![](https://dblp.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
default search action
Lan Du 0002
Person information
- affiliation: Monash University, Faculty of Information Technology, Melbourne, Australia
- affiliation (2011 - 2015): Macquarie University, Department of Computing, Sydney, Australia
- affiliation (PhD 2012): Australian National University, College of Engineering and Computer Science, Canberra, Australia
- affiliation (2008 - 2011): NICTA Canberra Lab, Canberra, Australia
Other persons with the same name
- Lan Du — disambiguation page
- Lan Du 0001
— Xidian University, National Lab of Radar Signal Processing, Xi'an, China (and 2 more)
Refine list
![note](https://dblp.uni-trier.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j31]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: 111300 (2024) - [j30]Zhiqiang Bao
, Zhenhua Huang, Jianping Gou
, Lan Du, Kang Liu, Jingtao Zhou, Yunwen Chen:
Teacher-student complementary sample contrastive distillation. Neural Networks 170: 176-189 (2024) - [j29]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): 3463-3479 (2024) - [j28]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: 258-269 (2024) - [j27]Jianping Gou
, Xin He
, Lan Du
, Baosheng Yu, Wenbai Chen
, Zhang Yi
:
Hierarchical Locality-Aware Deep Dictionary Learning for Classification. IEEE Trans. Multim. 26: 447-461 (2024) - [j26]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: 1319-1332 (2024) - [j25]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: 7901-7916 (2024) - [j24]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): 6718-6730 (2024) - [j23]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): 10973-10983 (2024) - [c46]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: 15240-15248 - [i37]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 abs/2401.07395 (2024) - [i36]Lin Li, Jianping Gou, Baosheng Yu, Lan Du, Zhang Yi, Dacheng Tao:
Federated Distillation: A Survey. CoRR abs/2404.08564 (2024) - [i35]Myong Chol Jung, He Zhao, Joanna Dipnall, Belinda Gabbe, Lan Du:
Enhancing Near OOD Detection in Prompt Learning: Maximum Gains, Minimal Costs. CoRR abs/2405.16091 (2024) - [i34]Jueqing Lu, Lan Du, Wray L. Buntine, Myong Chol Jung, Joanna Dipnall, Belinda Gabbe:
Navigating Conflicting Views: Harnessing Trust for Learning. CoRR abs/2406.00958 (2024) - [i33]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 abs/2406.09008 (2024) - 2023
- [j22]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): 1857-1874 (2023) - [j21]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: 105228 (2023) - [j20]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): 363-376 (2023) - [j19]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: 364-376 (2023) - [c45]Ngoc Dang Nguyen, Wei Tan, Lan Du, Wray L. Buntine
, Richard Beare, Changyou Chen:
AUC Maximization for Low-Resource Named Entity Recognition. AAAI 2023: 13389-13399 - [c44]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: 114-125 - [c43]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: 176-188 - [c42]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: 12725-12734 - [c41]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: 1241-1246 - [c40]Myong Chol Jung, He Zhao, Joanna Dipnall, Lan Du:
Beyond Unimodal: Generalising Neural Processes for Multimodal Uncertainty Estimation. NeurIPS 2023 - [i32]Myong Chol Jung, He Zhao, Joanna Dipnall, Belinda Gabbe, Lan Du:
Multimodal Neural Processes for Uncertainty Estimation. CoRR abs/2304.01518 (2023) - [i31]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 abs/2304.05578 (2023) - [i30]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 abs/2304.07499 (2023) - [i29]Xiaohao Yang, He Zhao, Dinh Phung, Lan Du:
Towards Generalising Neural Topical Representations. CoRR abs/2307.12564 (2023) - [i28]Haocheng Luo, Wei Tan, Ngoc Dang Nguyen, Lan Du:
