Lan Du

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 96

Top Venues

Publications

Wei Tan, Ngoc Dang Nguyen, Lan Du, Wray L. Buntine
Harnessing the Power of Beta Scoring in Deep Active Learning for Multi-Label Text Classification. CoRR (2024)
Wei Tan, Lan Du, Wray L. Buntine
Bayesian Estimate of Mean Proper Scores for Diversity-Enhanced Active Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46 (5) (2024)
Jianping Gou, Nannan Xie, Yunhao Yuan, Lan Du, Weihua Ou, Zhang Yi
Reconstructed Graph Constrained Auto-Encoders for Multi-View Representation Learning. IEEE Trans. Multim. 26 (2024)
Wei Tan, Ngoc Dang Nguyen, Lan Du, Wray L. Buntine
Harnessing the Power of Beta Scoring in Deep Active Learning for Multi-Label Text Classification. AAAI (2024)
Zhiqiang Bao, Zhenhua Huang, Jianping Gou, Lan Du, Kang Liu, Jingtao Zhou, Yunwen Chen
Teacher-student complementary sample contrastive distillation. Neural Networks 170 (2024)
Stella Ho, Ming Liu, Lan Du, Longxiang Gao, Yong Xiang
Prototype-Guided Memory Replay for Continual Learning. IEEE Trans. Neural Networks Learn. Syst. 35 (8) (2024)
Jianping Gou, Yu Chen, Baosheng Yu, Jinhua Liu, Lan Du, Shaohua Wan, Zhang Yi
Reciprocal Teacher-Student Learning via Forward and Feedback Knowledge Distillation. IEEE Trans. Multim. 26 (2024)
Jionghao Lin, Wei Tan, Lan Du, Wray L. Buntine, David Lang, Dragan Gasevic, Guanliang Chen
Enhancing Educational Dialogue Act Classification With Discourse Context and Sample Informativeness. IEEE Trans. Learn. Technol. 17 (2024)
Fucai Ke, Weiqing Wang, Weicong Tan, Lan Du, Yuan Jin, Yujin Huang, Hongzhi Yin
HiTSKT: A hierarchical transformer model for session-aware knowledge tracing. Knowl. Based Syst. 284 (2024)
Jianping Gou, Xin He, Lan Du, Baosheng Yu, Wenbai Chen, Zhang Yi
Hierarchical Locality-Aware Deep Dictionary Learning for Classification. IEEE Trans. Multim. 26 (2024)
Myong Chol Jung, He Zhao, Joanna Dipnall, Belinda Gabbe, Lan Du
Enhancing Near OOD Detection in Prompt Learning: Maximum Gains, Minimal Costs. CoRR (2024)
Lin Li, Jianping Gou, Baosheng Yu, Lan Du, Zhang Yi, Dacheng Tao
Federated Distillation: A Survey. CoRR (2024)
Xiaohao Yang, He Zhao, Dinh Q. Phung, Wray L. Buntine, Lan Du
LLM Reading Tea Leaves: Automatically Evaluating Topic Models with Large Language Models. CoRR (2024)
Jueqing Lu, Lan Du, Wray L. Buntine, Myong Chol Jung, Joanna Dipnall, Belinda Gabbe
Navigating Conflicting Views: Harnessing Trust for Learning. CoRR (2024)
Jianping Gou, Liyuan Sun, Baosheng Yu, Lan Du, Kotagiri Ramamohanarao, Dacheng Tao
Collaborative Knowledge Distillation via Multiknowledge Transfer. IEEE Trans. Neural Networks Learn. Syst. 35 (5) (2024)
Ngoc Dang Nguyen, Wei Tan, Lan Du, Wray L. Buntine, Richard Beare, Changyou Chen
AUC Maximization for Low-Resource Named Entity Recognition. AAAI (2023)
Myong Chol Jung, He Zhao, Joanna Dipnall, Belinda Gabbe, Lan Du
Multimodal Neural Processes for Uncertainty Estimation. CoRR (2023)
Ngoc Dang Nguyen, Wei Tan, Lan Du, Wray L. Buntine, Richard Beare, Changyou Chen
Low-Resource Named Entity Recognition: Can One-vs-All AUC Maximization Help? CoRR (2023)
