Mr. chao zheng | computer science | Best Researcher Award

Mr. chao zheng | computer science | Best Researcher Award

Mr. chao zheng, manager, tencent, China.

Chao Zhen is a leading researcher in computer vision and artificial intelligence, currently heading the Computer Vision Research team at Tencent Map. He is widely recognized for his expertise in autonomous driving and machine perception. Over the years, he has driven innovation in 3D perception and semantic understanding within autonomous systems. His work regularly appears in prestigious conferences such as AAAI, ICCV, ECCV, and WACV. With a growing impact in AI and computer vision, he continues to push the boundaries of real-world applications. His collaborative research has earned accolades like the IAAI Application Innovation Award.

Publication Profile

Scopus

Google Scholar

🎓 Education Background

Chao Zhen holds a solid academic foundation in artificial intelligence and computer vision. While specific institutional details of his degrees are not publicly listed, his prolific publication record in high-impact conferences like ICCV, ECCV, and AAAI indicates deep formal training, likely at top-tier universities or research institutes. His education has equipped him with advanced theoretical and practical knowledge in machine learning, 3D scene understanding, and multimodal AI—forming the cornerstone of his success in autonomous driving research. Through continuous learning and collaboration, he has established himself as a technical leader in AI and robotics.

💼 Professional Experience

Chao Zhen currently leads the Computer Vision Research team at Tencent Map, focusing on enabling intelligent mapping and scene understanding for autonomous vehicles. His professional journey spans several years of active involvement in cutting-edge research and development of AI-powered vision systems. Under his leadership, the team contributes to next-gen perception modules and vision-language systems for driving environments. He actively collaborates with academic and industrial partners, guiding projects from prototype to deployment. His role integrates both technical depth and strategic foresight in aligning AI research with scalable real-world applications.

🏆 Awards and Honors

Chao Zhen’s outstanding contributions have been recognized with several prestigious honors, most notably the IAAI Application Innovation Award, awarded for impactful AI-driven applications. His co-authored work has gained traction in premier AI and computer vision conferences, a testament to its relevance and innovation. These accolades highlight his contributions to advancing practical autonomous driving solutions using sophisticated machine perception models. Beyond awards, his publications continue to receive high citation counts, reflecting his influence in the research community and his pivotal role in shaping the future of AI-driven transportation systems.

🔬 Research Focus

Chao Zhen’s research centers around artificial intelligence, computer vision, and machine learning, with a strong focus on 3D perception and reconstruction for autonomous driving. His work bridges data-driven learning techniques with real-world challenges, such as lidar-based segmentation, topological reasoning, and vision-language integration. He explores multimodal systems that combine point cloud data, semantic maps, and language to build robust scene understanding. Through projects like MapLM and 2DPASS, he advances scalable solutions for urban mobility. His innovations pave the way for safer, smarter, and more interpretable autonomous systems leveraging the synergy of AI modalities.

📌 Conclusion

Chao Zhen stands out as a forward-thinking AI researcher and industry leader in the realm of autonomous driving. His innovative vision and commitment to research excellence have resulted in influential publications, impactful industry contributions, and prestigious recognitions. By fusing deep technical insights with real-world needs, he is helping shape the next generation of intelligent vehicles. His ongoing efforts in 3D scene understanding, multimodal AI, and semantic modeling are not only transforming how machines perceive the world but also driving the future of intelligent transportation.

📚 Top Publications Notes

  1. A Survey on Multimodal Large Language Models for Autonomous Driving
    Year: 2024
    Journal/Conference: IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
    Cited by: 426 articles

  2. 2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds
    Year: 2022
    Journal/Conference: European Conference on Computer Vision (ECCV)
    Cited by: 326 articles

  3. MapLM: A Real-World Large-Scale Vision-Language Dataset for Map and Traffic Scene Understanding
    Year: 2024
    Journal/Conference: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
    Cited by: 10 articles

  4. MapLM Benchmark: Real-World Vision-Language Benchmark for Traffic Scene Understanding
    Year: 2024
    Journal/Conference: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
    Cited by: 35 articles

  5. RelTopo: Enhancing Relational Modeling for Driving Scene Topology Reasoning
    Year: 2025
    Journal: arXiv preprint
    Cited by: In press (citation data to be updated)

  6. Cross-Modal Semantic Transfer for Point Cloud Semantic Segmentation
    Year: 2025
    Journal: ISPRS Journal of Photogrammetry and Remote Sensing
    Cited by: 1 article

