Soil Moisture Prediction with Feature Selection Using a Neural Network. - Junlei Song; Dianhong Wang; Nianjun Liu; Li Cheng 001; Lan Du 002; Ke Zhang (DICTA, 2008)

A latent semantic indexing and WordNet based information retrieval model for digital forensics. - Lan Du 002; Huidong Jin 001; Olivier Y. de Vel; Nianjun Liu (ISI, 2008)

A Simple WordNet-Ontology Based Email Retrieval System for Digital Forensics. - Phan Thien Son; Lan Du 002; Huidong Jin 001; Olivier Y. de Vel; Nianjun Liu; Terry Caelli (ISI Workshops, 2008)

Sequential Latent Dirichlet Allocation: Discover Underlying Topic Structures within a Document. - Lan Du 002; Wray Lindsay Buntine; Huidong Jin 001 (ICDM, 2010)

A segmented topic model based on the two-parameter Poisson-Dirichlet process. - Lan Du 002; Wray L. Buntine; Huidong Jin 001 (Mach. Learn., 2010)

Sampling Table Configurations for the Hierarchical Poisson-Dirichlet Process. - Changyou Chen; Lan Du 002; Wray L. Buntine (ECML/PKDD (1), 2011)

Modelling Sequential Text with an Adaptive Topic Model. - Lan Du 002; Wray L. Buntine; Huidong Jin 001 (EMNLP-CoNLL, 2012)

A Local Mean-Based k-Nearest Centroid Neighbor Classifier. - Jianping Gou; Zhang Yi 001; Lan Du 002; Taisong Xiong (Comput. J., 2012)

Sequential latent Dirichlet allocation. - Lan Du 002; Wray L. Buntine; Huidong Jin 001; Changyou Chen (Knowl. Inf. Syst., 2012)

Topic Segmentation with a Structured Topic Model. - Lan Du 002; Wray L. Buntine; Mark Johnson 001 (HLT-NAACL, 2013)

Semantic Title Evaluation and Recommendation Based on Topic Models. - Huidong Jin 001; Lijiu Zhang; Lan Du 002 (PAKDD (2), 2013)

Learning Social Relationship Strength via Matrix Co-Factorization with Multiple Kernels. - Youliang Zhong; Lan Du 002; Jian Yang 001 (WISE (1), 2013)

Topic Models with Topic Ordering Regularities for Topic Segmentation. - Lan Du 002; John K. Pate; Mark Johnson 001 (ICDM, 2014)

Topic Segmentation with an Ordering-Based Topic Model. - Lan Du 002; John K. Pate; Mark Johnson 001 (AAAI, 2015)

Using Entity Information from a Knowledge Base to Improve Relation Extraction. - Lan Du 002; Anish Kumar; Mark Johnson 001; Massimiliano Ciaramita (ALTA, 2015)

A Computationally Efficient Algorithm for Learning Topical Collocation Models. - Zhendong Zhao; Lan Du 002; Benjamin Börschinger; John K. Pate; Massimiliano Ciaramita; Mark Steedman; Mark Johnson 001 (ACL (1), 2015)

Differential Topic Models. - Changyou Chen; Wray L. Buntine; Nan Ding 002; Lexing Xie; Lan Du 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Improving Topic Models with Latent Feature Word Representations. - Dat Quoc Nguyen; Richard Billingsley; Lan Du 002; Mark Johnson 001 (Trans. Assoc. Comput. Linguistics, 2015)

Discriminative sparsity preserving graph embedding. - Jianping Gou; Lan Du 002; Keyang Cheng; Yingfeng Cai (CEC, 2016)

Nonparametric Bayesian topic modelling with the hierarchical Pitman-Yor processes. - Kar Wai Lim; Wray L. Buntine; Changyou Chen; Lan Du 002 (Int. J. Approx. Reason., 2016)

Unsupervised Text Segmentation Based on Native Language Characteristics. - Shervin Malmasi; Mark Dras; Mark Johnson 001; Lan Du 002; Magdalena Wolska (ACL (1), 2017)

A Word Embeddings Informed Focused Topic Model. - He Zhao 001; Lan Du 002; Wray L. Buntine (ACML, 2017)

MetaLDA: A Topic Model that Efficiently Incorporates Meta Information. - He Zhao 001; Lan Du 002; Wray L. Buntine; Gang Liu 021 (ICDM, 2017)

Leveraging Node Attributes for Incomplete Relational Data. - He Zhao 001; Lan Du 002; Wray L. Buntine (ICML, 2017)

