Two undergraduate teams from AI Cube Lab both won Second Prize at the Guangdong selection round of the 28th China Robot and Artificial Intelligence Competition, and both were recommended for the national finals.
Two undergraduate innovation projects guided by AI Cube Lab — 'Multi-Agent Collaborative Perception and Machining Quality Optimization for Additive Manufacturing Based on High-Dimensional Time-Series Large Models' and 'Domestic PLC Large Model Edge Inference and Full-Stack Intelligent Control for Advanced Manufacturing' — were both approved as National-Level College Students' Innovation and Entrepreneurship Training Program projects, sweeping all slots allocated to the School of Advanced Manufacturing this year.
Two undergraduate teams from AI Cube Lab won Second Prize in the Guangdong regional round of the 2026 China Collegiate Computer Design Contest's Artificial Intelligence Application track. The project 'High-Dimensional Time-Series Multi-Agent Collaborative Perception and Defect Diagnosis for FDM Printing' was recommended for the national finals, while 'Domestic PLC Large Model Edge Inference and Full-Stack Intelligent Control for Advanced Manufacturing' was one of only two award-winning entries from Sun Yat-sen University in the AI Practice competition category.
The 'Zhongshen Shishuo' (SYSU Shenzhen Faculty Talk) column features an exclusive interview with Prof. Jianshe Feng of SYSU Shenzhen Campus — tracing the journey of a scholar who walked back from the industrial front lines to the lecture hall, and how his 'teach to fish' philosophy led a joint undergraduate-graduate-doctoral team to claim the global championship of the PHM Data Challenge, while cultivating next-generation engineering talent.
Prof. Jianshe Feng has been selected for the "Emerging Leaders 2026" special issue of the internationally authoritative journal Measurement Science and Technology, in recognition of his outstanding contributions to multimodal spatiotemporal data modeling and industrial AI, demonstrating his growing academic influence as an emerging leader in the field.
Prof. Jianshe Feng has been officially appointed as a Working Group Officer of the IEEE Computer Society Smart Manufacturing Standards Committee, with a term running from January 2025 to December 2027, marking an important milestone for the laboratory in the field of intelligent manufacturing standardization.
The SAM-IPA-1 team from AI Cube Lab — led by Prof. Jianshe Feng and composed of undergraduate, master's, and doctoral students Peng Gao, Fanyu Qi, Yizhang Zhu, Jianyu Zhang, and Wenfei Li — leveraged outstanding technical expertise and an innovative algorithmic architecture to outshine international competitors and claim first place at the PHM 2025 Data Challenge.
The AI Cube Laboratory successfully held its inaugural "AI Cube Artificial Intelligence Challenge" from November 1–3, 2025. The competition was designed to stimulate enthusiasm for Python programming and foundational AI knowledge among all laboratory members through a "learning-by-competing" approach, showcasing the solid algorithmic foundations and outstanding innovative potential of participants, and injecting new vitality into the team's in-depth research in AI.
AI Cube Laboratory PhD student Qi Fanyu participated in the 5th International Conference on Digital Twins (DigiTwin 2025), delivering an academic presentation in the "Digital Experiment, Testing and Verification" sub-forum, showcasing the laboratory's research progress in intelligent fault diagnosis.
The three-member undergraduate team from the AI Cube Laboratory (Yin Size, Wu Honghui, Zheng Hao) fought tirelessly for three days and nights in the 2025 National Undergraduate Mathematical Contest in Modeling, standing out and ultimately winning the Guangdong Province First Prize!
Congratulations to Zhu Yizhang, a master's student from the laboratory, for successfully passing the master's-to-PhD transfer assessment and officially becoming a PhD student, embarking on a new academic research journey.
The AI Cube Laboratory team (SAM-IPA-1) defeated numerous strong teams from around the world to win the PHM North America Data Competition championship, becoming the first Chinese university team to win this competition. Notably, the team's main force is first-year master's student Gao Peng, who just enrolled.
On September 7th, the Advanced Manufacturing Intelligence Laboratory welcomed two new members, Dr. Qi Fanyu and Master Gao Peng officially enrolled, further strengthening the laboratory's research team and injecting new academic vitality into the laboratory's development.
