Lan Du

144 papers A* 23A 8B 1C 2Misc 2Journal 85Unranked 22
YearRankTypeTitle / Venue / Authors
2026 J jnl
Deep class-weighted and class-shared dictionary learning for image classification.
Expert Syst. Appl.
Jianping Gou, Xin He, Lan Du, Weiyong Zhang, Weihua Ou
2026 A* conf
IdentityStory: Taming Your Identity-Preserving Generator for Human-Centric Story Generation.
AAAI
Donghao Zhou, Jingyu Lin, Guibao Shen, Quande Liu, Jialin Gao, Lihao Liu, Lan Du, Cunjian Chen, Chi-Wing Fu, Xiaowei Hu, Pheng-Ann Heng
2026 J jnl
MTS-Net: Dual-enhanced positional multi-head self-attention for 3D CT diagnosis of May-Thurner Syndrome.
Biomed. Signal Process. Control.
Yixin Huang, Yiqi Jin, Ke Tao, Kaijian Xia, Jianfeng Gu, Lei Yu, Haojie Li, Lan Du, Cunjian Chen
2026 J jnl
Multi-Scale Collaborative Distillation Graph Neural Networks for Session-Based Recommendation.
IEEE Trans. Serv. Comput.
Jianping Gou, Youhui Cheng, Benteng Ma, Lan Du, Xin Luo, Zhang Yi
2026 A* conf
Next Generation Active Learning: Mixture of LLMs in the Loop.
AAAI
Yuanyuan Qi, Xiaohao Yang, Jueqing Lu, Guoxiang Guo, Joanne Enticott, Gang Liu, Lan Du
2026 J jnl
Next Generation Active Learning: Mixture of LLMs in the Loop.
CoRR
Yuanyuan Qi, Xiaohao Yang, Jueqing Lu, Guoxiang Guo, Joanne Enticott, Gang Liu, Lan Du
2025 J jnl
ALScope: A Unified Toolkit for Deep Active Learning.
CoRR
Chenkai Wu, Yuanyuan Qi, Xiaohao Yang, Jueqing Lu, Gang Liu, Wray L. Buntine, Lan Du
2025 A* conf
CGMatch: A Different Perspective of Semi-supervised Learning.
CVPR
Bo Cheng, Jueqing Lu, Yuan Tian, Haifeng Zhao, Yi Chang, Lan Du
2025 J jnl
CGMatch: A Different Perspective of Semi-supervised Learning.
CoRR
Bo Cheng, Jueqing Lu, Yuan Tian, Haifeng Zhao, Yi Chang, Lan Du
2025 — conf
Collaborative and Progressive Teacher-Assistant Knowledge Distillation.
PRCV (2)
Rui Gao, Ping Wang, Jianping Gou, Lan Du, Weihua Ou
2025 J jnl
Contrastive Learning-Based Multi-Level Knowledge Distillation.
CAAI Trans. Intell. Technol.
Lin Li, Jianping Gou, Weihua Ou, Wenbai Chen, Lan Du
2025 J jnl
Decoupled Multimodal Prototypes for Visual Recognition with Missing Modalities.
CoRR
Jueqing Lu, Yuanyuan Qi, Xiaohao Yang, Shujie Zhou, Lan Du
2025 A* conf
Enhancing Multi-view Open-set Learning via Ambiguity Uncertainty Calibration and View-wise Debiasing.
ACM Multimedia
Zihan Fang, Zhiyong Xu, Lan Du, Shide Du, Zhiling Cai, Shiping Wang
2025 J jnl
Enhancing Multi-view Open-set Learning via Ambiguity Uncertainty Calibration and View-wise Debiasing.
CoRR
Zihan Fang, Zhiyong Xu, Lan Du, Shide Du, Zhiling Cai, Shiping Wang
2025 J jnl
IdentityStory: Taming Your Identity-Preserving Generator for Human-Centric Story Generation.
CoRR
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 J jnl
LLM Reading Tea Leaves: Automatically Evaluating Topic Models with Large Language Models.