Re-weighting Tokens: A Simple and Effective Active Learning Strategy for Named Entity Recognition. CoRR abs/2311.00906 (2023) - [i27]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 abs/2311.04918 (2023) - [i26]Wei Tan, Lan Du, Wray L. Buntine:
Bayesian Estimate of Mean Proper Scores for Diversity-Enhanced Active Learning. CoRR abs/2312.10116 (2023) - 2022
- [j18]Jianping Gou
, Liyuan Sun
, Lan Du
, Hongxing Ma, Taisong Xiong, Weihua Ou
, Yongzhao Zhan
:
A representation coefficient-based k-nearest centroid neighbor classifier. Expert Syst. Appl. 194: 116529 (2022) - [j17]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): 81:1-81:15 (2022) - [j16]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): 25308-25322 (2022) - [c39]Stella Ho
, Ming Liu, Lan Du
, Yunfeng Li, Longxiang Gao, Shang Gao:
Semi-supervised Continual Learning with Meta Self-training. CIKM 2022: 4024-4028 - [c38]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: 4063-4071 - [c37]Erxin Yu, Lan Du, Yuan Jin, Zhepei Wei, Yi Chang:
Learning Semantic Textual Similarity via Topic-informed Discrete Latent Variables. EMNLP 2022: 4937-4948 - [c36]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 - [i25]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 abs/2210.02676 (2022) - [i24]Erxin Yu, Lan Du, Yuan Jin, Zhepei Wei, Yi Chang:
Learning Semantic Textual Similarity via Topic-informed Discrete Latent Variables. CoRR abs/2211.03616 (2022) - [i23]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 abs/2211.05980 (2022) - [i22]Ngoc Dang Nguyen, Wei Tan
, Wray L. Buntine, Richard Beare
, Changyou Chen, Lan Du:
AUC Maximization for Low-Resource Named Entity Recognition. CoRR abs/2212.04800 (2022) - [i21]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 abs/2212.12139 (2022) - 2021
- [j15]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): 505-532 (2021) - [j14]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): 155014772110570 (2021) - [j13]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): 3144-3173 (2021) - [j12]Man Wu, Shirui Pan, Lan Du
, Xingquan Zhu
:
Learning Graph Neural Networks with Positive and Unlabeled Nodes. ACM Trans. Knowl. Discov. Data 15(6): 101:1-101:25 (2021) - [c35]Yuan Jin, He Zhao, Ming Liu, Lan Du
, Wray L. Buntine:
Neural Attention-Aware Hierarchical Topic Model. EMNLP (1) 2021: 1042-1052 - [c34]Fahimeh Saleh, Wray L. Buntine, Gholamreza Haffari, Lan Du
:
Multilingual Neural Machine Translation: Can Linguistic Hierarchies Help? EMNLP (Findings) 2021: 1313-1330 - [c33]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: 3334-3340 - [c32]Jiaxin Ju
, Ming Liu, Huan Yee Koh
, Yuan Jin, Lan Du
, Shirui Pan:
Leveraging Information Bottleneck for Scientific Document Summarization. EMNLP (Findings) 2021: 4091-4098 - [c31]He Zhao, Dinh Q. Phung, Viet Huynh, Yuan Jin, Lan Du, Wray L. Buntine
:
Topic Modelling Meets Deep Neural Networks: A Survey. IJCAI 2021: 4713-4720 - [c30]Wei Tan, Lan Du, Wray L. Buntine:
Diversity Enhanced Active Learning with Strictly Proper Scoring Rules. NeurIPS 2021: 10906-10918 - [c29]Maximillian Merrillees, Lan Du
:
Stratified Sampling for Extreme Multi-label Data. PAKDD (2) 2021: 334-345 - [i20]Liyuan Sun, Jianping Gou, Baosheng Yu, Lan Du, Dacheng Tao:
Collaborative Teacher-Student Learning via Multiple Knowledge Transfer. CoRR abs/2101.08471 (2021) - [i19]He Zhao
, Dinh Phung, Viet Huynh, Yuan Jin, Lan Du, Wray L. Buntine:
Topic Modelling Meets Deep Neural Networks: A Survey. CoRR abs/2103.00498 (2021) - [i18]Maximillian Merrillees, Lan Du:
Stratified Sampling for Extreme Multi-Label Data. CoRR abs/2103.03494 (2021) - [i17]Man Wu, Shirui Pan, Lan Du, Xingquan Zhu:
Learning Graph Neural Networks with Positive and Unlabeled Nodes. CoRR abs/2103.04683 (2021) - [i16]Stella Ho, Ming Liu, Lan Du, Longxiang Gao, Yong Xiang:
Prototypes-Guided Memory Replay for Continual Learning. CoRR abs/2108.12641 (2021) - [i15]Jiaxin Ju, Ming Liu, Huan Yee Koh, Yuan Jin, Lan Du, Shirui Pan:
