Zhihao Shi

According to our database, Zhihao Shi authored at least 31 papers between 2016 and 2026.

Collaborative distances:

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

2026

Diffusion-based arbitrary-scale magnetic resonance image super-resolution via progressive k-space reconstruction and denoising.

Jiazhen Wang, Zhihao Shi, Xiang Gu, Yan Yang, Jian Sun

Medical Image Anal., 2026

2025

Robust Neural Rendering in the Wild with Asymmetric Dual 3D Gaussian Splatting.

Chengqi Li, Zhihao Shi, Yangdi Lu, Wenbo He, Xiangyu Xu

CoRR, June, 2025

IMFine: 3D Inpainting via Geometry-guided Multi-view Refinement.

Zhihao Shi, Dong Huo, Yuhongze Zhou, Kejia Yin, Yan Min, Juwei Lu, Xinxin Zuo

CoRR, March, 2025

Development of a machine learning-based prognostic model for survival prediction in patients with lung cancer brain metastases using multicenter clinical data.

Yuyan Xie, Xuqin Xiang, Menglin Fan, Hongyan Li, Lijuan Du, Weitong Gao, Tong Chen, Zhihao Shi, Xinqi Yu, Fang Liu

Int. J. Medical Informatics, 2025

CATI: A medical context-enhanced framework for diagnosis code assignment in the UK Biobank study.

Yue Shen, Jie Wang, Zhe Wang, Zhihao Shi, Hanzhu Chen, Zheng Wang, Yukang Jiang, Xiaopu Wang, Chuandong Cheng, Xueqin Wang, Hongtu Zhu, Jieping Ye

Artif. Intell. Medicine, 2025

Accurate and Scalable Graph Neural Networks via Message Invariance.

Zhihao Shi, Jie Wang, Zhiwei Zhuang, Xize Liang, Bin Li, Feng Wu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

IMFine: 3D Inpainting via Geometry-guided Multi-view Refinement.

Zhihao Shi, Dong Huo, Yuhongze Zhou, Yan Min, Juwei Lu, Xinxin Zuo

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

2024

Learning to Cut via Hierarchical Sequence/Set Model for Efficient Mixed-Integer Programming.

Jie Wang, Zhihai Wang, Xijun Li, Yufei Kuang, Zhihao Shi, Fangzhou Zhu, Mingxuan Yuan, Jia Zeng, Yongdong Zhang, Feng Wu

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Label Deconvolution for Node Representation Learning on Large-Scale Attributed Graphs Against Learning Bias.

Zhihao Shi, Jie Wang, Fanghua Lu, Hanzhu Chen, Defu Lian, Zheng Wang, Jieping Ye, Feng Wu

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Learning to Cut via Hierarchical Sequence/Set Model for Efficient Mixed-Integer Programming.

Jie Wang, Zhihai Wang, Xijun Li, Yufei Kuang, Zhihao Shi, Fangzhou Zhu, Mingxuan Yuan, Jia Zeng, Yongdong Zhang, Feng Wu

CoRR, 2024

Robust Preference Optimization with Provable Noise Tolerance for LLMs.

Xize Liang, Chao Chen, Jie Wang, Yue Wu, Zhihang Fu, Zhihao Shi, Feng Wu, Jieping Ye

CoRR, 2024

An EWMA-Based Mitigation Scheme Against Interest Flooding Attacks in Named Data Networks.

Zhihao Shi, Yaozong Xu, Maode Ma, Yanan Zhang

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

TexGen: Text-Guided 3D Texture Generation with Multi-view Sampling and Resampling.

Dong Huo, Zixin Guo, Xinxin Zuo, Zhihao Shi, Juwei Lu, Peng Dai, Songcen Xu, Li Cheng, Yee-Hong Yang

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

GridDehazeNet+: An Enhanced Multi-Scale Network With Intra-Task Knowledge Transfer for Single Image Dehazing.

