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2020 – today
- 2024
[j13]Zhixin Xu
, Seohoon Lim, Yucheng Lu, Seung-Won Jung:
Reversed domain adaptation for nuclei segmentation-based pathological image classification. Comput. Biol. Medicine 168: 107726 (2024)- [i15]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 abs/2403.04484 (2024) - [i14]Yucheng Lu, Dovile Juodelyte, Jonathan D. Victor, Veronika Cheplygina:
Exploring connections of spectral analysis and transfer learning in medical imaging. CoRR abs/2407.11379 (2024) - 2023
- [j12]Yucheng Lu, Christopher De Sa:
Decentralized Learning: Theoretical Optimality and Practical Improvements. J. Mach. Learn. Res. 24: 93:1-93:62 (2023) - [j11]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: 5972-5983 (2023) - [c16]Yucheng Lu, Conglong Li, Minjia Zhang, Christopher De Sa, Yuxiong He:
Maximizing Communication Efficiency for Large-scale Training via 0/1 Adam. ICLR 2023 - [c15]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: 22812-22824 - [c14]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: 36058-36076 - [c13]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 - [i13]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 abs/2302.00845 (2023) - [i12]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 abs/2302.01172 (2023) - [i11]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 abs/2304.10839 (2023) - 2022
- [j10]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): 3627-3653 (2022) - [j9]Yucheng Lu, Seung-Won Jung:
Progressive Joint Low-Light Enhancement and Noise Removal for Raw Images. IEEE Trans. Image Process. 31: 2390-2404 (2022) - [c12]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: 3352-3360 - [c11]Yucheng Lu, Si Yi Meng, Christopher De Sa:
A General Analysis of Example-Selection for Stochastic Gradient Descent. ICLR 2022 - [c10]Yucheng Lu, Wentao Guo, Christopher De Sa:
GraB: Finding Provably Better Data Permutations than Random Reshuffling. NeurIPS 2022 - [c9]Changchun Zhang, Cheng Lv, Zhenqiang Chen, Yucheng Lu, Yuxuan Tian, Jiabao Wu, Hongshan Yang:
Transwarp ArgoDB: A Distributed Flash Database. SmartCloud 2022: 224-229 - [i10]Yucheng Lu, Conglong Li, Minjia Zhang, Christopher De Sa, Yuxiong He:
Maximizing Communication Efficiency for Large-scale Training via 0/1 Adam. CoRR abs/2202.06009 (2022) - [i9]Yucheng Lu, Wentao Guo, Christopher De Sa:
GraB: Finding Provably Better Data Permutations than Random Reshuffling. CoRR abs/2205.10733 (2022) - [i8]Jun-Sang Yoo, Dong-Wook Kim, Yucheng Lu, Seung-Won Jung:
RZSR: Reference-based Zero-Shot Super-Resolution with Depth Guided Self-Exemplars. CoRR abs/2208.11313 (2022) - 2021
- [j8]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): 461-474 (2021) - [j7]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): 1285-1298 (2021) - [j6]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): 3020-3034 (2021) - [j5]Yucheng Lu, Jin-Hyuck Cha, Sekyoung Youm, Seung-Won Jung:
Parametric Shape Estimation of Human Body Under Wide Clothing. IEEE Trans. Multim. 23: 3657-3669 (2021) - [c8]Yuhang Huang, Linlin Shi, Yucheng Lu:
Research on Module-level Fault Diagnosis of Avionics System Based on Residual Convolutional Neural Network. ACAI 2021: 104:1-104:7 - [c7]Bohyung Choi, Minyoung Lee, Seung-Won Jung, Yucheng Lu:
Distortion-aware Panoramic Image Resizing Using Seam Carving. ICEIC 2021: 1-2 - [c6]Yucheng Lu, Christopher De Sa:
Optimal Complexity in Decentralized Training. ICML 2021: 7111-7123 - [c5]Yucheng Lu, Youngsuk Park, Lifan Chen, Yuyang Wang, Christopher De Sa, Dean P. Foster:
Variance Reduced Training with Stratified Sampling for Forecasting Models. ICML 2021: 7145-7155 - [c4]A. Feder Cooper, Yucheng Lu, Jessica Forde, Christopher De Sa:
Hyperparameter Optimization Is Deceiving Us, and How to Stop It. NeurIPS 2021: 3081-3095 - [i7]A. Feder Cooper, Yucheng Lu, Christopher De Sa:
Hyperparameter Optimization Is Deceiving Us, and How to Stop It. CoRR abs/2102.03034 (2021) - [i6]Yucheng Lu, Youngsuk Park, Lifan Chen, Yuyang Wang, Christopher De Sa, Dean P. Foster:
Variance Reduction in Training Forecasting Models with Subgroup Sampling. CoRR abs/2103.02062 (2021) - [i5]Yucheng Lu, Seung-Won Jung:
Progressive Joint Low-light Enhancement and Noise Removal for Raw Images. CoRR abs/2106.14844 (2021) - 2020
- [j4]Yucheng Lu, Dong-Wook Kim, Seung-Won Jung:
DeepSelfie: Single-Shot Low-Light Enhancement for Selfies. IEEE Access 8: 121424-121436 (2020) - [c3]Xiuqi Chen, Yucheng Lu, Jie Liu:
Stroke-speech: A Multi-channel Input Method for Chinese Characters. CCHI 2020: 69-72 - [c2]Yucheng Lu, Christopher De Sa:
Moniqua: Modulo Quantized Communication in Decentralized SGD. ICML 2020: 6415-6425 - [i4]Yucheng Lu, Christopher De Sa:
Moniqua: Modulo Quantized Communication in Decentralized SGD. CoRR abs/2002.11787 (2020) - [i3]Yucheng Lu, Jack Nash, Christopher De Sa:
MixML: A Unified Analysis of Weakly Consistent Parallel Learning. CoRR abs/2005.06706 (2020) - [i2]Yucheng Lu, Zheng Li, Christopher De Sa:
Towards Optimal Convergence Rate in Decentralized Stochastic Training. CoRR abs/2006.08085 (2020)
2010 – 2019
- 2019
- [j3]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: 5200-5207 (2019) - [j2]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) - [j1]Tian Wang, Yucheng Lu, Zhihan Cao, Lei Shu, Xi Zheng, Anfeng Liu, Mande Xie:
When Sensor-Cloud Meets Mobile Edge Computing. Sensors 19(23): 5324 (2019) - [c1]Yucheng Lu, Tongyu Zhu:
Pre-training of Autoregressive Model for Aircraft Hard Landing Prediction Based on QAR Data. ICTAI 2019: 1613-1617 - 2018
- [i1]Yucheng Lu, Xudong Wu, Jingfan Meng, Luoyi Fu, Xinbing Wang:
BLAG: Bandit On Large Action Set Graph. CoRR abs/1809.02711 (2018)
Coauthor Index
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last updated on 2024-11-08 21:27 CET by the dblp team
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