Lizhao You | Network Security | Best Researcher Award

Assist. Prof. Dr. Lizhao You | Network Security | Best Researcher Award

Xiamen University, China

Profile

Google Scholar

πŸŽ“ Early Academic Pursuits

Dr. Lizhao You embarked on his academic journey in computer science at Nanjing University, earning both his Bachelor's (2009) and Master's (2013) degrees. He later pursued a Ph.D. in Information Engineering at The Chinese University of Hong Kong (2013–2016), where he delved into advanced wireless communication systems. His strong foundation in theoretical and applied computing provided a springboard for innovative research in next-generation networks.

πŸ’Ό Professional Endeavors

Dr. You began his professional career as a Principal Engineer at Huawei’s 2012 Labs (2016–2020), where he contributed to cutting-edge telecommunications research. In January 2021, he transitioned to academia as an Assistant Professor (and Ph.D. Supervisor) at the School of Informatics, Xiamen University, where he continues to merge research excellence with mentorship and instruction.

🧠 Contributions and Research Focus

His core research interests include Wireless Communication and Networks, Network Security, and Computer Networks. Dr. You has made significant strides in digital over-the-air computation, LoRa data aggregation, and network-coded multiple access systems. He applies rigorous algorithmic thinking to real-world networking problems, often leveraging deep reinforcement learning (DRL) and machine learning to optimize communication systems. His recent works explore federated learning, underwater acoustic communication, and dynamic channel bonding.

πŸ“ˆ Impact and Influence

Dr. You has published influential research articles in high-impact journals such as IEEE Transactions on Mobile Computing and IEEE/ACM Transactions on Networking, with multiple first-author papers in top venues. His innovations have led to granted U.S. patents, demonstrating both academic depth and practical relevance. His collaborative research with well-known experts, including Prof. S. C. Liew and Dr. Liqun Fu, has further broadened the reach of his contributions.

πŸ“š Academic Citations and Recognition

His research has been cited across leading venues, influencing both theoretical studies and applied engineering in wireless systems. With journal articles featured in IEEE/ACM TON, IEEE TMC, and contributions to premier conferences like IEEE ICC, IWQoS, and WCNC, Dr. You’s work resonates within the global communication research community.

πŸ› οΈ Technical Skills

Dr. You is proficient in areas such as network protocol design, wireless signal processing, physical-layer coding, and deep learning for communications. His ability to integrate system implementation with analytical modeling allows him to bridge the gap between theoretical innovation and engineering practice.

πŸ‘¨β€πŸ« Teaching Experience

Dr. You is a dedicated educator, teaching core and advanced courses like Wireless Communication, Hands-on Wireless Systems, and Scientific Paper Writing at Xiamen University. His interactive teaching style helps students grasp complex communication concepts, encouraging them to pursue research with real-world impact.

🧾 Professional Service & Editorial Roles

An active member of professional societies including ACM, IEEE, CCF, CIE, and CIC, Dr. You contributes as a reviewer for numerous IEEE/ACM journals and as a Guest Editor for MDPI Mathematics in a special issue on network security. He also regularly serves on technical program committees for major conferences, including WASA, HPCC, and ICCC.

🌍 Legacy and Future Contributions

As a mentor, inventor, and educator, Dr. You is building a legacy in next-generation network systems, wireless technologies, and secure communications. His future research aims to revolutionize how networks adapt to dynamic environments, especially in edge intelligence, IoT, and federated learning systems. By combining AI and communication theory, Dr. You is set to influence how future digital infrastructure will operate efficiently and securely.

Selected Publications

  • Title: Broadband digital over-the-air computation for asynchronous federated edge learning
    Authors: L. You, X. Zhao, R. Cao, Y. Shao, L. Fu*
    Journal: IEEE Transactions on Mobile Computing
    Year: 2024 (Vol. 23, No. 5, pp. 5212–5228)

  • Title: Quick and reliable LoRa data aggregation through multi-packet reception
    Authors: L. You, Z. Tang, P. Wang, Z. Wang, H. Dai, Liqun Fu*
    Journal: IEEE/ACM Transactions on Networking
    Year: 2024 (Vol. 32, No. 2, pp. 1616–1630)

  • Title: Fast configuration change impact analysis for network overlay data center networks
    Authors: L. You*, J. Zhang, Y. Jin, H. Tang, X. Li
    Journal: IEEE/ACM Transactions on Networking
    Year: 2022 (Vol. 30, No. 1, pp. 423–436)

  • Title: Reliable physical-layer network coding supporting real applications
    Authors: L. You*, S. C. Liew, L. Lu
    Journal: IEEE Transactions on Mobile Computing
    Year: 2017 (Vol. 16, No. 8, pp. 2334–2350)

  • Title: Network-coded multiple access II: Toward real-time operation with improved performance
    Authors: L. You*, S. C. Liew, L. Lu
    Journal: IEEE Journal on Selected Areas in Communications
    Year: 2015 (Vol. 33, No. 2, pp. 264–280)

 

Dr. Zhaoyang Wang | Cybersecurity | Best Researcher Award

Dr. Zhaoyang Wang | Cybersecurity | Best Researcher Award

Institute of Information Engineering, Chinese Academy of Sciences, China.

Wang Zhaoyang is a Ph.D. student at the Key Laboratory of Cyberspace Security Defense, Institute of Information Engineering, Chinese Academy of Sciences, and the School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China. His research focuses on differential privacy, data security, privacy protection in big data systems, and machine learning, contributing to cutting-edge advancements in cybersecurity and data privacy.

Profile

Scopus

πŸŽ“ Education

Wang Zhaoyang is currently pursuing a Ph.D. in Cyber Security at the University of Chinese Academy of Sciences, Beijing, China. His research focuses on differential privacy, data security, and privacy protection in big data systems, with an emphasis on developing secure and efficient solutions for modern cybersecurity challenges.

πŸ’Ό Experience

Wang Zhaoyang is a researcher at the Key Laboratory of Cyberspace Security Defense, Institute of Information Engineering, where he explores advanced topics in cybersecurity, differential privacy, and data security. As a Graduate Research Assistant specializing in cyber security and data privacy, he actively contributes to cutting-edge research on privacy protection in big data systems, secure machine learning, and distributed storage solutions. His work aims to enhance the security and efficiency of modern computing environments, addressing critical challenges in data protection and cyber defense.

πŸ”¬ Research Interests

πŸ›‘οΈ Differential Privacy – Ensuring data protection while preserving utility.

πŸ” Data Security – Developing secure storage and transmission solutions.

πŸ” Privacy Protection in Big Data – Enhancing privacy measures in large-scale data systems.

πŸ€– Machine Learning & Privacy – Securing AI models against adversarial attacks.

πŸ“š Selected Publications

TurboLog: A Turbocharged Lossless Compression Method for System Logs via Transformer – IJCNN 2024

A Distributed Storage System for System Logs Based on Hybrid Compression Scheme – ISPA/BDCloud/SocialCom/SustainCom 2023| Cited by 1

PRISPARK: Differential Privacy Enforcement for Big Data Computing in Apache Spark – IEEE SRDS 2023

A General Backdoor Attack to Graph Neural Networks Based on Explanation Method – TrustCom 2022 | Cited by 2

Deepro: Provenance-based APT Campaigns Detection via GNN – TrustCom 2022.