Joint Mode Selection and Power Adaptation for D2D Communication with Reinforcement Learning. - Yiming Qiu; Zelin Ji; Yonghao Zhu; Guanghao Meng; Gang Xie (ISWCS, 2018)

Estimating GPU memory consumption of deep learning models. - Yanjie Gao; Yu Liu; Hongyu Zhang 002; Zhengxian Li; Yonghao Zhu; Haoxiang Lin; Mao Yang 004 (ESEC/SIGSOFT FSE, 2020)

Resource-Guided Configuration Space Reduction for Deep Learning Models. - Yanjie Gao; Yonghao Zhu; Hongyu Zhang 002; Haoxiang Lin; Mao Yang 004 (ICSE, 2021)

Application of Genetic Evolutionary Algorithm on Creative Design of Public Art. - Xin Ge; Yonghao Zhu (ICKII, 2023)

A Scheme for Quantum Teleportation and Remote Quantum State Preparation of IoT Multiple Devices. - You Fu; Dongfen Li; Xiaoyu Hua; Yangyang Jiang; Yonghao Zhu; Jie Zhou; Xiaolong Yang; Yuqiao Tan (Sensors, 2023)

Hierarchical Controlled Hybrid Quantum Communication Based on Six-Qubit Entangled States in IoT. - Xiaoyu Hua; Dongfen Li; You Fu; Yonghao Zhu; Yangyang Jiang; Jie Zhou; Xiaolong Yang; Yuqiao Tan (Sensors, 2023)

PERL: Parameter Efficient Reinforcement Learning from Human Feedback. - Hakim Sidahmed; Samrat Phatale; Alex Hutcheson; Zhuonan Lin; Zhang Chen; Zac Yu; Jarvis Jin; Roman Komarytsia; Christiane Ahlheim; Yonghao Zhu; Simral Chaudhary; Bowen Li; et al. (CoRR, 2024)