Dr. Jiangning Zhang, Zhejiang University, China
Dr. Jiangning Zhang, a Principal Researcher at YouTu Lab, Tencent in Shanghai, holds a Ph.D. in Control Science and Engineering and an M.D. from Zhejiang University, as well as a B.S. in Electronic Information from Wuhan University. He leads the Industry Perception and AIGC teams, focusing on neural architecture design, particularly transformer-based and lightweight vision models. Dr. Zhang’s research spans multi-modal AIGC, including image and video generation, human-centric editing, and virtual digital human technologies, and extends to 3D scene segmentation with foundation models for visual anomaly classification. His work drives advancements in cutting-edge technologies and applications in artificial intelligence and computer vision.
Professional Profile:
Suitability for the Award
Dr. Jiangning Zhang is highly suitable for the Best Researcher Award for the following reasons:
- Innovative Research Contributions:
- Dr. Zhang’s work in neural architecture design and multi-modal generative models has advanced the field of computer vision and AI. His research on transformer-based architectures and lightweight vision models contributes to the efficiency and effectiveness of AI systems.
- His involvement in developing multi-modal GANs, VAEs, and diffusion models for various applications, including 2D/3D digital human generation and motion generation, demonstrates significant innovation and impact in the field.
- High-Impact Publications:
- Dr. Zhang has published influential papers in top-tier conferences such as ICCV and TIP, showcasing his contributions to cutting-edge research. His work on efficient attention-based models and anomaly detection reflects his expertise and impact on the academic community.
- Leadership and Influence:
- As a Principal Researcher at Tencent’s YouTu Lab, Dr. Zhang leads teams working on industry perception and advanced AI-generated content, indicating his role in shaping future technologies and influencing both academic and industrial research.
- Relevance and Application:
- Dr. Zhang’s research addresses practical and emerging challenges in AI, such as image/video generation, digital human reconstruction, and scene segmentation. His work has practical applications in various industries, enhancing its relevance and impact.
Educational Background
Dr. Zhang earned his Ph.D. in Control Science and Engineering from Zhejiang University, Hangzhou, China, under the guidance of Prof. Yong Liu. He pursued his M.D. at the same institution and obtained his B.S. in Electronic Information from Wuhan University.
Current Position
Dr. Jiangning Zhang is a Principal Researcher leading the Industry Perception and AIGC teams at YouTu Lab, Tencent, Shanghai.
Research Interests
- Neural Architecture Design: Specializing in transformer-based architectures and lightweight vision models.
- Multi-modal AIGC Research: Investigating image and video generation, human-centric editing, and 2D/3D virtual digital human technologies, including reconstruction and animation.
- 3D Scene Segmentation: Utilizing foundation models for visual anomaly classification and segmentation.
Publication Top Notes:
-
Title: Omni-Frequency Channel-Selection Representations for Unsupervised Anomaly Detection
-
Title: Rethinking Mobile Block for Efficient Attention-Based Models
-
Title: Towards Open Vocabulary Learning: A Survey
-
Title: Multimodal Industrial Anomaly Detection via Hybrid Fusion
-
Title: Region-Aware Face Swapping