Du, Lan

21 publications

CVPR 2025 CGMatch: A Different Perspective of Semi-Supervised Learning Bo Cheng, Jueqing Lu, Yuan Tian, Haifeng Zhao, Yi Chang, Lan Du

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

ICML 2025 Navigating Conflicting Views: Harnessing Trust for Learning Jueqing Lu, Wray Buntine, Yuanyuan Qi, Joanna Dipnall, Belinda Gabbe, Lan Du

ECML-PKDD 2025 Target-Adaptive Structure-Semantic Consistency for Unsupervised Graph Domain Adaptation Yan Zou, Yongzheng Lu, Na Li, Xiatian Zhu, Lan Du, Ming Yan, Ying Ma

AAAI 2024 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

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

NeurIPS 2023 Beyond Unimodal: Generalising Neural Processes for Multimodal Uncertainty Estimation Myong Chol Jung, He Zhao, Joanna Dipnall, Lan Du

NeurIPS 2022 Uncertainty Estimation for Multi-View Data: The Power of Seeing the Whole Picture Myong Chol Jung, He Zhao, Joanna Dipnall, Belinda Gabbe, Lan Du

NeurIPS 2021 Diversity Enhanced Active Learning with Strictly Proper Scoring Rules Wei Tan, Lan Du, Wray Buntine

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

AISTATS 2020 Variational Autoencoders for Sparse and Overdispersed Discrete Data He Zhao, Piyush Rai, Lan Du, Wray Buntine, Dinh Phung, Mingyuan Zhou

AISTATS 2018 Bayesian Multi-Label Learning with Sparse Features and Labels, and Label Co-Occurrences He Zhao, Piyush Rai, Lan Du, Wray L. Buntine

NeurIPS 2018 Dirichlet Belief Networks for Topic Structure Learning He Zhao, Lan Du, Wray Buntine, Mingyuan Zhou

ICML 2018 Inter and Intra Topic Structure Learning with Word Embeddings He Zhao, Lan Du, Wray Buntine, Mingyuan Zhou

ACML 2017 A Word Embeddings Informed Focused Topic Model He Zhao, Lan Du, Wray Buntine

ICML 2017 Leveraging Node Attributes for Incomplete Relational Data He Zhao, Lan Du, Wray Buntine

AAAI 2015 Topic Segmentation with an Ordering-Based Topic Model Lan Du, John K. Pate, Mark Johnson

JMLR 2011 Logistic Stick-Breaking Process Lu Ren, Lan Du, Lawrence Carin, David Dunson

ECML-PKDD 2011 Sampling Table Configurations for the Hierarchical Poisson-Dirichlet Process Changyou Chen, Lan Du, Wray L. Buntine

MLJ 2010 A Segmented Topic Model Based on the Two-Parameter Poisson-Dirichlet Process Lan Du, Wray L. Buntine, Huidong Jin

NeurIPS 2009 A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation Lan Du, Lu Ren, Lawrence Carin, David B. Dunson