Sikun Yang

34 papers A* 8A 2Journal 20Unranked 3
YearRankTypeTitle / Venue / Authors
2026 A* conf
Sparse Poisson Gamma Belief Networks for High-Dimensional Sparse Count Data.
AAAI
Rui Huang, Dian Meng, Xun Zhou, Sikun Yang
2026 J jnl
Stochastic Voronoi Ensembles for Anomaly Detection.
CoRR
Yang Cao, Sikun Yang, Xuyun Zhang, Yujiu Yang
2026 A* conf
Towards Token-Level Text Anomaly Detection.
WWW
Yang Cao, Bicheng Yu, Sikun Yang, Ming Liu, Yujiu Yang
2026 J jnl
Towards Token-Level Text Anomaly Detection.
CoRR
Yang Cao, Bicheng Yu, Sikun Yang, Ming Liu, Yujiu Yang
2025 J jnl
CauchyNet: Compact and Data-Efficient Learning using Holomorphic Activation Functions.
CoRR
Hong-Kun Zhang, Xin Li, Sikun Yang, Zhihong Xia
2025 — conf
Conformalized Exceptional Model Mining: Telling Where Your Model Performs (Not) Well.
ECML/PKDD (3)
Xin Du, Sikun Yang, Wouter Duivesteijn, Mykola Pechenizkiy
2025 J jnl
Conformalized Exceptional Model Mining: Telling Where Your Model Performs (Not) Well.
CoRR
Xin Du, Sikun Yang, Wouter Duivesteijn, Mykola Pechenizkiy
2025 J jnl
Isolation-based Spherical Ensemble Representations for Anomaly Detection.
CoRR
Yang Cao, Sikun Yang, Hao Tian, Kai He, Lianyong Qi, Ming Liu, Yujiu Yang
2025 J jnl
Kernel Representation and Similarity Measure for Incomplete Data.
CoRR
Yang Cao, Sikun Yang, Kai He, Wenjun Ma, Ming Liu, Yujiu Yang, Jian Weng
2025 J jnl
On Your Mark, Get Set, Predict! Modeling Continuous-Time Dynamics of Cascades for Information Popularity Prediction.
IEEE Trans. Knowl. Data Eng.
Xin Jing, Yichen Jing, Yuhuan Lu, Bangchao Deng, Sikun Yang, Dingqi Yang
2025 J jnl
TAD-Bench: A Comprehensive Benchmark for Embedding-Based Text Anomaly Detection.
CoRR
Yang Cao, Sikun Yang, Chen Li, Haolong Xiang, Lianyong Qi, Bo Liu, Rongsheng Li, Ming Liu
2025 — conf
Text Anomaly Detection with Simplified Isolation Kernel.
EMNLP (Findings)
Yang Cao, Sikun Yang, Yu-Jiu Yang, Lianyong Qi, Ming Liu
2025 J jnl
Text Anomaly Detection with Simplified Isolation Kernel.
CoRR
Yang Cao, Sikun Yang, Yujiu Yang, Lianyong Qi, Ming Liu
2025 A* conf
Tracking Latent Communities Evolution with Hierarchical Edge Partition Models.
ICDM
Xincan Yu, Nan Fang, Hao Liao, Sikun Yang
2024 A* conf
A Variational Autoencoder for Neural Temporal Point Processes with Dynamic Latent Graphs.
AAAI
Sikun Yang, Hongyuan Zha
2024 J jnl
Hierarchical-Graph-Structured Edge Partition Models for Learning Evolving Community Structure.
CoRR
Xincan Yu, Sikun Yang
2024 A* conf
Negative-Binomial Randomized Gamma Dynamical Systems for Heterogeneous Overdispersed Count Time Sequences.
IJCAI
Rui Huang, Sikun Yang, Heinz Koeppl
2024 J jnl
Negative-Binomial Randomized Gamma Markov Processes for Heterogeneous Overdispersed Count Time Series.
CoRR
Rui Huang, Sikun Yang, Heinz Koeppl
2024 J jnl
On Your Mark, Get Set, Predict! Modeling Continuous-Time Dynamics of Cascades for Information Popularity Prediction.
CoRR
Xin Jing, Yichen Jing, Yuhuan Lu, Bangchao Deng, Sikun Yang, Dingqi Yang
2024 J jnl
Poisson-Gamma Dynamical Systems with Non-Stationary Transition Dynamics.
CoRR
Jiahao Wang, Sikun Yang, Heinz Koeppl, Xiuzhen Cheng, Pengfei Hu, Guoming Zhang
2024 J jnl
Scaling up Dynamic Edge Partition Models via Stochastic Gradient MCMC.
CoRR
Sikun Yang, Heinz Koeppl
2023 J jnl
Dynamic Latent Graph-Guided Neural Temporal Point Processes.
CoRR
Sikun Yang, Hongyuan Zha
2023 A conf
Estimating Latent Population Flows from Aggregated Data via Inversing Multi-Marginal Optimal Transport.
SDM
Sikun Yang, Hongyuan Zha
2023 J jnl
Learning Stochastic Dynamical Systems as an Implicit Regularization with Graph Neural Networks.
CoRR
Jin Guo, Ting Gao, Yufu Lan, Peng Zhang, Sikun Yang, Jinqiao Duan
2022 J jnl
Estimating Latent Population Flows from Aggregated Data via Inversing Multi-Marginal Optimal Transport.
CoRR
Sikun Yang, Hongyuan Zha
2020 — —
Non-parametric Bayesian Latent Factor Models for Network Reconstruction.
Sikun Yang
2020 A conf
The Hawkes Edge Partition Model for Continuous-time Event-based Temporal Networks.
UAI
Sikun Yang, Heinz Koeppl
2020 J jnl
The Hawkes Edge Partition Model for Continuous-time Event-based Temporal Networks.
CoRR
Sikun Yang, Heinz Koeppl
2018 A* conf
A Poisson Gamma Probabilistic Model for Latent Node-Group Memberships in Dynamic Networks.
AAAI
Sikun Yang, Heinz Koeppl
2018 J jnl
A Poisson Gamma Probabilistic Model for Latent Node-group Memberships in Dynamic Networks.
CoRR
Sikun Yang, Heinz Koeppl
2018 A* conf
Collapsed Variational Inference for Nonparametric Bayesian Group Factor Analysis.
ICDM
Sikun Yang, Heinz Koeppl
2018 J jnl
Collapsed Variational Inference for Nonparametric Bayesian Group Factor Analysis.
CoRR
Sikun Yang, Heinz Koeppl
2018 A* conf
Dependent Relational Gamma Process Models for Longitudinal Networks.
ICML
Sikun Yang, Heinz Koeppl
2013 — conf
Towards human-centric personalized expertise ranking in community-based question answering.
FhMN@SIGCOMM
Sikun Yang, Eng Keong Lua, Yizhi Wang