Lan Du

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Difference-Aware Distillation for Semantic Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2024

Reconstructed Graph Constrained Auto-Encoders for Multi-View Representation Learning.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2024

Hierarchical Locality-Aware Deep Dictionary Learning for Classification.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2024

Reciprocal Teacher-Student Learning via Forward and Feedback Knowledge Distillation.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2024

Enhancing Educational Dialogue Act Classification With Discourse Context and Sample Informativeness.

[BibT_eX]

[DOI]

IEEE Trans. Learn. Technol., 2024

Teacher-student complementary sample contrastive distillation.

[BibT_eX]

[DOI]

Neural Networks, 2024

HiTSKT: A hierarchical transformer model for session-aware knowledge tracing.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2024

DiffX: Guide Your Layout to Cross-Modal Generative Modeling.

[BibT_eX]

[DOI]

CoRR, 2024

LLM Reading Tea Leaves: Automatically Evaluating Topic Models with Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

MTS-Net: Dual-Enhanced Positional Multi-Head Self-Attention for 3D CT Diagnosis of May-Thurner Syndrome.

[BibT_eX]

[DOI]

CoRR, 2024

Navigating Conflicting Views: Harnessing Trust for Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Enhancing Near OOD Detection in Prompt Learning: Maximum Gains, Minimal Costs.

[BibT_eX]

[DOI]

CoRR, 2024

Federated Distillation: A Survey.

[BibT_eX]

[DOI]

CoRR, 2024

Inter-Class Correlation-Based Online Knowledge Distillation.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

DiffTV: Identity-Preserved Thermal-to-Visible Face Translation via Feature Alignment and Dual-Stage Conditions.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Harnessing the Power of Beta Scoring in Deep Active Learning for Multi-Label Text Classification.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

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.

[BibT_eX]

[DOI]

Int. J. Medical Informatics, November, 2023

Multi-target Knowledge Distillation via Student Self-reflection.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., July, 2023

Locality-constrained weighted collaborative-competitive representation for classification.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., February, 2023

Discriminative and Geometry-Preserving Adaptive Graph Embedding for dimensionality reduction.

[BibT_eX]

[DOI]

Neural Networks, 2023

Towards Generalising Neural Topical Representations.

[BibT_eX]

[DOI]

CoRR, 2023

Multimodal Neural Processes for Uncertainty Estimation.

[BibT_eX]

[DOI]

CoRR, 2023

Beyond Unimodal: Generalising Neural Processes for Multimodal Uncertainty Estimation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Low-Resource Named Entity Recognition: Can One-vs-All AUC Maximization Help?

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

Re-weighting Tokens: A Simple and Effective Active Learning Strategy for Named Entity Recognition.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Does Informativeness Matter? Active Learning for Educational Dialogue Act Classification.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Education - 24th International Conference, 2023

Robust Educational Dialogue Act Classifiers with Low-Resource and Imbalanced Datasets.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Education - 24th International Conference, 2023

AUC Maximization for Low-Resource Named Entity Recognition.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Hierarchical Graph Augmented Deep Collaborative Dictionary Learning for Classification.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

Mulan: A Multiple Residual Article-Wise Attention Network for Legal Judgment Prediction.

[BibT_eX]

[DOI]

ACM Trans. Asian Low Resour. Lang. Inf. Process., 2022

A representation coefficient-based <i>k</i>-nearest centroid neighbor classifier.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2022

Uncertainty Estimation for Multi-view Data: The Power of Seeing the Whole Picture.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Semantic Textual Similarity via Topic-informed Discrete Latent Variables.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Hardness-guided domain adaptation to recognise biomedical named entities under low-resource scenarios.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Semi-supervised Continual Learning with Meta Self-training.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Learning Graph Neural Networks with Positive and Unlabeled Nodes.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2021

Class mean-weighted discriminative collaborative representation for classification.

[BibT_eX]

[DOI]

Int. J. Intell. Syst., 2021

Feature fusion-based collaborative learning for knowledge distillation.

[BibT_eX]

[DOI]

Int. J. Distributed Sens. Networks, 2021

Variational auto-encoder based Bayesian Poisson tensor factorization for sparse and imbalanced count data.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2021

Prototypes-Guided Memory Replay for Continual Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Collaborative Teacher-Student Learning via Multiple Knowledge Transfer.

[BibT_eX]

[DOI]

CoRR, 2021

Stratified Sampling for Extreme Multi-label Data.

[BibT_eX]

[DOI]

Maximillian Merrillees

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Diversity Enhanced Active Learning with Strictly Proper Scoring Rules.

[BibT_eX]

[DOI]

Wei Tan

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Topic Modelling Meets Deep Neural Networks: A Survey.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Multilingual Neural Machine Translation: Can Linguistic Hierarchies Help?