Myong Chol Jung, He Zhao, Joanna Dipnall, Lan Du
Beyond Unimodal: Generalising Neural Processes for Multimodal Uncertainty Estimation. NeurIPS (2023)
Jionghao Lin, Wei Tan, Ngoc Dang Nguyen, David Lang, Lan Du, Wray L. Buntine, Richard Beare, Guanliang Chen, Dragan Gasevic
Robust Educational Dialogue Act Classifiers with Low-Resource and Imbalanced Datasets. AIED (2023)
Haocheng Luo, Wei Tan, Ngoc Dang Nguyen, Lan Du
Re-weighting Tokens: A Simple and Effective Active Learning Strategy for Named Entity Recognition. CoRR (2023)
Haocheng Luo, Wei Tan, Ngoc Dang Nguyen, Lan Du
Re-weighting Tokens: A Simple and Effective Active Learning Strategy for Named Entity Recognition. EMNLP (Findings) (2023)
Yitayeh Belsti, Lisa Moran, Lan Du, Aya Mousa, Kushan De Silva, Joanne Enticott, Helena Teede
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 179 (2023)
Jianping Gou, Xiangshuo Xiong, Hongwei Wu, Lan Du, Shaoning Zeng, Yunhao Yuan, Weihua Ou
Locality-constrained weighted collaborative-competitive representation for classification. Int. J. Mach. Learn. Cybern. 14 (2) (2023)
Jianping Gou, Xia Yuan, Ya Xue, Lan Du, Jiali Yu, Shuyin Xia, Zhang Yi
Discriminative and Geometry-Preserving Adaptive Graph Embedding for dimensionality reduction. Neural Networks 157 (2023)
Wei Tan, Jionghao Lin, David Lang, Guanliang Chen, Dragan Gasevic, Lan Du, Wray L. Buntine
Does Informativeness Matter? Active Learning for Educational Dialogue Act Classification. CoRR (2023)
Wei Tan, Jionghao Lin, David Lang, Guanliang Chen, Dragan Gasevic, Lan Du, Wray L. Buntine
Does Informativeness Matter? Active Learning for Educational Dialogue Act Classification. AIED (2023)
Xiaohao Yang, He Zhao, Dinh Phung, Lan Du
Towards Generalising Neural Topical Representations. CoRR (2023)
Wei Tan, Lan Du, Wray L. Buntine
Bayesian Estimate of Mean Proper Scores for Diversity-Enhanced Active Learning. CoRR (2023)
Jionghao Lin, Wei Tan, Ngoc Dang Nguyen, David Lang, Lan Du, Wray L. Buntine, Richard Beare, Guanliang Chen, Dragan Gasevic
Robust Educational Dialogue Act Classifiers with Low-Resource and Imbalanced Datasets. CoRR (2023)
Ngoc Dang Nguyen, Wei Tan, Lan Du, Wray L. Buntine, Richard Beare, Changyou Chen
Low-Resource Named Entity Recognition: Can One-vs-All AUC Maximization Help? ICDM (2023)
Jianping Gou, Xiangshuo Xiong, Baosheng Yu, Lan Du, Yibing Zhan, Dacheng Tao
Multi-target Knowledge Distillation via Student Self-reflection. Int. J. Comput. Vis. 131 (7) (2023)
Myong Chol Jung, He Zhao, Joanna Dipnall, Belinda Gabbe, Lan Du
Uncertainty Estimation for Multi-view Data: The Power of Seeing the Whole Picture. NeurIPS (2022)
Erxin Yu, Lan Du, Yuan Jin, Zhepei Wei, Yi Chang
Learning Semantic Textual Similarity via Topic-informed Discrete Latent Variables. EMNLP (2022)
Junyi Chen, Lan Du, Ming Liu, Xiabing Zhou
Mulan: A Multiple Residual Article-Wise Attention Network for Legal Judgment Prediction. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21 (4) (2022)
Stella Ho, Ming Liu, Lan Du, Yunfeng Li, Longxiang Gao, Shang Gao
Semi-supervised Continual Learning with Meta Self-training. CIKM (2022)
Erxin Yu, Lan Du, Yuan Jin, Zhepei Wei, Yi Chang