Semantic-aware Query Processing for Activity Trajectories. - Huiwen Liu; Jiajie Xu 001; Kai Zheng 001; Chengfei Liu; Lan Du 002; Xian Wu (WSDM, 2017)

Data Preparation. - Zahraa Said Abdallah; Lan Du 002; Geoffrey I. Webb (Encyclopedia of Machine Learning and Data Mining, 2017)

Bayesian Multi-label Learning with Sparse Features and Labels, and Label Co-occurrences. - He Zhao 001; Piyush Rai; Lan Du 002; Wray L. Buntine (AISTATS, 2018)

Inter and Intra Topic Structure Learning with Word Embeddings. - He Zhao 001; Lan Du 002; Wray L. Buntine; Mingyuan Zhou (ICML, 2018)

Dirichlet belief networks for topic structure learning. - He Zhao 001; Lan Du 002; Wray L. Buntine; Mingyuan Zhou (NeurIPS, 2018)

Leveraging Label Category Relationships in Multi-class Crowdsourcing. - Yuan Jin; Lan Du 002; Ye Zhu 002; Mark J. Carman (PAKDD (2), 2018)

Sparsity and Geometry Preserving Graph Embedding for Dimensionality Reduction. - Jianping Gou; Zhang Yi 001; David Zhang 001; Yongzhao Zhan 001; Xiangjun Shen; Lan Du 002 (IEEE Access, 2018)

Two-phase linear reconstruction measure-based classification for face recognition. - Jianping Gou; Yong Xu 001; David Zhang 001; Qirong Mao; Lan Du 002; Yongzhao Zhan 001 (Inf. Sci., 2018)

Leveraging Meta Information in Short Text Aggregation. - He Zhao 001; Lan Du 002; Guanfeng Liu 001; Wray L. Buntine (ACL (1), 2019)

Long-short Distance Aggregation Networks for Positive Unlabeled Graph Learning. - Man Wu; Shirui Pan; Lan Du 002; Ivor W. Tsang; Xingquan Zhu 001; Bo Du 001 (CIKM, 2019)

Representation-based classification methods with enhanced linear reconstruction measures for face recognition. - Jianping Gou; Jun Song; Weihua Ou; Shaoning Zeng; Yun-Hao Yuan 001; Lan Du 002 (Comput. Electr. Eng., 2019)

Variational Autoencoders for Sparse and Overdispersed Discrete Data. - He Zhao 001; Piyush Rai; Lan Du 002; Wray L. Buntine; Mingyuan Zhou (CoRR, 2019)

Variational Auto-encoder Based Bayesian Poisson Tensor Factorization for Sparse and Imbalanced Count Data. - Yuan Jin; Lan Du 002; Longxiang Gao; Yong Xiang 001; Yunfeng Li; Ruohua Xu (CoRR, 2019)

Leveraging external information in topic modelling. - He Zhao 001; Lan Du 002; Wray L. Buntine; Gang Liu 021 (Knowl. Inf. Syst., 2019)

Variational Autoencoders for Sparse and Overdispersed Discrete Data. - He Zhao 001; Piyush Rai; Lan Du 002; Wray L. Buntine; Dinh Phung 001; Mingyuan Zhou (AISTATS, 2020)

Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs. - Jueqing Lu; Lan Du 002; Ming Liu 028; Joanna Dipnall (EMNLP (1), 2020)

SummPip: Unsupervised Multi-Document Summarization with Sentence Graph Compression. - Jinming Zhao; Ming Liu 028; Longxiang Gao; Yuan Jin; Lan Du 002; He Zhao 001; He Zhang 012; Gholamreza Haffari (SIGIR, 2020)

Double Competitive Constraints-Based Collaborative Representation for Pattern Classification. - Jianping Gou; Hongwei Wu; Heping Song; Lan Du 002; Weihua Ou; Shaoning Zeng; Jia Ke (Comput. Electr. Eng., 2020)

Leveraging Cross Feedback of User and Item Embeddings for Variational Autoencoder based Collaborative Filtering. - Yuan Jin; He Zhao 001; Ming Liu 028; Lan Du 002; Yunfeng Li; Ruohua Xu; Longxiang Gao (CoRR, 2020)

Neural Attention-Aware Hierarchical Topic Model. - Yuan Jin; He Zhao 001; Ming Liu 028; Lan Du 002; Wray L. Buntine (EMNLP (1), 2021)

