Xiaoshuang Li

According to our database, Xiaoshuang Li authored at least 21 papers between 2018 and 2024.

Collaborative distances:

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

2024

3DPX: Single Panoramic X-ray Analysis Guided by 3D Oral Structure Reconstruction.

Xiaoshuang Li, Zimo Huang, Mingyuan Meng, Eduardo Delamare, Dagan Feng, Lei Bi, Bin Sheng, Lingyong Jiang, Bo Li, Jinman Kim

CoRR, 2024

3DPX: Progressive 2D-to-3D Oral Image Reconstruction with Hybrid MLP-CNN Networks.

Xiaoshuang Li, Mingyuan Meng, Zimo Huang, Lei Bi, Eduardo Delamare, David Dagan Feng, Bin Sheng, Jinman Kim

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Boosting Pruned Networks with Linear Over-Parameterization.

Yu Qian, Xiaoshuang Li, Jian Cao, Jie Zhang, Hufei Li, Jue Chen

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Insights into the Movement and Diffusion Accumulation Characteristics of a Catastrophic Rock Avalanche Debris - A Case Study.

Yifei Gong, Xiansen Xing, Yanan Li, Chun Zhu, Yanlin Li, Jianhua Yan, Huilin Le, Xiaoshuang Li

Remote. Sens., November, 2023

Layer-adaptive Structured Pruning Guided by Latency.

Siyuan Pan, Linna Zhang, Jie Zhang, Xiaoshuang Li, Liang Hou, Xiaobing Tu

CoRR, 2023

2022

Data Augmented Deep Behavioral Cloning for Urban Traffic Control Operations Under a Parallel Learning Framework.

Xiaoshuang Li, Peijun Ye, Junchen Jin, Fenghua Zhu, Fei-Yue Wang

IEEE Trans. Intell. Transp. Syst., 2022

An evaluation of deep neural network models for music classification using spectrograms.

Jingxian Li, Lixin Han, Xiaoshuang Li, Jun Zhu, Baohua Yuan, Zhinan Gou

Multim. Tools Appl., 2022

SADRL: Merging human experience with machine intelligence via supervised assisted deep reinforcement learning.

Xiaoshuang Li, Xiao Wang, Xinhu Zheng, Junchen Jin, Yanhao Huang, Jun Jason Zhang, Fei-Yue Wang

Neurocomputing, 2022

Supervised assisted deep reinforcement learning for emergency voltage control of power systems.

Xiaoshuang Li, Xiao Wang, Xinhu Zheng, Yuxin Dai, Zhihong Yu, Jun Jason Zhang, Guangquan Bu, Fei-Yue Wang

Neurocomputing, 2022

Augmentation-Aware Self-Supervision for Data-Efficient GAN Training.

Liang Hou, Qi Cao, Huawei Shen, Siyuan Pan, Xiaoshuang Li, Xueqi Cheng

CoRR, 2022

Fine-tuning Pruned Networks with Linear Over-parameterization.

Siyuan Pan, Xiaoshuang Li, Tingyao Li, Liang Hou, Kaibin Qiu, Xiaobing Tu

CoRR, 2022

Conditional GANs with Auxiliary Discriminative Classifier.

Liang Hou, Qi Cao, Huawei Shen, Siyuan Pan, Xiaoshuang Li, Xueqi Cheng

Proceedings of the International Conference on Machine Learning, 2022

Momentum Contrastive Pruning.

Siyuan Pan, Yiming Qin, Tingyao Li, Xiaoshuang Li, Liang Hou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

A Novel Hybrid Method for Landslide Susceptibility Mapping-Based GeoDetector and Machine Learning Cluster: A Case of Xiaojin County, China.

Wei Xie, Xiaoshuang Li, Wenbin Jian, Yang Yang, Hongwei Liu, Luis F. Robledo, Wen Nie

ISPRS Int. J. Geo Inf., 2021

2020

Malocclusion Treatment Planning via PointNet Based Spatial Transformation Network.

Xiaoshuang Li, Lei Bi, Jinman Kim, Tingyao Li, Peng Li, Ye Tian, Bin Sheng, Dagan Feng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Deep Imitation Learning for Traffic Signal Control and Operations Based on Graph Convolutional Neural Networks.

Xiaoshuang Li, Zhongzheng Guo, Xingyuan Dai, Yilun Lin, Junchen Jin, Fenghua Zhu, Fei-Yue Wang

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2019

A Brief Research and Lookback of the Development of Iris Recognition.

Xiaoshuang Li, Shenhua Hu, Chengkan Lv, Haojun Qin, Fenghua Zhu, Feiyue Wang

Proceedings of the 2019 IEEE International Conference on Service Operations and Logistics, 2019

Short Term Traffic Flow Forecast Based on CM-GRU Networks.

Zhongzheng Guo, Weifeng Zhong, Fenghua Zhu, Xiaoshuang Li, Fei-Yue Wang, Gang Xiong

Proceedings of the 2019 IEEE International Conference on Service Operations and Logistics, 2019

2018

A classification method for wood vibration signals of Chinese musical instruments based on GMM and SVM.

Yinglai Huang, Shiyu Meng, Xiaoshuang Li, Wenyi Fan

Traitement du Signal, 2018

Short-term Bus Passenger Flow Forecast Based On Deep Learning.

Xiaoshuang Li, Ziyang Chen, Fenghua Zhu, Wei Chang, Chang Tan, Gang Xiong

Proceedings of the 2018 International Conference on Security, 2018

Voxelized Facial Reconstruction Using Deep Neural Network.

Xiaoshuang Li, Bin Sheng, Ping Li, Jinman Kim, David Dagan Feng

Proceedings of Computer Graphics International 2018, 2018