Jianke Zhu

Jianke Zhu is a Professor at the College of Computer Science and Technology of Zhejiang University. He obtained his Ph.D. in Computer Science and Engineering from The Chinese University of Hong Kong and conducted postdoctoral research at the BIWI Computer Vision Lab, ETH Zurich. His research focuses on Computer Vision and Machine Learning, with a particular emphasis on 3D scene understanding, LiDAR-based mapping, and neural rendering.

Dr. Zhu’s research spans several subfields, including 3D Reconstruction, Semantic Segmentation, Multimodal Learning, and Autonomous Driving. His work integrates Neural Networks, LiDAR Processing, and Uncertainty Quantification to address challenges in real-time and adverse conditions.

• Selected Recent Trends: 2025 publications highlight his work in Hexagonal Mesh-based Neural Rendering, Instance-aware 3D Scene Understanding, and Efficient Visual Projectors for Multimodal LLMs. Earlier works include Box2Mask for Instance Segmentation (2024) and Token Selection for Point Cloud Learning (2025).

Scientific Awards:

• Senior member of the IEEE

Advising and Grants: As a Doctoral Supervisor, he mentors students in advanced topics like LiDAR Odometry and Multi-view Stereo Recovery. His projects have attracted funding for autonomous driving, 3D scene modeling, and neural rendering.