91影视

From October 23 to 25, The Fifth SMBU-BIT–MSU Youth Forum of Innovation and Technology Young Scholars Seminar on Machine Intelligence was successfully held at 91影视 (SMBU). The forum was organized by the Department of Engineering at SMBU and the Guangdong Provincial Key Laboratory of Intelligent Perception and Computing. It attracted experts, scholars, and young researchers from Moscow State University, Beijing Institute of Technology, SMBU, and several other well-known domestic and international universities. The participants engaged in in-depth discussions on cutting-edge topics such as artificial intelligence, bioinformatics, 3D reconstruction, and embodied intelligence.

The forum aimed to further deepen international scientific and technological cooperation, promote academic exchanges between SMBU, Beijing Institute of Technology, and Moscow State University, and strengthen ties with top domestic universities and research institutions. It also sought to build a cross-regional and interdisciplinary academic collaboration network, providing a high-level platform for young scientific talents to exchange ideas, while fostering closer strategic cooperation in advanced technology, talent cultivation, and the transformation of scientific research achievements.

AI Bioinformatics and AI Security Seminar

On the afternoon of October 23, the forum hosted two major themed seminars: "AI + Bioinformatics" and "AI Security," focusing on the cutting-edge applications of artificial intelligence in life sciences and security protection. The seminars brought together experts, scholars, and industry representatives from both domestic and international institutions, including Dr. Anna Gribkova and Dr. Elizaveta Bogdanova, postdoctoral researchers from Moscow State University, as well as Associate Professors Zhao Weibing, Zhan Chaohui, and Liu Sicen from SMBU, Associate Professor Tang Di from Sun Yat-sen University (Shenzhen), Assistant Professor Yu Zitong from the Greater Bay Area University, Associate Professor Chen Bin from Harbin Institute of Technology (Shenzhen), and Dr. He Yaobin, Senior Engineer at China Electronics Technology Group Corporation. The discussions covered a variety of topics, including molecular data modeling, medical image analysis, graph neural network security detection, and AI system protection. Experts shared their latest research findings and technological practices, engaging in exchanges about the future prospects of AI in advancing life health and ensuring cybersecurity.

Graduate Forum: A Showcase of Emerging Young Research Talent

On October 24, the Graduate Forum was held in the Audiovisual Room on the first floor of the library at SMBU. The forum was co-hosted by Professor Jia Yunde, Head of the Department of Engineering at SMBU, and Professor Wu Xinxiao from the School of Computer Science at Beijing Institute of Technology. The forum focused on cutting-edge research areas such as multi-modal learning, visual reasoning, 3D reconstruction, robot navigation, bionic robots, financial sequence data prediction, and zero-shot learning in open environments. The event brought together numerous young researchers from the School of Computer Science at Beijing Institute of Technology, showcasing the innovative potential of young scientific talent.

During the opening remarks, Professor Jia Yunde encouraged young students and researchers, saying, “The path of scientific research requires firm belief and perseverance. One must be willing to endure hardship, ready to make contributions, and always keep the original intention of serving society as the driving force. Research should focus on real-world tasks, face actual challenges, solve practical problems, and build systems that are not only academically profound but also ‘beneficial’ to society.”

At the forum, graduate students from Beijing Institute of Technology presented various specialized reports. Fan Xiaomeng delivered a talk on Multimodal Representation Learning with Geometric Perception, proposing a new method for optimizing multimodal data representations in geometric space to improve cross-modal task performance. Qi Yayun gave a report on Knowledge-Enhanced Visual Reasoning, discussing how to enhance visual scene reasoning capabilities using external knowledge and breaking through the limitations of single-model semantic reasoning. Guo Yi shared on Indoor 3D Neural Reconstruction under Sparse and Dynamic Inputs, presenting a method for high-fidelity indoor scene reconstruction through hybrid representations and spatiotemporal modeling. Huang Guichen discussed Robot Autonomous Navigation: From Sketch to Map, introducing an intelligent navigation framework combining visual and semantic information to achieve zero-shot operation in unknown environments.

Chen Xu focused on Bionic Facial Robot Facial Expression Display, developing a high-fidelity facial robot with multi-degree-of-freedom drives to improve natural human-robot interaction. Zhang Yong presented on The Application of Multimodal Learning in Stock Price Prediction, proposing the integration of multi-source information and hypergraph modeling to enhance the accuracy and robustness of financial forecasting. Li Zhen discussed Knowledge Transfer and Zero-Shot Ensemble Recognition in Open Environments, presenting a new ensemble learning framework to enhance AI systems' ability to handle new concepts.

Embodied Intelligence and Human-Computer Interaction Symposium

On October 25, the forum focused on the latest research findings in 3D reconstruction and embodied intelligence. The morning session of the symposium explored topics such as robotic embodiment operation platforms and 3D interactive systems, chaired by Professor Liang Wei and Associate Professor Gao Zhi from Beijing Institute of Technology. The afternoon academic presentations covered cutting-edge areas like geometric-guided modeling, spatial intelligence, world models, and foundational models, with Associate Professor Wu Yuwei from SMBU moderating. The forum specially invited outstanding researchers from top domestic universities to present their latest advancements, offering a high-level intellectual feast for the attendees.

Professor Hu Ruizhen from Shenzhen University delivered a talk titled Geometric-Guided 3D Interactive Modeling and Generation, in which she discussed how combining traditional geometric algorithms with machine learning can enhance the realism of interactions between 3D characters and robots. Professor Guo Yulan from Sun Yat-sen University presented on 3D Scene Perception, Understanding, and Generation for Spatial Intelligence, where she introduced core technologies for next-generation spatial intelligence systems, including controllable 3D generation and four-dimensional spatiotemporal understanding. Professor Tang Yansong from the Tsinghua University Shenzhen International Graduate School shared a report titled Towards General Embodied Operation, exploring how Gaussian splashing-based world models can enhance the scalability of robot operations. Professor Yang Menglin from the Hong Kong University of Science and Technology (Guangzhou) delivered a talk on Beyond Euclidean LLMs, discussing the inevitability and advantages of non-Euclidean geometry in building next-generation foundational models.

The three-day forum was rich in academic exchange and marked by clear thematic focus. The event not only strengthened research and talent development collaborations between SMBU, Beijing Institute of Technology, and Moscow State University, but also helped forge new connections within the global scientific research network. Experts at the symposium unanimously agreed that, leveraging the platform of the youth forum, the three universities will continue to develop research projects aligned with international frontiers, drive cross-disciplinary innovations, and contribute wisdom and strength to the advancement of human technology.