Zihao Li | Machine Learning in Physics | Best Researcher Award

Mr. Zihao Li | Machine Learning in Physics | Best Researcher Award

Mr. Zihao Li | Xi’an Jiaotong-Liverpool University | China

Zihao Li is an emerging talent in Data Science with a strong foundation in Information Management and Information Systems. Currently pursuing his Master’s degree at Xi’an Jiaotong-Liverpool University, he has demonstrated exceptional leadership and problem-solving skills through impactful academic projects and professional roles. His undergraduate studies at Shandong University of Finance and Economics were marked by consistent academic excellence, innovative thinking, and multiple scholarships for outstanding performance. Zihao has led diverse project teams, designing and implementing systems such as a community second-hand furniture trading platform and a ride-hailing application, showcasing his technical expertise in frameworks like Spring Boot and JavaWeb. His extracurricular engagements, including positions in academic and management organizations, highlight his ability to manage operations, coordinate teams, and strategize effectively. With a blend of analytical acumen, technological proficiency, and collaborative leadership, Zihao stands out as a promising contributor to advancing data-driven research and innovative technology solutions.

Author Profile

ORCID

Education

Zihao Li is currently enrolled in the Data Science program at the XJTLU-JITRI Academy of Industrial Technology, Xi’an Jiaotong-Liverpool University. His academic journey began at the Shandong University of Finance and Economics, where he majored in Information Management and Information Systems. His dedication to excellence was recognized through the First-class Scholarship for two consecutive years, the Special Scholarship for Innovation and Entrepreneurship, and the Best Volunteer in Social Practice in Weifang City. This academic background has equipped him with strong technical knowledge, research capability, and a deep understanding of data-driven systems. His formal education forms a solid foundation for his contributions to applied research and innovative industrial technology development.

Experience

Zihao Li’s experience spans academic research, project leadership, and corporate strategy support. As Group Leader, he directed projects such as a community second-hand furniture trading system and a JavaWeb-based ride-hailing platform, managing team coordination, coding accuracy, testing, and documentation. Professionally, he served as Assistant Management at Shenzhou Medical Technology Co., Ltd., assisting in strategic planning, data collection, academic conference organization, and technical project execution. His extracurricular leadership roles include Vice Secretary-General of the Student Union Federation at SDUFE and Vice Minister in the Model United Nations, where he honed event planning, public speaking, and cross-team collaboration skills. This blend of hands-on project experience and organizational leadership positions him as a resourceful, multidisciplinary professional ready for advanced research challenges.

Awards and Honors

Zihao Li has been recognized for his academic excellence, innovation, and service contributions. At Shandong University of Finance and Economics, he earned the First-class Scholarship in both the 2019/2020 and 2020/2021 academic years for outstanding academic performance. His creativity and entrepreneurial mindset were celebrated with the Special Scholarship for Innovation and Entrepreneurship. His commitment to community engagement was honored through the Best Volunteer in Social Practice in Weifang City (December 2021). These distinctions reflect his dedication to both scholarly achievement and societal impact, highlighting a well-rounded profile that blends intellectual merit, leadership, and community service.

Research Focus

Zihao Li’s research interests center on data science applications, intelligent systems, and digital platform development. He is particularly focused on designing efficient, user-friendly digital trading platforms, urban mobility solutions, and integrated information management systems. His academic projects have explored optimizing system architecture, improving security protocols, and enhancing user experience through robust backend development. With a foundation in Spring Boot and JavaWeb frameworks, he aims to expand his research into big data analytics, machine learning applications, and AI-driven decision support systems. His goal is to bridge the gap between technological innovation and practical industry needs, contributing to the development of scalable, secure, and sustainable digital solutions for modern communities.

Publication

Multimodal Temporal Knowledge Graph Embedding Method Based on Mixture of Experts for Recommendation

Authors: Bingchen Liu, Guangyuan Dong, Zihao Li, Yuanyuan Fang, Jingchen Li, Wenqi Sun, Bohan Zhang, Changzhi Li, Xin Li
Journal: Mathematics
Year: 2025

Conclusion 

Zihao Li’s academic excellence, technical innovation, and leadership achievements create a strong foundation for impactful research. His commitment to bridging theoretical concepts with real-world solutions demonstrates his potential to contribute significantly to his field. With continued research outputs and global engagement, he is well-positioned to emerge as a distinguished figure in data science and applied technology research.

Bin Liu | Machine Learning in Physics | Best Researcher Award

Prof. Bin Liu | Machine Learning in Physics | Best Researcher Award

E-Surfing Digital Life Co., Limited | China

Bin Liu is a renowned expert in the fields of AI, deep learning, Bayesian methods, reinforcement learning, and embodied intelligence. He holds a Ph.D. in Signal and Information Processing from the Chinese Academy of Sciences and has contributed significantly to the development of AI algorithms with cross-disciplinary applications spanning robotics, physics, brain-computer interfaces, and more. Currently, he serves as the Chief Robot Expert at E-Surfing Digital Life Technology Co. Ltd., China Telecom Group, and continues to lead impactful research in AI and robotics.

