Ziheng Cheng

Orcid: 0000-0002-7504-197X

According to our database1, Ziheng Cheng authored at least 22 papers between 2020 and 2024.

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Bibliography

2024
Motion-Aware Dynamic Graph Neural Network for Video Compressive Sensing.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Functional Gradient Flows for Constrained Sampling.
CoRR, 2024

Semi-Implicit Functional Gradient Flow.
CoRR, 2024

Convergence of Distributed Adaptive Optimization with Local Updates.
CoRR, 2024

SnapCap: Efficient Snapshot Compressive Video Captioning.
CoRR, 2024

Kernel Semi-Implicit Variational Inference.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Reflected Flow Matching.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Momentum Benefits Non-iid Federated Learning Simply and Provably.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

The Limits and Potentials of Local SGD for Distributed Heterogeneous Learning with Intermittent Communication.
Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023
Observability-Enhancement Boresight Calibration of Camera-IMU System: Theory and Experiments.
IEEE Trans. Aerosp. Electron. Syst., August, 2023

Recurrent Neural Networks for Snapshot Compressive Imaging.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Momentum Benefits Non-IID Federated Learning Simply and Provably.
CoRR, 2023

Joint Graph Learning and Model Fitting in Laplacian Regularized Stratified Models.
CoRR, 2023

Particle-based Variational Inference with Generalized Wasserstein Gradient Flow.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CMT: Cross-modal Memory Transformer for Medical Image Report Generation.
Proceedings of the Database Systems for Advanced Applications, 2023

2021
Dual-view Snapshot Compressive Imaging via Optical Flow Aided Recurrent Neural Network.
Int. J. Comput. Vis., 2021

MetaSCI: Scalable and Adaptive Reconstruction for Video Compressive Sensing.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Memory-Efficient Network for Large-Scale Video Compressive Sensing.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Research on Spectral Characteristics of Phase-Shifted Fiber Bragg Grating and Its Defence Applications.
Proceedings of the AIAM 2021: 3rd International Conference on Artificial Intelligence and Advanced Manufacture, Manchester, United Kingdom, October 23, 2021

2020
RAFnet: Recurrent attention fusion network of hyperspectral and multispectral images.
Signal Process., 2020

BIRNAT: Bidirectional Recurrent Neural Networks with Adversarial Training for Video Snapshot Compressive Imaging.
Proceedings of the Computer Vision - ECCV 2020, 2020

Chinese Open Relation Extraction with Pointer-Generator Networks.
Proceedings of the 5th IEEE International Conference on Data Science in Cyberspace, 2020


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