Trans. Assoc. Comput. Linguistics
Xiaohao Yang, He Zhao, Dinh Q. Phung, Wray L. Buntine, Lan Du
2025 — conf
Leveraging Deep AUC Maximisation for Enhanced Active Learning in Named Entity Recognition.
ADMA (2)
Wei Tan, Dan Nguyen, Chen Li, Wray L. Buntine, Haifeng Zhao, Lan Du
2025 J jnl
MSFM-UNET: enhancing medical image segmentation with multi-scale and multi-view frequency fusion.
Pattern Anal. Appl.
Qiang Gao, Yi Wang, Feiyan Zhou, Jing Wen, Yong Li, Bin Fang, Peng Chen, Lan Du, Cunjian Chen
2025 — conf
MoleNovo: A Casanovo-Based De Novo Molecular Generation Framework.
ADMA (3)
Jun Gao, Haifeng Zhao, Guohao Zong, Shunxiang Gao, Yan Zhang, Lan Du
2025 A conf
Multi-Label Bayesian Active Learning with Inter-Label Relationships.
UAI
Yuanyuan Qi, Jueqing Lu, Xiaohao Yang, Joanne Enticott, Lan Du
2025 A* conf
Navigating Conflicting Views: Harnessing Trust for Learning.
ICML
Jueqing Lu, Wray L. Buntine, Yuanyuan Qi, Joanna Dipnall, Belinda Gabbe, Lan Du
2025 — conf
Neural Topic Modeling with Large Language Models in the Loop.
ACL (1)
Xiaohao Yang, He Zhao, Weijie Xu, Yuanyuan Qi, Jueqing Lu, Dinh Phung, Lan Du
2024 J jnl
Bayesian Estimate of Mean Proper Scores for Diversity-Enhanced Active Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Wei Tan, Lan Du, Wray L. Buntine
2024 J jnl
Collaborative Knowledge Distillation via Multiknowledge Transfer.
IEEE Trans. Neural Networks Learn. Syst.
Jianping Gou, Liyuan Sun, Baosheng Yu, Lan Du, Kotagiri Ramamohanarao, Dacheng Tao
2024 A* conf
DiffTV: Identity-Preserved Thermal-to-Visible Face Translation via Feature Alignment and Dual-Stage Conditions.
ACM Multimedia
Jingyu Lin, Guiqin Zhao, Jing Xu, Guoli Wang, Zejin Wang, Antitza Dantcheva, Lan Du, Cunjian Chen
2024 J jnl
DiffX: Guide Your Layout to Cross-Modal Generative Modeling.
CoRR
Zeyu Wang, Jingyu Lin, Yifei Qian, Yi Huang, Shicen Tian, Bosong Chai, Juncan Deng, Lan Du, Cunjian Chen, Yufei Guo, Kejie Huang
2024 J jnl
Difference-Aware Distillation for Semantic Segmentation.
IEEE Trans. Multim.
Jianping Gou, Xiabin Zhou, Lan Du, Yibing Zhan, Wu Chen, Zhang Yi
2024 J jnl
Enhancing Educational Dialogue Act Classification With Discourse Context and Sample Informativeness.
IEEE Trans. Learn. Technol.
Jionghao Lin, Wei Tan, Lan Du, Wray L. Buntine, David Lang, Dragan Gasevic, Guanliang Chen
2024 J jnl
Enhancing Near OOD Detection in Prompt Learning: Maximum Gains, Minimal Costs.
CoRR
Myong Chol Jung, He Zhao, Joanna Dipnall, Belinda Gabbe, Lan Du
2024 J jnl
Federated Distillation: A Survey.
CoRR
Lin Li, Jianping Gou, Baosheng Yu, Lan Du, Zhang Yi, Dacheng Tao
2024 A* conf
Harnessing the Power of Beta Scoring in Deep Active Learning for Multi-Label Text Classification.
AAAI
Wei Tan, Ngoc Dang Nguyen, Lan Du, Wray L. Buntine
2024 J jnl
Harnessing the Power of Beta Scoring in Deep Active Learning for Multi-Label Text Classification.
