Zhengqing Wang

Zhengqing (Eric) Wang

I'm a Ph.D. student at Simon Fraser University, advised by Prof. Yasutaka Furukawa at GrUVi lab. I'm also a research intern at Wayve AI as part of the Wayve Labs, supervised by Matthew Brown. Previously, I received B.Sc. in Computer Science from Simon Fraser University in 2024, where I worked with Prof. Yasutaka Furukawa and Prof. Xing-Dong Yang.

My current research focuses on building next-generation geometry foundation models, which includes leveraging unlabelled video for self-supervised learning to improve a wide range of downstream 3D tasks.

Email / Google Scholar / Github / LinkedIn

Publications

* indicates equal contribution

	LA-Pose: Latent Action Pretraining Meets Pose Estimation Zhengqing Wang, Saurabh Nair, Prajwal Chidananda, Pujith Kachana, Samuel Li, Matthew Brown, Yasutaka Furukawa CVPR*, 2026 project page / arXiv / blog
	CLiFT: Compressive Light-Field Tokens for Compute-Efficient and Adaptive Neural Rendering Zhengqing Wang, Yuefan Wu, Jiacheng Chen, Fuyang Zhang, Yasutaka Furukawa NeurIPS, 2025 (spotlight) project page / arXiv / code
	MEGA-Bench: Scaling Multimodal Evaluation to over 500 Real-World Tasks Jiacheng Chen, Tianhao Liang, Sherman Siu, Zhengqing Wang, Kai Wang, Yubo Wang, Yuansheng Ni, Wang Zhu, Ziyan Jiang, Bohan Lyu, Dongfu Jiang, Xuan He, Yuan Liu, Hexiang Hu, Xiang Yue, Wenhu Chen ICLR*, 2025 project page / arXiv / code / leaderboard
	PuzzleFusion++: Auto-agglomerative 3D Fracture Assembly by Denoise and Verify Zhengqing Wang, Jiacheng Chen, Yasutaka Furukawa ICLR, 2025 project page / arXiv / code
	BrepGen: A B-rep Generative Diffusion Model with Structured Latent Geometry Xiang Xu, Joseph G. Lambourne, Pradeep Kumar Jayaraman, Zhengqing Wang, Karl D.D. Willis, Yasutaka Furukawa ACM SIGGRAPH, 2024 project page / arXiv / code
	Laser-Powered Vibrotactile Rendering Yuning Su, Yuhua Jin, Zhengqing Wang, Yonghao Shi, Da-Yuan Huang, Teng Han, Xing-Dong Yang Ubicomp, 2023 pdf

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