Thanh Hai Dang

17 papers A* 1Misc 1Journal 9Unranked 6
YearRankTypeTitle / Venue / Authors
2025 — conf
TMMP: Efficient Continual Learning via Mixture of LoRA Experts and Top Maximum Magnitude Parameter Fusion.
ACIIDS (2)
Quynh-Trang Pham Thi, Le-Huy Pham, Dinh-Dat Nguyen, Tri-Thanh Nguyen, Thanh Hai Dang
2024 — conf
Enhancing Biomedical Entity Normalization Through Re-ranking Based on Convolutional Neural Networks.
MAPR
Thanh Hai Dang, Duc Thang Nguyen
2024 — conf
FT-IBCL: Enhancing Imprecise Bayesian for Continual Learning Under Trade-Offs with Fine-Tuning.
KSE
Quynh-Trang Pham Thi, Tu-Tai Hoang, Van-Toan Phan, Tri-Thanh Nguyen, Quang-Thuy Ha, Thanh Hai Dang
2024 — conf
Towards Robust Continual Learning: A Multi-Head Approach with Online Prototype Equilibrium and Adaptive Prototypical Feedback.
ACIIDS (2)
Quynh-Trang Pham Thi, Duc-Hung Nguyen, Thanh Hai Dang, Duc-Trong Le, Tri-Thanh Nguyen, Quang-Thuy Ha
2024 J jnl
Visibility Graph Investigation of the Shallow Seismicity of Lai Chau Area (Vietnam).
Entropy
Luciano Telesca, Anh Tuan Thai, Dinh Trong Cao, Thanh Hai Dang
2024 J jnl
xCAPT5: protein-protein interaction prediction using deep and wide multi-kernel pooling convolutional neural networks with protein language model.
BMC Bioinform.
Thanh Hai Dang, Tien Anh Vu
2023 J jnl
Document-Level Chemical-Induced Disease Semantic Relation Extraction Using Bidirectional Long Short-Term Memory on Dependency Graph.
Int. J. Comput. Intell. Syst.
Thi-Phuong-Trang Pham, Quang Huy Dao, Anh Duc Nguyen, Thanh Hai Dang
2018 J jnl
D3NER: biomedical named entity recognition using CRF-biLSTM improved with fine-tuned embeddings of various linguistic information.
Bioinform.
Thanh Hai Dang, Hoang-Quynh Le, Trang M. Nguyen, Sinh T. Vu
2018 A* conf
Large-scale Exploration of Neural Relation Classification Architectures.
EMNLP
Hoang-Quynh Le, Duy-Cat Can, Sinh T. Vu, Thanh Hai Dang, Mohammad Taher Pilehvar, Nigel Collier
2017 — conf
Improving chemical-induced disease relation extraction with learned features based on convolutional neural network.
KSE
Hoang-Quynh Le, Duy-Cat Can, Thanh Hai Dang, Mai-Vu Tran, Quang-Thuy Ha, Nigel Collier
2016 J jnl
Sieve-based coreference resolution enhances semi-supervised learning model for chemical-induced disease relation extraction.
Database J. Biol. Databases Curation
Hoang-Quynh Le, Mai-Vu Tran, Thanh Hai Dang, Quang-Thuy Ha, Nigel Collier
2016 J jnl
Sieve-based coreference resolution enhances semi-supervised learning model for chemical-induced disease relation extraction.
Database J. Biol. Databases Curation
Hoang-Quynh Le, Mai-Vu Tran, Thanh Hai Dang, Quang-Thuy Ha, Nigel Collier
2013 Misc conf
Improving SAPS3-based Mortality Risk Prediction for ICU Patients using Random Forest Models: A Single-center Study.
AMIA
Thanh Hai Dang, Koen Smets, Walter Verbrugghe, Philippe Jorens, Tim Van den Bulcke
2012 — conf
AcoSeeD: An Ant Colony Optimization for Finding Optimal Spaced Seeds in Biological Sequence Search.
ANTS
Dong Do Duc, Huy Q. Dinh, Thanh Hai Dang, Kris Laukens, Huan Hoang Xuan
2011 J jnl
Use of structural DNA properties for the prediction of transcription-factor binding sites in
Nucleic Acids Res.
Pieter Meysman, Thanh Hai Dang, Kris Laukens, Riet De Smet, Yan Wu, Kathleen Marchal, Kristof Engelen
2010 J jnl
Flexible network reconstruction from relational databases with Cytoscape and CytoSQL.
BMC Bioinform.
Kris Laukens, Jens Hollunder, Thanh Hai Dang, Geert De Jaeger, Martin Kuiper, Erwin Witters, Alain Verschoren, Koenraad Van Leemput
2008 J jnl
Prediction of kinase-specific phosphorylation sites using conditional random fields.
Bioinform.
Thanh Hai Dang, Koenraad Van Leemput, Alain Verschoren, Kris Laukens