Leveraging Information Bottleneck for Scientific Document Summarization. - Jiaxin Ju; Ming Liu 028; Huan Yee Koh; Yuan Jin; Lan Du 002; Shirui Pan (EMNLP (Findings), 2021)

Transformer over Pre-trained Transformer for Neural Text Segmentation with Enhanced Topic Coherence. - Kelvin Lo; Yuan Jin; Weicong Tan; Ming Liu 028; Lan Du 002; Wray L. Buntine (EMNLP (Findings), 2021)

Multilingual Neural Machine Translation: Can Linguistic Hierarchies Help? - Fahimeh Saleh; Wray L. Buntine; Gholamreza Haffari; Lan Du 002 (EMNLP (Findings), 2021)

Topic Modelling Meets Deep Neural Networks: A Survey. - He Zhao 001; Dinh Q. Phung; Viet Huynh; Yuan Jin; Lan Du 002; Wray L. Buntine (IJCAI, 2021)

Diversity Enhanced Active Learning with Strictly Proper Scoring Rules. - Wei Tan; Lan Du 002; Wray L. Buntine (NeurIPS, 2021)

Stratified Sampling for Extreme Multi-label Data. - Maximillian Merrillees; Lan Du 002 (PAKDD (2), 2021)

Collaborative Teacher-Student Learning via Multiple Knowledge Transfer. - Liyuan Sun; Jianping Gou; Baosheng Yu; Lan Du 002; Dacheng Tao (CoRR, 2021)

Prototypes-Guided Memory Replay for Continual Learning. - Stella Ho; Ming Liu 028; Lan Du 002; Longxiang Gao; Yong Xiang 001 (CoRR, 2021)

Variational auto-encoder based Bayesian Poisson tensor factorization for sparse and imbalanced count data. - Yuan Jin; Ming Liu 028; Yunfeng Li; Ruohua Xu; Lan Du 002; Longxiang Gao; Yong Xiang 001 (Data Min. Knowl. Discov., 2021)

Feature fusion-based collaborative learning for knowledge distillation. - Yiting Li; Liyuan Sun; Jianping Gou; Lan Du 002; Weihua Ou (Int. J. Distributed Sens. Networks, 2021)

Class mean-weighted discriminative collaborative representation for classification. - Jianping Gou; Jun Song; Lan Du 002; Shaoning Zeng; Yongzhao Zhan 001; Zhang Yi 001 (Int. J. Intell. Syst., 2021)

Learning Graph Neural Networks with Positive and Unlabeled Nodes. - Man Wu; Shirui Pan; Lan Du 002; Xingquan Zhu 001 (ACM Trans. Knowl. Discov. Data, 2021)

Semi-supervised Continual Learning with Meta Self-training. - Stella Ho; Ming Liu 028; Lan Du 002; Yunfeng Li; Longxiang Gao; Shang Gao 003 (CIKM, 2022)

Hardness-guided domain adaptation to recognise biomedical named entities under low-resource scenarios. - Ngoc Dang Nguyen; Lan Du 002; Wray L. Buntine; Changyou Chen; Richard Beare (EMNLP, 2022)

Learning Semantic Textual Similarity via Topic-informed Discrete Latent Variables. - Erxin Yu; Lan Du 002; Yuan Jin; Zhepei Wei; Yi Chang 001 (EMNLP, 2022)

Uncertainty Estimation for Multi-view Data: The Power of Seeing the Whole Picture. - Myong Chol Jung; He Zhao 001; Joanna Dipnall; Belinda Gabbe; Lan Du 002 (NeurIPS, 2022)

A representation coefficient-based k-nearest centroid neighbor classifier. - Jianping Gou; Liyuan Sun; Lan Du 002; Hongxing Ma; Taisong Xiong; Weihua Ou; Yongzhao Zhan 001 (Expert Syst. Appl., 2022)

Mulan: A Multiple Residual Article-Wise Attention Network for Legal Judgment Prediction. - Junyi Chen; Lan Du 002; Ming Liu 028; Xiabing Zhou (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2022)

Hierarchical Graph Augmented Deep Collaborative Dictionary Learning for Classification. - Jianping Gou; Xia Yuan; Lan Du 002; Shuyin Xia; Zhang Yi 001 (IEEE Trans. Intell. Transp. Syst., 2022)

AUC Maximization for Low-Resource Named Entity Recognition. - Ngoc Dang Nguyen; Wei Tan; Lan Du 002; Wray L. Buntine; Richard Beare; Changyou Chen (AAAI, 2023)

