Fast Reading Comprehension with ConvNets. - Felix Wu; Ni Lao; John Blitzer; Guandao Yang; Kilian Q. Weinberger (CoRR, 2017)

Learning to Evaluate Image Captioning. - Yin Cui; Guandao Yang; Andreas Veit; Xun Huang; Serge J. Belongie (CVPR, 2018)

Deep Fundamental Matrix Estimation Without Correspondences. - Omid Poursaeed; Guandao Yang; Aditya Prakash 005; Qiuren Fang; Hanqing Jiang; Bharath Hariharan; Serge J. Belongie (ECCV Workshops (3), 2018)

Learning Single-View 3D Reconstruction with Limited Pose Supervision. - Guandao Yang; Yin Cui; Serge J. Belongie; Bharath Hariharan (CVPR Workshops, 2019)

Learning Data-Adaptive Interest Points through Epipolar Adaptation. - Guandao Yang; Tomasz Malisiewicz; Serge J. Belongie (CVPR Workshops, 2019)

PointFlow: 3D Point Cloud Generation With Continuous Normalizing Flows. - Guandao Yang; Xun Huang; Zekun Hao; Ming-Yu Liu 001; Serge J. Belongie; Bharath Hariharan (ICCV, 2019)

SWALP : Stochastic Weight Averaging in Low Precision Training. - Guandao Yang; Tianyi Zhang; Polina Kirichenko; Junwen Bai; Andrew Gordon Wilson; Christopher De Sa (ICML, 2019)

QPyTorch: A Low-Precision Arithmetic Simulation Framework. - Tianyi Zhang; Zhiqiu Lin; Guandao Yang; Christopher De Sa (EMC2@NeurIPS, 2019)

Learning Gradient Fields for Shape Generation. - Ruojin Cai; Guandao Yang; Hadar Averbuch-Elor; Zekun Hao; Serge J. Belongie; Noah Snavely; Bharath Hariharan (ECCV (3), 2020)

Stay Positive: Non-Negative Image Synthesis for Augmented Reality. - Katie Luo; Guandao Yang; Wenqi Xian; Harald Haraldsson; Bharath Hariharan; Serge J. Belongie (CVPR, 2021)

Geometry Processing with Neural Fields. - Guandao Yang; Serge J. Belongie; Bharath Hariharan; Vladlen Koltun (NeurIPS, 2021)

Polynomial Neural Fields for Subband Decomposition and Manipulation. - Guandao Yang; Sagie Benaim; Varun Jampani; Kyle Genova; Jonathan T. Barron; Thomas A. Funkhouser; Bharath Hariharan; Serge J. Belongie (NeurIPS, 2022)

Residual Aligned: Gradient Optimization for Non-Negative Image Synthesis. - Flora Yu Shen; Katie Luo; Guandao Yang; Harald Haraldsson; Serge J. Belongie (CoRR, 2022)

NeRF Revisited: Fixing Quadrature Instability in Volume Rendering. - Mikaela Angelina Uy; Kiyohiro Nakayama; Guandao Yang; Rahul Krishna Thomas; Leonidas J. Guibas; Ke Li 011 (NeurIPS, 2023)

Neural Caches for Monte Carlo Partial Differential Equation Solvers. - Zilu Li; Guandao Yang; Xi Deng; Christopher De Sa; Bharath Hariharan; Steve Marschner (SIGGRAPH Asia, 2023)

Geometry Processing with Neural Fields. - Guandao Yang (SIGGRAPH Asia Doctoral Consortium, 2023)

Learning a Diffusion Prior for NeRFs. - Guandao Yang; Abhijit Kundu; Leonidas J. Guibas; Jonathan T. Barron; Ben Poole (CoRR, 2023)

Orthogonal Adaptation for Modular Customization of Diffusion Models. - Ryan Po; Guandao Yang; Kfir Aberman; Gordon Wetzstein (CVPR, 2024)

GPT-4V(ision) is a Human-Aligned Evaluator for Text-to-3D Generation. - Tong Wu; Guandao Yang; Zhibing Li; Kai Zhang 045; Ziwei Liu 002; Leonidas J. Guibas; Dahua Lin; Gordon Wetzstein (CVPR, 2024)

BlenderAlchemy: Editing 3D Graphics with Vision-Language Models. - Ian Huang; Guandao Yang; Leonidas J. Guibas (ECCV (89), 2024)

