Optimizing Charging Locations and Charging Time for Energy Depletion Avoidance in Wireless Rechargeable Sensor Networks. - Tran Thi Huong; Huynh Thi Thanh Binh; Phi-Le Nguyen; Doan Cao Thanh Long; Vuong Dinh An; Le Trong Vinh (CEC, 2020)

Language-driven Scene Synthesis using Multi-conditional Diffusion Model. - Vuong Dinh An; Minh Nhat Vu; Toan Nguyen 004; Baoru Huang; Dzung Nguyen; Thieu Vo; Anh Nguyen 003 (NeurIPS, 2023)

HabiCrowd: A High Performance Simulator for Crowd-Aware Visual Navigation. - Vuong Dinh An; Toàn Tien Nguyên; Minh Nhat Vu; Baoru Huang; Dzung Nguyen; Huynh Thi Thanh Binh; Thieu Vo; Anh Nguyen 003 (CoRR, 2023)

Language-driven Grasp Detection. - Vuong Dinh An; Minh Nhat Vu; Baoru Huang; Nghia Nguyen; Hieu Le; Thieu Vo; Anh Nguyen 003 (CVPR, 2024)

Grasp-Anything: Large-scale Grasp Dataset from Foundation Models. - Vuong Dinh An; Minh Nhat Vu; Hieu Le; Baoru Huang; Huynh Thi Thanh Binh; Thieu Vo; Andreas Kugi; Anh Nguyen 003 (ICRA, 2024)

An adaptive charging scheme for large-scale wireless rechargeable sensor networks inspired by deep Q-network. - Vuong Dinh An; Tran Thi Huong; Hoang Nguyen Quang Pham; Quang Minh Bui; Trang Phuong Ngo; Thi Thanh Binh Huynh (Neural Comput. Appl., 2024)

Action Tokenizer Matters in In-Context Imitation Learning. - Vuong Dinh An; Minh Nhat Vu; Dong An; Ian D. Reid 001 (CoRR, 2025)