| 2026 | AAAI | Next Generation Active Learning: Mixture of LLMs in the Loop. | Yuanyuan Qi, Xiaohao Yang, Jueqing Lu, Guoxiang Guo, Joanne Enticott, Gang Liu, Lan Du |
| 2026 | AAAI | IdentityStory: Taming Your Identity-Preserving Generator for Human-Centric Story Generation. | Donghao Zhou, Jingyu Lin, Guibao Shen, Quande Liu, Jialin Gao, Lihao Liu, Lan Du, Cunjian Chen, Chi-Wing Fu, Xiaowei Hu, Pheng-Ann Heng |
| 2025 | ACL | Neural Topic Modeling with Large Language Models in the Loop. | Xiaohao Yang, He Zhao, Weijie Xu, Yuanyuan Qi, Jueqing Lu, Dinh Phung, Lan Du |
| 2025 | ADMA | MoleNovo: A Casanovo-Based De Novo Molecular Generation Framework. | Jun Gao, Haifeng Zhao, Guohao Zong, Shunxiang Gao, Yan Zhang, Lan Du |
| 2025 | ADMA | Leveraging Deep AUC Maximisation for Enhanced Active Learning in Named Entity Recognition. | Wei Tan, Dan Nguyen, Chen Li, Wray L. Buntine, Haifeng Zhao, Lan Du |
| 2025 | CVPR | CGMatch: A Different Perspective of Semi-supervised Learning. | Bo Cheng, Jueqing Lu, Yuan Tian, Haifeng Zhao, Yi Chang, Lan Du |
| 2025 | ICML | Navigating Conflicting Views: Harnessing Trust for Learning. | Jueqing Lu, Wray L. Buntine, Yuanyuan Qi, Joanna Dipnall, Belinda Gabbe, Lan Du |
| 2025 | UAI | Multi-Label Bayesian Active Learning with Inter-Label Relationships. | Yuanyuan Qi, Jueqing Lu, Xiaohao Yang, Joanne Enticott, Lan Du |
| 2024 | AAAI | Harnessing the Power of Beta Scoring in Deep Active Learning for Multi-Label Text Classification. | Wei Tan, Ngoc Dang Nguyen, Lan Du, Wray L. Buntine |
| 2024 | IGARSS | Physics-Driven Interpretable SAR Target Recognition Network Based on Scattering Center Feature Extraction. | Leiyao Liao, Lan Du |
| 2023 | AAAI | AUC Maximization for Low-Resource Named Entity Recognition. | Ngoc Dang Nguyen, Wei Tan, Lan Du, Wray L. Buntine, Richard Beare, Changyou Chen |
| 2023 | AIED | Robust Educational Dialogue Act Classifiers with Low-Resource and Imbalanced Datasets. | Jionghao Lin, Wei Tan, Ngoc Dang Nguyen, David Lang, Lan Du, Wray L. Buntine, Richard Beare, Guanliang Chen, Dragan Gasevic |
| 2023 | AIED | Does Informativeness Matter? Active Learning for Educational Dialogue Act Classification. | Wei Tan, Jionghao Lin, David Lang, Guanliang Chen, Dragan Gasevic, Lan Du, Wray L. Buntine |
| 2023 | EMNLP | Re-weighting Tokens: A Simple and Effective Active Learning Strategy for Named Entity Recognition. | Haocheng Luo, Wei Tan, Ngoc Dang Nguyen, Lan Du |
| 2023 | ICASSP | DST: Deformable Speech Transformer for Emotion Recognition. | Weidong Chen, Xiaofen Xing, Xiangmin Xu, Jianxin Pang, Lan Du |
| 2023 | ICDM | Low-Resource Named Entity Recognition: Can One-vs-All AUC Maximization Help? | Ngoc Dang Nguyen, Wei Tan, Lan Du, Wray L. Buntine, Richard Beare, Changyou Chen |
| 2022 | CIKM | Semi-supervised Continual Learning with Meta Self-training. | Stella Ho, Ming Liu, Lan Du, Yunfeng Li, Longxiang Gao, Shang Gao |
| 2022 | EMNLP | Hardness-guided domain adaptation to recognise biomedical named entities under low-resource scenarios. | Ngoc Dang Nguyen, Lan Du, Wray L. Buntine, Changyou Chen, Richard Beare |
