Publications · Meng-Hao Guo

2026

Transferring the Intelligence of VLMs to Robotic Control

Meng-Hao Guo, Zhe-Han Mo, Jia-Jun Wang, Yi Zhang, Kejin Wang, Yi-Xuan Deng, Jia-Peng Zhang, Yongming Rao, Shi-Min Hu

arXiv preprint, 2026

Project Page Paper

Editable Proof Sketch for Automated Theorem Proving

Zikai Xiao, Hanzheng Wang, Meng-Hao Guo, Shi-Min Hu, Shing-Tung Yau

International Conference on Machine Learning (ICML), 2026

Paper

Pixal3D: Pixel-Aligned 3D Generation from Images

Dong-Yang Li, Wang Zhao, Yuxin Chen, Wenbo Hu, Meng-Hao Guo, Fang-Lue Zhang, Ying Shan, Shi-Min Hu

SIGGRAPH 2026

Paper

TopoCap: Learning Topology-Agnostic Motion Priors for Monocular Video-to-Animation

Cheng-Feng Pu, Jia-Peng Zhang, Meng-Hao Guo, Yan-Pei Cao, Shi-Min Hu

SIGGRAPH 2026 Conference Papers

Paper

Bridging VideoQA and Video-Guided Agentic Tasks via Generalized Keyframe Extraction

Sunqi Fan, Qingle Liu, Runqi Yin, Meng-Hao Guo, Shuojin Yang

European Conference on Computer Vision (ECCV), 2026

Paper

GPR: Towards a Generative Pre-trained One-Model Paradigm for Large-Scale Advertising Recommendation

Jun Zhang, Yi Li, Yue Liu, Changping Wang, Yuan Wang, Yuling Xiong, Xun Liu, Haiyang Wu, Qian Li, Enming Zhang, Jiawei Sun, Xin Xu, Zishuai Zhang, Ruoran Liu, Suyuan Huang, Zhaoxin Zhang, Zhengkai Guo, Shuojin Yang, Meng-Hao Guo, Huan Yu, Jie Jiang, Shi-Min Hu

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2026

Paper

Bee: A High-Quality Corpus and Full-Stack Suite to Unlock Advanced Fully Open MLLMs

Yi Zhang, Bolin Ni, Xin-Sheng Chen, Heng-Rui Zhang, Yongming Rao, Houwen Peng, Qinglin Lu, Han Hu, Meng-Hao Guo, Shi-Min Hu

International Conference on Learning Representations (ICLR), 2026

Tech Lead

Paper

SeparateGen: Semantic Component-based 3D Character Generation from Single Images

Dong-Yang Li, Yi-Long Liu, Zi-Xian Liu, Yan-Pei Cao, Meng-Hao Guo, Shi-Min Hu

IEEE Transactions on Visualization and Computer Graphics (TVCG), 2026

Paper

GUICrafter: Weakly-Supervised GUI Agent Leveraging Massive Unannotated Screenshots

Sunqi Fan, Lingshan Chen, Runqi Yin, Qingle Liu, Yongming Rao, Meng-Hao Guo, Shi-Min Hu

arXiv preprint, 2026

Paper

PresentBench: A Fine-Grained Rubric-Based Benchmark for Slide Generation

Xin-Sheng Chen, Jiayu Zhu, Pei-lin Li, Hanzheng Wang, Shuojin Yang, Meng-Hao Guo

arXiv preprint, 2026

Paper

Making LLMs Optimize Multi-Scenario CUDA Kernels Like Experts

Yuxuan Han, Meng-Hao Guo, Zhengning Liu, Wenguang Chen, Shi-Min Hu

arXiv preprint, 2026

Paper

Towards Universal Video MLLMs with Attribute-Structured and Quality-Verified Instructions

Yunheng Li, Hengrui Zhang, Meng-Hao Guo, Wenzhao Gao, Shaoyong Jia, Shaohui Jiao, Qibin Hou, Ming-Ming Cheng

arXiv preprint, 2026

Paper

Improving Variable-Length Generation in Diffusion Language Models via Length Regularization

Zicong Cheng, Ruixuan Jia, Jia Li, Guo-Wei Yang, Meng-Hao Guo, Shi-Min Hu

arXiv preprint, 2026

Paper

SkinTokens: A Learned Compact Representation for Unified Autoregressive Rigging

Jia-Peng Zhang, Cheng-Feng Pu, Meng-Hao Guo, Yan-Pei Cao, Shi-Min Hu

ACM Transactions on Graphics (TOG), 2026

Project Page Paper Code

2025

RBench-V: A Primary Assessment for Visual Reasoning Models with Multimodal Outputs

Meng-Hao Guo, Xuanyu Chu, Qianrui Yang, Zhe-Han Mo, Yiqing Shen, Pei-lin Li, Xinjie Lin, Jinnian Zhang, Xin-Sheng Chen, Yi Zhang, Kiyohiro Nakayama, Zhengyang Geng, Houwen Peng, Han Hu, Shi-Min Hu