👨‍🎓 Profile

Google scholar

Scopus

Orcid

Early Academic Pursuits 🎓

Bin Liu began his academic journey at Beijing University of Posts and Telecommunications, earning a Bachelor’s degree in Automation. His deep interest in signal processing led him to pursue a Ph.D. at the Chinese Academy of Sciences under the mentorship of Prof. Chaohuan Hou, an IEEE Fellow and Academician of the Chinese Academy of Sciences. His doctoral research laid the foundation for his future contributions to AI and computational methods.

Professional Endeavors 💼

Bin Liu has held various prestigious positions in leading tech and academic institutions. His roles include Senior Research Fellow in AI at Midea Group, Team Leader at Zhejiang Lab, and Senior Algorithm Expert at Alibaba Group. He has also served as Associate Professor at Nanjing University of Posts and Telecommunications (NUPT) and Visiting Faculty at institutions such as Carnegie Mellon University and Duke University. His leadership positions reflect his vast influence in shaping AI research and development.

Contributions and Research Focus 🔬

Bin Liu’s research has made remarkable strides in deep learning, Bayesian inference, reinforcement learning, and robotics. He is currently focused on the development of large pre-trained AI models and embodied robot systems. His work on reinforcement learning algorithms and dynamic multi-model ensembling has contributed to solving complex AI challenges, particularly in robotics and automation.

Academic Cites 📚

Bin Liu’s research has garnered widespread recognition in the academic community, with numerous citations on platforms like Google Scholar, ResearchGate, and DBLP. His work is frequently referenced in AI conferences such as ICML, ICLR, NeurIPS, and CVPR, solidifying his stature in the global AI research community.

Research Skills 🔧

Bin Liu possesses a broad skill set, including expertise in statistical modeling, Bayesian statistics, deep learning algorithms, and robotics. His multidisciplinary approach allows him to tackle complex problems by integrating knowledge from areas such as optimization, signal processing, and reinforcement learning. He has demonstrated the ability to transform theoretical models into practical, scalable solutions for real-world applications.

Teaching Experience 📖

Beyond research, Bin Liu is deeply committed to education. He holds Adjunct Professorships at prestigious institutions like Zhejiang University and the Institute of Software, Chinese Academy of Sciences. As a Guest PhD Advisor, he mentors aspiring researchers, guiding them through advanced topics in AI and machine learning. His teaching and mentoring contribute to the next generation of AI experts and robotics innovators.

Awards and Honors 🏆

Bin Liu’s contributions to science and technology have earned him numerous accolades, including:

  1. MIT Technology Review Intelligent Computing Annual Innovator in China (April 2024)
  2. CVPR’23 SoccerNet Challenge Runner-Up (June 2023)
  3. Best Paper Award, ICACI 2018
  4. Research Achievement Award by APSCIT (2017)
  5. High-level Talent in Hangzhou City (2020)

These awards highlight his exceptional innovation and leadership in AI and technology.

Legacy and Future Contributions 🌟

Bin Liu’s long-term contributions continue to shape the trajectory of AI research and robotics. His focus on large pre-trained models and embodied AI systems will likely lead to significant breakthroughs in automation, robot-human interaction, and AI-enabled industries. His ongoing work is poised to make lasting impacts on how we integrate AI into everyday life, making him a pioneer in the evolving field of AI and robotics.

  Publications Top Notes

Annealed adaptive importance sampling method in PINNs for solving high dimensional partial differential equations

  • Authors: Zhengqi Zhang, Jing Li, Bin Liu
    Journal: Journal of Computational Physics
    Year: 2025

FADS: Fourier-Augmentation Based Data-Shunting for Few-Shot Classification

  • Authors: Shuai Shao, Yan Wang, Bin Liu, Weifeng Liu, Yanjiang Wang, Baodi Liu
    Journal: IEEE Transactions on Circuits and Systems for Video Technology
    Year: 2024

Stochastic Weight Averaging Revisited

  • Authors: Hao Guo, Jiyong Jin, Bin Liu
    Journal: Applied Sciences
    Year: 2023

Robust Dynamic Multi-Modal Data Fusion: A Model Uncertainty Perspective

  • Authors: Bin Liu
    Journal: IEEE Signal Processing Letters
    Year: 2021

A Survey on Trust Modeling from a Bayesian Perspective

  • Authors: Bin Liu
    Journal: Wireless Personal Communications
    Year: 2020