CoRR
Wei Tan, Ngoc Dang Nguyen, Lan Du, Wray L. Buntine
2024 J jnl
HiTSKT: A hierarchical transformer model for session-aware knowledge tracing.
Knowl. Based Syst.
Fucai Ke, Weiqing Wang, Weicong Tan, Lan Du, Yuan Jin, Yujin Huang, Hongzhi Yin
2024 J jnl
Hierarchical Locality-Aware Deep Dictionary Learning for Classification.
IEEE Trans. Multim.
Jianping Gou, Xin He, Lan Du, Baosheng Yu, Wenbai Chen, Zhang Yi
2024 — conf
Inter-Class Correlation-Based Online Knowledge Distillation.
PRCV (1)
Hongfang Zhu, Jianping Gou, Lan Du, Weihua Ou
2024 J jnl
LLM Reading Tea Leaves: Automatically Evaluating Topic Models with Large Language Models.
CoRR
Xiaohao Yang, He Zhao, Dinh Q. Phung, Wray L. Buntine, Lan Du
2024 J jnl
MTS-Net: Dual-Enhanced Positional Multi-Head Self-Attention for 3D CT Diagnosis of May-Thurner Syndrome.
CoRR
Yixin Huang, Yiqi Jin, Ke Tao, Kaijian Xia, Jianfeng Gu, Lei Yu, Lan Du, Cunjian Chen
2024 J jnl
Multi-Label Bayesian Active Learning with Inter-Label Relationships.
CoRR
Yuanyuan Qi, Jueqing Lu, Xiaohao Yang, Joanne Enticott, Lan Du
2024 J jnl
Navigating Conflicting Views: Harnessing Trust for Learning.
CoRR
Jueqing Lu, Lan Du, Wray L. Buntine, Myong Chol Jung, Joanna Dipnall, Belinda Gabbe
2024 J jnl
Neural Topic Modeling with Large Language Models in the Loop.
CoRR
Xiaohao Yang, He Zhao, Weijie Xu, Yuanyuan Qi, Jueqing Lu, Dinh Q. Phung, Lan Du
2024 J jnl
Prototype-Guided Memory Replay for Continual Learning.
IEEE Trans. Neural Networks Learn. Syst.
Stella Ho, Ming Liu, Lan Du, Longxiang Gao, Yong Xiang
2024 J jnl
Reciprocal Teacher-Student Learning via Forward and Feedback Knowledge Distillation.
IEEE Trans. Multim.
Jianping Gou, Yu Chen, Baosheng Yu, Jinhua Liu, Lan Du, Shaohua Wan, Zhang Yi
2024 J jnl
Reconstructed Graph Constrained Auto-Encoders for Multi-View Representation Learning.
IEEE Trans. Multim.
Jianping Gou, Nannan Xie, Yunhao Yuan, Lan Du, Weihua Ou, Zhang Yi
2024 J jnl
Teacher-student complementary sample contrastive distillation.
Neural Networks
Zhiqiang Bao, Zhenhua Huang, Jianping Gou, Lan Du, Kang Liu, Jingtao Zhou, Yunwen Chen
2023 A* conf
AUC Maximization for Low-Resource Named Entity Recognition.
AAAI
Ngoc Dang Nguyen, Wei Tan, Lan Du, Wray L. Buntine, Richard Beare, Changyou Chen
2023 J jnl
Bayesian Estimate of Mean Proper Scores for Diversity-Enhanced Active Learning.
CoRR
Wei Tan, Lan Du, Wray L. Buntine
2023 A* conf
Beyond Unimodal: Generalising Neural Processes for Multimodal Uncertainty Estimation.
NeurIPS
Myong Chol Jung, He Zhao, Joanna Dipnall, Lan Du
2023 J jnl
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.
Int. J. Medical Informatics
Yitayeh Belsti, Lisa Moran, Lan Du, Aya Mousa, Kushan De Silva, Joanne Enticott, Helena Teede
2023 J jnl
Discriminative and Geometry-Preserving Adaptive Graph Embedding for dimensionality reduction.