Learning Semantic Textual Similarity via Topic-informed Discrete Latent Variables. CoRR (2022)
Ngoc Dang Nguyen, Lan Du, Wray L. Buntine, Changyou Chen, Richard Beare
Hardness-guided domain adaptation to recognise biomedical named entities under low-resource scenarios. CoRR (2022)
Ngoc Dang Nguyen, Lan Du, Wray L. Buntine, Changyou Chen, Richard Beare
Hardness-guided domain adaptation to recognise biomedical named entities under low-resource scenarios. EMNLP (2022)
Myong Chol Jung, He Zhao, Joanna Dipnall, Belinda Gabbe, Lan Du
Uncertainty Estimation for Multi-view Data: The Power of Seeing the Whole Picture. CoRR (2022)
Jianping Gou, Liyuan Sun, Lan Du, Hongxing Ma, Taisong Xiong, Weihua Ou, Yongzhao Zhan
-nearest centroid neighbor classifier. Expert Syst. Appl. 194 (2022)
Jianping Gou, Xia Yuan, Lan Du, Shuyin Xia, Zhang Yi
Hierarchical Graph Augmented Deep Collaborative Dictionary Learning for Classification. IEEE Trans. Intell. Transp. Syst. 23 (12) (2022)
Fucai Ke, Weiqing Wang, Weicong Tan, Lan Du, Yuan Jin, Yujin Huang, Hongzhi Yin
HiTSKT: A Hierarchical Transformer Model for Session-Aware Knowledge Tracing. CoRR (2022)
Ngoc Dang Nguyen, Wei Tan, Wray L. Buntine, Richard Beare, Changyou Chen, Lan Du
AUC Maximization for Low-Resource Named Entity Recognition. CoRR (2022)
Yuan Jin, Ming Liu, Yunfeng Li, Ruohua Xu, Lan Du, Longxiang Gao, Yong Xiang
Variational auto-encoder based Bayesian Poisson tensor factorization for sparse and imbalanced count data. Data Min. Knowl. Discov. 35 (2) (2021)
Maximillian Merrillees, Lan Du
Stratified Sampling for Extreme Multi-Label Data. CoRR (2021)
Fahimeh Saleh, Wray L. Buntine, Gholamreza Haffari, Lan Du
Multilingual Neural Machine Translation: Can Linguistic Hierarchies Help? CoRR (2021)
Liyuan Sun, Jianping Gou, Baosheng Yu, Lan Du, Dacheng Tao
Collaborative Teacher-Student Learning via Multiple Knowledge Transfer. CoRR (2021)
Jiaxin Ju, Ming Liu, Huan Yee Koh, Yuan Jin, Lan Du, Shirui Pan
Leveraging Information Bottleneck for Scientific Document Summarization. EMNLP (Findings) (2021)
Wei Tan, Lan Du, Wray L. Buntine
Diversity Enhanced Active Learning with Strictly Proper Scoring Rules. NeurIPS (2021)
Stella Ho, Ming Liu, Lan Du, Longxiang Gao, Yong Xiang
Prototypes-Guided Memory Replay for Continual Learning. CoRR (2021)
Man Wu, Shirui Pan, Lan Du, Xingquan Zhu
Learning Graph Neural Networks with Positive and Unlabeled Nodes. CoRR (2021)
Yuan Jin, He Zhao, Ming Liu, Lan Du, Wray L. Buntine
Neural Attention-Aware Hierarchical Topic Model. EMNLP (1) (2021)
Jiaxin Ju, Ming Liu, Huan Yee Koh, Yuan Jin, Lan Du, Shirui Pan
Leveraging Information Bottleneck for Scientific Document Summarization. CoRR (2021)
Kelvin Lo, Yuan Jin, Weicong Tan, Ming Liu, Lan Du, Wray L. Buntine
Transformer over Pre-trained Transformer for Neural Text Segmentation with Enhanced Topic Coherence. CoRR (2021)
Wei Tan, Lan Du, Wray L. Buntine
Diversity Enhanced Active Learning with Strictly Proper Scoring Rules. CoRR (2021)
Yiting Li, Liyuan Sun, Jianping Gou, Lan Du, Weihua Ou
Feature fusion-based collaborative learning for knowledge distillation. Int. J. Distributed Sens. Networks 17 (11) (2021)
