Zhihao Shi

Orcid: 0000-0002-7869-7798

According to our database1, Zhihao Shi authored at least 24 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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2024
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Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Learning to Cut via Hierarchical Sequence/Set Model for Efficient Mixed-Integer Programming.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Label Deconvolution for Node Representation Learning on Large-Scale Attributed Graphs Against Learning Bias.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Learning to Cut via Hierarchical Sequence/Set Model for Efficient Mixed-Integer Programming.
CoRR, 2024

Robust Preference Optimization with Provable Noise Tolerance for LLMs.
CoRR, 2024

An EWMA-Based Mitigation Scheme Against Interest Flooding Attacks in Named Data Networks.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

TexGen: Text-Guided 3D Texture Generation with Multi-view Sampling and Resampling.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
GridDehazeNet+: An Enhanced Multi-Scale Network With Intra-Task Knowledge Transfer for Single Image Dehazing.
IEEE Trans. Intell. Transp. Syst., January, 2023

Enabling Trimap-Free Image Matting With a Frequency-Guided Saliency-Aware Network via Joint Learning.
IEEE Trans. Multim., 2023

Duality-Induced Regularizer for Semantic Matching Knowledge Graph Embeddings.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias.
CoRR, 2023

Learning Complete Topology-Aware Correlations Between Relations for Inductive Link Prediction.
CoRR, 2023

Provably Convergent Subgraph-wise Sampling for Fast GNN Training.
CoRR, 2023

Generalization in Visual Reinforcement Learning with the Reward Sequence Distribution.
CoRR, 2023

LMC: Fast Training of GNNs via Subgraph Sampling with Provable Convergence.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Video Frame Interpolation via Generalized Deformable Convolution.
IEEE Trans. Multim., 2022

Learning for Unconstrained Space-Time Video Super-Resolution.
IEEE Trans. Broadcast., 2022

Video Frame Interpolation Transformer.
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.
IEEE Trans. Veh. Technol., 2021

Towards a Unified Approach to Single Image Deraining and Dehazing.
CoRR, 2021

GridDehazeNet+: An Enhanced Multi-Scale Network with Intra-Task Knowledge Transfer for Single Image Dehazing.
CoRR, 2021

Learning for Unconstrained Space-Time Video Super-Resolution.
CoRR, 2021

2020
Video Interpolation via Generalized Deformable Convolution.
CoRR, 2020

2019
GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2016
Comparative Analysis of Some Parametric Model Structures Dedicated to EDLC Diagnosis.
IEEE Trans. Ind. Electron., 2016


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