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ORCIDLan 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
![[0000-0002-4503-0022]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-4503-0022")
— Xidian University, National Lab of Radar Signal Processing, Xi'an, China (and 2 more)
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2020 – today
- 2024
[j32]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)- [j31]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) - [j30]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) - [j29]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) - [j28]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) - [j27]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) - [j26]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) - [j25]Jianping Gou, Xiabin Zhou, Lan Du, Yibing Zhan, Wu Chen, Zhang Yi:
Difference-Aware Distillation for Semantic Segmentation. IEEE Trans. Multim. 26: 10069-10080 (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) - [c48]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 - [c47]Jingyu Lin, Guiqin Zhao, Jing Xu, Guoli Wang, Zejin Wang, Antitza Dantcheva, Lan Du, Cunjian Chen:
DiffTV: Identity-Preserved Thermal-to-Visible Face Translation via Feature Alignment and Dual-Stage Conditions. ACM Multimedia 2024: 10930-10938 - [c46]Hongfang Zhu, Jianping Gou, Lan Du, Weihua Ou:
Inter-Class Correlation-Based Online Knowledge Distillation. PRCV (1) 2024: 195-208 - [i39]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) - [i38]Lin Li, Jianping Gou, Baosheng Yu, Lan Du, Zhang Yi, Dacheng Tao:
Federated Distillation: A Survey. CoRR abs/2404.08564 (2024) - [i37]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) - [i36]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) - [i35]Yixin Huang, Yiqi Jin, Ke Tao, Kaijian Xia, Jianfeng Gu, Lei Yu, Lan Du, Cunjian Chen:
MTS-Net: Dual-Enhanced Positional Multi-Head Self-Attention for 3D CT Diagnosis of May-Thurner Syndrome. CoRR abs/2406.04680 (2024) - [i34]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) - [i33]Zeyu Wang, Jingyu Lin, Yifei Qian, Yi Huang, Shicen Tian, Bosong Chai, Juncan Deng, Lan Du, Cunjian Chen, Yufei Guo, Kejie Huang:
DiffX: Guide Your Layout to Cross-Modal Generative Modeling. CoRR abs/2407.15488 (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
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last updated on 2024-12-02 22:34 CET by the dblp team
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