  7. Topo2Seq: Enhanced Topology Reasoning via Topology Sequence Learning
    Year: 2025
    Journal: arXiv preprint
    Cited by: 1 article

  8. Position: Autonomous Driving & Multimodal LLMs
    Year: 2025
    Journal: Winter Conference on Applications of Computer Vision (WACV)
    Cited by: 8 articles

 

Wing Keung Ip | Human-Computer | Best Researcher Award

Dr. Wing Keung Ip | Human-Computer | Best Researcher Award

Senior Lecturer in Occupational Therapy, University of Bedfordshire, United Kingdom

Dr. Wing Keung Ip (Benson)  is a seasoned occupational therapist and academic with extensive experience in health technology, dementia care, and community rehabilitation. Currently serving as a Senior Lecturer at the University of Bedfordshire, Dr. Ip brings a dynamic combination of clinical expertise and teaching passion to the fields of occupational therapy and allied health professions. He is the Director of Eden Initiative (HK), and has played key roles in both local and international health projects, from clinical education to aged care innovations. His multi-national registrations and academic appointments highlight his commitment to global health and inclusive rehabilitation services. 🌍

Publication Profile

Scopus

🎓 Education Background

Dr. Ip earned his Doctor of Philosophy in 2024 from the University of Southern Queensland, Australia. He holds a Master of Arts in Guidance and Counseling (1996) from the University of Durham, UK, and a BSc (Hons) in Psychology (1995) from Liverpool JM University, UK. Earlier, he completed a Professional Diploma in Occupational Therapy (1992) at The Hong Kong Polytechnic University. His clinical and academic training spans advanced certifications, including Eden Alternative Education, DementiAbility Methods, and Sensory Integration Therapy from institutions across Hong Kong, Australia, and the U.S. 📘🎓

💼 Professional Experience

Dr. Ip’s career spans over three decades, starting in 1996 as an Occupational Therapist at The Hong Kong Society for Rehabilitation. He served in various leadership roles including Chief of Service and Manager of Day Rehabilitation and Aged Care programs (2008–2016). From 2015, he expanded his scope internationally, offering OT services in forensic mental health in New Zealand. He served as a lecturer at Plymouth University and currently teaches and supervises students at the University of Bedfordshire. His consultancy and guest lectureship roles at institutions like Tung Wah College, The University of Queensland, and The Education University of Hong Kong reflect his strong influence on clinical education across Asia-Pacific. 🏥📚

🏅 Awards and Honors

Dr. Ip has been recognized for his global contributions with appointments as an Honorary Project Assessor for WHO-aligned rehabilitation projects in Ethiopia and Mozambique (2019–2022) and as an Eden Alternative Regional Educator (2020–2022). He has served as a Mentor for OT students at top universities including East Anglia and Newcastle. Additionally, he has held external leadership roles, such as Sub-Committee Member for the Salvation Army HK and the Hong Kong Association of Gerontology, contributing to dementia and gerontology education development. 🌟🌍

🔬 Research Focus

Dr. Ip’s primary research interests include health technology in rehabilitation, dementia care education, stroke rehabilitation in community settings, and chronic disease self-management. He emphasizes innovation in elder care using approaches like the Montessori Method for dementia and advocates intergenerational learning models in allied health education. His PhD and publications are rooted in enhancing the quality of life for aging populations through technology and culturally responsive interventions. 🧠📱

📝 Conclusion

Dr. Wing Keung Ip is an influential figure in occupational therapy and geriatric care, with a deep-rooted commitment to education, innovation, and international collaboration. Through academic leadership, clinical excellence, and global mentorship, he continues to shape the future of rehabilitative sciences and empower professionals across borders. 🌏📖

📚 Top Publications Notes

An Exploratory Study on Virtual Reality Technology for Fall Prevention in Older Adults with Mild Cognitive Impairment

Innovative Virtual Reality (VR) Application for Preventing of Falls among Chinese Older Adults: A Usability and Acceptance Exploratory Study

Integrating Montessori-Based Dementia Care in Community Rehabilitation.

International Journal of Geriatric Therapy, Link, Cited by 15 articles

Health Technology and Aging: A Digital Future for Rehabilitation.

Journal of HealthTech and Aging, Link, Cited by 22 articles

The Eden Alternative in East Asia: Cultural Adaptation and Application.

Asian Journal of Elder Care, Link, Cited by 10 articles

 Training OT Students in Forensic Mental Health: A New Pedagogical Approach.

Journal of Allied Health Education, Link, Cited by 7 articles