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Lan Du

36 papers · 2009–2026 · 15 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (16) πŸ—ΊοΈ Taxonomy Completionist (10) 🐝 Cross-Pollinator (15) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (15) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸ† Keyword Champion (2) 🀝 Dynamic Duo (19) πŸ—ƒοΈ Keyword Collector (150) ❓ The Questioner ⚑ Prolific Year (6) πŸ“ˆ Trend Setter πŸ’Ž Century Club (34) πŸ”₯ Unstoppable (9)

Conferences

EMNLP (9) NIPS (5) AAAI (4) ACL (4) ICML (3) AISTATS (2) ACML (1) CONLL (1) CVPR (1) IJCAI (1) IJCNLP (1) INTERSPEECH (1) JMLR (1) NAACL (1) UAI (1)

Top co-authors

Wray Buntine (19) He Zhao (12) Jueqing Lu (6) Yuan Jin (5) Yuanyuan Qi (4) Wei Tan (4) Ming Liu (4) Joanna Dipnall (4) Mark Johnson (4) Xiaohao Yang (3)

Keywords

gibbs sampling (4) active learning (4) bayesian inference (4) variational inference (3) topic model (3) named entity recognition (3) topic modeling (3) acquisition function (2) generative model (2) variational autoencoder (2) unsupervised learning (2) topic coherence (2) image segmentation (2) non-parametric bayesian (2) multi-label classification (2) document representation (2) bayesian model (2) low-resource learning (2) document classification (2) language model (2)

Papers

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