Xiaohong Liu, Zhihao Shi, Zijun Wu, Jun Chen, Guangtao Zhai

IEEE Trans. Intell. Transp. Syst., January, 2023

Enabling Trimap-Free Image Matting With a Frequency-Guided Saliency-Aware Network via Joint Learning.

Linhui Dai, Xiang Song, Xiaohong Liu, Chengqi Li, Zhihao Shi, Jun Chen, Martin Brooks

IEEE Trans. Multim., 2023

Duality-Induced Regularizer for Semantic Matching Knowledge Graph Embeddings.

Jie Wang, Zhanqiu Zhang, Zhihao Shi, Jianyu Cai, Shuiwang Ji, Feng Wu

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

Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias.

Zhihao Shi, Jie Wang, Fanghua Lu, Hanzhu Chen, Defu Lian, Zheng Wang, Jieping Ye, Feng Wu

CoRR, 2023

Learning Complete Topology-Aware Correlations Between Relations for Inductive Link Prediction.

Jie Wang, Hanzhu Chen, Qitan Lv, Zhihao Shi, Jiajun Chen, Huarui He, Hongtao Xie, Yongdong Zhang, Feng Wu

CoRR, 2023

Provably Convergent Subgraph-wise Sampling for Fast GNN Training.

Jie Wang, Zhihao Shi, Xize Liang, Shuiwang Ji, Bin Li, Feng Wu

CoRR, 2023

Generalization in Visual Reinforcement Learning with the Reward Sequence Distribution.

Jie Wang, Rui Yang, Zijie Geng, Zhihao Shi, Mingxuan Ye, Qi Zhou, Shuiwang Ji, Bin Li, Yongdong Zhang, Feng Wu

CoRR, 2023

LMC: Fast Training of GNNs via Subgraph Sampling with Provable Convergence.

Zhihao Shi, Xize Liang, Jie Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Video Frame Interpolation via Generalized Deformable Convolution.

Zhihao Shi, Xiaohong Liu, Kangdi Shi, Linhui Dai, Jun Chen

IEEE Trans. Multim., 2022

Learning for Unconstrained Space-Time Video Super-Resolution.

Zhihao Shi, Xiaohong Liu, Chengqi Li, Linhui Dai, Jun Chen, Timothy N. Davidson, Jiying Zhao

IEEE Trans. Broadcast., 2022

Video Frame Interpolation Transformer.

Zhihao Shi, Xiangyu Xu, Xiaohong Liu, Jun Chen, Ming-Hsuan Yang

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

2021

Lithium-Sulfur Cell State of Charge Estimation Using a Classification Technique.

Neda Shateri, Zhihao Shi, Daniel J. Auger, Abbas Fotouhi

IEEE Trans. Veh. Technol., 2021

Towards a Unified Approach to Single Image Deraining and Dehazing.

Xiaohong Liu, Yongrui Ma, Zhihao Shi, Linhui Dai, Jun Chen

CoRR, 2021

GridDehazeNet+: An Enhanced Multi-Scale Network with Intra-Task Knowledge Transfer for Single Image Dehazing.

Xiaohong Liu, Zhihao Shi, Zijun Wu, Jun Chen

CoRR, 2021

Learning for Unconstrained Space-Time Video Super-Resolution.

Zhihao Shi, Chengqi Li, Linhui Dai, Xiaohong Liu, Jun Chen, Timothy N. Davidson

CoRR, 2021

2020

Video Interpolation via Generalized Deformable Convolution.

Zhihao Shi, Xiaohong Liu, Kangdi Shi, Linhui Dai, Jun Chen

CoRR, 2020

2019

GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing.

Xiaohong Liu, Yongrui Ma, Zhihao Shi, Jun Chen

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2016

Comparative Analysis of Some Parametric Model Structures Dedicated to EDLC Diagnosis.

Emmanuel Schaeffer, François Auger, Zhihao Shi, Philippe Guillemet, Luc Loron

IEEE Trans. Ind. Electron., 2016