Advances in Neural Information Processing Systems (NeurIPS), 2025

Paper

Tool-Augmented Spatiotemporal Reasoning for Streamlining Video Question Answering Task

Sunqi Fan, Jiashuo Cui, Meng-Hao Guo, Shuojin Yang

Advances in Neural Information Processing Systems (NeurIPS), 2025

Paper

R-Bench: Graduate-level Multi-disciplinary Benchmarks for LLM & MLLM Complex Reasoning Evaluation

Meng-Hao Guo, Jiajun Xu, Yi Zhang, Jiaxi Song, Haoyang Peng, Yi-Xuan Deng, Xinzhi Dong, Kiyohiro Nakayama, Zhengyang Geng, Chen Wang, Bolin Ni, Guo-Wei Yang, Yongming Rao, Houwen Peng, Han Hu, Gordon Wetzstein, Shi-Min Hu

International Conference on Machine Learning (ICML), 2025

Paper

One Model to Rig Them All: Diverse Skeleton Rigging with UniRig

Jia-Peng Zhang, Cheng-Feng Pu, Meng-Hao Guo, Yan-Pei Cao, Shi-Min Hu

ACM Transactions on Graphics (SIGGRAPH 2025)

Project Page Paper Code

Adaptive Parameter Selection for Tuning Vision-Language Models

Yi Zhang, Yi-Xuan Deng, Meng-Hao Guo, Shi-Min Hu

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025

Paper

FastMAE: Efficient Masked Autoencoder with Offline Tokenizer

Meng-Hao Guo, Chen Wang, Wei Liu, Shi-Min Hu

Computational Visual Media (CVMJ), 2025

Paper

Deep Learning Methods for 3D Human Body Reconstruction and Generation (in Chinese)

Meng-Hao Guo, Dong-Yang Li, Hao-Yang Peng, Jia-Peng Zhang, Shi-Min Hu

SCIENTIA SINICA Informationis, 2025

Paper

DEER: Draft with Diffusion, Verify with Autoregressive Models

Zicong Cheng, Guo-Wei Yang, Jia Li, Zhijie Deng, Meng-Hao Guo, Shi-Min Hu

arXiv preprint, 2025

Paper

Agentic Keyframe Search for Video Question Answering

Sunqi Fan, Meng-Hao Guo, Shuojin Yang

arXiv preprint, 2025

Paper

2024

CharacterGen: Efficient 3D Character Generation from Single Images with Multi-View Pose Canonicalization

Hao-Yang Peng, Jia-Peng Zhang, Meng-Hao Guo, Yan-Pei Cao, Shi-Min Hu

ACM Transactions on Graphics (SIGGRAPH 2024)

Project Page Paper Code

Exploring Regional Clues in CLIP for Zero-Shot Semantic Segmentation

Yi Zhang, Meng-Hao Guo, Miao Wang, Shi-Min Hu

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024

Paper

Tuning Vision-Language Models With Multiple Prototypes Clustering

Meng-Hao Guo, Yi Zhang, Tai-Jiang Mu, Sharon X. Huang, Shi-Min Hu

IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2024

Paper

2023

Visual Attention Network

Meng-Hao Guo, Cheng-Ze Lu, Zheng-Ning Liu, Ming-Ming Cheng, Shi-Min Hu

Computational Visual Media (CVMJ), 2023

Best Paper Award1,500+ citations

Paper Code

Beyond Self-Attention: External Attention Using Two Linear Layers for Visual Tasks

Meng-Hao Guo, Zheng-Ning Liu, Tai-Jiang Mu, Shi-Min Hu

IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI)

950+ citations

Paper Code

Long Range Pooling for 3D Large-Scale Scene Understanding

Xiang-Li Li, Meng-Hao Guo, Tai-Jiang Mu, Ralph R. Martin, Shi-Min Hu

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023

Paper

MWFormer: Mesh Understanding with Window-based Transformer

Hao-Yang Peng, Meng-Hao Guo, Zheng-Ning Liu, Yong-Liang Yang, Tai-Jiang Mu

Computers & Graphics, 2023

Paper

2022

SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation

Meng-Hao Guo, Cheng-Ze Lu, Qibin Hou, Zhengning Liu, Ming-Ming Cheng, Shi-Min Hu

Advances in Neural Information Processing Systems (NeurIPS), 2022

1,800+ citations

Paper Code

Attention Mechanisms in Computer Vision: A Survey

Meng-Hao Guo, Tian-Xing Xu, Jiang-Jiang Liu, Zheng-Ning Liu, Peng-Tao Jiang, Tai-Jiang Mu, Song-Hai Zhang, Ralph R. Martin, Ming-Ming Cheng, Shi-Min Hu

Computational Visual Media (CVMJ), 2022

Best Paper Award3,300+ citations

Paper Awesome List