Neural Networks
Jianping Gou, Xia Yuan, Ya Xue, Lan Du, Jiali Yu, Shuyin Xia, Zhang Yi
2023 A conf
Does Informativeness Matter? Active Learning for Educational Dialogue Act Classification.
AIED
Wei Tan, Jionghao Lin, David Lang, Guanliang Chen, Dragan Gasevic, Lan Du, Wray L. Buntine
2023 J jnl
Does Informativeness Matter? Active Learning for Educational Dialogue Act Classification.
CoRR
Wei Tan, Jionghao Lin, David Lang, Guanliang Chen, Dragan Gasevic, Lan Du, Wray L. Buntine
2023 J jnl
Locality-constrained weighted collaborative-competitive representation for classification.
Int. J. Mach. Learn. Cybern.
Jianping Gou, Xiangshuo Xiong, Hongwei Wu, Lan Du, Shaoning Zeng, Yunhao Yuan, Weihua Ou
2023 A* conf
Low-Resource Named Entity Recognition: Can One-vs-All AUC Maximization Help?
ICDM
Ngoc Dang Nguyen, Wei Tan, Lan Du, Wray L. Buntine, Richard Beare, Changyou Chen
2023 J jnl
Low-Resource Named Entity Recognition: Can One-vs-All AUC Maximization Help?
CoRR
Ngoc Dang Nguyen, Wei Tan, Lan Du, Wray L. Buntine, Richard Beare, Changyou Chen
2023 J jnl
Multi-target Knowledge Distillation via Student Self-reflection.
Int. J. Comput. Vis.
Jianping Gou, Xiangshuo Xiong, Baosheng Yu, Lan Du, Yibing Zhan, Dacheng Tao
2023 J jnl
Multimodal Neural Processes for Uncertainty Estimation.
CoRR
Myong Chol Jung, He Zhao, Joanna Dipnall, Belinda Gabbe, Lan Du
2023 — conf
Re-weighting Tokens: A Simple and Effective Active Learning Strategy for Named Entity Recognition.
EMNLP (Findings)
Haocheng Luo, Wei Tan, Ngoc Dang Nguyen, Lan Du
2023 J jnl
Re-weighting Tokens: A Simple and Effective Active Learning Strategy for Named Entity Recognition.
CoRR
Haocheng Luo, Wei Tan, Ngoc Dang Nguyen, Lan Du
2023 A conf
Robust Educational Dialogue Act Classifiers with Low-Resource and Imbalanced Datasets.
AIED
Jionghao Lin, Wei Tan, Ngoc Dang Nguyen, David Lang, Lan Du, Wray L. Buntine, Richard Beare, Guanliang Chen, Dragan Gasevic
2023 J jnl
Robust Educational Dialogue Act Classifiers with Low-Resource and Imbalanced Datasets.
CoRR
Jionghao Lin, Wei Tan, Ngoc Dang Nguyen, David Lang, Lan Du, Wray L. Buntine, Richard Beare, Guanliang Chen, Dragan Gasevic
2023 J jnl
Towards Generalising Neural Topical Representations.
CoRR
Xiaohao Yang, He Zhao, Dinh Phung, Lan Du
2022 J jnl
A representation coefficient-based
Expert Syst. Appl.
Jianping Gou, Liyuan Sun, Lan Du, Hongxing Ma, Taisong Xiong, Weihua Ou, Yongzhao Zhan
2022 J jnl
AUC Maximization for Low-Resource Named Entity Recognition.
CoRR
Ngoc Dang Nguyen, Wei Tan, Wray L. Buntine, Richard Beare, Changyou Chen, Lan Du
2022 A* conf
Hardness-guided domain adaptation to recognise biomedical named entities under low-resource scenarios.
EMNLP
Ngoc Dang Nguyen, Lan Du, Wray L. Buntine, Changyou Chen, Richard Beare
2022 J jnl
Hardness-guided domain adaptation to recognise biomedical named entities under low-resource scenarios.
