“As for the future, your task is not to foresee it, but to enable it.”

Brief Bio

I am a seasoned professional with 20+ years of excellence at the intersection of academia and industry. I have been holding a unique position that marries profound academic research with tangible industrial innovation. My career is a testament to the synergy between deep scholarly investigation and the practical application of technology to address complex challenges in society.

My career is a bridge between the theoretical and the applied, the academic and the industrial. It is driven by a commitment to excellence, a passion for innovation, and a dedication to contributing meaningful advancements in technology.

My contributions have been recognized through prestigious awards, including the National Award for Leading Group in Combating COVID-19 in 2020 (group award), the Beijing Special Contribution Award for Excellent Overseas Scholars Innovation and Entrepreneurship in 2018, the National Award for Enterprise Technological Management Innovation in 2017, among others.

As we navigate the future, I remain dedicated to exploring the boundaries of technology and its application, pushing the envelope of what is possible in both the scholarly and industrial domains. Join me on this journey of continuous discovery and impact, where each step forward is a stride towards reshaping the world through technological excellence.

Academia Experiences

My academic credentials are rooted in a rigorous education, with a PhD in Computer Science from the prestigious Yale University and a BSc from the University of Science and Technology of China (USTC). 

This solid academic foundation has fueled my engagement in groundbreaking research across a spectrum of areas, including artificial intelligence and its innovative applications in areas such healthcare and public safety, distributed systems & networks, and network system design. 

My academic tenure has been enriched with professorships at USTC and guest professorships at premier universities, including the University of Chinese Academy of Sciences, Beijing University of Posts and Telecommunications, and Capital Medical University. I was the inaugural dean for the School of Cyberspace Science at USTC, which is recognized as one of the few pioneering schools leading the cyberspace research and higher education in China.

My interdisciplinary pursuit has facilitated collaborations with eminent scholars globally, culminating in over 100 refereed publications. The significance of my scholarly work is underscored by a Google Scholar H-index of 31, an i10-index of 56, and more than 7200 citations.

A hallmark of my professional journey is the development of P4P (provider portal for applications), a concept that has significantly influenced the landscape of content-centric networking. which was published in ACM SIGCOMM 2008. ACM SIGCOMM represents the foremost academic community in the realm of data communication and computer networking. It is renowned for its annual conference that draws highest-caliber research contributions from both the academic and industrial sectors globally. To date, my initiative and research on P4P have garnered international recognition and acclaim, being featured in over 1,700 media outlets worldwide. My publication on P4P remains the most cited paper among those presented at ACM SIGCOMM 2008. In addition to this notable work, I have co-authored numerous highly cited papers presented at ACM SIGCOMM. Additionally, one of my other work on software defined networking was IEEE Digital Library's world-wide top 3 most downloaded in the first quarter, and one of the top 50 most downloaded in the first year, since its publication. 

My ability to foster innovation that transcends academic circles to find utility in practical applications is further evidenced by collaborations with leading tier-1 Internet Service Providers and application service providers worldwide.

Industrial Experiences

My industrial experiences have been enriched with various prestigious positions, including serving as the Executive Deputy Director of the National Engineering Laboratories for Big Data Application, the founding and inaugural director of Innovation Center with a world-wide leader Fortune-300 corporation, and the founder and the inaugural director of the National Key Laboratory of Cyberspace Culture supported by the Ministry of Culture and Tourism, among others.

My past work's significant impact led to the establishment of the P4P Working Group (P4PWG) and its subsequent adoption by the Internet Engineering Task Force (IETF) as the foundational element for the new Application Layer Traffic Optimization (ALTO) Working Group. 

I have substantial industrial R&D experiences with the world's biggest Internet content distribution service provider, the world's biggest telecommunication vendor, the world's biggest electronics technology vendor, and one of the biggest software defined electronic vehicle vendors. 

During my tenure with these technology leaders, I had been responsible for building and managing extremely globally distributed, large, talented teams, members of which graduated from top universities such as MIT / Harvard / Yale / CMU, focusing on key technological products' development and delivery. Additionally, I had a substantial intellectual property portfolio of over 100 patents, of which 12 are granted in the US and more than 40 in China. 

Recent Selected Publications on Generative AI, Artificial Intelligence and its Applications

1. Y Zhao, X Wang, J Chen, Y Wang, W Tang, X He, H Xie. Time-aware Path Reasoning on Knowledge Graph for Recommendation. ACM Transactions on Information Systems. 41(2), (April 2023). 

2. J. Ni, S. Zhang, and H. Xie, “Dual adversarial semantics-consistent network for generalized zero-shot learning,” in Neural Information Processing Systems (NeurIPS), vol. 32, Dec. 2019, pp. 6143–6154

3. Mercury: Fast and Optimal Device Placement for Large Deep Learning Models. H Xu, P Zhou, H Xie, Y Liao. Proceedings of the 52nd International Conference on Parallel Processing, pp. 412-422. 2023

4. Guided Dropout: Improving Deep Networks Without Increased Computation. Y Liu, Y Li, Z Xu, X Liu, H Xie, H Zeng. INTELLIGENT AUTOMATION AND SOFT COMPUTING 36 (3), 2519-2528

5. Towards Secure Multi-Agent Deep Reinforcement Learning: Adversarial Attacks and Countermeasures. C Zheng, C Zhen, H Xie, S Yang. 2022 IEEE Conference on Dependable and Secure Computing (DSC), 1-8

6. On exploring multiplicity of primitives and attributes for texture recognition in the wild. W Zhai, Y Cao, J Zhang, H Xie, D Tao, ZJ Zha. in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 46, no. 1, pp. 403-420, Jan. 2024

7. W. Zhai, Y. Cao, H. Xie and Z. -J. Zha, "Deep Texton-Coherence Network for Camouflaged Object Detection," in IEEE Transactions on Multimedia, vol. 25, pp. 5155-5165, 2023

8. W. Zhai, Y. Cao, Z.-J. Zha, H. Xie, and F. Wu, “Deep structure-revealed network for texture recognition,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun. 2020, pp. 11 007–11 016. 

9. Y Yang, R Yang, Y Li, K Cui, Z Yang, Y Wang, J Xu, H Xie. RoSGAS: Adaptive Social Bot Detection with Reinforced Self-supervised GNN Architecture Search. ACM Transactions on the Web 17 (3), 1-31

10. M. Hu, H. Lin, J. Wang, C. Xu, A. J. Tatem, B. Meng, X. Zhang, Y. Liu, P. Wang, G. Wu, H. Xie, and S. Lai, “Risk of Coronavirus Disease 2019 Transmission in Train Passengers: an Epidemiological and Modeling Study,” Clinical Infectious Diseases, vol. 72, no. 4, pp. 604–610, Feb. 2021, issn: 1058-4838.

11. Y Yang, X Ni, Y Hao, C Liu, W Wang, Y Liu, H Xie. Mf-gan: Multi-conditional fusion generative adversarial network for text-to-image synthesis. International Conference on Multimedia Modeling, pp. 41-53, 2022

12. M. Zhang, X. Liu, C. Liu, X. Zhang and H. Xie, "FST-Net: Exploiting Frequency Spatial Temporal Information for Low-Quality Fake Video Detection," 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI), Washington, DC, USA, 2021, pp. 536-543.