Ruikun Li

11 papers A* 1B 1Journal 6Unranked 3
YearRankTypeTitle / Venue / Authors
2025 — conf
GDendrite: On Heterophilous Graph Contexts Mining with Versatile Neural Dendrites Framework.
KDD (2)
Ruikun Li, Ye Xiao, Xiaoxiao Ma, Andrey Vasnev, Junbin Gao
2025 — conf
On Leveraging Anomalies with Reference Alignment in Graph-Level Anomaly Detection.
PAKDD (1)
Ye Xiao, Ruikun Li, Andrey Vasnev, Junbin Gao
2025 J jnl
UFGTime: Mining Intertwined Dependencies in Multivariate Time Series via an Efficient Pure Graph Approach (Flavor: Foundations and Algorithms Papers).
Proc. VLDB Endow.
Ruikun Li, Dai Shi, Ye Xiao, Junbin Gao
2024 J jnl
Diffusion models for time-series applications: a survey.
Frontiers Inf. Technol. Electron. Eng.
Lequan Lin, Zhengkun Li, Ruikun Li, Xuliang Li, Junbin Gao
2024 A* conf
Graph Anomaly Detection with Few Labels: A Data-Centric Approach.
KDD
Xiaoxiao Ma, Ruikun Li, Fanzhen Liu, Kaize Ding, Jian Yang, Jia Wu
2024 J jnl
Graph Denoising With Framelet Regularizers.
IEEE Trans. Pattern Anal. Mach. Intell.
Bingxin Zhou, Ruikun Li, Xuebin Zheng, Yu Guang Wang, Junbin Gao
2023 J jnl
Diffusion Models for Time Series Applications: A Survey.
CoRR
Lequan Lin, Zhengkun Li, Ruikun Li, Xuliang Li, Junbin Gao
2023 B conf
Enhanced Loss Function based on Laplacian Eigenmaps for Graph Classification.
IJCNN
Ye Xiao, Ruikun Li, Andrey Vasnev, Junbin Gao
2023 — conf
Graph Convolution Recurrent Denoising Diffusion Model for Multivariate Probabilistic Temporal Forecasting.
ADMA (1)
Ruikun Li, Xuliang Li, Shiying Gao, S. T. Boris Choy, Junbin Gao
2023 J jnl
Graph structure learning layer and its graph convolution clustering application.
Neural Networks
Xiaxia He, Boyue Wang, Ruikun Li, Junbin Gao, Yongli Hu, Guangyu Huo, Baocai Yin
2021 J jnl
Graph Denoising with Framelet Regularizer.
CoRR
Bingxin Zhou, Ruikun Li, Xuebin Zheng, Yu Guang Wang, Junbin Gao