2025 Quantum Diffusion Models for Few-Shot Learning Ruhan Wang, Ye Wang, Jing Liu, and Toshiaki Koike-Akino ICAD 2025 and AAAI QCAI Workshop 2025, 2025 arXiv PDF Safe Decision Transformer with Learning-based Constraints Ruhan Wang, and Dongruo Zhou L4DC 2025 and Neurips Safe Generative AI Workshop 2024, 2025 PDF Federated In-Context Learning: Iterative Refinement for Improved Answer Quality Ruhan Wang, Zhiyong Wang, Chengkai Huang, Wang Rui, Tong Yu, and 3 more authors 2025 arXiv PDF How to Provably Improve Return Conditioned Supervised Learning? Zhishuai Liu, Yu Yang, Ruhan Wang, Pan Xu, and Dongruo Zhou 2025 arXiv PDF Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models Chengkai Huang, Junda Wu, Yu Xia, Zixu Yu, Ruhan Wang, and 7 more authors 2025 arXiv PDF 2024 JustQ: Automated deployment of fair and accurate quantum neural networks Ruhan Wang, Fahiz Baba-Yara, and Fan Chen 2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC 2024), 2024 HTML PDF Return augmented decision transformer for off-dynamics reinforcement learning Ruhan Wang, Yu Yang, Zhishuai Liu, Dongruo Zhou, and Pan Xu 2024 arXiv PDF 2023 Llmcarbon: Modeling the end-to-end carbon footprint of large language models Ahmad Faiz, Sotaro Kaneda, Ruhan Wang, Rita Osi, Prateek Sharma, and 2 more authors ICLR 2024(Oral), 2023 arXiv PDF Code A hybrid quantum–classical neural network for learning transferable visual representation Ruhan Wang, Philip Richerme, and Fan Chen Quantum Science and Technology, 2023 HTML PDF
Safe Decision Transformer with Learning-based ConstraintsL4DC 2025 and Neurips Safe Generative AI Workshop 2024, 2025 
