Yucheng Lu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 44

Top Topics

Stratified Sampling

Forecasting Model

Medical Imaging

Top Venues

IEEE Trans. Multim.

Publications

Zhixin Xu, Seohoon Lim, Yucheng Lu, Seung-Won Jung
Reversed domain adaptation for nuclei segmentation-based pathological image classification. Comput. Biol. Medicine 168 (2024)
Dovile Juodelyte, Yucheng Lu, Amelia Jiménez-Sánchez, Sabrina Bottazzi, Enzo Ferrante, Veronika Cheplygina
Source Matters: Source Dataset Impact on Model Robustness in Medical Imaging. CoRR (2024)
Yucheng Lu, Dovile Juodelyte, Jonathan D. Victor, Veronika Cheplygina
Exploring connections of spectral analysis and transfer learning in medical imaging. CoRR (2024)
Yucheng Lu, Christopher De Sa
Decentralized Learning: Theoretical Optimality and Practical Improvements. J. Mach. Learn. Res. 24 (2023)
Jue Wang, Yucheng Lu, Binhang Yuan, Beidi Chen, Percy Liang, Christopher De Sa, Christopher Ré, Ce Zhang
CocktailSGD: Fine-tuning Foundation Models over 500Mbps Networks. ICML (2023)
Yucheng Lu, Shivani Agrawal, Suvinay Subramanian, Oleg Rybakov, Christopher De Sa, Amir Yazdanbakhsh
STEP: Learning N: M Structured Sparsity Masks from Scratch with Precondition. ICML (2023)
Jun-Sang Yoo, Dong-Wook Kim, Yucheng Lu, Seung-Won Jung
RZSR: Reference-Based Zero-Shot Super-Resolution With Depth Guided Self-Exemplars. IEEE Trans. Multim. 25 (2023)
Yucheng Lu, Shivani Agrawal, Suvinay Subramanian, Oleg Rybakov, Christopher De Sa, Amir Yazdanbakhsh
STEP: Learning N: M Structured Sparsity Masks from Scratch with Precondition. CoRR (2023)
Wentao Guo, Khiem Pham, Yucheng Lu, Tiancheng Yuan, Charlie F. Ruan, Christopher De Sa
Scale up with Order: Finding Good Data Permutations for Distributed Training. CoRR (2023)
Yucheng Lu, Conglong Li, Minjia Zhang, Christopher De Sa, Yuxiong He
Maximizing Communication Efficiency for Large-scale Training via 0/1 Adam. ICLR (2023)
A. Feder Cooper, Wentao Guo, Khiem Pham, Tiancheng Yuan, Charlie Ruan, Yucheng Lu, Christopher De Sa
CD-GraB: Coordinating Distributed Example Orders for Provably Accelerated Training. NeurIPS (2023)
Yucheng Lu, Zhixin Xu, Moon Hyung Choi, Jimin Kim, Seung-Won Jung
Multi-frame-based Cross-domain Image Denoising for Low-dose Computed Tomography. CoRR (2023)
Yucheng Lu, Conglong Li, Minjia Zhang, Christopher De Sa, Yuxiong He
Maximizing Communication Efficiency for Large-scale Training via 0/1 Adam. CoRR (2022)
Jun-Sang Yoo, Dong-Wook Kim, Yucheng Lu, Seung-Won Jung
RZSR: Reference-based Zero-Shot Super-Resolution with Depth Guided Self-Exemplars. CoRR (2022)
Xiaofeng Yue, Guoyuan Ma, Xueliang Gao, Yucheng Lu
A sparrow search algorithm with intelligent weight factors and mutation operators and applications to image classification. J. Intell. Fuzzy Syst. 43 (3) (2022)
Yucheng Lu, Si Yi Meng, Christopher De Sa
A General Analysis of Example-Selection for Stochastic Gradient Descent. ICLR (2022)
Yucheng Lu, Wentao Guo, Christopher De Sa
GraB: Finding Provably Better Data Permutations than Random Reshuffling. NeurIPS (2022)
Yucheng Lu, Seung-Won Jung
Progressive Joint Low-Light Enhancement and Noise Removal for Raw Images. IEEE Trans. Image Process. 31 (2022)
Changchun Zhang, Cheng Lv, Zhenqiang Chen, Yucheng Lu, Yuxuan Tian, Jiabao Wu, Hongshan Yang
Transwarp ArgoDB: A Distributed Flash Database. SmartCloud (2022)
Yucheng Lu, Wentao Guo, Christopher De Sa
GraB: Finding Provably Better Data Permutations than Random Reshuffling. CoRR (2022)
