Peihao Wang

Orcid: 0000-0003-0657-1595

According to our database¹, Peihao Wang authored at least 57 papers between 2019 and 2025.

Collaborative distances:

Dijkstra number² of three.
Erdős number³ of four.

Timeline

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In proceedings

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On csauthors.net:

Bibliography

2025

SAS: Simulated Attention Score.

[BibT_eX]

[DOI]

CoRR, July, 2025

Why Neural Network Can Discover Symbolic Structures with Gradient-based Training: An Algebraic and Geometric Foundation for Neurosymbolic Reasoning.

[BibT_eX]

[DOI]

Peihao Wang

Zhangyang Wang

CoRR, June, 2025

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights.

[BibT_eX]

[DOI]

CoRR, June, 2025

Graph-KV: Breaking Sequence via Injecting Structural Biases into Large Language Models.

[BibT_eX]

[DOI]

CoRR, June, 2025

CryoFastAR: Fast Cryo-EM Ab Initio Reconstruction Made Easy.

[BibT_eX]

[DOI]

CoRR, June, 2025

DD-Ranking: Rethinking the Evaluation of Dataset Distillation.

[BibT_eX]

[DOI]

Baharan Mirzasoleiman

Manolis Kellis

Konstantinos N. Plataniotis

CoRR, May, 2025

Can Test-Time Scaling Improve World Foundation Model?

[BibT_eX]

[DOI]

CoRR, March, 2025

Rethinking Addressing in Language Models via Contexualized Equivariant Positional Encoding.

[BibT_eX]

[DOI]

CoRR, January, 2025

Why Neural Networks Can Discover Symbolic Structures with Gradient-based Training: An Algebraic and Geometric Foundation for Neurosymbolic Reasoning.

[BibT_eX]

[DOI]

Peihao Wang

Zhangyang (Atlas) Wang

Proceedings of the International Conference on Neuro-symbolic Systems, 2025

Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Steepest Descent Density Control for Compact 3D Gaussian Splatting.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Meta ControlNet: Enhancing Task Adaptation via Meta Learning.

[BibT_eX]

[DOI]

Proceedings of the Conference on Parsimony and Learning, 2025

SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Perspective-Aligned AR Mirror with Under-Display Camera.

[BibT_eX]

[DOI]

ACM Trans. Graph., December, 2024

Oscillation Inversion: Understand the structure of Large Flow Model through the Lens of Inversion Method.

[BibT_eX]

[DOI]

CoRR, 2024

Large Spatial Model: End-to-end Unposed Images to Semantic 3D.

[BibT_eX]

[DOI]

CoRR, 2024

Generalization Error Analysis for Sparse Mixture-of-Experts: A Preliminary Study.

[BibT_eX]

[DOI]

Jinze Zhao

Peihao Wang

Zhangyang Wang

CoRR, 2024

Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wild.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Large Spatial Model: End-to-end Unposed Images to Semantic 3D.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Read-ME: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design.

[BibT_eX]

[DOI]

Babak Ehteshami Bejnordi

Aditya Akella

Zhangyang Wang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Polynomial Width is Sufficient for Set Representation with High-dimensional Features.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

VersatileGaussian: Real-Time Neural Rendering for Versatile Tasks Using Gaussian Splatting.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Taming Mode Collapse in Score Distillation for Text-to-3D Generation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Lift3D: Zero-Shot Lifting of Any 2D Vision Model to 3D.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

POPE: 6-DoF Promptable Pose Estimation of Any Object, in Any Scene, with One Reference.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

NeRF as Pretraining at Scale: Generalizable 3D-Aware Semantic Representation Learning from View Prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Learning to Estimate 6DoF Pose from Limited Data: A Few-Shot, Generalizable Approach using RGB Images.

[BibT_eX]

[DOI]

Proceedings of the International Conference on 3D Vision, 2024

2023

Integrating the traffic science with representation learning for city-wide network congestion prediction.

[BibT_eX]

[DOI]

Inf. Fusion, November, 2023

Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Drag View: Generalizable Novel View Synthesis with Unposed Imagery.

[BibT_eX]

[DOI]

CoRR, 2023

POPE: 6-DoF Promptable Pose Estimation of Any Object, in Any Scene, with One Reference.

[BibT_eX]

[DOI]

CoRR, 2023

Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Data Efficient Neural Scaling Law via Model Reusing.

[BibT_eX]

[DOI]

Peihao Wang

Rameswar Panda

Zhangyang Wang

Proceedings of the International Conference on Machine Learning, 2023

Equivariant Hypergraph Diffusion Neural Operators.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning to Grow Pretrained Models for Efficient Transformer Training.

[BibT_eX]

[DOI]

Peihao Wang

Rameswar Panda

Lucas Torroba Hennigen

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Is Attention All That NeRF Needs?

[BibT_eX]

[DOI]

Subhashini Venugopalan

Zhangyang Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

NeRF-SOS: Any-View Self-supervised Object Segmentation on Complex Scenes.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Vision HGNN: An Image is More than a Graph of Nodes.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Enhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

NeuralLift-360: Lifting an in-the-Wild 2D Photo to A 3D Object with 360° Views.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

PINAT: A Permutation INvariance Augmented Transformer for NAS Predictor.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

TightCap: 3D Human Shape Capture with Clothing Tightness Field.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2022

Is Attention All NeRF Needs?

[BibT_eX]

[DOI]

Subhashini Venugopalan

Zhangyang Wang

CoRR, 2022

Neural Implicit Dictionary via Mixture-of-Expert Training.

[BibT_eX]

[DOI]

CoRR, 2022

Signal Processing for Implicit Neural Representations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Neural Implicit Dictionary Learning via Mixture-of-Expert Training.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Unified Implicit Neural Stylization.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

CADTransformer: Panoptic Symbol Spotting Transformer for CAD Drawings.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

SoGCN: Second-Order Graph Convolutional Networks.

[BibT_eX]

[DOI]

CoRR, 2021

Delayed Propagation Transformer: A Universal Computation Engine towards Practical Control in Cyber-Physical Systems.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019

Towards 3D Human Shape Recovery Under Clothing.

[BibT_eX]

[DOI]

CoRR, 2019

Peihao Wang

Timeline

Legend:

Links

On csauthors.net:

Bibliography

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