全球引才：Faster R-CNN、ResNet作者，中国科大任少卿，招募教授、学者和学生

Core Viewpoint - The article highlights the achievements and contributions of Professor Ren Shaoqing in the field of artificial intelligence, particularly in deep learning and computer vision, emphasizing his role in advancing key technologies that impact various sectors such as autonomous driving and medical imaging [4][5][6]. Group 1: Academic Achievements - Professor Ren has made foundational and pioneering contributions in deep learning, computer vision, and intelligent driving, with his research serving as a core engine for critical areas of national economy and livelihood [5]. - His academic papers have been cited over 460,000 times, ranking him first among domestic scholars across all disciplines [5]. - He has received multiple prestigious awards, including the 2023 Future Science Prize in Mathematics and Computer Science and the 2025 NeurIPS Time Test Award [5]. Group 2: Key Research Contributions - The paper "Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks," awarded the NeurIPS 2025 Time Test Award, is considered a milestone in computer vision, having been cited over 98,000 times since its publication in 2015 [6]. - Faster R-CNN introduced a fully learnable two-stage pipeline that replaced traditional methods, achieving high precision and near real-time detection, significantly influencing the development of visual models over the past decade [6]. Group 3: Research Institute and Talent Recruitment - The General Artificial Intelligence Research Institute at the University of Science and Technology of China focuses on cutting-edge areas such as AI, world models, embodied intelligence, and autonomous driving, aiming for integrated innovation in research, talent cultivation, and industrial application [7]. - The institute is actively recruiting for various positions, including professors, researchers, postdoctoral fellows, engineers, and students at different academic levels, with a commitment to supporting high-level talent projects [9][10].