Hang Guo

39 papers A* 14Journal 21Unranked 4
YearRankTypeTitle / Venue / Authors
2026 A* conf
Head-Aware KV Cache Compression for Efficient Visual Autoregressive Modeling.
AAAI
Ziran Qin, Youru Lv, Mingbao Lin, Hang Guo, Zeren Zhang, Danping Zou, Weiyao Lin
2026 J jnl
Learning gated experts for segment anything in the wild.
Pattern Recognit.
Yizhen Guo, Hang Guo, Tao Dai, Zhi Wang, Bin Chen, Shu-Tao Xia
2026 J jnl
SparseEval: Efficient Evaluation of Large Language Models by Sparse Optimization.
CoRR
Taolin Zhang, Hang Guo, Wang Lu, Tao Dai, Shu-Tao Xia, Jindong Wang
2025 A* conf
CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning.
AAAI
Peiyuan Liu, Hang Guo, Tao Dai, Naiqi Li, Jigang Bao, Xudong Ren, Yong Jiang, Shu-Tao Xia
2025 A* conf
DCSF-KD: Dynamic Channel-wise Spatial Feature Knowledge Distillation for Object Detection.
AAAI
Tao Dai, Yang Lin, Hang Guo, Jinbao Wang, Zexuan Zhu
2025 J jnl
FastVAR: Linear Visual Autoregressive Modeling via Cached Token Pruning.
CoRR
Hang Guo, Yawei Li, Taolin Zhang, Jiangshan Wang, Tao Dai, Shu-Tao Xia, Luca Benini
2025 A* conf
IntLoRA: Integral Low-rank Adaptation of Quantized Diffusion Models.
ICML
Hang Guo, Yawei Li, Tao Dai, Shu-Tao Xia, Luca Benini
2025 J jnl
MFD-KD: Multi-Scale Frequency-Driven Knowledge Distillation.
Big Data Min. Anal.
Tao Dai, Rongliang Huang, Hang Guo, Jinbao Wang, Bo Li, Zexuan Zhu
2025 A* conf
MambaIRv2: Attentive State Space Restoration.
CVPR
Hang Guo, Yong Guo, Yaohua Zha, Yulun Zhang, Wenbo Li, Tao Dai, Shu-Tao Xia, Yawei Li
2025 J jnl
Optimal Brain Restoration for Joint Quantization and Sparsification of LLMs.
CoRR
Hang Guo, Yawei Li, Luca Benini
2025 A* conf
PMA: Towards Parameter-Efficient Point Cloud Understanding via Point Mamba Adapter.
CVPR
Yaohua Zha, Yanzi Wang, Hang Guo, Jinpeng Wang, Tao Dai, Bin Chen, Zhihao Ouyang, Xue Yuerong, Ke Chen, Shu-Tao Xia
2025 J jnl
PMA: Towards Parameter-Efficient Point Cloud Understanding via Point Mamba Adapter.
CoRR
Yaohua Zha, Yanzi Wang, Hang Guo, Jinpeng Wang, Tao Dai, Bin Chen, Zhihao Ouyang, Xue Yuerong, Ke Chen, Shu-Tao Xia
2025 J jnl
Personalized Face Super-Resolution with Identity Decoupling and Fitting.
CoRR
Jiarui Yang, Hang Guo, Wen Huang, Tao Dai, Shutao Xia
2025 A* conf
Point Cloud Mixture-of-Domain-Experts Model for 3D Self-supervised Learning.
IJCAI
Yaohua Zha, Tao Dai, Hang Guo, Yanzi Wang, Bin Chen, Ke Chen, Shu-Tao Xia
2025 — conf
The Tenth NTIRE 2025 Efficient Super-Resolution Challenge Report.
CVPR Workshops
Bin Ren, Hang Guo, Lei Sun, Zongwei Wu, Radu Timofte, Yawei Li
2025 — conf
The Tenth NTIRE 2025 Image Denoising Challenge Report.
CVPR Workshops
Lei Sun, Hang Guo, Bin Ren, Luc Van Gool, Radu Timofte, Yawei Li
2025 J jnl
The Tenth NTIRE 2025 Image Denoising Challenge Report.
CoRR
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, SMA 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
2024 J jnl
Block-to-Scene Pre-training for Point Cloud Hybrid-Domain Masked Autoencoders.
CoRR
Yaohua Zha, Tao Dai, Yanzi Wang, Hang Guo, Taolin Zhang, Zhihao Ouyang, Chunlin Fan, Bin Chen, Ke Chen, Shu-Tao Xia
2024 A* conf
BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping.
NeurIPS
Taolin Zhang, Jinpeng Wang, Hang Guo, Tao Dai, Bin Chen, Shu-Tao Xia
2024 J jnl
BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping.
