Publications

Research in handwritten mathematical expressions, molecular generation, and cross-modal learning.

ConferenceICCIES · 2026Published

ChemAligner-T5: A Unified Text-to-Molecule Model via Representation Alignment

Nam Van Hai Phan, Khoa Minh Nguyen, Ngoc Thien Phu Nguyen, Nguyen Doan Hieu Nguyen, Tri Minh Pham, Duc Ngoc Minh Dang

International Conference on Computational Intelligence in Engineering Science

Co-first author

Contrastive representation alignment of textual and molecular embeddings on BioT5+, reporting 69.77% BLEU and 31.28% Levenshtein distance on the L+M-24 benchmark.

Paper Code Project
Abstract

Excerpt from the abstract

We introduce ChemAligner-T5, a BioT5+ base model enhanced with a contrastive learning mechanism to directly align textual and molecular representations.
Read the full abstract at source
BibTeX 
@inproceedings{chemalignert52026,
  title = {ChemAligner-T5: A Unified Text-to-Molecule Model via Representation Alignment},
  author = {Nam Van Hai Phan and Khoa Minh Nguyen and Ngoc Thien Phu Nguyen and Nguyen Doan Hieu Nguyen and Tri Minh Pham and Duc Ngoc Minh Dang},
  booktitle = {International Conference on Computational Intelligence in Engineering Science},
  year = {2026},
  doi = {10.1007/978-3-032-21625-0_16}
}
ConferenceAPWeb-WAIM · 2026Accepted

LexiChem: Shared-Latent Alignment for Faithful Text-to-Molecule Generation in SELFIES Space

Khoa Minh Nguyen, Nam Van Hai Phan, Phu Trong Nguyen, Duc Tai Phan, Tri Minh Pham, Duc Ngoc Minh Dang

APWeb-WAIM Joint International Conference on Web and Big Data

First author

Shared-latent text and SELFIES alignment for text-to-molecule generation evaluated on L+M-24, derived from the core research of our capstone project.

Project
BibTeX 
@inproceedings{lexichem2026,
  title = {LexiChem: Shared-Latent Alignment for Faithful Text-to-Molecule Generation in SELFIES Space},
  author = {Khoa Minh Nguyen and Nam Van Hai Phan and Phu Trong Nguyen and Duc Tai Phan and Tri Minh Pham and Duc Ngoc Minh Dang},
  booktitle = {APWeb-WAIM Joint International Conference on Web and Big Data},
  year = {2026},
  note = {Accepted; final publication metadata pending}
}
ConferenceAPWeb-WAIM · 2026Published

CorrTie: Correction-aware Tie-breaking for Active Learning with Vision-Language Models

Duc Tai Phan, Tri Nguyen Thai, Khoa Minh Nguyen, Nhut Minh Nguyen, Duc Ngoc Minh Dang

APWeb-WAIM Joint International Conference on Web and Big Data

Co-author · Critical review and methodological refinement

Correction-aware sample selection strategy for active learning with vision-language models under constrained labeling budgets.

Paper Code
BibTeX 
@inproceedings{corrtie2026,
  title = {CorrTie: Correction-aware Tie-breaking for Active Learning with Vision-Language Models},
  author = {Duc Tai Phan and Tri Nguyen Thai and Khoa Minh Nguyen and Nhut Minh Nguyen and Duc Ngoc Minh Dang},
  booktitle = {APWeb-WAIM Joint International Conference on Web and Big Data},
  year = {2026},
  doi = {10.1007/978-981-92-5699-0_26}
}
JournalJIT · 2026Published

Enhancing handwritten mathematical expression recognition with convolutional block attention refinement module and multi-task learning

Thanh Trung Nguyen, Nhut Minh Nguyen, Nam Van Hai Phan, Khoa Minh Nguyen, Trung Thanh Pham, Phuong-Nam Tran, Cuong Tuan Nguyen, Duc Ngoc Minh Dang

Journal of Information and Telecommunication

Co-author

Multi-task learning framework with convolutional block attention refinement module (CBARM) for handwritten mathematical expression recognition, published online 19 August 2026.

Paper Code Project
Abstract

Excerpt from the abstract

Handwritten Mathematical Expression Recognition (HMER) is challenging due to complex structural relationships, implicit symbols, and variations in handwriting styles.
Read the full abstract at source
BibTeX 
@article{mtlcbarmhmer2026,
  title = {Enhancing handwritten mathematical expression recognition with convolutional block attention refinement module and multi-task learning},
  author = {Thanh Trung Nguyen and Nhut Minh Nguyen and Nam Van Hai Phan and Khoa Minh Nguyen and Trung Thanh Pham and Phuong-Nam Tran and Cuong Tuan Nguyen and Duc Ngoc Minh Dang},
  journal = {Journal of Information and Telecommunication},
  year = {2026},
  doi = {10.1080/24751839.2026.2716432},
  note = {Published online 19 August 2026; final issue metadata pending}
}
ConferenceICDAR · 2025Published

Mask CoMER: Enhancing Handwritten Mathematical Expression Recognition with Masked Language Pretraining and Regularization

Nam Van Hai Phan, Khoa Minh Nguyen, Trung Thanh Nguyen, Trung Thanh Pham, Phuong-Nam Tran, Duc Ngoc Minh Dang

International Conference on Document Analysis and Recognition

Co-author

Masked-language pretraining and stochastic-depth regularization for HMER, achieving up to +5 ExpRate points over CoMER on CROHME.

Paper Code Project
Abstract

Excerpt from the abstract

We propose Mask CoMER, a two-stage training approach that combines a novel Masked Language Model Pretraining objective with stochastic depth regularization.
Read the full abstract at source
BibTeX 
@inproceedings{maskcomer2025,
  title = {Mask CoMER: Enhancing Handwritten Mathematical Expression Recognition with Masked Language Pretraining and Regularization},
  author = {Nam Van Hai Phan and Khoa Minh Nguyen and Trung Thanh Nguyen and Trung Thanh Pham and Phuong-Nam Tran and Duc Ngoc Minh Dang},
  booktitle = {International Conference on Document Analysis and Recognition},
  year = {2025},
  doi = {10.1007/978-3-032-04624-6_22}
}