Voxelized Facial Reconstruction Using Deep Neural Network. - Xiaoshuang Li; Bin Sheng 001; Ping Li 016; Jinman Kim; David Dagan Feng (CGI, 2018)

Short-term Bus Passenger Flow Forecast Based On Deep Learning. - Xiaoshuang Li; Ziyang Chen; Fenghua Zhu; Wei Chang; Chang Tan; Gang Xiong 001 (SPAC, 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 Traffic Flow Forecast Based on CM-GRU Networks. - Zhongzheng Guo; Weifeng Zhong; Fenghua Zhu; Xiaoshuang Li; Fei-Yue Wang 001; Gang Xiong 001 (SOLI, 2019)

A Brief Research and Lookback of the Development of Iris Recognition. - Xiaoshuang Li; Shenhua Hu; Chengkan Lv; Haojun Qin; Fenghua Zhu; Feiyue Wang 001 (SOLI, 2019)

Deep Imitation Learning for Traffic Signal Control and Operations Based on Graph Convolutional Neural Networks. - Xiaoshuang Li; Zhongzheng Guo; Xingyuan Dai; Yilun Lin 002; Junchen Jin; Fenghua Zhu; Fei-Yue Wang 001 (ITSC, 2020)

Malocclusion Treatment Planning via PointNet Based Spatial Transformation Network. - Xiaoshuang Li; Lei Bi 001; Jinman Kim; Tingyao Li; Peng Li; Ye Tian; Bin Sheng 001; Dagan Feng 001 (MICCAI (3), 2020)

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)

Momentum Contrastive Pruning. - Siyuan Pan; Yiming Qin; Tingyao Li; Xiaoshuang Li; Liang Hou (CVPR Workshops, 2022)

Conditional GANs with Auxiliary Discriminative Classifier. - Liang Hou; Qi Cao; Huawei Shen; Siyuan Pan; Xiaoshuang Li; Xueqi Cheng (ICML, 2022)

Fine-tuning Pruned Networks with Linear Over-parameterization. - Siyuan Pan; Xiaoshuang Li; Tingyao Li; Liang Hou; Kaibin Qiu; Xiaobing Tu (CoRR, 2022)

Augmentation-Aware Self-Supervision for Data-Efficient GAN Training. - Liang Hou; Qi Cao; Huawei Shen; Siyuan Pan; Xiaoshuang Li; Xueqi Cheng (CoRR, 2022)

Supervised assisted deep reinforcement learning for emergency voltage control of power systems. - Xiaoshuang Li; Xiao Wang 002; Xinhu Zheng; Yuxin Dai; Zhihong Yu; Jun Jason Zhang; Guangquan Bu; Fei-Yue Wang 001 (Neurocomputing, 2022)

SADRL: Merging human experience with machine intelligence via supervised assisted deep reinforcement learning. - Xiaoshuang Li; Xiao Wang 002; Xinhu Zheng; Junchen Jin; Yanhao Huang; Jun Jason Zhang; Fei-Yue Wang 001 (Neurocomputing, 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)

Data Augmented Deep Behavioral Cloning for Urban Traffic Control Operations Under a Parallel Learning Framework. - Xiaoshuang Li; Peijun Ye 001; Junchen Jin; Fenghua Zhu; Fei-Yue Wang 001 (IEEE Trans. Intell. Transp. Syst., 2022)

Layer-adaptive Structured Pruning Guided by Latency. - Siyuan Pan; Linna Zhang; Jie Zhang; Xiaoshuang Li; Liang Hou; Xiaobing Tu (CoRR, 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., 2023)

Boosting Pruned Networks with Linear Over-Parameterization. - Yu Qian; Xiaoshuang Li; Jian Cao; Jie Zhang; Hufei Li; Jue Chen (ICASSP, 2024)

3DPX: Progressive 2D-to-3D Oral Image Reconstruction with Hybrid MLP-CNN Networks. - Xiaoshuang Li; Mingyuan Meng; Zimo Huang; Lei Bi 001; Eduardo Delamare; David Dagan Feng; Bin Sheng 001; Jinman Kim (MICCAI (7), 2024)

AdaptFL: Adaptive Client Task Allocation-Based Synchronous Federated Learning. - Xiaoshuang Li; Mingjun Wang; Yilong Guo; Wenxiu Ding (TrustCom, 2024)

3DPX: Single Panoramic X-ray Analysis Guided by 3D Oral Structure Reconstruction. - Xiaoshuang Li; Zimo Huang; Mingyuan Meng; Eduardo Delamare; Dagan Feng 001; Lei Bi 001; Bin Sheng 001; Lingyong Jiang; Bo Li; Jinman Kim (CoRR, 2024)

MLDAN:Multi-scale large kernel decomposition attention network for super-resolution of lung computed tomography images. - Yanmei Li; Xiaoshuang Li; Jian Luo; Tao Yu; Jingshi Deng; Qibin Yang (Biomed. Signal Process. Control., 2025)

TEANet: Automated tooth extraction and arrangement with tooth-level graph spatial transformation network. - Xiaoshuang Li; Miri Chung; Lei Bi 001; Jialiang Huang; Yichen Pan; David Feng 003; Dong Chen; Bin Sheng 001; Jinman Kim; Lingyong Jiang (Comput. Methods Programs Biomed., 2025)

The combined effects of competition and niches on competitive outcomes of a phytoplankton model in heterogeneous acidified lakes. - Xiaoshuang Li; Hua Nie; Danfeng Pang; Philip Wallhead; Richard Garth James Bellerby (Commun. Nonlinear Sci. Numer. Simul., 2025)

JLEDNet: a nighttime UAV tracking method through joint low-light image enhancement using hybrid attention transformer and denoising. - Yanmei Li; Tao Yu; Jian Luo; Xiaoshuang Li; Jingshi Deng; Qibin Yang (Vis. Comput., 2025)