Ruihao Gong focuses on the system and algorithms for accelerating the industry model production, model deployment and model efficiency. His research interests include model quantization, model sparsity, hardware-friendly neural networks for various hardwares such as cloud servers and mobile/egde devices, building systems for large model training and inference, and various applications such as smart city and L2/L4 autonomous driving, personal AI assistants.