Revisiting Graph Convolutional Network on Semi-Supervised Node Classification from an Optimization Perspective. - Hongwei Zhang; Tijin Yan; Zenjun Xie; Yuanqing Xia; Yuan Zhang 016 (CoRR, 2020)

ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative Models. - Tijin Yan; Hongwei Zhang; Tong Zhou; Yufeng Zhan; Yuanqing Xia (CoRR, 2021)

AdaL: Adaptive Gradient Transformation Contributes to Convergences and Generalizations. - Hongwei Zhang; Weidong Zou; Hongbo Zhao 006; Qi Ming; Tijin Yan; Yuanqing Xia; Weipeng Cao (CoRR, 2021)

Stochastic graph recurrent neural network. - Tijin Yan; Hongwei Zhang; Zirui Li; Yuanqing Xia (Neurocomputing, 2022)

TFDPM: Attack detection for cyber-physical systems with diffusion probabilistic models. - Tijin Yan; Tong Zhou; Yufeng Zhan; Yuanqing Xia (Knowl. Based Syst., 2022)

Probabilistic Time Series Modeling with Decomposable Denoising Diffusion Model. - Tijin Yan; Hengheng Gong; Yongping He; Yufeng Zhan; Yuanqing Xia (ICML, 2024)

CAG-NSPDE: Continuous adaptive graph neural stochastic partial differential equations for traffic flow forecasting. - Tijin Yan; Hengheng Gong; Yufeng Zhan; Yuanqing Xia (Neurocomputing, 2024)

SGFM: Conditional Flow Matching for Time Series Anomaly Detection With State Space Models. - Yongping He; Tijin Yan; Yufeng Zhan; Zihang Feng; Yuanqing Xia (IEEE Internet Things J., 2024)

Meta-CAD: Few-shot anomaly detection for online social networks with meta-learning. - Yongping He; Zihang Feng; Tijin Yan; Yufeng Zhan; Yuanqing Xia (Comput. Networks, 2025)

Learning stabilizable symplectic ODE-net-based MPC for autonomous vehicle trajectory tracking. - Hengheng Gong; Tijin Yan; Huahui Xie; Runze Gao; Yufeng Zhan; Yuanqing Xia (Neurocomputing, 2025)