Lan Du

DPL: Decoupled Prototype Learning for Enhancing Robustness of Vision-Language Transformers to Missing Modalities CVPR 2026 IdentityStory: Taming Your Identity-Preserving Generator for Human-Centric Story Generation AAAI 2026 Next Generation Active Learning: Mixture of LLMs in the Loop AAAI 2026 CGMatch: A Different Perspective of Semi-supervised Learning CVPR 2025 Multi-Label Bayesian Active Learning with Inter-Label Relationships UAI 2025 Navigating Conflicting Views: Harnessing Trust for Learning ICML 2025 Neural Topic Modeling with Large Language Models in the Loop ACL 2025 Harnessing the Power of Beta Scoring in Deep Active Learning for Multi-Label Text Classification AAAI 2024 AUC Maximization for Low-Resource Named Entity Recognition AAAI 2023 Beyond Unimodal: Generalising Neural Processes for Multimodal Uncertainty Estimation NeurIPS 2023 Re-weighting Tokens: A Simple and Effective Active Learning Strategy for Named Entity Recognition EMNLP 2023 Hardness-guided domain adaptation to recognise biomedical named entities under low-resource scenarios EMNLP 2022 Learning Semantic Textual Similarity via Topic-informed Discrete Latent Variables EMNLP 2022 SpeechFormer: A Hierarchical Efficient Framework Incorporating the Characteristics of Speech Interspeech 2022 Uncertainty Estimation for Multi-view Data: The Power of Seeing the Whole Picture NeurIPS 2022 Diversity Enhanced Active Learning with Strictly Proper Scoring Rules NeurIPS 2021 Leveraging Information Bottleneck for Scientific Document Summarization EMNLP 2021 Multilingual Neural Machine Translation: Can Linguistic Hierarchies Help? EMNLP 2021 Neural Attention-Aware Hierarchical Topic Model EMNLP 2021 Topic Modelling Meets Deep Neural Networks: A Survey IJCAI 2021 Transformer over Pre-trained Transformer for Neural Text Segmentation with Enhanced Topic Coherence EMNLP 2021 Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs EMNLP 2020 Variational Autoencoders for Sparse and Overdispersed Discrete Data AISTATS 2020 Leveraging Meta Information in Short Text Aggregation ACL 2019 Bayesian Multi-label Learning with Sparse Features and Labels, and Label Co-occurrences AISTATS 2018 Dirichlet belief networks for topic structure learning NeurIPS 2018 Inter and Intra Topic Structure Learning with Word Embeddings ICML 2018 A Word Embeddings Informed Focused Topic Model ACML 2017 Leveraging Node Attributes for Incomplete Relational Data ICML 2017 Unsupervised Text Segmentation Based on Native Language Characteristics ACL 2017 A Computationally Efficient Algorithm for Learning Topical Collocation Models ACL 2015 Topic Segmentation with a Structured Topic Model NAACL 2013 Modelling Sequential Text with an Adaptive Topic Model EMNLP 2012 Logistic Stick-Breaking Process JMLR 2011 A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation NeurIPS 2009