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Ziheng Cheng

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Known people with the same name:

Ziheng Cheng 001 (Xidian University, National Key Laboratory of Radar Signal Processing, Xi'an, China)

Bibliography

2025

Bridging Discrete and Continuous RL: Stable Deterministic Policy Gradient with Martingale Characterization.

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CoRR, September, 2025

Data-Efficient Training by Evolved Sampling.

[BibT_eX]

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CoRR, September, 2025

OVERT: A Benchmark for Over-Refusal Evaluation on Text-to-Image Models.

[BibT_eX]

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Somayeh Sojoudi

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CoRR, May, 2025

Provable Sample-Efficient Transfer Learning Conditional Diffusion Models via Representation Learning.

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CoRR, February, 2025

Convergence of Distributed Adaptive Optimization with Local Updates.

[BibT_eX]

[DOI]

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Margalit Glasgow

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Semi-Implicit Functional Gradient Flow.

[BibT_eX]

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CoRR, 2024

Functional Gradient Flows for Constrained Sampling.

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Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Kernel Semi-Implicit Variational Inference.

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Proceedings of the Forty-first International Conference on Machine Learning, 2024

Reflected Flow Matching.

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Proceedings of the Forty-first International Conference on Machine Learning, 2024

Momentum Benefits Non-iid Federated Learning Simply and Provably.

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Proceedings of the Twelfth International Conference on Learning Representations, 2024

The Limits and Potentials of Local SGD for Distributed Heterogeneous Learning with Intermittent Communication.

[BibT_eX]

[DOI]

Kumar Kshitij Patel

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Margalit Glasgow

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Sebastian U. Stich

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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.

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IEEE Trans. Aerosp. Electron. Syst., August, 2023

Momentum Benefits Non-IID Federated Learning Simply and Provably.

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CoRR, 2023

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

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Stephen P. Boyd

CoRR, 2023

Particle-based Variational Inference with Generalized Wasserstein Gradient Flow.

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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.

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Proceedings of the Database Systems for Advanced Applications, 2023

2021

Research on Spectral Characteristics of Phase-Shifted Fiber Bragg Grating and Its Defence Applications.

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Proceedings of the AIAM 2021: 3rd International Conference on Artificial Intelligence and Advanced Manufacture, Manchester, United Kingdom, October 23, 2021

2020

Chinese Open Relation Extraction with Pointer-Generator Networks.

[BibT_eX]

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Proceedings of the 5th IEEE International Conference on Data Science in Cyberspace, 2020

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