Multi-person 3D Pose Estimation from Monocular Image Sequences. - Ran Li; Nayun Xu; Xutong Lu; Yucheng Xing; Haohua Zhao; Li Niu 002; Liqing Zhang 001 (ICONIP (2), 2019)

Learning Continuous-Time Dynamics by Stochastic Differential Networks. - Yingru Liu; Yucheng Xing; Xuewen Yang; Xin Wang 001; Di Jin; Jing Shi (CoRR, 2020)

Continuous-Time Stochastic Differential Networks for Irregular Time Series Modeling. - Yingru Liu; Yucheng Xing; Xuewen Yang; Xin Wang 001; Jing Shi; Di Jin; Zhaoyue Chen; Jacqueline Wu (ICONIP (5), 2021)

HDG-ODE: A Hierarchical Continuous-Time Model for Human Pose Forecasting. - Yucheng Xing; Xin Wang 001 (ICCV, 2023)

AGGDN: A Continuous Stochastic Predictive Model for Monitoring Sporadic Time Series on Graphs. - Yucheng Xing; Jacqueline Wu; Yingru Liu; Xuewen Yang; Xin Wang 001 (ICONIP (1), 2023)

An Evidential Time-to-Event Prediction Model Based on Gaussian Random Fuzzy Numbers. - Ling Huang 003; Yucheng Xing; Thierry Denoeux; Mengling Feng (BELIEF, 2024)

∞-Net: An Unsupervised Model for Online Graph Time-Series Denoising. - Yucheng Xing; Xin Wang 001 (ICONIP (3), 2024)

Evidential time-to-event prediction model with well-calibrated uncertainty estimation. - Ling Huang 003; Yucheng Xing; Swapnil Mishra; Thierry Denoeux; Mengling Feng (CoRR, 2024)

Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding. - Xiaodong Liu; Yucheng Xing; Xin Wang (CoRR, 2024)

Puppet-CNN: Input-Adaptive Convolutional Neural Networks with Model Compression using Ordinary Differential Equation. - Yucheng Xing; Xin Wang (CoRR, 2024)

Adaptively Controllable Diffusion Model for Efficient Conditional Image Generation. - Yucheng Xing; Xiaodong Liu; Xin Wang (CoRR, 2024)

EsurvFusion: An evidential multimodal survival fusion model based on Gaussian random fuzzy numbers. - Ling Huang 003; Yucheng Xing; Qika Lin; Su Ruan; Mengling Feng (CoRR, 2024)

Evolved Differential Model for Sporadic Graph Time-Series Prediction. - Yucheng Xing; Jacqueline Wu; Yingru Liu; Xuewen Yang; Xin Wang 001 (Intell. Converged Networks, 2024)

A review of uncertainty quantification in medical image analysis: Probabilistic and non-probabilistic methods. - Ling Huang 003; Su Ruan; Yucheng Xing; Mengling Feng (Medical Image Anal., 2024)

Evidential time-to-event prediction with calibrated uncertainty quantification. - Ling Huang 003; Yucheng Xing; Swapnil Mishra; Thierry Denoeux; Mengling Feng (Int. J. Approx. Reason., 2025)

CodeBrain: Bridging Decoupled Tokenizer and Multi-Scale Architecture for EEG Foundation Model. - Jingying Ma; Feng Wu; Qika Lin; Yucheng Xing; Chenyu Liu; Ziyu Jia; Mengling Feng (CoRR, 2025)