CoRR
Ngoc Dang Nguyen, Lan Du, Wray L. Buntine, Changyou Chen, Richard Beare
2022 J jnl
HiTSKT: A Hierarchical Transformer Model for Session-Aware Knowledge Tracing.
CoRR
Fucai Ke, Weiqing Wang, Weicong Tan, Lan Du, Yuan Jin, Yujin Huang, Hongzhi Yin
2022 J jnl
Hierarchical Graph Augmented Deep Collaborative Dictionary Learning for Classification.
IEEE Trans. Intell. Transp. Syst.
Jianping Gou, Xia Yuan, Lan Du, Shuyin Xia, Zhang Yi
2022 A* conf
Learning Semantic Textual Similarity via Topic-informed Discrete Latent Variables.
EMNLP
Erxin Yu, Lan Du, Yuan Jin, Zhepei Wei, Yi Chang
2022 J jnl
Learning Semantic Textual Similarity via Topic-informed Discrete Latent Variables.
CoRR
Erxin Yu, Lan Du, Yuan Jin, Zhepei Wei, Yi Chang
2022 J jnl
Mulan: A Multiple Residual Article-Wise Attention Network for Legal Judgment Prediction.
ACM Trans. Asian Low Resour. Lang. Inf. Process.
Junyi Chen, Lan Du, Ming Liu, Xiabing Zhou
2022 A conf
Semi-supervised Continual Learning with Meta Self-training.
CIKM
Stella Ho, Ming Liu, Lan Du, Yunfeng Li, Longxiang Gao, Shang Gao
2022 A* conf
Uncertainty Estimation for Multi-view Data: The Power of Seeing the Whole Picture.
NeurIPS
Myong Chol Jung, He Zhao, Joanna Dipnall, Belinda Gabbe, Lan Du
2022 J jnl
Uncertainty Estimation for Multi-view Data: The Power of Seeing the Whole Picture.
CoRR
Myong Chol Jung, He Zhao, Joanna Dipnall, Belinda Gabbe, Lan Du
2021 J jnl
Class mean-weighted discriminative collaborative representation for classification.
Int. J. Intell. Syst.
Jianping Gou, Jun Song, Lan Du, Shaoning Zeng, Yongzhao Zhan, Zhang Yi
2021 J jnl
Collaborative Teacher-Student Learning via Multiple Knowledge Transfer.
CoRR
Liyuan Sun, Jianping Gou, Baosheng Yu, Lan Du, Dacheng Tao
2021 A* conf
Diversity Enhanced Active Learning with Strictly Proper Scoring Rules.
NeurIPS
Wei Tan, Lan Du, Wray L. Buntine
2021 J jnl
Diversity Enhanced Active Learning with Strictly Proper Scoring Rules.
CoRR
Wei Tan, Lan Du, Wray L. Buntine
2021 J jnl
Feature fusion-based collaborative learning for knowledge distillation.
Int. J. Distributed Sens. Networks
Yiting Li, Liyuan Sun, Jianping Gou, Lan Du, Weihua Ou
2021 J jnl
Learning Graph Neural Networks with Positive and Unlabeled Nodes.
CoRR
Man Wu, Shirui Pan, Lan Du, Xingquan Zhu
2021 J jnl
Learning Graph Neural Networks with Positive and Unlabeled Nodes.
ACM Trans. Knowl. Discov. Data
Man Wu, Shirui Pan, Lan Du, Xingquan Zhu
2021 — conf
Leveraging Information Bottleneck for Scientific Document Summarization.
EMNLP (Findings)
Jiaxin Ju, Ming Liu, Huan Yee Koh, Yuan Jin, Lan Du, Shirui Pan
2021 J jnl
Leveraging Information Bottleneck for Scientific Document Summarization.
CoRR
Jiaxin Ju, Ming Liu, Huan Yee Koh, Yuan Jin, Lan Du, Shirui Pan
2021 — conf
Multilingual Neural Machine Translation: Can Linguistic Hierarchies Help?