CoRR
Taolin Zhang, Jinpeng Wang, Hang Guo, Tao Dai, Bin Chen, Shu-Tao Xia
2024 A* conf
FreqFormer: Frequency-aware Transformer for Lightweight Image Super-resolution.
IJCAI
Tao Dai, Jianping Wang, Hang Guo, Jinmin Li, Jinbao Wang, Zexuan Zhu
2024 J jnl
IntLoRA: Integral Low-rank Adaptation of Quantized Diffusion Models.
CoRR
Hang Guo, Yawei Li, Tao Dai, Shu-Tao Xia, Luca Benini
2024 A* conf
LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling.
NeurIPS
Yaohua Zha, Naiqi Li, Yanzi Wang, Tao Dai, Hang Guo, Bin Chen, Zhi Wang, Zhihao Ouyang, Shu-Tao Xia
2024 J jnl
LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling.
CoRR
Yaohua Zha, Naiqi Li, Yanzi Wang, Tao Dai, Hang Guo, Bin Chen, Zhi Wang, Zhihao Ouyang, Shu-Tao Xia
2024 — conf
MambaIR: A Simple Baseline for Image Restoration with State-Space Model.
ECCV (18)
Hang Guo, Jinmin Li, Tao Dai, Zhihao Ouyang, Xudong Ren, Shu-Tao Xia
2024 J jnl
MambaIR: A Simple Baseline for Image Restoration with State-Space Model.
CoRR
Hang Guo, Jinmin Li, Tao Dai, Zhihao Ouyang, Xudong Ren, Shu-Tao Xia
2024 J jnl
MambaIRv2: Attentive State Space Restoration.
CoRR
Hang Guo, Yong Guo, Yaohua Zha, Yulun Zhang, Wenbo Li, Tao Dai, Shu-Tao Xia, Yawei Li
2024 A* conf
Parameter Efficient Adaptation for Image Restoration with Heterogeneous Mixture-of-Experts.
NeurIPS
Hang Guo, Tao Dai, Yuanchao Bai, Bin Chen, Xudong Ren, Zexuan Zhu, Shu-Tao Xia
2024 A* conf
ReFIR: Grounding Large Restoration Models with Retrieval Augmentation.
NeurIPS
Hang Guo, Tao Dai, Zhihao Ouyang, Taolin Zhang, Yaohua Zha, Bin Chen, Shu-Tao Xia
2024 J jnl
ReFIR: Grounding Large Restoration Models with Retrieval Augmentation.
CoRR
Hang Guo, Tao Dai, Zhihao Ouyang, Taolin Zhang, Yaohua Zha, Bin Chen, Shu-Tao Xia
2024 J jnl
Taming Pre-trained LLMs for Generalised Time Series Forecasting via Cross-modal Knowledge Distillation.
CoRR
Peiyuan Liu, Hang Guo, Tao Dai, Naiqi Li, Jigang Bao, Xudong Ren, Yong Jiang, Shu-Tao Xia
2023 J jnl
AdaptIR: Parameter Efficient Multi-task Adaptation for Pre-trained Image Restoration Models.
CoRR
Hang Guo, Tao Dai, Yuanchao Bai, Bin Chen, Shu-Tao Xia, Zexuan Zhu
2023 A* conf
One-stage Low-resolution Text Recognition with High-resolution Knowledge Transfer.
ACM Multimedia
Hang Guo, Tao Dai, Mingyan Zhu, Guanghao Meng, Bin Chen, Zhi Wang, Shu-Tao Xia
2023 J jnl
One-stage Low-resolution Text Recognition with High-resolution Knowledge Transfer.
CoRR
Hang Guo, Tao Dai, Mingyan Zhu, Guanghao Meng, Bin Chen, Zhi Wang, Shu-Tao Xia
2023 A* conf
Towards Robust Scene Text Image Super-resolution via Explicit Location Enhancement.
IJCAI
Hang Guo, Tao Dai, Guanghao Meng, Shu-Tao Xia
2023 J jnl
Towards Robust Scene Text Image Super-resolution via Explicit Location Enhancement.
CoRR
Hang Guo, Tao Dai, Guanghao Meng, Shu-Tao Xia
2022 J jnl
Gaze Target Estimation Inspired by Interactive Attention.
IEEE Trans. Circuits Syst. Video Technol.
Zhengxi Hu, Kunxu Zhao, Bohan Zhou, Hang Guo, Shichao Wu, Yuxue Yang, Jingtai Liu
2022 — conf
MGTR: End-to-End Mutual Gaze Detection with Transformer.
ACCV (4)
Hang Guo, Zhengxi Hu, Jingtai Liu
2022 J jnl
MGTR: End-to-End Mutual Gaze Detection with Transformer.
CoRR
Hang Guo, Zhengxi Hu, Jingtai Liu