Robust Educational Dialogue Act Classifiers with Low-Resource and Imbalanced Datasets. - Jionghao Lin; Wei Tan; Ngoc Dang Nguyen; David Lang; Lan Du 002; Wray L. Buntine; Richard Beare; Guanliang Chen; Dragan Gasevic (AIED, 2023)

Does Informativeness Matter? Active Learning for Educational Dialogue Act Classification. - Wei Tan; Jionghao Lin; David Lang; Guanliang Chen; Dragan Gasevic; Lan Du 002; Wray L. Buntine (AIED, 2023)

Re-weighting Tokens: A Simple and Effective Active Learning Strategy for Named Entity Recognition. - Haocheng Luo; Wei Tan; Ngoc Dang Nguyen; Lan Du 002 (EMNLP (Findings), 2023)

Low-Resource Named Entity Recognition: Can One-vs-All AUC Maximization Help? - Ngoc Dang Nguyen; Wei Tan; Lan Du 002; Wray L. Buntine; Richard Beare; Changyou Chen (ICDM, 2023)

Beyond Unimodal: Generalising Neural Processes for Multimodal Uncertainty Estimation. - Myong Chol Jung; He Zhao 001; Joanna Dipnall; Lan Du 002 (NeurIPS, 2023)

Multimodal Neural Processes for Uncertainty Estimation. - Myong Chol Jung; He Zhao 001; Joanna Dipnall; Belinda Gabbe; Lan Du 002 (CoRR, 2023)

Towards Generalising Neural Topical Representations. - Xiaohao Yang; He Zhao 001; Dinh Phung 001; Lan Du 002 (CoRR, 2023)

Discriminative and Geometry-Preserving Adaptive Graph Embedding for dimensionality reduction. - Jianping Gou; Xia Yuan; Ya Xue; Lan Du 002; Jiali Yu; Shuyin Xia; Zhang Yi 001 (Neural Networks, 2023)

Locality-constrained weighted collaborative-competitive representation for classification. - Jianping Gou; Xiangshuo Xiong; Hongwei Wu; Lan Du 002; Shaoning Zeng; Yunhao Yuan 001; Weihua Ou (Int. J. Mach. Learn. Cybern., 2023)

Multi-target Knowledge Distillation via Student Self-reflection. - Jianping Gou; Xiangshuo Xiong; Baosheng Yu; Lan Du 002; Yibing Zhan; Dacheng Tao (Int. J. Comput. Vis., 2023)

Comparison of machine learning and conventional logistic regression-based prediction models for gestational diabetes in an ethnically diverse population; the Monash GDM Machine learning model. - Yitayeh Belsti; Lisa Moran; Lan Du 002; Aya Mousa; Kushan De Silva; Joanne Enticott; Helena Teede (Int. J. Medical Informatics, 2023)

Harnessing the Power of Beta Scoring in Deep Active Learning for Multi-Label Text Classification. - Wei Tan; Ngoc Dang Nguyen; Lan Du 002; Wray L. Buntine (AAAI, 2024)

DiffTV: Identity-Preserved Thermal-to-Visible Face Translation via Feature Alignment and Dual-Stage Conditions. - Jingyu Lin; Guiqin Zhao; Jing Xu; Guoli Wang 004; Zejin Wang; Antitza Dantcheva; Lan Du 002; Cunjian Chen (ACM Multimedia, 2024)

Inter-Class Correlation-Based Online Knowledge Distillation. - Hongfang Zhu; Jianping Gou; Lan Du 002; Weihua Ou (PRCV (1), 2024)

Federated Distillation: A Survey. - Lin Li; Jianping Gou; Baosheng Yu; Lan Du 002; Zhang Yi 001; Dacheng Tao (CoRR, 2024)

Enhancing Near OOD Detection in Prompt Learning: Maximum Gains, Minimal Costs. - Myong Chol Jung; He Zhao 001; Joanna Dipnall; Belinda Gabbe; Lan Du 002 (CoRR, 2024)

Navigating Conflicting Views: Harnessing Trust for Learning. - Jueqing Lu; Lan Du 002; Wray L. Buntine; Myong Chol Jung; Joanna Dipnall; Belinda Gabbe (CoRR, 2024)

MTS-Net: Dual-Enhanced Positional Multi-Head Self-Attention for 3D CT Diagnosis of May-Thurner Syndrome. - Yixin Huang; Yiqi Jin; Ke Tao; Kaijian Xia; Jianfeng Gu; Lei Yu; Lan Du 002; Cunjian Chen (CoRR, 2024)