EMNLP (Findings)
Fahimeh Saleh, Wray L. Buntine, Gholamreza Haffari, Lan Du
2021 J jnl
Multilingual Neural Machine Translation: Can Linguistic Hierarchies Help?
CoRR
Fahimeh Saleh, Wray L. Buntine, Gholamreza Haffari, Lan Du
2021 — conf
Neural Attention-Aware Hierarchical Topic Model.
EMNLP (1)
Yuan Jin, He Zhao, Ming Liu, Lan Du, Wray L. Buntine
2021 J jnl
Neural Attention-Aware Hierarchical Topic Model.
CoRR
Yuan Jin, He Zhao, Ming Liu, Lan Du, Wray L. Buntine
2021 J jnl
Prototypes-Guided Memory Replay for Continual Learning.
CoRR
Stella Ho, Ming Liu, Lan Du, Longxiang Gao, Yong Xiang
2021 J jnl
Stratified Sampling for Extreme Multi-Label Data.
CoRR
Maximillian Merrillees, Lan Du
2021 — conf
Stratified Sampling for Extreme Multi-label Data.
PAKDD (2)
Maximillian Merrillees, Lan Du
2021 A* conf
Topic Modelling Meets Deep Neural Networks: A Survey.
IJCAI
He Zhao, Dinh Q. Phung, Viet Huynh, Yuan Jin, Lan Du, Wray L. Buntine
2021 J jnl
Topic Modelling Meets Deep Neural Networks: A Survey.
CoRR
He Zhao, Dinh Phung, Viet Huynh, Yuan Jin, Lan Du, Wray L. Buntine
2021 — conf
Transformer over Pre-trained Transformer for Neural Text Segmentation with Enhanced Topic Coherence.
EMNLP (Findings)
Kelvin Lo, Yuan Jin, Weicong Tan, Ming Liu, Lan Du, Wray L. Buntine
2021 J jnl
Transformer over Pre-trained Transformer for Neural Text Segmentation with Enhanced Topic Coherence.
CoRR
Kelvin Lo, Yuan Jin, Weicong Tan, Ming Liu, Lan Du, Wray L. Buntine
2021 J jnl
Variational auto-encoder based Bayesian Poisson tensor factorization for sparse and imbalanced count data.
Data Min. Knowl. Discov.
Yuan Jin, Ming Liu, Yunfeng Li, Ruohua Xu, Lan Du, Longxiang Gao, Yong Xiang
2020 J jnl
Double Competitive Constraints-Based Collaborative Representation for Pattern Classification.
Comput. Electr. Eng.
Jianping Gou, Hongwei Wu, Heping Song, Lan Du, Weihua Ou, Shaoning Zeng, Jia Ke
2020 J jnl
Leveraging Cross Feedback of User and Item Embeddings for Variational Autoencoder based Collaborative Filtering.
CoRR
Yuan Jin, He Zhao, Ming Liu, Lan Du, Yunfeng Li, Ruohua Xu, Longxiang Gao
2020 — conf
Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs.
EMNLP (1)
Jueqing Lu, Lan Du, Ming Liu, Joanna Dipnall
2020 J jnl
Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs.
CoRR
Jueqing Lu, Lan Du, Ming Liu, Joanna Dipnall
2020 A* conf
SummPip: Unsupervised Multi-Document Summarization with Sentence Graph Compression.
SIGIR
Jinming Zhao, Ming Liu, Longxiang Gao, Yuan Jin, Lan Du, He Zhao, He Zhang, Gholamreza Haffari
2020 J jnl
SummPip: Unsupervised Multi-Document Summarization with Sentence Graph Compression.
CoRR
Jinming Zhao, Ming Liu, Longxiang Gao, Yuan Jin, Lan Du, He Zhao, He Zhang, Gholamreza Haffari
2020 A conf
Variational Autoencoders for Sparse and Overdispersed Discrete Data.
AISTATS
He Zhao, Piyush Rai, Lan Du, Wray L. Buntine, Dinh Phung, Mingyuan Zhou
2019 — conf
Leveraging Meta Information in Short Text Aggregation.
