Hang Guo

According to our database, Hang Guo authored at least 30 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

The Eleventh NTIRE 2026 Efficient Super-Resolution Challenge Report.

Bin Ren, Hang Guo, Yan Shu, Jiaqi Ma, Ziteng Cui, Shuhong Liu, Guofeng Mei, Lei Sun, Zongwei Wu, Fahad Shahbaz Khan, Salman Khan, Radu Timofte, Yawei Li, Hongyuan Yu, Pufan Xu, Chen Wu, Long Peng, Jiaojiao Yi, Siyang Yi, Yuning Cui, Jingyuan Xia, Xing Mou, Keji He, Jinlin Wu, Zongang Gao, Sen Yang, Rui Zheng, Fengguo Li, Yecheng Lei, Wenkai Min, Jie Liu, Keye Cao, Shubham Sharma, Manish Prasad, Haobo Li, Matin Fazel, Abdelhak Bentaleb, Rui Chen, Shurui Shi, Zitao Dai, Qingliang Liu, Yang Cheng, Jing Hu, Xuan Zhang, Rui Ding, Tingyi Zhang, Hui Deng, Mengyang Wang, Fulin Liu, Jing Wei, Qian Wang, Hongying Liu, Mingyang Li, Guanglu Dong, Zheng Yang, Chao Ren, Hongbo Fang, Lingxuan Li, Lin Si, Pan Gao, Moncef Gabbouj, Watchara Ruangsang, Supavadee Aramvith

CoRR, April, 2026

SparseEval: Efficient Evaluation of Large Language Models by Sparse Optimization.

Taolin Zhang, Hang Guo, Wang Lu, Tao Dai, Shu-Tao Xia, Jindong Wang

CoRR, February, 2026

Learning gated experts for segment anything in the wild.

Yizhen Guo, Hang Guo, Tao Dai, Zhi Wang, Bin Chen, Shu-Tao Xia

Pattern Recognit., 2026

Head-Aware KV Cache Compression for Efficient Visual Autoregressive Modeling.

Ziran Qin, Youru Lv, Mingbao Lin, Hang Guo, Zeren Zhang, Danping Zou, Weiyao Lin

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Optimal Brain Restoration for Joint Quantization and Sparsification of LLMs.

Hang Guo, Yawei Li, Luca Benini

CoRR, September, 2025

Personalized Face Super-Resolution with Identity Decoupling and Fitting.

Jiarui Yang, Hang Guo, Wen Huang, Tao Dai, Shutao Xia

CoRR, August, 2025

The Tenth NTIRE 2025 Image Denoising Challenge Report.

Lei Sun, Hang Guo, Bin Ren, Luc Van Gool, Radu Timofte, Yawei Li, Xiangyu Kong, Hyunhee Park, Xiaoxuan Yu, Suejin Han, Hakjae Jeon, Jia Li, Hyungju Chun, Donghun Ryou, Inju Ha, Bohyung Han, Jingyu Ma, Zhijuan Huang, Huiyuan Fu, Hongyuan Yu, Boqi Zhang, Jiawei Shi, Heng Zhang, Huadong Ma, Deepak Kumar Tyagi, Aman Kukretti, Gajender Sharma, Sriharsha Koundinya, Asim Manna, Jun Cheng, Shan Tan, Jun Liu, Jiangwei Hao, Jianping Luo, Jie Lu, Satya Narayan Tazi, Arnim Gautam, Aditi Pawar, Aishwarya Joshi, Akshay Dudhane, Praful Hambadre, Sachin Chaudhary, Santosh Kumar Vipparthi, Subrahmanyam Murala, Jiachen Tu, Nikhil Akalwadi, Vijayalaxmi Ashok Aralikatti, Dheeraj Damodhar Hegde, G. Gyaneshwar Rao, Jatin Kalal, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Zhenyuan Lin, Yubo Dong, Weikun Li, Anqi Li, Ang Gao, Weijun Yuan, Zhan Li, Ruting Deng, Yihang Chen, Yifan Deng, Zhanglu Chen, Boyang Yao, Shuling Zheng, Feng Zhang, Zhiheng Fu, Anas M. Ali, Bilel Benjdira, Wadii Boulila, Jan Seny, Pei Zhou, Jianhua Hu, K. L. Eddie Law, Jaeho Lee, M. J. Aashik Rasool, Abdur Rehman, S. M. A. Sharif, Seongwan Kim, Alexandru Brateanu, Raul Balmez, Ciprian Orhei, Cosmin Ancuti, Zeyu Xiao, Zhuoyuan Li, Ziqi Wang, Yanyan Wei, Fei Wang, Kun Li, Shengeng Tang, Yunkai Zhang, Weirun Zhou, Haoxuan Lu

CoRR, April, 2025

MFD-KD: Multi-Scale Frequency-Driven Knowledge Distillation.

Tao Dai, Rongliang Huang, Hang Guo, Jinbao Wang, Bo Li, Zexuan Zhu

Big Data Min. Anal., 2025

Point Cloud Mixture-of-Domain-Experts Model for 3D Self-supervised Learning.

