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2020 – today
- 2025
[j9]Yanmei Li, Xiaoshuang Li, Jian Luo
, Tao Yu, Jingshi Deng, Qibin Yang:
MLDAN:Multi-scale large kernel decomposition attention network for super-resolution of lung computed tomography images. Biomed. Signal Process. Control. 107: 107795 (2025)- [j8]Xiaoshuang Li, Hua Nie, Danfeng Pang, Philip Wallhead, Richard Garth James Bellerby:
The combined effects of competition and niches on competitive outcomes of a phytoplankton model in heterogeneous acidified lakes. Commun. Nonlinear Sci. Numer. Simul. 140: 108410 (2025) - 2024
- [c11]Yu Qian, Xiaoshuang Li, Jian Cao, Jie Zhang, Hufei Li, Jue Chen:
Boosting Pruned Networks with Linear Over-Parameterization. ICASSP 2024: 5070-5074 - [c10]Xiaoshuang Li, Mingyuan Meng, Zimo Huang, Lei Bi, Eduardo Delamare, David Dagan Feng, Bin Sheng, Jinman Kim:
3DPX: Progressive 2D-to-3D Oral Image Reconstruction with Hybrid MLP-CNN Networks. MICCAI (7) 2024: 25-34 - [c9]Xiaoshuang Li, Mingjun Wang, Yilong Guo, Wenxiu Ding:
AdaptFL: Adaptive Client Task Allocation-Based Synchronous Federated Learning. TrustCom 2024: 616-623 - [i5]Xiaoshuang Li, Mingyuan Meng, Zimo Huang, Lei Bi, Eduardo Delamare, Dagan Feng, Bin Sheng, Jinman Kim:
3DPX: Progressive 2D-to-3D Oral Image Reconstruction with Hybrid MLP-CNN Networks. CoRR abs/2408.01292 (2024) - [i4]Xiaoshuang Li, Zimo Huang, Mingyuan Meng, Eduardo Delamare, Dagan Feng, Lei Bi, Bin Sheng, Lingyong Jiang, Bo Li, Jinman Kim:
3DPX: Single Panoramic X-ray Analysis Guided by 3D Oral Structure Reconstruction. CoRR abs/2409.18701 (2024) - 2023
- [j7]Yifei Gong, Xiansen Xing, Yanan Li, Chun Zhu, Yanlin Li, Jianhua Yan, Huilin Le, Xiaoshuang Li:
Insights into the Movement and Diffusion Accumulation Characteristics of a Catastrophic Rock Avalanche Debris - A Case Study. Remote. Sens. 15(21): 5154 (2023) - [i3]Siyuan Pan, Linna Zhang, Jie Zhang, Xiaoshuang Li, Liang Hou, Xiaobing Tu:
Layer-adaptive Structured Pruning Guided by Latency. CoRR abs/2305.14403 (2023) - 2022
- [j6]Xiaoshuang Li, Xiao Wang, Xinhu Zheng, Junchen Jin, Yanhao Huang, Jun Jason Zhang, Fei-Yue Wang:
SADRL: Merging human experience with machine intelligence via supervised assisted deep reinforcement learning. Neurocomputing 467: 300-309 (2022) - [j5]Xiaoshuang Li, Xiao Wang, Xinhu Zheng, Yuxin Dai, Zhihong Yu, Jun Jason Zhang, Guangquan Bu, Fei-Yue Wang:
Supervised assisted deep reinforcement learning for emergency voltage control of power systems. Neurocomputing 475: 69-79 (2022) - [j4]Jingxian Li, Lixin Han, Xiaoshuang Li, Jun Zhu, Baohua Yuan, Zhinan Gou:
An evaluation of deep neural network models for music classification using spectrograms. Multim. Tools Appl. 81(4): 4621-4647 (2022) - [j3]Xiaoshuang Li, Peijun Ye, Junchen Jin, Fenghua Zhu, Fei-Yue Wang:
Data Augmented Deep Behavioral Cloning for Urban Traffic Control Operations Under a Parallel Learning Framework. IEEE Trans. Intell. Transp. Syst. 23(6): 5128-5137 (2022) - [c8]Siyuan Pan, Yiming Qin, Tingyao Li, Xiaoshuang Li, Liang Hou:
Momentum Contrastive Pruning. CVPR Workshops 2022: 2646-2655 - [c7]Liang Hou, Qi Cao, Huawei Shen, Siyuan Pan, Xiaoshuang Li, Xueqi Cheng:
Conditional GANs with Auxiliary Discriminative Classifier. ICML 2022: 8888-8902 - [i2]Siyuan Pan, Xiaoshuang Li, Tingyao Li, Liang Hou, Kaibin Qiu, Xiaobing Tu:
Fine-tuning Pruned Networks with Linear Over-parameterization. CoRR abs/2204.11444 (2022) - [i1]Liang Hou, Qi Cao, Huawei Shen, Siyuan Pan, Xiaoshuang Li, Xueqi Cheng:
Augmentation-Aware Self-Supervision for Data-Efficient GAN Training. CoRR abs/2205.15677 (2022) - 2021
- [j2]Wei Xie, Xiaoshuang Li, Wenbin Jian, Yang Yang, Hongwei Liu, Luis F. Robledo, Wen Nie:
A Novel Hybrid Method for Landslide Susceptibility Mapping-Based GeoDetector and Machine Learning Cluster: A Case of Xiaojin County, China. ISPRS Int. J. Geo Inf. 10(2): 93 (2021) - 2020
- [c6]Xiaoshuang Li, Zhongzheng Guo, Xingyuan Dai, Yilun Lin, Junchen Jin, Fenghua Zhu, Fei-Yue Wang:
Deep Imitation Learning for Traffic Signal Control and Operations Based on Graph Convolutional Neural Networks. ITSC 2020: 1-6 - [c5]Xiaoshuang Li, Lei Bi, Jinman Kim, Tingyao Li, Peng Li, Ye Tian, Bin Sheng, Dagan Feng:
Malocclusion Treatment Planning via PointNet Based Spatial Transformation Network. MICCAI (3) 2020: 105-114
2010 – 2019
- 2019
- [c4]Xiaoshuang Li, Shenhua Hu, Chengkan Lv, Haojun Qin, Fenghua Zhu, Feiyue Wang:
A Brief Research and Lookback of the Development of Iris Recognition. SOLI 2019: 140-145 - [c3]Zhongzheng Guo, Weifeng Zhong, Fenghua Zhu, Xiaoshuang Li, Fei-Yue Wang, Gang Xiong:
Short Term Traffic Flow Forecast Based on CM-GRU Networks. SOLI 2019: 163-168 - 2018
- [j1]Yinglai Huang, Shiyu Meng, Xiaoshuang Li, Wenyi Fan:
A classification method for wood vibration signals of Chinese musical instruments based on GMM and SVM. Traitement du Signal 35(2): 137-151 (2018) - [c2]Xiaoshuang Li, Bin Sheng, Ping Li, Jinman Kim, David Dagan Feng:
Voxelized Facial Reconstruction Using Deep Neural Network. CGI 2018: 1-4 - [c1]Xiaoshuang Li, Ziyang Chen, Fenghua Zhu, Wei Chang, Chang Tan, Gang Xiong:
Short-term Bus Passenger Flow Forecast Based On Deep Learning. SPAC 2018: 372-376
Coauthor Index
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last updated on 2025-05-02 23:58 CEST by the dblp team
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