ke
Double competitive constraints-based collaborative representation for pattern classification
Computers & Electrical Engineering 84, 106632, 2020 - Y Jin, H Zhao, M Liu, Y Zhu, L Du, L Gao, H Zhang, Y Li
Leveraging Cross Feedback of User and Item Embeddings with Attention for Variational Autoencoder based Collaborative Filtering
arXiv preprint arXiv:2002.09145, 2020
[PDF] - J Lu, L Du, M Liu, J Dipnall
Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
2019
- M Wu, S Pan, L Du, I Tsang, X Zhu, B Du
Long-short distance aggregation networks for positive unlabeled graph learning
Proceedings of the 28th ACM international conference on information and …, 2019
[PDF] - H Zhao, L Du, W Buntine, G Liu
Leveraging external information in topic modelling
Knowledge and Information Systems 61 (2), 661-693, 2019 - J Gou, J Song, W Ou, S Zeng, Y Yuan, L Du
Representation-based classification methods with enhanced linear reconstruction measures for face recognition
Computers & Electrical Engineering 79, 106451, 2019 - H Zhao, L Du, G Liu, W Buntine
Leveraging meta information in short text aggregation
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
[PDF] - H Zhao, P Rai, L Du, W Buntine, D Phung, M Zhou
Deep Generative Models of Sparse and Overdispersed Discrete Data
4th workshop on Bayesian Deep Learning (NeurIPS 2019),, 2019
2018
- J Gou, Z Yi, D Zhang, Y Zhan, X Shen, L Du
Sparsity and geometry preserving graph embedding for dimensionality reduction
IEEE Access 6, 75748-75766, 2018 - H Zhao, L Du, W Buntine, M Zhou
Dirichlet belief networks for topic structure learning
NeurIPS 2018, 2018 - H Zhao, L Du, W Buntine, M Zhou
Inter and Intra Topic Structure Learning with Word Embeddings
ICML 2018: International Conference on Machine Learning, 5887-5896, 2018 - J Gou, Y Xu, D Zhang, Q Mao, L Du, Y Zhan
Two-phase linear reconstruction measure-based classification for face recognition
Information Sciences 433, 17-36, 2018 - H Zhao, L Du, W Buntine, M Zhou
Supplementary material for" Inter and Intra topic structure learning with word embeddings"
International Conference on Machine Learning 2018, 9398-9404, 2018 - Y Jin, L Du, Y Zhu, M Carman
Leveraging Label Category Relationships in Multi-class Crowdsourcing
PAKDD 2018: Pacific-Asia Conference on Knowledge Discovery and Data Mining …, 2018 - H Zhao, P Rai, L Du, W Buntine
Bayesian Multi-label Learning with Sparse Features and Labels, and Label Co-occurrences
AISTATS, 1943-1951, 2018
2017
- H Zhao, L Du, W Buntine
A Word Embeddings Informed Focused Topic Model
ACML: Asian Conference on Machine Learning, 423-438, 2017 - H Liu, J Xu, K Zheng, C Liu, L Du, X Wu
Semantic-aware query processing for activity trajectories
WSDM 2017: Proceedings of the Tenth ACM International Conference on Web …, 2017 - ZS Abdallah, L Du, GI Webb
Data Preparation.
Encyclopedia of machine learning and data mining, 318-327, 2017 - H Zhao, L Du, W Buntine, G Liu
MetaLDA: a Topic Model that Efficiently Incorporates Meta information
ICDM: 2017 IEEE International Conference on Data Mining, 635-644, 2017 - S Malmasi, M Dras, M Johnson, L Du, M Wolska
Unsupervised Text Segmentation Based on Native Language Characteristics
ACL 2017: Proceedings of the 55th Annual Meeting of the Association for …, 2017 - H Zhao, L Du, W Buntine
Leveraging Node Attributes for Incomplete Relational Data
ICML 2017: Proceedings of the 34th International Conference on Machine …, 2017
2016
- KW Lim, W Buntine, C Chen, L Du
Nonparametric Bayesian topic modelling with the hierarchical Pitman–Yor processes
International Journal of Approximate Reasoning 78, 172-191, 2016 - J Gou, L Du, K Cheng, Y Cai
Discriminative sparsity preserving graph embedding
2016 IEEE Congress on Evolutionary Computation (CEC), 4250-4257, 2016
2015
- DQ Nguyen, R Billingsley, L Du, M Johnson
Improving topic models with latent feature word representations
Transactions of the Association for Computational Linguistics 3, 299-313, 2015
[PDF] - L Du, J Pate, M Johnson
Topic segmentation with an ordering-based topic model
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
[PDF] - L Du, A Kumar, M Johnson, M Ciaramita
Using Entity Information from a Knowledge Base to Improve Relation Extraction
Australasian Language Technology Association Workshop 2015, 31, 2015 - Z Zhao, L Du, B Börschinger, JK Pate, M Ciaramita, M Steedman, ...