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Transformer over Pre-trained Transformer for Neural Text Segmentation with Enhanced Topic Coherence.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Leveraging Information Bottleneck for Scientific Document Summarization.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Neural Attention-Aware Hierarchical Topic Model.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Leveraging Cross Feedback of User and Item Embeddings for Variational Autoencoder based Collaborative Filtering.

[BibT_eX]

[DOI]

CoRR, 2020

Double Competitive Constraints-Based Collaborative Representation for Pattern Classification.

[BibT_eX]

[DOI]

Comput. Electr. Eng., 2020

SummPip: Unsupervised Multi-Document Summarization with Sentence Graph Compression.

[BibT_eX]

[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Variational Autoencoders for Sparse and Overdispersed Discrete Data.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Leveraging external information in topic modelling.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2019

Variational Auto-encoder Based Bayesian Poisson Tensor Factorization for Sparse and Imbalanced Count Data.

[BibT_eX]

[DOI]

CoRR, 2019

Variational Autoencoders for Sparse and Overdispersed Discrete Data.

[BibT_eX]

[DOI]

CoRR, 2019

Representation-based classification methods with enhanced linear reconstruction measures for face recognition.

[BibT_eX]

[DOI]

Comput. Electr. Eng., 2019

Long-short Distance Aggregation Networks for Positive Unlabeled Graph Learning.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Leveraging Meta Information in Short Text Aggregation.

[BibT_eX]

[DOI]

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Two-phase linear reconstruction measure-based classification for face recognition.

[BibT_eX]

[DOI]

Inf. Sci., 2018

Sparsity and Geometry Preserving Graph Embedding for Dimensionality Reduction.

[BibT_eX]

[DOI]

IEEE Access, 2018

Leveraging Label Category Relationships in Multi-class Crowdsourcing.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Dirichlet belief networks for topic structure learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Inter and Intra Topic Structure Learning with Word Embeddings.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Bayesian Multi-label Learning with Sparse Features and Labels, and Label Co-occurrences.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Data Preparation.

[BibT_eX]

[DOI]

Zahraa Said Abdallah

Geoffrey I. Webb

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Semantic-aware Query Processing for Activity Trajectories.

[BibT_eX]

[DOI]

Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Leveraging Node Attributes for Incomplete Relational Data.

[BibT_eX]

[DOI]

He Zhao

Proceedings of the 34th International Conference on Machine Learning, 2017

MetaLDA: A Topic Model that Efficiently Incorporates Meta Information.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

A Word Embeddings Informed Focused Topic Model.

[BibT_eX]

[DOI]

He Zhao

Proceedings of The 9th Asian Conference on Machine Learning, 2017

Unsupervised Text Segmentation Based on Native Language Characteristics.

[BibT_eX]

[DOI]

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Nonparametric Bayesian topic modelling with the hierarchical Pitman-Yor processes.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2016

Discriminative sparsity preserving graph embedding.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

Improving Topic Models with Latent Feature Word Representations.

[BibT_eX]

[DOI]

Trans. Assoc. Comput. Linguistics, 2015

Differential Topic Models.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2015

A Computationally Efficient Algorithm for Learning Topical Collocation Models.

[BibT_eX]

[DOI]

Massimiliano Ciaramita

Mark Steedman

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Using Entity Information from a Knowledge Base to Improve Relation Extraction.

[BibT_eX]

[DOI]

Anish Kumar

Massimiliano Ciaramita

Proceedings of the Australasian Language Technology Association Workshop, 2015

Topic Segmentation with an Ordering-Based Topic Model.

[BibT_eX]

[DOI]

John K. Pate

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Topic Models with Topic Ordering Regularities for Topic Segmentation.

[BibT_eX]

[DOI]

John K. Pate

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2013

Learning Social Relationship Strength via Matrix Co-Factorization with Multiple Kernels.

[BibT_eX]

[DOI]

Youliang Zhong

Jian Yang

Proceedings of the Web Information Systems Engineering - WISE 2013, 2013

Semantic Title Evaluation and Recommendation Based on Topic Models.

[BibT_eX]

[DOI]

Lijiu Zhang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Topic Segmentation with a Structured Topic Model.

[BibT_eX]

[DOI]

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

2012

Sequential latent Dirichlet allocation.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2012

A Local Mean-Based <i>k</i>-Nearest Centroid Neighbor Classifier.

[BibT_eX]

[DOI]

Comput. J., 2012

Modelling Sequential Text with an Adaptive Topic Model.

[BibT_eX]

[DOI]

Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

2011

Sampling Table Configurations for the Hierarchical Poisson-Dirichlet Process.

[BibT_eX]

[DOI]

Changyou Chen

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

2010

A segmented topic model based on the two-parameter Poisson-Dirichlet process.

[BibT_eX]

[DOI]

Mach. Learn., 2010

Sequential Latent Dirichlet Allocation: Discover Underlying Topic Structures within a Document.

[BibT_eX]

[DOI]

Wray Lindsay Buntine