Dongqing Wang

Dongqing Wang is a Doctoral Assistant and PhD candidate at the Image and Visual Representation Laboratory (IVRL), School of Computer and Communication Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland. He is advised by Prof. Sabine Süsstrunk and is currently on the academic job market. His work bridges computer graphics, 3D vision, and machine learning with a focus on neural rendering and visual representation.

• Bachelor of Science in Computer Science, Cornell University
• Master of Engineering, Cornell University

His research focuses on Neural Rendering, 3D Computer Vision, and Machine Learning, particularly in developing novel models for dynamic radiance fields, 3D-consistent object editing, and neural matting for transparent objects. He explores real-time stylization of volumetric effects and disentangled representations for relighting and novel view synthesis.

His recent publications in top venues like CVPR, ICCV, and BMVC demonstrate expertise in neural scene representation, 3D inpainting, and expressive visual synthesis. Trends include leveraging 3D priors for 2D editing, dynamic texture synthesis, and multimodal learning for visual effects.

• Qualcomm Innovation Fellowship 2024
• WiGRAPH Rising Star in Computer Graphics 2024

Dongqing Wang has contributed to research projects in human-robot interaction, music visualization, and on-skin interfaces during his studies. He has not been mentioned as advising students or leading grants, though his fellowship awards indicate competitive external funding. He is actively involved in the academic community, attending and presenting at major conferences such as SIGGRAPH.

He is affiliated with the Image and Visual Representation Lab (IVRL) at EPFL, a leading research group in computer vision and graphics, where he conducts research on next-generation visual representation models and tools.