Posts by Collection

portfolio

Portfolio item number 1

Short description of portfolio item number 1

Portfolio item number 2

Short description of portfolio item number 2

publications

Multivariate Scoring Functions

Published in , 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 29th ACM International Conference on Information and Knowledge Management (CIKM 2020)
Paper | Video

Online Bayesian Sparse Learning

Published in , 2020

Online Bayesian Sparse Learning with Spike and Slab Priors
Shikai Fang, Shandian Zhe, Kuang-chih Lee, Kai Zhang, Jennifer Neville
IEEE International Conference on Data Mining (ICDM 2020)
Paper | Code | Slides

Probabilistic Neural Kernel Tensor

Published in , 2020

Probabilistic Neural-Kernel Tensor Decomposition
Conor Tillinghast, Shikai Fang, Kai Zhang, Shandian Zhe
IEEE International Conference on Data Mining (ICDM 2020)
Paper | Code | Slides

Bayesian Streaming Sparse Tucker

Published in , 2021

Bayesian Streaming Sparse Tucker Decomposition
Shikai Fang, Robert. M. Kirby, Shandian Zhe
The 37th Conference on Uncertainty in Artificial Intelligence (UAI 2021)
Paper | Code | Slides | Supp

Streaming Bayesian Deep Tensor

Published in , 2021

Streaming Bayesian Deep Tensor Factorization
Shikai Fang, Zheng Wang, Zhimeng Pan, Ji Liu, Shandian Zhe
The 38th International Conference on Machine Learning (ICML 2021)
Paper | Code | Supp | Video | Slides

Bayesian Continuous Time Tucker

Published in , 2022

Bayesian Continuous-Time Tucker Decomposition
Shikai Fang, Akil Narayan, Robert Kirby, Shandian Zhe
The 39th International Conference on Machine Learning (ICML 2022) [Oral (top 2%)]
Paper | Code | Slides | Poster | Video

Schrodinger Bridge

Published in , 2023

Provably Convergent Schrodinger Bridge with Applications to Probabilistic Time Series Imputation
Yu Chen^*, Wei Deng^*, Shikai Fang^*, Fengpei Li^*, Tianjiao Nicole Yang, Yikai Zhang, Kashif Rasul, Shandian Zhe, Anderson Schneider, Yuriy Nevmyvaka
The 40th International Conference on Machine Learning (ICML 2023)
Paper | Code

Multi Omic Integration

Published in , 2023

Multi-Omic Integration of Blood-Based Tumor Associated Genomic And Lipidomic Profiles Using Machine Learning Models in Metastatic Prostate Cancer
Shikai Fang, Shandian Zhe, Hui-Ming Lin, Arun A. Azad, Heidi Fettke, Edmond M Kwan, Lisa Horvath, Blossom Mak, Tiantian Zheng, Pan Du, Shidong Jia, Robert M. Kirby, Manish Kohli MD
JCO Clinical Cancer Informatics (JCO CCI) [most read paper on JCO CCI!]
Paper | PDF | Supp

Dynamic Tensor Decomposition

Published in , 2023

Dynamic Tensor Decomposition via Neural Diffusion-Reaction Processes
Zheng Wang^*, Shikai Fang^*, Shibo Li, Shandian Zhe
The 37th Conference on Neural Information Processing Systems (NeurIPS 2023) [Spotlight! (top 10%)]
Paper | Code | Poster

Streaming Factor Trajectory

Published in , 2023

Streaming Factor Trajectory Learning for Temporal Tensor Decomposition
Shikai Fang, Xin Yu, Shibo Li, Zheng Wang, Robert Kirby, Shandian Zhe
The 37th Conference on Neural Information Processing Systems (NeurIPS 2023)
Paper | Code | Poster | Slides

Functional Bayesian Tucker

Published in , 2024

Functional Bayesian Tucker Decomposition for Continuous-indexed Tensor
Shikai Fang, Xin Yu, Zheng Wang, Shibo Li, Mike Kirby, Shandian Zhe
The 12th International Conference on Learning Representations (ICLR 2024)
Paper | Code | Poster | Slides

Gaussian Process Pde

Published in , 2024

Solving High Frequency and Multi-Scale PDEs with Gaussian Processes
Shikai Fang^*, Madison Cooley^*, Da Long^*, Shibo Li, Robert Kirby, Shandian Zhe
The 12th International Conference on Learning Representations (ICLR 2024)
Paper | Code | Poster | Slides

Bayotide

Published in , 2024

BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decomposition
Shikai Fang, Qingsong Wen, Yingtao Luo, Shandian Zhe, Liang Sun
The 41st International Conference on Machine Learning (ICML 2024)[Spotlight! (top 3%)]
Paper | Code | Slides

Catte Tensor

Published in , 2025

Generalized Temporal Tensor Decomposition with Rank-revealing Latent-ODE
Panqi Chen, Lei Cheng, Jianlong Li, Weichang Li, Weiqing Liu, Jiang Bian, Shikai Fang
Arxiv

Sdift Diffusion

Published in , 2025

Generating Full-field Evolution of Physical Dynamics from Irregular Sparse Observations
Panqi Chen, Yifan Sun, Lei Cheng, Yang Yang, Weichang Li, Yang Liu, Weiqing Liu, Jiang Bian, Shikai Fang
Arxiv

Mars

Published in , 2025

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
The 13th International Conference on Learning Representations (ICLR 2025)
Arxiv | Code | Website | Github Star 1.4k+!

Sound Speed Sr Diffusion

Published in , 2025

Hybrid data-and model-driven three-dimensional ocean sound speed field super-resolution: Diffusion model meets low-rank tensor
Yifan Sun, Siyuan Li, Shikai Fang, Lei Cheng, Jianlong Li, Peter Gerstoft
The Journal of the Acoustical Society of America (JASA)
Paper | Code

Phy Guidied Weather Downscaling

Published in , 2025

Physics-Guided Learning of Meteorological Dynamics for Weather Forecasting and Downscaling
Yingtao Luo, Shikai Fang, Binqing Wu, Qingsong Wen, Liang Sun
2025 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2025)
Arxiv | Code

Rdagent

Published in , 2025

R&D-Agent: Automating Data-Driven AI Solution Building Through LLM-Powered Automated Research, Development, and Evolution
Xu Yang^*, Xiao Yang^*,Shikai Fang, Bowen Xian, Yuante Li, Jian Wang, Minrui Xu, Haoran Pan, Xinpeng Hong, Weiqing Liu, Yelong Shen, Weizhu Chen, Jiang Bian
Arxiv | Code | Github Star 5.8k+! | Best MLE agent verified by OpenAI-MLE-Bench!