Yucheng Lu

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

Collaborative distances:

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

2024

Reversed domain adaptation for nuclei segmentation-based pathological image classification.

Zhixin Xu, Seohoon Lim, Yucheng Lu, Seung-Won Jung

Comput. Biol. Medicine, January, 2024

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

Yucheng Lu, Dovile Juodelyte, Jonathan D. Victor, Veronika Cheplygina

CoRR, 2024

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

Dovile Juodelyte, Yucheng Lu, Amelia Jiménez-Sánchez, Sabrina Bottazzi, Enzo Ferrante, Veronika Cheplygina

CoRR, 2024

2023

RZSR: Reference-Based Zero-Shot Super-Resolution With Depth Guided Self-Exemplars.

Jun-Sang Yoo, Dong-Wook Kim, Yucheng Lu, Seung-Won Jung

IEEE Trans. Multim., 2023

Decentralized Learning: Theoretical Optimality and Practical Improvements.

Yucheng Lu, Christopher De Sa

J. Mach. Learn. Res., 2023

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

Yucheng Lu, Zhixin Xu, Moon Hyung Choi, Jimin Kim, Seung-Won Jung

CoRR, 2023

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

Wentao Guo, Khiem Pham, Yucheng Lu, Tiancheng Yuan, Charlie F. Ruan, Christopher De Sa

CoRR, 2023

CD-GraB: Coordinating Distributed Example Orders for Provably Accelerated Training.

A. Feder Cooper, Wentao Guo, Khiem Pham, Tiancheng Yuan, Charlie Ruan, Yucheng Lu, Christopher De Sa

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.

Jue Wang, Yucheng Lu, Binhang Yuan, Beidi Chen, Percy Liang, Christopher De Sa, Christopher Ré, Ce Zhang

Proceedings of the International Conference on Machine Learning, 2023

STEP: Learning N: M Structured Sparsity Masks from Scratch with Precondition.

Yucheng Lu, Shivani Agrawal, Suvinay Subramanian, Oleg Rybakov, Christopher De Sa, Amir Yazdanbakhsh

Proceedings of the International Conference on Machine Learning, 2023

Maximizing Communication Efficiency for Large-scale Training via 0/1 Adam.

Yucheng Lu, Conglong Li, Minjia Zhang, Christopher De Sa, Yuxiong He

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Progressive Joint Low-Light Enhancement and Noise Removal for Raw Images.

Yucheng Lu, Seung-Won Jung

IEEE Trans. Image Process., 2022

A sparrow search algorithm with intelligent weight factors and mutation operators and applications to image classification.

Xiaofeng Yue, Guoyuan Ma, Xueliang Gao, Yucheng Lu

J. Intell. Fuzzy Syst., 2022

Transwarp ArgoDB: A Distributed Flash Database.

Changchun Zhang, Cheng Lv, Zhenqiang Chen, Yucheng Lu, Yuxuan Tian, Jiabao Wu, Hongshan Yang

Proceedings of the 7th IEEE International Conference on Smart Cloud, SmartCloud 2022, 2022

GraB: Finding Provably Better Data Permutations than Random Reshuffling.

Yucheng Lu, Wentao Guo, Christopher De Sa

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.

Yucheng Lu, Si Yi Meng, Christopher De Sa

Proceedings of the Tenth International Conference on Learning Representations, 2022

STARDOM: Semantic Aware Deep Hierarchical Forecasting Model for Search Traffic Prediction.

Yucheng Lu, Qiang Ji, Liang Wang, Tianshu Wu, Hongbo Deng, Jian Xu, Bo Zheng

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Parametric Shape Estimation of Human Body Under Wide Clothing.

Yucheng Lu, Jin-Hyuck Cha, Sekyoung Youm, Seung-Won Jung

IEEE Trans. Multim., 2021

Adaptive Diffusion of Sensitive Information in Online Social Networks.

Xudong Wu, Luoyi Fu, Huan Long, Dali Yang, Yucheng Lu, Xinbing Wang, Guihai Chen

IEEE Trans. Knowl. Data Eng., 2021

EIHDP: Edge-Intelligent Hierarchical Dynamic Pricing Based on Cloud-Edge-Client Collaboration for IoT Systems.

Tian Wang, Yucheng Lu, Jianhuang Wang, Hong-Ning Dai, Xi Zheng, Weijia Jia

IEEE Trans. Computers, 2021

Variance Reduction in Training Forecasting Models with Subgroup Sampling.

Yucheng Lu, Youngsuk Park, Lifan Chen, Yuyang Wang, Christopher De Sa, Dean P. Foster

CoRR, 2021

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

A. Feder Cooper, Yucheng Lu, Christopher De Sa

CoRR, 2021

Curve Complexity Heuristic KD-trees for Neighborhood-based Exploration of 3D Curves.

Yucheng Lu, Luyu Cheng, Tobias Isenberg, Chi-Wing Fu, Guoning Chen, Hui Liu, Oliver Deussen, Yunhai Wang

Comput. Graph. Forum, 2021

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

A. Feder Cooper, Yucheng Lu, Jessica Forde, Christopher De Sa

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Optimal Complexity in Decentralized Training.

Yucheng Lu, Christopher De Sa

Proceedings of the 38th International Conference on Machine Learning, 2021

Variance Reduced Training with Stratified Sampling for Forecasting Models.

Yucheng Lu, Youngsuk Park, Lifan Chen, Yuyang Wang, Christopher De Sa, Dean P. Foster

Proceedings of the 38th International Conference on Machine Learning, 2021

Distortion-aware Panoramic Image Resizing Using Seam Carving.

Bohyung Choi, Minyoung Lee, Seung-Won Jung, Yucheng Lu

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.

Yuhang Huang, Linlin Shi, Yucheng Lu

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.

Yucheng Lu, Zheng Li, Christopher De Sa

CoRR, 2020

MixML: A Unified Analysis of Weakly Consistent Parallel Learning.

Yucheng Lu, Jack Nash, Christopher De Sa

CoRR, 2020

DeepSelfie: Single-Shot Low-Light Enhancement for Selfies.

Yucheng Lu, Dong-Wook Kim, Seung-Won Jung

IEEE Access, 2020

Moniqua: Modulo Quantized Communication in Decentralized SGD.

Yucheng Lu, Christopher De Sa

Proceedings of the 37th International Conference on Machine Learning, 2020

Stroke-speech: A Multi-channel Input Method for Chinese Characters.

Xiuqi Chen, Yucheng Lu, Jie Liu

Proceedings of the Chinese CHI 2020: The eighth International Workshop of Chinese CHI, 2020

2019

When Sensor-Cloud Meets Mobile Edge Computing.

Tian Wang, Yucheng Lu, Zhihan Cao, Lei Shu, Xi Zheng, Anfeng Liu, Mande Xie

Sensors, 2019

Foreground extraction via dual-side cameras on a mobile device using long short-term trajectory analysis.

Yucheng Lu, Dong-Wook Kim, Sesong Kim, Seung-Won Jung

Image Vis. Comput., 2019

Facial Action Units-Based Image Retrieval for Facial Expression Recognition.

Trinh Thi Doan Pham, Se-Song Kim, Yucheng Lu, Seung-Won Jung, Chee Sun Won

IEEE Access, 2019

Pre-training of Autoregressive Model for Aircraft Hard Landing Prediction Based on QAR Data.

Yucheng Lu, Tongyu Zhu

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

2018

BLAG: Bandit On Large Action Set Graph.

Yucheng Lu, Xudong Wu, Jingfan Meng, Luoyi Fu, Xinbing Wang

CoRR, 2018