ACL (1)
He Zhao, Lan Du, Guanfeng Liu, Wray L. Buntine
2019 J jnl
Leveraging external information in topic modelling.
Knowl. Inf. Syst.
He Zhao, Lan Du, Wray L. Buntine, Gang Liu
2019 A conf
Long-short Distance Aggregation Networks for Positive Unlabeled Graph Learning.
CIKM
Man Wu, Shirui Pan, Lan Du, Ivor W. Tsang, Xingquan Zhu, Bo Du
2019 J jnl
Representation-based classification methods with enhanced linear reconstruction measures for face recognition.
Comput. Electr. Eng.
Jianping Gou, Jun Song, Weihua Ou, Shaoning Zeng, Yun-Hao Yuan, Lan Du
2019 J jnl
Variational Auto-encoder Based Bayesian Poisson Tensor Factorization for Sparse and Imbalanced Count Data.
CoRR
Yuan Jin, Lan Du, Longxiang Gao, Yong Xiang, Yunfeng Li, Ruohua Xu
2019 J jnl
Variational Autoencoders for Sparse and Overdispersed Discrete Data.
CoRR
He Zhao, Piyush Rai, Lan Du, Wray L. Buntine, Mingyuan Zhou
2018 A conf
Bayesian Multi-label Learning with Sparse Features and Labels, and Label Co-occurrences.
AISTATS
He Zhao, Piyush Rai, Lan Du, Wray L. Buntine
2018 A* conf
Dirichlet belief networks for topic structure learning.
NeurIPS
He Zhao, Lan Du, Wray L. Buntine, Mingyuan Zhou
2018 J jnl
Dirichlet belief networks for topic structure learning.
CoRR
He Zhao, Lan Du, Wray L. Buntine, Mingyuan Zhou
2018 J jnl
Improving Topic Models with Latent Feature Word Representations.
CoRR
Dat Quoc Nguyen, Richard Billingsley, Lan Du, Mark Johnson
2018 A* conf
Inter and Intra Topic Structure Learning with Word Embeddings.
ICML
He Zhao, Lan Du, Wray L. Buntine, Mingyuan Zhou
2018 — conf
Leveraging Label Category Relationships in Multi-class Crowdsourcing.
PAKDD (2)
Yuan Jin, Lan Du, Ye Zhu, Mark J. Carman
2018 J jnl
Sparsity and Geometry Preserving Graph Embedding for Dimensionality Reduction.
IEEE Access
Jianping Gou, Zhang Yi, David Zhang, Yongzhao Zhan, Xiangjun Shen, Lan Du
2018 J jnl
Two-phase linear reconstruction measure-based classification for face recognition.
Inf. Sci.
Jianping Gou, Yong Xu, David Zhang, Qirong Mao, Lan Du, Yongzhao Zhan
2017 C conf
A Word Embeddings Informed Focused Topic Model.
ACML
He Zhao, Lan Du, Wray L. Buntine
2017 — ch.
Data Preparation.
Encyclopedia of Machine Learning and Data Mining
Zahraa Said Abdallah, Lan Du, Geoffrey I. Webb
2017 A* conf
Leveraging Node Attributes for Incomplete Relational Data.
ICML
He Zhao, Lan Du, Wray L. Buntine
2017 J jnl
Leveraging Node Attributes for Incomplete Relational Data.
CoRR
He Zhao, Lan Du, Wray L. Buntine
2017 A* conf
MetaLDA: A Topic Model that Efficiently Incorporates Meta Information.
ICDM
He Zhao, Lan Du, Wray L. Buntine, Gang Liu
2017 J jnl
MetaLDA: a Topic Model that Efficiently Incorporates Meta information.
CoRR
He Zhao, Lan Du, Wray L. Buntine, Gang Liu
2017 A conf
Semantic-aware Query Processing for Activity Trajectories.
WSDM
Huiwen Liu, Jiajie Xu, Kai Zheng, Chengfei Liu, Lan Du, Xian Wu
2017 — conf
Unsupervised Text Segmentation Based on Native Language Characteristics.