| 2022 | EMNLP | Learning Semantic Textual Similarity via Topic-informed Discrete Latent Variables. | Erxin Yu, Lan Du, Yuan Jin, Zhepei Wei, Yi Chang |
| 2022 | Interspeech | SpeechFormer: A Hierarchical Efficient Framework Incorporating the Characteristics of Speech. | Weidong Chen, Xiaofen Xing, Xiangmin Xu, Jianxin Pang, Lan Du |
| 2022 | IGARSS | Design of the Physically Interpretable Sar Target Recognition Network Combined with Electromagnetic Scattering Characteristics. | Yi Li, Lan Du |
| 2021 | EMNLP | Neural Attention-Aware Hierarchical Topic Model. | Yuan Jin, He Zhao, Ming Liu, Lan Du, Wray L. Buntine |
| 2021 | EMNLP | Leveraging Information Bottleneck for Scientific Document Summarization. | Jiaxin Ju, Ming Liu, Huan Yee Koh, Yuan Jin, Lan Du, Shirui Pan |
| 2021 | EMNLP | Transformer over Pre-trained Transformer for Neural Text Segmentation with Enhanced Topic Coherence. | Kelvin Lo, Yuan Jin, Weicong Tan, Ming Liu, Lan Du, Wray L. Buntine |
| 2021 | EMNLP | Multilingual Neural Machine Translation: Can Linguistic Hierarchies Help? | Fahimeh Saleh, Wray L. Buntine, Gholamreza Haffari, Lan Du |
| 2021 | IJCAI | Topic Modelling Meets Deep Neural Networks: A Survey. | He Zhao, Dinh Q. Phung, Viet Huynh, Yuan Jin, Lan Du, Wray L. Buntine |
| 2021 | IGARSS | SAR Automatic Target Recognition Based on Multi-Scale Convolutional Factor Analysis Model with Max-Margin Constraint. | Yuchen Guo, Lan Du, Chen Li, Jian Chen |
| 2021 | IGARSS | SAR Target Detection Network Based on Saliency-Combined Single Shot Multi Box Detector. | Lu Li, Lan Du, Yuang Du |
| 2021 | PAKDD | Stratified Sampling for Extreme Multi-label Data. | Maximillian Merrillees, Lan Du |
| 2020 | AISTATS | Variational Autoencoders for Sparse and Overdispersed Discrete Data. | He Zhao, Piyush Rai, Lan Du, Wray L. Buntine, Dinh Phung, Mingyuan Zhou |
| 2020 | EMNLP | Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs. | Jueqing Lu, Lan Du, Ming Liu, Joanna Dipnall |
| 2020 | SIGIR | SummPip: Unsupervised Multi-Document Summarization with Sentence Graph Compression. | Jinming Zhao, Ming Liu, Longxiang Gao, Yuan Jin, Lan Du, He Zhao, He Zhang, Gholamreza Haffari |
| 2019 | ACL | Leveraging Meta Information in Short Text Aggregation. | He Zhao, Lan Du, Guanfeng Liu, Wray L. Buntine |
| 2019 | CIKM | Long-short Distance Aggregation Networks for Positive Unlabeled Graph Learning. | Man Wu, Shirui Pan, Lan Du, Ivor W. Tsang, Xingquan Zhu, Bo Du |
| 2019 | IGARSS | A Hierarchical Saliency Based Target Detection Method for High-Resolution Sar Images. | Lan Du, Lu Li, Zhaocheng Wang |
| 2019 | IGARSS | A Semi-Supervised Method for SAR Target Discrimination Based on Co-Training. | Lan Du, Yan Wang, Weitong Xie |
| 2018 | AISTATS | Bayesian Multi-label Learning with Sparse Features and Labels, and Label Co-occurrences. | He Zhao, Piyush Rai, Lan Du, Wray L. Buntine |
| 2018 | ICML | Inter and Intra Topic Structure Learning with Word Embeddings. | He Zhao, Lan Du, Wray L. Buntine, Mingyuan Zhou |
| 2018 | PAKDD | Leveraging Label Category Relationships in Multi-class Crowdsourcing. | Yuan Jin, Lan Du, Ye Zhu, Mark J. Carman |