MegaScenes: Scene-Level View Synthesis at Scale. - Joseph Tung; Gene Chou; Ruojin Cai; Guandao Yang; Kai Zhang 045; Gordon Wetzstein; Bharath Hariharan; Noah Snavely (ECCV (29), 2024)

PhysAvatar: Learning the Physics of Dressed 3D Avatars from Visual Observations. - Yang Zheng; Qingqing Zhao; Guandao Yang; Wang Yifan 001; Donglai Xiang; Florian Dubost; Dmitry Lagun; Thabo Beeler; Federico Tombari; Leonidas J. Guibas; Gordon Wetzstein (ECCV (37), 2024)

DiffusionPDE: Generative PDE-Solving under Partial Observation. - Jiahe Huang; Guandao Yang; Zichen Wang; Jeong Joon Park (NeurIPS, 2024)

FiVA: Fine-grained Visual Attribute Dataset for Text-to-Image Diffusion Models. - Tong Wu; Yinghao Xu 001; Ryan Po; Mengchen Zhang 001; Guandao Yang; Jiaqi Wang 003; Ziwei Liu 002; Dahua Lin; Gordon Wetzstein (NeurIPS, 2024)

Neural Control Variates with Automatic Integration. - Zilu Li; Guandao Yang; Qingqing Zhao; Xi Deng; Leonidas J. Guibas; Bharath Hariharan; Gordon Wetzstein (SIGGRAPH (Conference Paper Track), 2024)

Robust Symmetry Detection via Riemannian Langevin Dynamics. - Jihyeon Je; Jiayi Liu; Guandao Yang; Boyang Deng; Shengqu Cai; Gordon Wetzstein; Or Litany; Leonidas J. Guibas (SIGGRAPH Asia, 2024)

InfoGaussian: Structure-Aware Dynamic Gaussians through Lightweight Information Shaping. - Yunchao Zhang; Guandao Yang; Leonidas J. Guibas; Yanchao Yang 001 (CoRR, 2024)

AIpparel: A Large Multimodal Generative Model for Digital Garments. - Kiyohiro Nakayama; Jan Ackermann; Timur Levent Kesdogan; Yang Zheng; Maria Korosteleva; Olga Sorkine-Hornung; Leonidas J. Guibas; Guandao Yang; Gordon Wetzstein (CoRR, 2024)

Accurate Differential Operators for Hybrid Neural Fields. - Aditya Chetan; Guandao Yang; Zichen Wang; Steve Marschner; Bharath Hariharan (CVPR, 2025)

BlenderGym: Benchmarking Foundational Model Systems for Graphics Editing. - Yunqi Gu; Ian Huang; Jihyeon Je; Guandao Yang; Leonidas J. Guibas (CVPR, 2025)

AIpparel: A Multimodal Foundation Model for Digital Garments. - Kiyohiro Nakayama; Jan Ackermann; Timur Levent Kesdogan; Yang Zheng; Maria Korosteleva; Olga Sorkine-Hornung; Leonidas J. Guibas; Guandao Yang; Gordon Wetzstein (CVPR, 2025)

InfoGS: Efficient Structure-Aware 3D Gaussians via Lightweight Information Shaping. - Yunchao Zhang; Guandao Yang; Leonidas J. Guibas; Yanchao Yang 001 (ICLR, 2025)

Self-Calibrating Gaussian Splatting for Large Field of View Reconstruction. - Youming Deng; Wenqi Xian; Guandao Yang; Leonidas J. Guibas; Gordon Wetzstein; Steve Marschner; Paul E. Debevec (CoRR, 2025)

FlashDepth: Real-time Streaming Video Depth Estimation at 2K Resolution. - Gene Chou; Wenqi Xian; Guandao Yang; Mohamed Abdelfattah; Bharath Hariharan; Noah Snavely; Ning Yu 006; Paul E. Debevec (CoRR, 2025)

Animal Pose Labeling Using General-Purpose Point Trackers. - Zhuoyang Pan; Boxiao Pan; Guandao Yang; Adam W. Harley; Leonidas J. Guibas (CoRR, 2025)

Towards Vision-Language-Garment Models for Web Knowledge Garment Understanding and Generation. - Jan Ackermann; Kiyohiro Nakayama; Guandao Yang; Tong Wu; Gordon Wetzstein (CoRR, 2025)