Pei, Yulong

17 publications

ICML 2024 Deep Functional Factor Models: Forecasting High-Dimensional Functional Time Series via Bayesian Nonparametric Factorization Yirui Liu, Xinghao Qiao, Yulong Pei, Liying Wang

NeurIPSW 2024 Graph Transformation Augmentation for Contrastive Learning of Graph-Level Representation: An Initial Exploration Tianchao Li, Yulong Pei

ECML-PKDD 2023 Enhancing Adversarial Training via Reweighting Optimization Trajectory Tianjin Huang, Shiwei Liu, Tianlong Chen, Meng Fang, Li Shen, Vlado Menkovski, Lu Yin, Yulong Pei, Mykola Pechenizkiy

ICMLW 2023 MOLE: MOdular Learning FramEwork via Mutual Information Maximization Tianchao Li, Yulong Pei

ECML-PKDD 2022 Hop-Count Based Self-Supervised Anomaly Detection on Attributed Networks Tianjin Huang, Yulong Pei, Vlado Menkovski, Mykola Pechenizkiy

MLJ 2022 ResGCN: Attention-Based Deep Residual Modeling for Anomaly Detection on Attributed Networks Yulong Pei, Tianjin Huang, Werner van Ipenburg, Mykola Pechenizkiy

UAI 2022 Superposing Many Tickets into One: A Performance Booster for Sparse Neural Network Training Lu Yin, Vlado Menkovski, Meng Fang, Tianjin Huang, Yulong Pei, Mykola Pechenizkiy

LoG 2022 You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets Tianjin Huang, Tianlong Chen, Meng Fang, Vlado Menkovski, Jiaxu Zhao, Lu Yin, Yulong Pei, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy, Shiwei Liu

ACML 2021 Calibrated Adversarial Training Tianjin Huang, Vlado Menkovski, Yulong Pei, Mykola Pechenizkiy

ECML-PKDD 2021 On Generalization of Graph Autoencoders with Adversarial Training Tianjin Huang, Yulong Pei, Vlado Menkovski, Mykola Pechenizkiy

IJCAI 2021 Self-Boosting for Feature Distillation Yulong Pei, Yanyun Qu, Junping Zhang

ICML 2021 Selfish Sparse RNN Training Shiwei Liu, Decebal Constantin Mocanu, Yulong Pei, Mykola Pechenizkiy

AAAI 2020 Fairness in Network Representation by Latent Structural Heterogeneity in Observational Data Xin Du, Yulong Pei, Wouter Duivesteijn, Mykola Pechenizkiy

IJCAI 2018 DyNMF: Role Analytics in Dynamic Social Networks Yulong Pei, Jianpeng Zhang, George H. L. Fletcher, Mykola Pechenizkiy

AAAI 2015 Mining User Interests from Personal Photos Pengtao Xie, Yulong Pei, Yuan Xie, Eric P. Xing

IJCAI 2015 Nonnegative Matrix Tri-Factorization with Graph Regularization for Community Detection in Social Networks Yulong Pei, Nilanjan Chakraborty, Katia P. Sycara

IJCAI 2015 Optimizing Sentence Modeling and Selection for Document Summarization Wenpeng Yin, Yulong Pei