| 2017 | ACL | Unsupervised Text Segmentation Based on Native Language Characteristics. | Shervin Malmasi, Mark Dras, Mark Johnson, Lan Du, Magdalena Wolska |
| 2017 | ACML | A Word Embeddings Informed Focused Topic Model. | He Zhao, Lan Du, Wray L. Buntine |
| 2017 | ICDM | MetaLDA: A Topic Model that Efficiently Incorporates Meta Information. | He Zhao, Lan Du, Wray L. Buntine, Gang Liu |
| 2017 | ICML | Leveraging Node Attributes for Incomplete Relational Data. | He Zhao, Lan Du, Wray L. Buntine |
| 2017 | WSDM | Semantic-aware Query Processing for Activity Trajectories. | Huiwen Liu, Jiajie Xu, Kai Zheng, Chengfei Liu, Lan Du, Xian Wu |
| 2016 | CEC | Discriminative sparsity preserving graph embedding. | Jianping Gou, Lan Du, Keyang Cheng, Yingfeng Cai |
| 2016 | ICASSP | Noise robust recognition method based on scatterer pattern for radar HRRP data. | Hua He, Lan Du, Penghui Wang, Hongwei Liu |
| 2015 | AAAI | Topic Segmentation with an Ordering-Based Topic Model. | Lan Du, John K. Pate, Mark Johnson |
| 2015 | ACL | A Computationally Efficient Algorithm for Learning Topical Collocation Models. | Zhendong Zhao, Lan Du, Benjamin Brschinger, John K. Pate, Massimiliano Ciaramita, Mark Steedman, Mark Johnson |
| 2014 | ICDM | Topic Models with Topic Ordering Regularities for Topic Segmentation. | Lan Du, John K. Pate, Mark Johnson |
| 2013 | NAACL | Topic Segmentation with a Structured Topic Model. | Lan Du, Wray L. Buntine, Mark Johnson |
| 2013 | PAKDD | Semantic Title Evaluation and Recommendation Based on Topic Models. | Huidong Jin, Lijiu Zhang, Lan Du |
| 2013 | WISE | Learning Social Relationship Strength via Matrix Co-Factorization with Multiple Kernels. | Youliang Zhong, Lan Du, Jian Yang |
| 2012 | EMNLP | Modelling Sequential Text with an Adaptive Topic Model. | Lan Du, Wray L. Buntine, Huidong Jin |
| 2010 | ICDM | Sequential Latent Dirichlet Allocation: Discover Underlying Topic Structures within a Document. | Lan Du, Wray Lindsay Buntine, Huidong Jin |
| 2008 | DICTA | Soil Moisture Prediction with Feature Selection Using a Neural Network. | Junlei Song, Dianhong Wang, Nianjun Liu, Li Cheng, Lan Du, Ke Zhang |
| 2008 | ISI | A latent semantic indexing and WordNet based information retrieval model for digital forensics. | Lan Du, Huidong Jin, Olivier Y. de Vel, Nianjun Liu |
| 2008 | ISI | A Simple WordNet-Ontology Based Email Retrieval System for Digital Forensics. | Phan Thien Son, Lan Du, Huidong Jin, Olivier Y. de Vel, Nianjun Liu, Terry Caelli |
| 2007 | ICNC | A Novel Statistical Recognition Method Based on Hypersphere Model for Radar HRRP ATR. | Lan Du, Hongwei Liu, Zheng Bao, Feng Chen |
| 2007 | ISNN | A Novel Feature Vector Using Complex HRRP for Radar Target Recognition. | Lan Du, Hongwei Liu, Zheng Bao, Feng Chen |
| 2006 | ICNC | Multicategory Classification Based on the Hypercube Self-Organizing Mapping (SOM) Scheme. | Lan Du, Junying Zhang, Zheng Bao |
| 2005 | ISNN | A Compound Statistical Model Based Radar HRRP Target Recognition. | Lan Du, Hongwei Liu, Zheng Bao, Junying Zhang |