First-year undergraduates Li Wenfei, Xie Ying, Lin Yule, and Wang Ziming, guided by the Advanced Manufacturing Intelligence Laboratory, performed excellently in the 2025 Intelligent Precision Assembly Competition, winning the Guangdong Province Third Prize, demonstrating freshmen's learning abilities and innovation potential.
The Advanced Manufacturing Intelligence Laboratory jointly organized an industrial big data competition with CAICT and Bao'an District Government. This competition, which has been held for 4 years, attracts numerous enterprises and universities to participate, becoming an important platform in the industry.
Professor Feng Jianshe was invited to attend the 2025 Academic Annual Conference of the CMES Industrial Big Data and Intelligent Systems Branch and the 8th Big Data-Driven Smart Manufacturing Academic Conference, delivering a sub-forum academic presentation and conducting in-depth exchanges with experts from renowned universities such as Tsinghua University, Peking University, and Fudan University.
Dr. Qi Fanyu, expected to enroll in September, demonstrated excellence at Peking University's Data Science Summer Camp, receiving the Outstanding Camper title with only a 5% selection rate, fully demonstrating the laboratory's academic strength and training level.
Professor Feng Jianshe was invited to conduct specialized teaching at Xiamen University's Wiener Manufacturing Summer School, a top-tier academic event in the manufacturing field that gathers renowned scholars from home and abroad, providing a high-end platform for manufacturing talent cultivation.
Professor Feng Jianshe, head of the Advanced Manufacturing Intelligence Laboratory, conducted a specialized workshop on career analysis and resume writing for the graduating class of 2026, providing professional career guidance based on the laboratory's research strengths in industrial artificial intelligence.
Zhu Yizhang, a master's student from the Advanced Manufacturing Intelligence Laboratory, participated in the Xiaomi AI Competition as an intern and won the championship, standing out among over 1,500 Xiaomi employees and receiving a 20,000 RMB prize, fully demonstrating the laboratory's training capabilities.
Professor Feng Jianshe recently secured three important grants in succession: Guangdong Province Natural Science Foundation General Project, Shenzhen Natural Science Foundation General Project, and Xiaomi Group Youth Scholar Research Special Project, fully demonstrating his recognized research strength.
Leaders from Xiaomi Group's Technology Committee visited the Advanced Manufacturing Intelligence Laboratory for an exchange visit, with both parties conducting in-depth discussions on deepening industry-academia-research cooperation and expanding talent cultivation.
The Advanced Manufacturing Intelligence Laboratory carried out in-depth technical cooperation with Han's Laser Technology Industry Group. Master's student Zhu Yizhang went to Jilin to provide technical guidance, promoting intelligent upgrading of laser manufacturing technology.
Professor Feng Jianshe, in collaboration with Guangzhou Wentian Information Technology Co., Ltd., won the Guangdong Province Industrial Software Science and Technology Invention Award Third Prize for the "Urban Intelligent IoT Comprehensive Management Platform" project, demonstrating the laboratory's technical strength.
Professor Feng Jianshe successfully received special support from Xiaomi's "Challenge Initiative" Youth Scholar program, marking the first cooperation project between Xiaomi and Sun Yat-sen University, providing more internship and employment opportunities for students.
On September 3rd, the Advanced Manufacturing Intelligence Laboratory welcomed two new members, Dr. Zhang Jianyu and Master Zhu Yizhang officially joined the laboratory, injecting new academic vitality into the team.
Professor Feng Jianshe was invited to conduct specialized training on industrial artificial intelligence for the Guangdong Province Industry and Information Technology Department, contributing professional expertise to Guangdong Province's new quality productive forces development.
e-works Digital Enterprise Network sat down with Prof. Jianshe Feng for an in-depth interview on why predictive maintenance is so difficult to scale beyond the pilot stage. He proposes a systematic industrial intelligence methodology to escape the 'pilot trap', covering data collection strategy, model development workflow, and the critical factors for integrating PdM into enterprise business systems.
Associate Professor Feng Jianshe delivered an in-depth lecture on employment market dynamics and personal job search strategies for undergraduate students of grades 21 and 22, helping them stand out in the competitive job market.