Leveraging Information Bottleneck for Scientific Document Summarization. CoRR abs/2110.01280 (2021) - [i14]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 abs/2110.07160 (2021) - [i13]Yuan Jin, He Zhao, Ming Liu, Lan Du, Wray L. Buntine:
Neural Attention-Aware Hierarchical Topic Model. CoRR abs/2110.07161 (2021) - [i12]Fahimeh Saleh, Wray L. Buntine, Gholamreza Haffari, Lan Du:
Multilingual Neural Machine Translation: Can Linguistic Hierarchies Help? CoRR abs/2110.07816 (2021) - [i11]Wei Tan, Lan Du, Wray L. Buntine:
Diversity Enhanced Active Learning with Strictly Proper Scoring Rules. CoRR abs/2110.14171 (2021) - 2020
- [j11]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: 106632 (2020) - [c28]He Zhao, Piyush Rai, Lan Du, Wray L. Buntine
, Dinh Phung, Mingyuan Zhou
:
Variational Autoencoders for Sparse and Overdispersed Discrete Data. AISTATS 2020: 1684-1694 - [c27]Jueqing Lu, Lan Du
, Ming Liu, Joanna Dipnall:
Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs. EMNLP (1) 2020: 2935-2943 - [c26]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: 1949-1952 - [i10]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 abs/2002.09145 (2020) - [i9]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 abs/2007.08954 (2020) - [i8]Jueqing Lu, Lan Du, Ming Liu, Joanna Dipnall:
Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs. CoRR abs/2010.07459 (2020)
2010 – 2019
- 2019
- [j10]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) - [j9]He Zhao, Lan Du
, Wray L. Buntine
, Gang Liu
:
Leveraging external information in topic modelling. Knowl. Inf. Syst. 61(2): 661-693 (2019) - [c25]He Zhao, Lan Du
, Guanfeng Liu
, Wray L. Buntine
:
Leveraging Meta Information in Short Text Aggregation. ACL (1) 2019: 4042-4049 - [c24]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: 2157-2160 - [i7]He Zhao, Piyush Rai, Lan Du, Wray L. Buntine, Mingyuan Zhou:
Variational Autoencoders for Sparse and Overdispersed Discrete Data. CoRR abs/1905.00616 (2019) - [i6]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 abs/1910.05570 (2019) - 2018
- [j8]Jianping Gou
, Zhang Yi
, David Zhang, Yongzhao Zhan, Xiangjun Shen, Lan Du
:
Sparsity and Geometry Preserving Graph Embedding for Dimensionality Reduction. IEEE Access 6: 75748-75766 (2018) - [j7]Jianping Gou
, Yong Xu, David Zhang
, Qirong Mao, Lan Du, Yongzhao Zhan:
Two-phase linear reconstruction measure-based classification for face recognition. Inf. Sci. 433-434: 17-36 (2018) - [c23]He Zhao, Piyush Rai, Lan Du, Wray L. Buntine:
Bayesian Multi-label Learning with Sparse Features and Labels, and Label Co-occurrences. AISTATS 2018: 1943-1951 - [c22]He Zhao, Lan Du, Wray L. Buntine, Mingyuan Zhou
:
Inter and Intra Topic Structure Learning with Word Embeddings. ICML 2018: 5887-5896 - [c21]He Zhao, Lan Du, Wray L. Buntine, Mingyuan Zhou:
Dirichlet belief networks for topic structure learning. NeurIPS 2018: 7966-7977 - [c20]Yuan Jin, Lan Du
, Ye Zhu
, Mark J. Carman
:
Leveraging Label Category Relationships in Multi-class Crowdsourcing. PAKDD (2) 2018: 128-140 - [i5]Dat Quoc Nguyen, Richard Billingsley, Lan Du, Mark Johnson:
Improving Topic Models with Latent Feature Word Representations. CoRR abs/1810.06306 (2018) - [i4]He Zhao, Lan Du, Wray L. Buntine, Mingyuan Zhou:
Dirichlet belief networks for topic structure learning. CoRR abs/1811.00717 (2018) - 2017
- [c19]Shervin Malmasi, Mark Dras
, Mark Johnson
, Lan Du
, Magdalena Wolska:
Unsupervised Text Segmentation Based on Native Language Characteristics. ACL (1) 2017: 1457-1469 - [c18]He Zhao, Lan Du, Wray L. Buntine:
A Word Embeddings Informed Focused Topic Model. ACML 2017: 423-438 - [c17]He Zhao, Lan Du
, Wray L. Buntine
, Gang Liu
:
MetaLDA: A Topic Model that Efficiently Incorporates Meta Information. ICDM 2017: 635-644 - [c16]He Zhao, Lan Du, Wray L. Buntine:
Leveraging Node Attributes for Incomplete Relational Data. ICML 2017: 4072-4081 - [c15]Huiwen Liu, Jiajie Xu, Kai Zheng, Chengfei Liu