DiffX: Guide Your Layout to Cross-Modal Generative Modeling. - Zeyu Wang 010; Jingyu Lin; Yifei Qian; Yi Huang; Shicen Tian; Bosong Chai; Juncan Deng; Lan Du 002; Cunjian Chen; Yufei Guo; Kejie Huang (CoRR, 2024)

HiTSKT: A hierarchical transformer model for session-aware knowledge tracing. - Fucai Ke; Weiqing Wang 001; Weicong Tan; Lan Du 002; Yuan Jin; Yujin Huang; Hongzhi Yin (Knowl. Based Syst., 2024)

Teacher-student complementary sample contrastive distillation. - Zhiqiang Bao; Zhenhua Huang; Jianping Gou; Lan Du 002; Kang Liu 022; Jingtao Zhou; Yunwen Chen (Neural Networks, 2024)

Enhancing Educational Dialogue Act Classification With Discourse Context and Sample Informativeness. - Jionghao Lin; Wei Tan; Lan Du 002; Wray L. Buntine; David Lang; Dragan Gasevic; Guanliang Chen (IEEE Trans. Learn. Technol., 2024)

Reciprocal Teacher-Student Learning via Forward and Feedback Knowledge Distillation. - Jianping Gou; Yu Chen; Baosheng Yu; Jinhua Liu 001; Lan Du 002; Shaohua Wan 001; Zhang Yi 001 (IEEE Trans. Multim., 2024)

Hierarchical Locality-Aware Deep Dictionary Learning for Classification. - Jianping Gou; Xin He; Lan Du 002; Baosheng Yu; Wenbai Chen; Zhang Yi 001 (IEEE Trans. Multim., 2024)

Reconstructed Graph Constrained Auto-Encoders for Multi-View Representation Learning. - Jianping Gou; Nannan Xie; Yunhao Yuan 001; Lan Du 002; Weihua Ou; Zhang Yi 001 (IEEE Trans. Multim., 2024)

Difference-Aware Distillation for Semantic Segmentation. - Jianping Gou; Xiabin Zhou; Lan Du 002; Yibing Zhan; Wu Chen 005; Zhang Yi 001 (IEEE Trans. Multim., 2024)

Bayesian Estimate of Mean Proper Scores for Diversity-Enhanced Active Learning. - Wei Tan; Lan Du 002; Wray L. Buntine (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Collaborative Knowledge Distillation via Multiknowledge Transfer. - Jianping Gou; Liyuan Sun; Baosheng Yu; Lan Du 002; Kotagiri Ramamohanarao; Dacheng Tao (IEEE Trans. Neural Networks Learn. Syst., 2024)

Prototype-Guided Memory Replay for Continual Learning. - Stella Ho; Ming Liu 028; Lan Du 002; Longxiang Gao; Yong Xiang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Neural Topic Modeling with Large Language Models in the Loop. - Xiaohao Yang; He Zhao 001; Weijie Xu; Yuanyuan Qi; Jueqing Lu; Dinh Phung 001; Lan Du 002 (ACL (1), 2025)

CGMatch: A Different Perspective of Semi-supervised Learning. - Bo Cheng; Jueqing Lu; Yuan Tian 016; Haifeng Zhao; Yi Chang 001; Lan Du 002 (CVPR, 2025)

Multi-Label Bayesian Active Learning with Inter-Label Relationships. - Yuanyuan Qi; Jueqing Lu; Xiaohao Yang; Joanne Enticott; Lan Du 002 (UAI, 2025)

LLM Reading Tea Leaves: Automatically Evaluating Topic Models with Large Language Models. - Xiaohao Yang; He Zhao 001; Dinh Q. Phung; Wray L. Buntine; Lan Du 002 (Trans. Assoc. Comput. Linguistics, 2025)

MSFM-UNET: enhancing medical image segmentation with multi-scale and multi-view frequency fusion. - Qiang Gao 017; Yi Wang 074; Feiyan Zhou; Jing Wen; Yong Li; Bin Fang 001; Peng Chen; Lan Du 002; Cunjian Chen (Pattern Anal. Appl., 2025)

Decoupled Multimodal Prototypes for Visual Recognition with Missing Modalities. - Jueqing Lu; Yuanyuan Qi; Xiaohao Yang; Shujie Zhou; Lan Du 002 (CoRR, 2025)

ALScope: A Unified Toolkit for Deep Active Learning. - Chenkai Wu; Yuanyuan Qi; Xiaohao Yang; Jueqing Lu; Gang Liu 021; Wray L. Buntine; Lan Du 002 (CoRR, 2025)