Jianping Gou, Jun Song, Lan Du, Shaoning Zeng, Yongzhao Zhan, Zhang Yi
Class mean-weighted discriminative collaborative representation for classification. Int. J. Intell. Syst. 36 (7) (2021)
He Zhao, Dinh Q. Phung, Viet Huynh, Yuan Jin, Lan Du, Wray L. Buntine
Topic Modelling Meets Deep Neural Networks: A Survey. IJCAI (2021)
Maximillian Merrillees, Lan Du
Stratified Sampling for Extreme Multi-label Data. PAKDD (2) (2021)
Fahimeh Saleh, Wray L. Buntine, Gholamreza Haffari, Lan Du
Multilingual Neural Machine Translation: Can Linguistic Hierarchies Help? EMNLP (Findings) (2021)
Yuan Jin, He Zhao, Ming Liu, Lan Du, Wray L. Buntine
Neural Attention-Aware Hierarchical Topic Model. CoRR (2021)
He Zhao, Dinh Phung, Viet Huynh, Yuan Jin, Lan Du, Wray L. Buntine
Topic Modelling Meets Deep Neural Networks: A Survey. CoRR (2021)
Kelvin Lo, Yuan Jin, Weicong Tan, Ming Liu, Lan Du, Wray L. Buntine
Transformer over Pre-trained Transformer for Neural Text Segmentation with Enhanced Topic Coherence. EMNLP (Findings) (2021)
Man Wu, Shirui Pan, Lan Du, Xingquan Zhu
Learning Graph Neural Networks with Positive and Unlabeled Nodes. ACM Trans. Knowl. Discov. Data 15 (6) (2021)
Jueqing Lu, Lan Du, Ming Liu, Joanna Dipnall
Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs. EMNLP (1) (2020)
Jinming Zhao, Ming Liu, Longxiang Gao, Yuan Jin, Lan Du, He Zhao, He Zhang, Gholamreza Haffari
SummPip: Unsupervised Multi-Document Summarization with Sentence Graph Compression. CoRR (2020)
Jianping Gou, Hongwei Wu, Heping Song, Lan Du, Weihua Ou, Shaoning Zeng, Jia Ke
Double Competitive Constraints-Based Collaborative Representation for Pattern Classification. Comput. Electr. Eng. 84 (2020)
Jueqing Lu, Lan Du, Ming Liu, Joanna Dipnall
Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs. CoRR (2020)
Jinming Zhao, Ming Liu, Longxiang Gao, Yuan Jin, Lan Du, He Zhao, He Zhang, Gholamreza Haffari
SummPip: Unsupervised Multi-Document Summarization with Sentence Graph Compression. SIGIR (2020)
Yuan Jin, He Zhao, Ming Liu, Lan Du, Yunfeng Li, Ruohua Xu, Longxiang Gao
Leveraging Cross Feedback of User and Item Embeddings for Variational Autoencoder based Collaborative Filtering. CoRR (2020)
He Zhao, Piyush Rai, Lan Du, Wray L. Buntine, Dinh Phung, Mingyuan Zhou
Variational Autoencoders for Sparse and Overdispersed Discrete Data. AISTATS (2020)
He Zhao, Lan Du, Wray L. Buntine, Gang Liu
Leveraging external information in topic modelling. Knowl. Inf. Syst. 61 (2) (2019)
Man Wu, Shirui Pan, Lan Du, Ivor W. Tsang, Xingquan Zhu, Bo Du
Long-short Distance Aggregation Networks for Positive Unlabeled Graph Learning. CIKM (2019)
He Zhao, Lan Du, Guanfeng Liu, Wray L. Buntine
Leveraging Meta Information in Short Text Aggregation. ACL (1) (2019)
Jianping Gou, Jun Song, Weihua Ou, Shaoning Zeng, Yun-Hao Yuan, Lan Du
Representation-based classification methods with enhanced linear reconstruction measures for face recognition. Comput. Electr. Eng. 79 (2019)
He Zhao, Piyush Rai, Lan Du, Wray L. Buntine, Mingyuan Zhou
Variational Autoencoders for Sparse and Overdispersed Discrete Data. CoRR (2019)
Yuan Jin, Lan Du, Longxiang Gao, Yong Xiang, Yunfeng Li, Ruohua Xu