A Computationally Efficient Algorithm for Learning Topical Collocation Models
ACL, 1460-1469, 2015 - C Chen, W Buntine, N Ding, L Xie, L Du
Supplement for Differential Topic Modeling
- C Chen, W Buntine, N Ding, L Xie, L Du
Differential topic models
IEEE transactions on pattern analysis and machine intelligence 37 (2), 230-242, 2015
2014
- L Du, JK Pate, M Johnson
Topic models with topic ordering regularities for topic segmentation
2014 IEEE International Conference on Data Mining, 803-808, 2014 - J Gou, Y Zhan, M Wan, X Shen, J Chen, L Du
Maximum neighborhood margin discriminant projection for classification
The Scientific World Journal 2014 (1), 186749, 2014
2013
- Y Zhong, L Du, J Yang
Learning social relationship strength via matrix co-factorization with multiple kernels
International conference on web information systems engineering, 15-28, 2013 - L Du, W Buntine, M Johnson
Topic segmentation with a structured topic model
Proceedings of the 2013 conference of the North American chapter of the …, 2013 - H Jin, L Zhang, L Du
Semantic title evaluation and recommendation based on topic models
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 402-413, 2013
2012
- J Gou, Z Yi, L Du, T Xiong
A local mean-based k-nearest centroid neighbor classifier
The Computer Journal 55 (9), 1058-1071, 2012 - L Du, W Buntine, H Jin
Modelling sequential text with an adaptive topic model
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural …, 2012 - L Du, W Buntine, H Jin, C Chen
Sequential latent Dirichlet allocation
Knowledge and information systems 31, 475-503, 2012 - J Gou, L Du, Y Zhang, T Xiong
A New distance-weighted k-nearest neighbor classifier
Journal of Information & Computational Science 9 (6), 1429–1436, 2012 - J Gou, L Du, T Xiong
Weighted K-Nearest Centroid Neighbor classification
Journal of Computational Information Systems 8 (2), 851–860, 2012
2011
- C Chen, L Du, W Buntine
Sampling table configurations for the hierarchical Poisson-Dirichlet process
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2011 - L Du
Non-parametric Bayesian methods for structured topic models
Australian National University, 2011
2010
- L Du, W Buntine, H Jin
A segmented topic model based on the two-parameter Poisson-Dirichlet process
Machine learning 81 (1), 5-19, 2010 - L Du, WL Buntine, P Nurmi
Bayesian Networks on Dirichlet Distributed Vectors
European Workshop on Probabilistic Graphical Models (PGM), 2010 - W Buntine, L Du, P Nurmi
Bayesian networks on Dirichlet distributed vectors
HIIT Publications, 2010 - L Du, W Buntine, H Jin, C Chen
Sequential Latent Dirichlet Allocation: Discover Underlying Topic Structures within a Document
ICDM 2010, 2010
2008
- J Song, D Wang, N Liu, L Cheng, L Du, K Zhang
Soil moisture prediction with feature selection using a neural network
2008 Digital Image Computing: Techniques and Applications, 130-136, 2008 - PT Son, L Du, H Jin, O De Vel, N Liu, T Caelli
A simple WordNet-ontology based email retrieval system for digital forensics
International Conference on Intelligence and Security Informatics, 217-228, 2008 - L Du, H Jin, O De Vel, N Liu
A latent semantic indexing and WordNet based information retrieval model for digital forensics
2008 IEEE International Conference on Intelligence and Security Informatics …, 2008