Shikai Fang

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 20

Top Topics

Tensor Decomposition

Top Venues

Publications

Shikai Fang, Madison Cooley, Da Long, Shibo Li, Mike Kirby, Shandian Zhe
Solving High Frequency and Multi-Scale PDEs with Gaussian Processes. ICLR (2024)
Shikai Fang, Xin Yu, Zheng Wang, Shibo Li, Mike Kirby, Shandian Zhe
Functional Bayesian Tucker Decomposition for Continuous-indexed Tensor Data. ICLR (2024)
Zheng Wang, Shikai Fang, Shibo Li, Shandian Zhe
Dynamic Tensor Decomposition via Neural Diffusion-Reaction Processes. NeurIPS (2023)
Yu Chen, Wei Deng, Shikai Fang, Fengpei Li, Nicole Tianjiao Yang, Yikai Zhang, Kashif Rasul, Shandian Zhe, Anderson Schneider, Yuriy Nevmyvaka
Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation. CoRR (2023)
Shikai Fang, Xin Yu, Shibo Li, Zheng Wang, Mike Kirby, Shandian Zhe
Streaming Factor Trajectory Learning for Temporal Tensor Decomposition. NeurIPS (2023)
Zheng Wang, Shibo Li, Shikai Fang, Shandian Zhe
Diffusion-Generative Multi-Fidelity Learning for Physical Simulation. CoRR (2023)
Shikai Fang, Madison Cooley, Da Long, Shibo Li, Robert M. Kirby, Shandian Zhe
Solving High Frequency and Multi-Scale PDEs with Gaussian Processes. CoRR (2023)
Shikai Fang, Qingsong Wen, Shandian Zhe, Liang Sun
BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decomposition. CoRR (2023)
Yu Chen, Wei Deng, Shikai Fang, Fengpei Li, Nicole Tianjiao Yang, Yikai Zhang, Kashif Rasul, Shandian Zhe, Anderson Schneider, Yuriy Nevmyvaka
Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation. ICML (2023)
Shikai Fang, Xin Yu, Shibo Li, Zheng Wang, Robert M. Kirby, Shandian Zhe
Streaming Factor Trajectory Learning for Temporal Tensor Decomposition. CoRR (2023)
Zheng Wang, Shikai Fang, Shibo Li, Shandian Zhe
Dynamic Tensor Decomposition via Neural Diffusion-Reaction Processes. CoRR (2023)
Shikai Fang, Xin Yu, Zheng Wang, Shibo Li, Mike Kirby, Shandian Zhe
Functional Bayesian Tucker Decomposition for Continuous-indexed Tensor Data. CoRR (2023)
Shikai Fang, Akil Narayan, Robert M. Kirby, Shandian Zhe
Bayesian Continuous-Time Tucker Decomposition. ICML (2022)
Shikai Fang, Robert M. Kirby, Shandian Zhe
Bayesian streaming sparse Tucker decomposition. UAI (2021)
Shikai Fang, Zheng Wang, Zhimeng Pan, Ji Liu, Shandian Zhe
Streaming Bayesian Deep Tensor Factorization. ICML (2021)
Tao Yang, Shikai Fang, Shibo Li, Yulan Wang, Qingyao Ai
Analysis of Multivariate Scoring Functions for Automatic Unbiased Learning to Rank. CoRR (2020)
Shikai Fang, Zheng Wang, Zhimeng Pan, Ji Liu, Shandian Zhe
Streaming Probabilistic Deep Tensor Factorization. CoRR (2020)
Shikai Fang, Shandian Zhe, Kuang-chih Lee, Kai Zhang, Jennifer Neville
Online Bayesian Sparse Learning with Spike and Slab Priors. ICDM (2020)
Tao Yang, Shikai Fang, Shibo Li, Yulan Wang, Qingyao Ai
Analysis of Multivariate Scoring Functions for Automatic Unbiased Learning to Rank. CIKM (2020)
Conor Tillinghast, Shikai Fang, Kai Zhang, Shandian Zhe
Probabilistic Neural-Kernel Tensor Decomposition. ICDM (2020)