Yucheng Lu

Orcid: 0000-0003-2990-5252

According to our database1, Yucheng Lu authored at least 38 papers between 2018 and 2024.

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Bibliography

2024
Reversed domain adaptation for nuclei segmentation-based pathological image classification.
Comput. Biol. Medicine, January, 2024

Exploring connections of spectral analysis and transfer learning in medical imaging.
CoRR, 2024

Source Matters: Source Dataset Impact on Model Robustness in Medical Imaging.
CoRR, 2024

2023
RZSR: Reference-Based Zero-Shot Super-Resolution With Depth Guided Self-Exemplars.
IEEE Trans. Multim., 2023

Decentralized Learning: Theoretical Optimality and Practical Improvements.
J. Mach. Learn. Res., 2023

Multi-frame-based Cross-domain Image Denoising for Low-dose Computed Tomography.
CoRR, 2023

Scale up with Order: Finding Good Data Permutations for Distributed Training.
CoRR, 2023

CD-GraB: Coordinating Distributed Example Orders for Provably Accelerated Training.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CocktailSGD: Fine-tuning Foundation Models over 500Mbps Networks.
Proceedings of the International Conference on Machine Learning, 2023

STEP: Learning N: M Structured Sparsity Masks from Scratch with Precondition.
Proceedings of the International Conference on Machine Learning, 2023

Maximizing Communication Efficiency for Large-scale Training via 0/1 Adam.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Progressive Joint Low-Light Enhancement and Noise Removal for Raw Images.
IEEE Trans. Image Process., 2022

A sparrow search algorithm with intelligent weight factors and mutation operators and applications to image classification.
J. Intell. Fuzzy Syst., 2022

Transwarp ArgoDB: A Distributed Flash Database.
Proceedings of the 7th IEEE International Conference on Smart Cloud, SmartCloud 2022, 2022

GraB: Finding Provably Better Data Permutations than Random Reshuffling.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A General Analysis of Example-Selection for Stochastic Gradient Descent.
Proceedings of the Tenth International Conference on Learning Representations, 2022

STARDOM: Semantic Aware Deep Hierarchical Forecasting Model for Search Traffic Prediction.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Parametric Shape Estimation of Human Body Under Wide Clothing.
IEEE Trans. Multim., 2021

Adaptive Diffusion of Sensitive Information in Online Social Networks.
IEEE Trans. Knowl. Data Eng., 2021

EIHDP: Edge-Intelligent Hierarchical Dynamic Pricing Based on Cloud-Edge-Client Collaboration for IoT Systems.
IEEE Trans. Computers, 2021

Variance Reduction in Training Forecasting Models with Subgroup Sampling.
CoRR, 2021

Hyperparameter Optimization Is Deceiving Us, and How to Stop It.
CoRR, 2021

Curve Complexity Heuristic KD-trees for Neighborhood-based Exploration of 3D Curves.
Comput. Graph. Forum, 2021

Hyperparameter Optimization Is Deceiving Us, and How to Stop It.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Optimal Complexity in Decentralized Training.
Proceedings of the 38th International Conference on Machine Learning, 2021

Variance Reduced Training with Stratified Sampling for Forecasting Models.
Proceedings of the 38th International Conference on Machine Learning, 2021

Distortion-aware Panoramic Image Resizing Using Seam Carving.
Proceedings of the International Conference on Electronics, Information, and Communication, 2021

Research on Module-level Fault Diagnosis of Avionics System Based on Residual Convolutional Neural Network.
Proceedings of the ACAI 2021: 4th International Conference on Algorithms, Computing and Artificial Intelligence, Sanya, China, December 22, 2021

2020
Towards Optimal Convergence Rate in Decentralized Stochastic Training.
CoRR, 2020

MixML: A Unified Analysis of Weakly Consistent Parallel Learning.
CoRR, 2020

DeepSelfie: Single-Shot Low-Light Enhancement for Selfies.
IEEE Access, 2020

Moniqua: Modulo Quantized Communication in Decentralized SGD.
Proceedings of the 37th International Conference on Machine Learning, 2020

Stroke-speech: A Multi-channel Input Method for Chinese Characters.
Proceedings of the Chinese CHI 2020: The eighth International Workshop of Chinese CHI, 2020

2019
When Sensor-Cloud Meets Mobile Edge Computing.
Sensors, 2019

Foreground extraction via dual-side cameras on a mobile device using long short-term trajectory analysis.
Image Vis. Comput., 2019

Facial Action Units-Based Image Retrieval for Facial Expression Recognition.
IEEE Access, 2019

Pre-training of Autoregressive Model for Aircraft Hard Landing Prediction Based on QAR Data.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

2018
BLAG: Bandit On Large Action Set Graph.
CoRR, 2018


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