Yucheng Lu, Qiang Ji, Liang Wang, Tianshu Wu, Hongbo Deng, Jian Xu, Bo Zheng
STARDOM: Semantic Aware Deep Hierarchical Forecasting Model for Search Traffic Prediction. CIKM (2022)
Tian Wang, Yucheng Lu, Jianhuang Wang, Hong-Ning Dai, Xi Zheng, Weijia Jia
EIHDP: Edge-Intelligent Hierarchical Dynamic Pricing Based on Cloud-Edge-Client Collaboration for IoT Systems. IEEE Trans. Computers 70 (8) (2021)
Yucheng Lu, Youngsuk Park, Lifan Chen, Yuyang Wang, Christopher De Sa, Dean Foster
Variance Reduced Training with Stratified Sampling for Forecasting Models. ICML (2021)
Yucheng Lu, Jin-Hyuck Cha, Sekyoung Youm, Seung-Won Jung
Parametric Shape Estimation of Human Body Under Wide Clothing. IEEE Trans. Multim. 23 (2021)
Xudong Wu, Luoyi Fu, Huan Long, Dali Yang, Yucheng Lu, Xinbing Wang, Guihai Chen
Adaptive Diffusion of Sensitive Information in Online Social Networks. IEEE Trans. Knowl. Data Eng. 33 (8) (2021)
Yucheng Lu, Youngsuk Park, Lifan Chen, Yuyang Wang, Christopher De Sa, Dean Foster
Variance Reduction in Training Forecasting Models with Subgroup Sampling. CoRR (2021)
Yucheng Lu, Christopher De Sa
Optimal Complexity in Decentralized Training. ICML (2021)
Yucheng Lu, Luyu Cheng, Tobias Isenberg, Chi-Wing Fu, Guoning Chen, Hui Liu, Oliver Deussen, Yunhai Wang
Curve Complexity Heuristic KD-trees for Neighborhood-based Exploration of 3D Curves. Comput. Graph. Forum 40 (2) (2021)
Yucheng Lu, Seung-Won Jung
Progressive Joint Low-light Enhancement and Noise Removal for Raw Images. CoRR (2021)
Yuhang Huang, Linlin Shi, Yucheng Lu
Research on Module-level Fault Diagnosis of Avionics System Based on Residual Convolutional Neural Network. ACAI (2021)
Bohyung Choi, Minyoung Lee, Seung-Won Jung, Yucheng Lu
Distortion-aware Panoramic Image Resizing Using Seam Carving. ICEIC (2021)
A. Feder Cooper, Yucheng Lu, Christopher De Sa
Hyperparameter Optimization Is Deceiving Us, and How to Stop It. CoRR (2021)
A. Feder Cooper, Yucheng Lu, Jessica Forde, Christopher De Sa
Hyperparameter Optimization Is Deceiving Us, and How to Stop It. NeurIPS (2021)
Xiuqi Chen, Yucheng Lu, Jie Liu
Stroke-speech: A Multi-channel Input Method for Chinese Characters. CCHI (2020)
Yucheng Lu, Dong-Wook Kim, Seung-Won Jung
DeepSelfie: Single-Shot Low-Light Enhancement for Selfies. IEEE Access 8 (2020)
Yucheng Lu, Zheng Li, Christopher De Sa
Towards Optimal Convergence Rate in Decentralized Stochastic Training. CoRR (2020)
Yucheng Lu, Christopher De Sa
Moniqua: Modulo Quantized Communication in Decentralized SGD. ICML (2020)
Yucheng Lu, Christopher De Sa
Moniqua: Modulo Quantized Communication in Decentralized SGD. CoRR (2020)
Yucheng Lu, Jack Nash, Christopher De Sa
MixML: A Unified Analysis of Weakly Consistent Parallel Learning. CoRR (2020)
Yucheng Lu, Tongyu Zhu
Pre-training of Autoregressive Model for Aircraft Hard Landing Prediction Based on QAR Data. ICTAI (2019)
Trinh Thi Doan Pham, Se-Song Kim, Yucheng Lu, Seung-Won Jung, Chee Sun Won
Facial Action Units-Based Image Retrieval for Facial Expression Recognition. IEEE Access 7 (2019)
Yucheng Lu, Dong-Wook Kim, Sesong Kim, Seung-Won Jung
Foreground extraction via dual-side cameras on a mobile device using long short-term trajectory analysis. Image Vis. Comput. 90 (2019)
Tian Wang, Yucheng Lu, Zhihan Cao, Lei Shu, Xi Zheng, Anfeng Liu, Mande Xie
When Sensor-Cloud Meets Mobile Edge Computing. Sensors 19 (23) (2019)
Yucheng Lu, Xudong Wu, Jingfan Meng, Luoyi Fu, Xinbing Wang
BLAG: Bandit On Large Action Set Graph. CoRR (2018)