ACL (1)
Shervin Malmasi, Mark Dras, Mark Johnson, Lan Du, Magdalena Wolska
2016 B conf
Discriminative sparsity preserving graph embedding.
CEC
Jianping Gou, Lan Du, Keyang Cheng, Yingfeng Cai
2016 J jnl
Nonparametric Bayesian Topic Modelling with the Hierarchical Pitman-Yor Processes.
CoRR
Kar Wai Lim, Wray L. Buntine, Changyou Chen, Lan Du
2016 J jnl
Nonparametric Bayesian topic modelling with the hierarchical Pitman-Yor processes.
Int. J. Approx. Reason.
Kar Wai Lim, Wray L. Buntine, Changyou Chen, Lan Du
2015 — conf
A Computationally Efficient Algorithm for Learning Topical Collocation Models.
ACL (1)
Zhendong Zhao, Lan Du, Benjamin Börschinger, John K. Pate, Massimiliano Ciaramita, Mark Steedman, Mark Johnson
2015 J jnl
Differential Topic Models.
IEEE Trans. Pattern Anal. Mach. Intell.
Changyou Chen, Wray L. Buntine, Nan Ding, Lexing Xie, Lan Du
2015 J jnl
Improving Topic Models with Latent Feature Word Representations.
Trans. Assoc. Comput. Linguistics
Dat Quoc Nguyen, Richard Billingsley, Lan Du, Mark Johnson
2015 A* conf
Topic Segmentation with an Ordering-Based Topic Model.
AAAI
Lan Du, John K. Pate, Mark Johnson
2015 Misc conf
Using Entity Information from a Knowledge Base to Improve Relation Extraction.
ALTA
Lan Du, Anish Kumar, Mark Johnson, Massimiliano Ciaramita
2014 A* conf
Topic Models with Topic Ordering Regularities for Topic Segmentation.
ICDM
Lan Du, John K. Pate, Mark Johnson
2013 — conf
Learning Social Relationship Strength via Matrix Co-Factorization with Multiple Kernels.
WISE (1)
Youliang Zhong, Lan Du, Jian Yang
2013 — conf
Semantic Title Evaluation and Recommendation Based on Topic Models.
PAKDD (2)
Huidong Jin, Lijiu Zhang, Lan Du
2013 — conf
Topic Segmentation with a Structured Topic Model.
HLT-NAACL
Lan Du, Wray L. Buntine, Mark Johnson
2012 J jnl
A Local Mean-Based
Comput. J.
Jianping Gou, Zhang Yi, Lan Du, Taisong Xiong
2012 — conf
Modelling Sequential Text with an Adaptive Topic Model.
EMNLP-CoNLL
Lan Du, Wray L. Buntine, Huidong Jin
2012 J jnl
Sequential latent Dirichlet allocation.
Knowl. Inf. Syst.
Lan Du, Wray L. Buntine, Huidong Jin, Changyou Chen
2011 — conf
Sampling Table Configurations for the Hierarchical Poisson-Dirichlet Process.
ECML/PKDD (1)
Changyou Chen, Lan Du, Wray L. Buntine
2010 J jnl
A segmented topic model based on the two-parameter Poisson-Dirichlet process.
Mach. Learn.
Lan Du, Wray L. Buntine, Huidong Jin
2010 A* conf
Sequential Latent Dirichlet Allocation: Discover Underlying Topic Structures within a Document.
ICDM
Lan Du, Wray Lindsay Buntine, Huidong Jin
2008 — conf
A Simple WordNet-Ontology Based Email Retrieval System for Digital Forensics.
ISI Workshops
Phan Thien Son, Lan Du, Huidong Jin, Olivier Y. de Vel, Nianjun Liu, Terry Caelli
2008 C conf
A latent semantic indexing and WordNet based information retrieval model for digital forensics.
ISI
Lan Du, Huidong Jin, Olivier Y. de Vel, Nianjun Liu
2008 Misc conf
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