Lan Du
36 papers · 2009–2026 · 15 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (10) π Conference Polyglot (15)
π
Conference Polyglot
(15)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Keyword Champion
(2)
π€
Dynamic Duo
(19)
ποΈ
Keyword Collector
(150)
β
The Questioner
β‘
Prolific Year
(6)
π
Trend Setter
π
Century Club
(34)
π₯
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
Keywords
gibbs sampling
(4)
bayesian inference
(4)
active learning
(4)
topic modeling
(3)
topic model
(3)
named entity recognition
(3)
variational inference
(3)
acquisition function
(2)
generative model
(2)
variational autoencoder
(2)
non-parametric bayesian
(2)
unsupervised learning
(2)
document classification
(2)
document representation
(2)
bayesian model
(2)
topic coherence
(2)
multi-label classification
(2)
low-resource learning
(2)
image segmentation
(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