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Books and Theses
- 2020
[b1]Sikun Yang:
Non-parametric Bayesian Latent Factor Models for Network Reconstruction. Darmstadt University of Technology, Germany, 2020
Conference and Workshop Papers
- 2024
- [c8]Sikun Yang, Hongyuan Zha:
A Variational Autoencoder for Neural Temporal Point Processes with Dynamic Latent Graphs. AAAI 2024: 16343-16351 - [c7]Rui Huang, Sikun Yang, Heinz Koeppl:
Negative-Binomial Randomized Gamma Dynamical Systems for Heterogeneous Overdispersed Count Time Sequences. IJCAI 2024: 4174-4182 - 2023
- [c6]Sikun Yang, Hongyuan Zha:
Estimating Latent Population Flows from Aggregated Data via Inversing Multi-Marginal Optimal Transport. SDM 2023: 181-189 - 2020
- [c5]Sikun Yang, Heinz Koeppl:
The Hawkes Edge Partition Model for Continuous-time Event-based Temporal Networks. UAI 2020: 460-469 - 2018
- [c4]Sikun Yang, Heinz Koeppl:
A Poisson Gamma Probabilistic Model for Latent Node-Group Memberships in Dynamic Networks. AAAI 2018: 4366-4373 - [c3]Sikun Yang, Heinz Koeppl:
Collapsed Variational Inference for Nonparametric Bayesian Group Factor Analysis. ICDM 2018: 687-696 - [c2]Sikun Yang, Heinz Koeppl:
Dependent Relational Gamma Process Models for Longitudinal Networks. ICML 2018: 5547-5556 - 2013
- [c1]Sikun Yang, Eng Keong Lua, Yizhi Wang:
Towards human-centric personalized expertise ranking in community-based question answering. FhMN@SIGCOMM 2013: 41-46
Informal and Other Publications
- 2024
- [i10]Jiahao Wang, Sikun Yang, Heinz Koeppl, Xiuzhen Cheng, Pengfei Hu, Guoming Zhang:
Poisson-Gamma Dynamical Systems with Non-Stationary Transition Dynamics. CoRR abs/2402.16297 (2024) - [i9]Rui Huang, Sikun Yang, Heinz Koeppl:
Negative-Binomial Randomized Gamma Markov Processes for Heterogeneous Overdispersed Count Time Series. CoRR abs/2402.18995 (2024) - [i8]Sikun Yang, Heinz Koeppl:
Scaling up Dynamic Edge Partition Models via Stochastic Gradient MCMC. CoRR abs/2403.00044 (2024) - [i7]Xin Jing, Yichen Jing, Yuhuan Lu, Bangchao Deng, Sikun Yang, Dingqi Yang:
On Your Mark, Get Set, Predict! Modeling Continuous-Time Dynamics of Cascades for Information Popularity Prediction. CoRR abs/2409.16623 (2024) - 2023
- [i6]Jin Guo, Ting Gao, Yufu Lan, Peng Zhang, Sikun Yang, Jinqiao Duan:
Learning Stochastic Dynamical Systems as an Implicit Regularization with Graph Neural Networks. CoRR abs/2307.06097 (2023) - [i5]Sikun Yang, Hongyuan Zha:
Dynamic Latent Graph-Guided Neural Temporal Point Processes. CoRR abs/2312.16083 (2023) - 2022
- [i4]Sikun Yang, Hongyuan Zha:
Estimating Latent Population Flows from Aggregated Data via Inversing Multi-Marginal Optimal Transport. CoRR abs/2212.14527 (2022) - 2020
- [i3]Sikun Yang, Heinz Koeppl:
The Hawkes Edge Partition Model for Continuous-time Event-based Temporal Networks. CoRR abs/2006.12952 (2020) - 2018
- [i2]Sikun Yang, Heinz Koeppl:
A Poisson Gamma Probabilistic Model for Latent Node-group Memberships in Dynamic Networks. CoRR abs/1805.11054 (2018) - [i1]Sikun Yang, Heinz Koeppl:
Collapsed Variational Inference for Nonparametric Bayesian Group Factor Analysis. CoRR abs/1809.03566 (2018)
Coauthor Index
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