Shikai Fang

According to our database, Shikai Fang authored at least 16 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model.

Junjie Li, Yang Liu, Weiqing Liu, Shikai Fang, Lewen Wang, Chang Xu, Jiang Bian

CoRR, 2024

BayOTIDE: Bayesian Online Multivariate Time Series Imputation with Functional Decomposition.

Shikai Fang, Qingsong Wen, Yingtao Luo, Shandian Zhe, Liang Sun

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Solving High Frequency and Multi-Scale PDEs with Gaussian Processes.

Shikai Fang, Madison Cooley, Da Long, Shibo Li, Mike Kirby, Shandian Zhe

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Functional Bayesian Tucker Decomposition for Continuous-indexed Tensor Data.

Shikai Fang, Xin Yu, Zheng Wang, Shibo Li, Mike Kirby, Shandian Zhe

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Diffusion-Generative Multi-Fidelity Learning for Physical Simulation.

Zheng Wang, Shibo Li, Shikai Fang, Shandian Zhe

CoRR, 2023

BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decomposition.

Shikai Fang, Qingsong Wen, Shandian Zhe, Liang Sun

CoRR, 2023

Dynamic Tensor Decomposition via Neural Diffusion-Reaction Processes.

Zheng Wang, Shikai Fang, Shibo Li, Shandian Zhe

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Streaming Factor Trajectory Learning for Temporal Tensor Decomposition.

Shikai Fang, Xin Yu, Shibo Li, Zheng Wang, Mike Kirby, Shandian Zhe

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation.

Yu Chen, Wei Deng, Shikai Fang, Fengpei Li, Nicole Tianjiao Yang, Yikai Zhang, Kashif Rasul, Shandian Zhe, Anderson Schneider, Yuriy Nevmyvaka

Proceedings of the International Conference on Machine Learning, 2023

2022

Bayesian Continuous-Time Tucker Decomposition.

Shikai Fang, Akil Narayan, Robert M. Kirby, Shandian Zhe

Proceedings of the International Conference on Machine Learning, 2022

2021

Bayesian streaming sparse Tucker decomposition.

Shikai Fang, Robert M. Kirby, Shandian Zhe

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Streaming Bayesian Deep Tensor Factorization.

Shikai Fang, Zheng Wang, Zhimeng Pan, Ji Liu, Shandian Zhe

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Streaming Probabilistic Deep Tensor Factorization.

Shikai Fang, Zheng Wang, Zhimeng Pan, Ji Liu, Shandian Zhe

CoRR, 2020

Probabilistic Neural-Kernel Tensor Decomposition.

Conor Tillinghast, Shikai Fang, Kai Zhang, Shandian Zhe

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Online Bayesian Sparse Learning with Spike and Slab Priors.

Shikai Fang, Shandian Zhe, Kuang-chih Lee, Kai Zhang, Jennifer Neville

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Analysis of Multivariate Scoring Functions for Automatic Unbiased Learning to Rank.

Tao Yang, Shikai Fang, Shibo Li, Yulan Wang, Qingyao Ai

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020