, Lan Du
, Xian Wu:
Semantic-aware Query Processing for Activity Trajectories. WSDM 2017: 283-292 - [r1]Zahraa Said Abdallah, Lan Du, Geoffrey I. Webb:
Data Preparation. Encyclopedia of Machine Learning and Data Mining 2017: 318-327 - [i3]He Zhao, Lan Du, Wray L. Buntine:
Leveraging Node Attributes for Incomplete Relational Data. CoRR abs/1706.04289 (2017) - [i2]He Zhao, Lan Du, Wray L. Buntine, Gang Liu:
MetaLDA: a Topic Model that Efficiently Incorporates Meta information. CoRR abs/1709.06365 (2017) - 2016
- [j6]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: 172-191 (2016) - [c14]Jianping Gou
, Lan Du
, Keyang Cheng, Yingfeng Cai:
Discriminative sparsity preserving graph embedding. CEC 2016: 4250-4257 - [i1]Kar Wai Lim, Wray L. Buntine, Changyou Chen, Lan Du:
Nonparametric Bayesian Topic Modelling with the Hierarchical Pitman-Yor Processes. CoRR abs/1609.06783 (2016) - 2015
- [j5]Changyou Chen, Wray L. Buntine
, Nan Ding, Lexing Xie
, Lan Du
:
Differential Topic Models. IEEE Trans. Pattern Anal. Mach. Intell. 37(2): 230-242 (2015) - [j4]Dat Quoc Nguyen, Richard Billingsley, Lan Du, Mark Johnson:
Improving Topic Models with Latent Feature Word Representations. Trans. Assoc. Comput. Linguistics 3: 299-313 (2015) - [c13]Lan Du, John K. Pate, Mark Johnson:
Topic Segmentation with an Ordering-Based Topic Model. AAAI 2015: 2232-2238 - [c12]Zhendong Zhao, Lan Du, Benjamin Börschinger, John K. Pate, Massimiliano Ciaramita, Mark Steedman, Mark Johnson
:
A Computationally Efficient Algorithm for Learning Topical Collocation Models. ACL (1) 2015: 1460-1469 - [c11]Lan Du, Anish Kumar, Mark Johnson, Massimiliano Ciaramita:
Using Entity Information from a Knowledge Base to Improve Relation Extraction. ALTA 2015: 31-38 - 2014
- [c10]Lan Du
, John K. Pate, Mark Johnson
:
Topic Models with Topic Ordering Regularities for Topic Segmentation. ICDM 2014: 803-808 - 2013
- [c9]Lan Du, Wray L. Buntine, Mark Johnson:
Topic Segmentation with a Structured Topic Model. HLT-NAACL 2013: 190-200 - [c8]Huidong Jin
, Lijiu Zhang, Lan Du
:
Semantic Title Evaluation and Recommendation Based on Topic Models. PAKDD (2) 2013: 402-413 - [c7]Youliang Zhong, Lan Du
, Jian Yang
:
Learning Social Relationship Strength via Matrix Co-Factorization with Multiple Kernels. WISE (1) 2013: 15-28 - 2012
- [j3]Jianping Gou
, Zhang Yi, Lan Du
, Taisong Xiong:
A Local Mean-Based k-Nearest Centroid Neighbor Classifier. Comput. J. 55(9): 1058-1071 (2012) - [j2]Lan Du
, Wray L. Buntine
, Huidong Jin
, Changyou Chen:
Sequential latent Dirichlet allocation. Knowl. Inf. Syst. 31(3): 475-503 (2012) - [c6]Lan Du, Wray L. Buntine, Huidong Jin:
Modelling Sequential Text with an Adaptive Topic Model. EMNLP-CoNLL 2012: 535-545 - 2011
- [c5]Changyou Chen, Lan Du
, Wray L. Buntine
:
Sampling Table Configurations for the Hierarchical Poisson-Dirichlet Process. ECML/PKDD (1) 2011: 296-311 - 2010
- [j1]Lan Du
, Wray L. Buntine
, Huidong Jin
:
A segmented topic model based on the two-parameter Poisson-Dirichlet process. Mach. Learn. 81(1): 5-19 (2010) - [c4]Lan Du
, Wray Lindsay Buntine
, Huidong Jin
:
Sequential Latent Dirichlet Allocation: Discover Underlying Topic Structures within a Document. ICDM 2010: 148-157
2000 – 2009
- 2008
- [c3]Junlei Song, Dianhong Wang, Nianjun Liu, Li Cheng
, Lan Du
, Ke Zhang:
Soil Moisture Prediction with Feature Selection Using a Neural Network. DICTA 2008: 130-136 - [c2]Lan Du
, Huidong Jin
, Olivier Y. de Vel, Nianjun Liu:
A latent semantic indexing and WordNet based information retrieval model for digital forensics. ISI 2008: 70-75 - [c1]Phan Thien Son, Lan Du
, Huidong Jin
, Olivier Y. de Vel, Nianjun Liu, Terry Caelli
:
A Simple WordNet-Ontology Based Email Retrieval System for Digital Forensics. ISI Workshops 2008: 217-228
Coauthor Index
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-09-10 02:12 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint