Virtual face sculpting. - Jean-Charles Bazin; Soonkee Chung; Roger Blanco Ribera; Quang Pham; Inso Kweon (SIGGRAPH Posters, 2010)

Vietnamese food recognition using convolutional neural networks. - Thai Van Phat; Dang Xuan Tien; Quang Pham; Nguyen Pham; Binh T. Nguyen 001 (KSE, 2017)

Online Deep Learning: Learning Deep Neural Networks on the Fly. - Doyen Sahoo; Quang Pham; Jing Lu; Steven C. H. Hoi (IJCAI, 2018)

URLNet: Learning a URL Representation with Deep Learning for Malicious URL Detection. - Hung Le 003; Quang Pham; Doyen Sahoo; Steven C. H. Hoi (CoRR, 2018)

Vietnamese Punctuation Prediction Using Deep Neural Networks. - Thuy Pham; Nhu Nguyen; Quang Pham; Han Cao; Binh T. Nguyen 001 (SOFSEM, 2020)

Extracting Entities and Topics from News and Connecting Criminal Records. - Quang Pham; Marija Stanojevic; Zoran Obradovic (CoRR, 2020)

Bilevel Continual Learning. - Quang Pham; Doyen Sahoo; Chenghao Liu; Steven C. H. Hoi (CoRR, 2020)

Contextual Transformation Networks for Online Continual Learning. - Quang Pham; Chenghao Liu; Doyen Sahoo; Steven C. H. Hoi (ICLR, 2021)

An Efficient Transformer-Based Model for Vietnamese Punctuation Prediction. - Hieu Tran; Cuong V. Dinh; Quang Pham; Binh T. Nguyen 001 (IEA/AIE (2), 2021)

DualNet: Continual Learning, Fast and Slow. - Quang Pham; Chenghao Liu; Steven C. H. Hoi (NeurIPS, 2021)

Continual Normalization: Rethinking Batch Normalization for Online Continual Learning. - Quang Pham; Chenghao Liu; Steven C. H. Hoi (ICLR, 2022)

TATL: Task agnostic transfer learning for skin attributes detection. - Duy M. H. Nguyen; Thu T. Nguyen; Huong Vu; Quang Pham; Manh-Duy Nguyen; Binh T. Nguyen 001; Daniel Sonntag (Medical Image Anal., 2022)

HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts. - Truong Do; Le Khiem; Quang Pham; TrungTin Nguyen; Thanh-Nam Doan; Binh Nguyen; Chenghao Liu; Savitha Ramasamy; Xiaoli Li 001; Steven C. H. Hoi (EMNLP, 2023)

Adaptive-saturated RNN: Remember more with less instability. - Khoi Minh Nguyen-Duy; Quang Pham; Binh T. Nguyen 001 (Tiny Papers @ ICLR, 2023)

Learning Fast and Slow for Online Time Series Forecasting. - Quang Pham; Chenghao Liu; Doyen Sahoo; Steven C. H. Hoi (ICLR, 2023)

On the Out of Distribution Robustness of Foundation Models in Medical Image Segmentation. - Duy Minh Ho Nguyen; Tan Ngoc Pham; Nghiem Tuong Diep; Nghi Quoc Phan; Quang Pham; Vinh Tong; Binh T. Nguyen 001; Ngan Hoang Le; Nhat Ho; Pengtao Xie; Daniel Sonntag; Mathias Niepert (CoRR, 2023)

HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts. - Giang Do; Khiem Le; Quang Pham; TrungTin Nguyen; Thanh-Nam Doan; Bint T. Nguyen; Chenghao Liu; Savitha Ramasamy; Xiaoli Li 001; Steven C. H. Hoi (CoRR, 2023)

Who's Who: Large Language Models Meet Knowledge Conflicts in Practice. - Quang Pham; Hoang Ngo; Anh Tuan Luu; Dat Quoc Nguyen (EMNLP (Findings), 2024)

Class-incremental Learning for Time Series: Benchmark and Evaluation. - Zhongzheng Qiao; Quang Pham; Zhen Cao; Hoang H. Le; Ponnuthurai N. Suganthan; Xudong Jiang 001; Savitha Ramasamy (KDD, 2024)

CompeteSMoE - Effective Training of Sparse Mixture of Experts via Competition. - Quang Pham; Giang Do; Huy Nguyen; TrungTin Nguyen; Chenghao Liu; Mina Sartipi; Binh T. Nguyen 001; Savitha Ramasamy; Xiaoli Li 001; Steven C. H. Hoi; Nhat Ho (CoRR, 2024)

CodeMMLU: A Multi-Task Benchmark for Assessing Code Understanding Capabilities of CodeLLMs. - Dung Nguyen Manh; Thang Phan Chau; Nam Le Hai; Thong T. Doan; Nam V. Nguyen 001; Quang Pham; Nghi D. Q. Bui (CoRR, 2024)

LIBMoE: A Library for comprehensive benchmarking Mixture of Experts in Large Language Models. - Nam V. Nguyen 001; Thong T. Doan; Luong Tran; Van Nguyen; Quang Pham (CoRR, 2024)

Continual Learning, Fast and Slow. - Quang Pham; Chenghao Liu; Steven C. H. Hoi (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

CodeMMLU: A Multi-Task Benchmark for Assessing Code Understanding & Reasoning Capabilities of CodeLLMs. - Dung Manh Nguyen; Thang Chau Phan; Nam Le Hai; Tien-Thong Doan; Nam V. Nguyen 001; Quang Pham; Nghi D. Q. Bui (ICLR, 2025)

Sequence Transferability and Task Order Selection in Continual Learning. - Thinh Nguyen; Cuong N. Nguyen; Quang Pham; Binh T. Nguyen 001; Savitha Ramasamy; Xiaoli Li 001; Cuong V. Nguyen (CoRR, 2025)

On DeepSeekMoE: Statistical Benefits of Shared Experts and Normalized Sigmoid Gating. - Huy Nguyen; Thong T. Doan; Quang Pham; Nghi D. Q. Bui; Nhat Ho; Alessandro Rinaldo (CoRR, 2025)

CompeteSMoE - Statistically Guaranteed Mixture of Experts Training via Competition. - Nam V. Nguyen; Huy Nguyen; Quang Pham; Van Nguyen; Savitha Ramasamy; Nhat Ho (CoRR, 2025)

Multi-Scale Finetuning for Encoder-based Time Series Foundation Models. - Zhongzheng Qiao; Chenghao Liu; Yiming Zhang; Ming Jin 005; Quang Pham; Qingsong Wen; Ponnuthurai N. Suganthan; Xudong Jiang 001; Savitha Ramasamy (CoRR, 2025)