Hanyu Wang

Hanyu Wang 王涵玉

Research Scientist at Luma AI

Generative AI · Foundation Models · World Modeling

About

I am a Research Scientist at Luma AI, where I work on multimodal generative models and contribute to Uni, Luma's first model to unify multimodal understanding and generation. I received my Ph.D. in Computer Science from the University of Maryland, College Park, advised by Prof. Abhinav Shrivastava, in 2025.

My research focuses on generative AI and unified multimodal models for visual generation, video modeling, and broader world modeling.

Selected Work

Luma Uni-1
Uni-1: Luma's Unified Multimodal Reasoning and Generation Model
Luma AI · core contributor to the Uni-1.x series
2026

Uni-1 is a multimodal reasoning model that understands intention, responds to direction, and generates pixels.

Project Technical Specs
NeRV-Diffusion
NeRV-Diffusion: Diffuse Implicit Neural Representations for Video Synthesis
Yixuan Ren, Hanyu Wang, Hao Chen, Bo He, Abhinav Shrivastava
ICLR 2026
Project arXiv Paper
Bridge
Growing Visual Generative Capacity for Pre-Trained MLLMs
Hanyu Wang*, Jiaming Han*, Ziyan Yang, Qi Zhao, Shanchuan Lin, Xiangyu Yue, Abhinav Shrivastava, Zhenheng Yang, Hao Chen
ICLRW 2026
Project arXiv Code
Tar
Vision as a Dialect: Unifying Visual Understanding & Generation via Text-Aligned Representations
Jiaming Han, Hao Chen, Yang Zhao, Hanyu Wang, Qi Zhao, Ziyan Yang, Hao He, Xiangyu Yue, Lu Jiang
NeurIPS 2025
Project arXiv Code
LARP
LARP: Tokenizing Videos with a Learned Autoregressive Generative Prior
Hanyu Wang, Saksham Suri, Yixuan Ren, Hao Chen, Abhinav Shrivastava
ICLR 2025 Oral
Project arXiv Code
DPG
Solving General Noisy Inverse Problem via Posterior Sampling: A Policy Gradient Viewpoint
Haoyue Tang, Tian Xie, Aosong Feng, Hanyu Wang, Chenyang Zhang, Yang Bai
AISTATS 2024
Project arXiv Code
MMIST
Multimodality-guided Image Style Transfer using Cross-modal GAN Inversion
Hanyu Wang, Pengxiang Wu, Kevin Dela Rosa, Chen Wang, Abhinav Shrivastava
WACV 2024
Project arXiv Code
Chop & Learn
Chop & Learn: Recognizing and Generating Object-State Compositions
Nirat Saini*, Hanyu Wang*, Archana Swaminathan, Vinoj Jayasundara, Bo He, Kamal Gupta, Abhinav Shrivastava
ICCV 2023
Project arXiv
D-NeRV
Towards Scalable Neural Representation for Diverse Videos
Bo He, Xitong Yang, Hanyu Wang, Zuxuan Wu, Hao Chen, Shuaiyi Huang, Yixuan Ren, Ser-Nam Lim, Abhinav Shrivastava
CVPR 2023
Project arXiv Code
NIRVANA
NIRVANA: Neural Implicit Representations of Videos with Adaptive Networks
Shishira R Maiya*, Sharath Girish*, Max Ehrlich, Hanyu Wang, Kwot Sin Lee, Patrick Poirson, Pengxiang Wu, Chen Wang, Abhinav Shrivastava
CVPR 2023
Project arXiv
Neural SFC
Neural Space-filling Curves
Hanyu Wang, Kamal Gupta, Larry Davis, Abhinav Shrivastava
ECCV 2022
Project arXiv Code
NeRV
NeRV: Neural Representations for Videos
Hao Chen, Bo He, Hanyu Wang, Yixuan Ren, Ser-Nam Lim, Abhinav Shrivastava
NeurIPS 2021
Project arXiv Code
Shape Descriptors
Learning local shape descriptors for computing non-rigid dense correspondence
Jianwei Guo, Hanyu Wang, Zhanglin Cheng, Xiaopeng Zhang, Dong-Ming Yan
Computational Visual Media, 2020
Paper
3D Keypoint Descriptors
Learning 3D keypoint descriptors for non-rigid shape matching
Hanyu Wang*, Jianwei Guo*, Dong-Ming Yan, Weize Quan, Xiaopeng Zhang
ECCV 2018
Paper