On the morning of May 16, 2025, the main session of the 4th Wuhan University Graduate Student Future Innovation Academic Forum was successfully held in the lecture hall on the seventh floor of the Yugang-Songxiao Building. This edition of the forum focused on the cutting-edge trends and forward-thinking perspectives of "AI Empowering Innovative Development," inviting renowned scholars and industry experts in artificial intelligence to deliver specialized academic reports. Leaders and faculty members from functional departments such as the Graduate School, the Graduate Student Affairs Office of the Party Committee, and the University Youth League Committee attended the event. Nearly 200 faculty members and students from the School of Computer Science, the School of Artificial Intelligence, the School of Mathematics and Statistics, and other units gathered to discuss hot topics and exchange insights on the latest advancements.
In his opening speech, Professor Gong Wei, Vice President of Wuhan University, pointed out that artificial intelligence is reshaping the global technological landscape at an unprecedented pace, with new technologies like ChatGPT and DeepSeek profoundly transforming educational methods and scientific research paradigms. He emphasized that Wuhan University is building an interdisciplinary academic community through the "Graduate Student Future Innovation Academic Forum," encouraging graduate students to explore technological frontiers and hone their problem-solving skills for critical challenges. He particularly praised the multimodal CT analysis technology developed by the "Lung Rescue" team from the School of Computer Science and the distribution network optimization research led by Professor Hu Zhijian’s team from the School of Electrical Engineering and Automation. He called on young scholars to "accelerate Wuhan University’s pace in the race toward a technologically powerful nation."
At the forum, Professor Zhou Wei, Dean of the Graduate School, presented commemorative certificates to the invited guests.
Professor Peng Yuxin, Boya Distinguished Professor at Peking University and recipient of the National Science Fund for Distinguished Young Scholars, delivered a keynote report titled "Fine-Grained Multimodal Large Models." Using natural scenarios such as birds and flowers as examples, he explained the data fusion and reasoning capabilities of multimodal large models, analyzed the underlying logic of integrating text, images, and videos, and introduced the DeepSeek-R1 model, which employs reinforcement learning to optimize training strategies. This model addresses bottlenecks such as "high computational costs" and "weak fine-grained perception" in traditional large models, achieving successful applications in smart governance, education and research, autonomous driving, and fintech.
Professor Liu Min, Vice Dean of the College of Electrical and Information Engineering at Hunan University and recipient of the National Science Fund for Distinguished Young Scholars, presented a report titled "Multimodal Perception in Intelligent Surgical Robots." Starting with the limitations of the Da Vinci surgical system, he emphasized that surgical robotics is a national strategic mission for "serving people's life and health." He provided an in-depth analysis of key technologies such as preoperative multi-source medical image analysis, 3D reconstruction, intraoperative multi-target recognition, real-time surgical navigation, and postoperative lesion detection in medical imaging, proposing an intelligent full-process solution from preoperative to postoperative stages. He also envisioned its future applications in smart rehabilitation, home healthcare, and treatment efficacy assessment.
Professor Du Bo, Director of the Development Planning and Discipline Construction Office at Wuhan University, Dean of the School of Computer Science, and recipient of the National Science Fund for Distinguished Young Scholars, delivered a report titled "From ChatGPT to DeepSeek: Medical Applications of AI Theories and Methods." He systematically introduced the localized deployment of DeepSeek at Wuhan University People’s Hospital, covering outpatient triage, medical record documentation, and clinical decision-making. Advocating the concept of "human-AI collaboration," he integrated federated learning for privacy protection and demonstrated innovative applications such as premature infant development tracking and multi-agent swarm intelligence in healthcare, emphasizing that large models are "an extension and expansion of human intelligence."
Expert Zhang Fan, Head of Xiaomi AI Algorithms in Wuhan, shared a report on "Key Technologies of the Next-Gen Intelligent Assistant 'Super XiaoAI.'" He explained how large model technology empowers natural interaction and personalized services, achieving seamless and delay-free multimodal interactions through voice, vision, and touch. By leveraging an "edge-cloud architecture" that combines the strengths of chips and operating systems, "Super XiaoAI" is poised to integrate into smart homes, vehicles, and ecosystems.
During the interactive session, faculty and students actively engaged with the speakers on topics such as large model bottlenecks and surgical robot perception optimization. The invited guests provided insightful answers based on industry practices and research experience, sparking lively academic debates and innovative discussions that elevated the forum’s atmosphere.
In the afternoon, three parallel sub-forums were held simultaneously at the School of Computer Science, focusing on:
Frontiers of Intelligent Science and Technology
Artificial Intelligence and Big Data
AI+ (Medicine/Remote Sensing/Finance) Cross-Disciplinary Applications
A total of 18 Ph.D. candidates from the School of Computer Science and the School of Mathematics and Statistics presented their research, covering efficient algorithm optimization, domain-specific fine-tuning of large models, medical image analysis, and remote sensing observation. Review experts provided suggestions from both technical breakthrough and industrial application perspectives, highlighting the inclusive value and interdisciplinary vitality of AI.
Since its launch in September 2024, the Wuhan University Graduate Student Future Innovation Academic Forum has covered multiple research fields, including biology, medicine, chemistry, and artificial intelligence. The forum is entirely organized by graduate students, from theme selection and expert invitations to logistical arrangements, fostering academic exchange and innovation capabilities to support their growth. This edition aligned with China’s "AI+" development strategy, promoting the transition of cutting-edge technologies from labs to industries and injecting new momentum into the cultivation of top-tier innovative talent.
