Publications

(^*:equal contribution, ^†:corresponding author)

Preprints

• 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 | Best MLE agent verified by OpenAI-MLE-Bench!

Published Papers

• 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†
  The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025)
  Arxiv | Code

• CATTE :Functional Complexity-adaptive Temporal Tensor Decomposition
  Panqi Chen, Lei Cheng†, Jianlong Li, Weichang Li, Weiqing Liu, Jiang Bian, Shikai Fang†
  The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025)
  Arxiv | Code

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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 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

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

• 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

• 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