Variational Auto-encoder Based Bayesian Poisson Tensor Factorization for Sparse and Imbalanced Count Data. CoRR (2019)
He Zhao, Lan Du, Wray L. Buntine, Mingyuan Zhou
Dirichlet belief networks for topic structure learning. NeurIPS (2018)
Dat Quoc Nguyen, Richard Billingsley, Lan Du, Mark Johnson
Improving Topic Models with Latent Feature Word Representations. CoRR (2018)
Jianping Gou, Yong Xu, David Zhang, Qirong Mao, Lan Du, Yongzhao Zhan
Two-phase linear reconstruction measure-based classification for face recognition. Inf. Sci. (2018)
He Zhao, Piyush Rai, Lan Du, Wray L. Buntine
Bayesian Multi-label Learning with Sparse Features and Labels, and Label Co-occurrences. AISTATS (2018)
Yuan Jin, Lan Du, Ye Zhu, Mark J. Carman
Leveraging Label Category Relationships in Multi-class Crowdsourcing. PAKDD (2) (2018)
He Zhao, Lan Du, Wray L. Buntine, Mingyuan Zhou
Dirichlet belief networks for topic structure learning. CoRR (2018)
He Zhao, Lan Du, Wray L. Buntine, Mingyuan Zhou
Inter and Intra Topic Structure Learning with Word Embeddings. ICML (2018)
Jianping Gou, Zhang Yi, David Zhang, Yongzhao Zhan, Xiangjun Shen, Lan Du
Sparsity and Geometry Preserving Graph Embedding for Dimensionality Reduction. IEEE Access 6 (2018)
Shervin Malmasi, Mark Dras, Mark Johnson, Lan Du, Magdalena Wolska
Unsupervised Text Segmentation Based on Native Language Characteristics. ACL (1) (2017)
He Zhao, Lan Du, Wray L. Buntine
Leveraging Node Attributes for Incomplete Relational Data. CoRR (2017)
He Zhao, Lan Du, Wray L. Buntine
Leveraging Node Attributes for Incomplete Relational Data. ICML (2017)
He Zhao, Lan Du, Wray L. Buntine
A Word Embeddings Informed Focused Topic Model. ACML (2017)
He Zhao, Lan Du, Wray L. Buntine, Gang Liu
MetaLDA: a Topic Model that Efficiently Incorporates Meta information. CoRR (2017)
He Zhao, Lan Du, Wray L. Buntine, Gang Liu
MetaLDA: A Topic Model that Efficiently Incorporates Meta Information. ICDM (2017)
Huiwen Liu, Jiajie Xu, Kai Zheng, Chengfei Liu, Lan Du, Xian Wu
Semantic-aware Query Processing for Activity Trajectories. WSDM (2017)
Jianping Gou, Lan Du, Keyang Cheng, Yingfeng Cai
Discriminative sparsity preserving graph embedding. CEC (2016)
Kar Wai Lim, Wray L. Buntine, Changyou Chen, Lan Du
Nonparametric Bayesian topic modelling with the hierarchical Pitman-Yor processes. Int. J. Approx. Reason. 78 (2016)
Kar Wai Lim, Wray L. Buntine, Changyou Chen, Lan Du
Nonparametric Bayesian Topic Modelling with the Hierarchical Pitman-Yor Processes. CoRR (2016)
Dat Quoc Nguyen, Richard Billingsley, Lan Du, Mark Johnson
Improving Topic Models with Latent Feature Word Representations. Trans. Assoc. Comput. Linguistics 3 (2015)
Changyou Chen, Wray L. Buntine, Nan Ding, Lexing Xie, Lan Du
Differential Topic Models. IEEE Trans. Pattern Anal. Mach. Intell. 37 (2) (2015)
Lan Du, John K. Pate, Mark Johnson
Topic Segmentation with an Ordering-Based Topic Model. AAAI (2015)
Lan Du, Anish Kumar, Mark Johnson, Massimiliano Ciaramita
Using Entity Information from a Knowledge Base to Improve Relation Extraction. ALTA (2015)

Lan Du.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Lan Du