Duc Anh Nguyen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
11
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACIIDS | LUMOS: LLM-Driven Contrastive Federated Sequential Recommendation. | Thi Minh Chau Nguyen, Minh Hieu Nguyen, Duc Anh Nguyen, Xuan Huong Tran, Thanh Trung Huynh, Quoc Viet Hung Nguyen |
| 2026 | DAIS | Improving Federated Graph Recommendation with Semantic Guidance. | Thi Minh Chau Nguyen, Hien Trang Nguyen, Duc Anh Nguyen, Van Ho-Long, Thanh Trung Huynh, Zhao Ren |
| 2026 | WACV | RangeSAM: On the Potential of Visual Foundation Models for Range-View Represented LiDAR Segmentation. | Paul Julius Khn, Duc Anh Nguyen, Arjan Kuijper, Saptarshi Neil Sinha |
| 2025 | EMNLP | XTRA: Cross-Lingual Topic Modeling with Topic and Representation Alignments. | Tien-Phat Nguyen, Vu Minh Ngo, Tung Nguyen, Linh Ngo Van, Duc Anh Nguyen, Dinh Viet Sang, Trung Le |
| 2025 | ICML | Time to Spike? Understanding the Representational Power of Spiking Neural Networks in Discrete Time. | Duc Anh Nguyen, Ernesto Araya, Adalbert Fono, Gitta Kutyniok |
| 2025 | NAACL | Sharpness-Aware Minimization for Topic Models with High-Quality Document Representations. | Tung Nguyen, Tue Le, Hoang Tran Vuong, Quang Duc Nguyen, Duc Anh Nguyen, Linh Ngo Van, Sang Dinh, Thien Huu Nguyen |
| 2025 | NAACL | GloCOM: A Short Text Neural Topic Model via Global Clustering Context. | Quang Duc Nguyen, Tung Nguyen, Duc Anh Nguyen, Linh Ngo Van, Sang Dinh, Thien Huu Nguyen |
| 2024 | EMNLP | NeuroMax: Enhancing Neural Topic Modeling via Maximizing Mutual Information and Group Topic Regularization. | Duy-Tung Pham, Thien Trang Nguyen Vu, Tung Nguyen, Linh Ngo Van, Duc Anh Nguyen, Thien Huu Nguyen |
| 2024 | TrustCom | An Automated PM2.5 Analysis and Prediction System with Encoder-Decoder Architecture and Continual Learning Mechanism. | Le Anh Duc Vu, Minh Hai Vu, Bao Ngoc Tran, Minh Tung Hoang, Duc Anh Nguyen, Minh Quan Hoang, Phi Le Nguyen |
| 2023 | ICLR | Memorization-Dilation: Modeling Neural Collapse Under Noise. | Duc Anh Nguyen, Ron Levie, Julian Lienen, Eyke Hllermeier, Gitta Kutyniok |
| 2022 | ECCV | Cartoon Explanations of Image Classifiers. | Stefan Kolek, Duc Anh Nguyen, Ron Levie, Joan Bruna, Gitta Kutyniok |
| 2021 | DSAA | Improved Automated CASH Optimization with Tree Parzen Estimators for Class Imbalance Problems. | Duc Anh Nguyen, Jiawen Kong, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Anna V. Kononova, Thomas Bck |
| 2020 | ICML | A Rate-Distortion Framework for Explaining Black-Box Model Decisions. | Stefan Kolek, Duc Anh Nguyen, Ron Levie, Joan Bruna, Gitta Kutyniok |
| 2017 | PAKDD | Keeping Priors in Streaming Bayesian Learning. | Duc Anh Nguyen, Ngo Van Linh, Nguyen Kim Anh, Khoat Than |