Yaohua Zha, Tao Dai, Hang Guo, Yanzi Wang, Bin Chen, Ke Chen, Shu-Tao Xia

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

IntLoRA: Integral Low-rank Adaptation of Quantized Diffusion Models.

Hang Guo, Yawei Li, Tao Dai, Shu-Tao Xia, Luca Benini

Proceedings of the Forty-second International Conference on Machine Learning, 2025

FastVAR: Linear Visual Autoregressive Modeling Via Cached Token Pruning.

Hang Guo, Yawei Li, Taolin Zhang, Jiangshan Wang, Tao Dai, Shu-Tao Xia, Luca Benini

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

PMA: Towards Parameter-Efficient Point Cloud Understanding via Point Mamba Adapter.

Yaohua Zha, Yanzi Wang, Hang Guo, Jinpeng Wang, Tao Dai, Bin Chen, Zhihao Ouyang, Xue Yuerong, Ke Chen, Shu-Tao Xia

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

The Tenth NTIRE 2025 Efficient Super-Resolution Challenge Report.

Bin Ren, Hang Guo, Lei Sun, Zongwei Wu, Radu Timofte, Yawei Li

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

MambaIRv2: Attentive State Space Restoration.

Hang Guo, Yong Guo, Yaohua Zha, Yulun Zhang, Wenbo Li, Tao Dai, Shu-Tao Xia, Yawei Li

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

The Tenth NTIRE 2025 Image Denoising Challenge Report.

Lei Sun, Hang Guo, Bin Ren, Luc Van Gool, Radu Timofte, Yawei Li

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

CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning.

Peiyuan Liu, Hang Guo, Tao Dai, Naiqi Li, Jigang Bao, Xudong Ren, Yong Jiang, Shu-Tao Xia

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

DCSF-KD: Dynamic Channel-wise Spatial Feature Knowledge Distillation for Object Detection.

Tao Dai, Yang Lin, Hang Guo, Jinbao Wang, Zexuan Zhu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Block-to-Scene Pre-training for Point Cloud Hybrid-Domain Masked Autoencoders.

Yaohua Zha, Tao Dai, Yanzi Wang, Hang Guo, Taolin Zhang, Zhihao Ouyang, Chunlin Fan, Bin Chen, Ke Chen, Shu-Tao Xia

CoRR, 2024

Taming Pre-trained LLMs for Generalised Time Series Forecasting via Cross-modal Knowledge Distillation.

Peiyuan Liu, Hang Guo, Tao Dai, Naiqi Li, Jigang Bao, Xudong Ren, Yong Jiang, Shu-Tao Xia

CoRR, 2024

LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling.

Yaohua Zha, Naiqi Li, Yanzi Wang, Tao Dai, Hang Guo, Bin Chen, Zhi Wang, Zhihao Ouyang, Shu-Tao Xia

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

ReFIR: Grounding Large Restoration Models with Retrieval Augmentation.

Hang Guo, Tao Dai, Zhihao Ouyang, Taolin Zhang, Yaohua Zha, Bin Chen, Shu-Tao Xia

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Parameter Efficient Adaptation for Image Restoration with Heterogeneous Mixture-of-Experts.

Hang Guo, Tao Dai, Yuanchao Bai, Bin Chen, Xudong Ren, Zexuan Zhu, Shu-Tao Xia

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping.

Taolin Zhang, Jinpeng Wang, Hang Guo, Tao Dai, Bin Chen, Shu-Tao Xia

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

FreqFormer: Frequency-aware Transformer for Lightweight Image Super-resolution.

Tao Dai, Jianping Wang, Hang Guo, Jinmin Li, Jinbao Wang, Zexuan Zhu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

MambaIR: A Simple Baseline for Image Restoration with State-Space Model.

Hang Guo, Jinmin Li, Tao Dai, Zhihao Ouyang, Xudong Ren, Shu-Tao Xia

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

AdaptIR: Parameter Efficient Multi-task Adaptation for Pre-trained Image Restoration Models.

Hang Guo, Tao Dai, Yuanchao Bai, Bin Chen, Shu-Tao Xia, Zexuan Zhu

CoRR, 2023

One-stage Low-resolution Text Recognition with High-resolution Knowledge Transfer.

Hang Guo, Tao Dai, Mingyan Zhu, Guanghao Meng, Bin Chen, Zhi Wang, Shu-Tao Xia

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Towards Robust Scene Text Image Super-resolution via Explicit Location Enhancement.

Hang Guo, Tao Dai, Guanghao Meng, Shu-Tao Xia

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Gaze Target Estimation Inspired by Interactive Attention.

Zhengxi Hu, Kunxu Zhao, Bohan Zhou, Hang Guo, Shichao Wu, Yuxue Yang, Jingtai Liu

IEEE Trans. Circuits Syst. Video Technol., 2022

MGTR: End-to-End Mutual Gaze Detection with Transformer.

Hang Guo, Zhengxi Hu, Jingtai Liu

Proceedings of the Computer Vision - ACCV 2022, 2022