Analysis of Multivariate Scoring Functions for Automatic Unbiased Learning to Rank. - Tao Yang 030; Shikai Fang; Shibo Li; Yulan Wang; Qingyao Ai (CIKM, 2020)

Online Bayesian Sparse Learning with Spike and Slab Priors. - Shikai Fang; Shandian Zhe; Kuang-chih Lee; Kai Zhang 001; Jennifer Neville (ICDM, 2020)

Probabilistic Neural-Kernel Tensor Decomposition. - Conor Tillinghast; Shikai Fang; Kai Zhang 001; Shandian Zhe (ICDM, 2020)

Streaming Probabilistic Deep Tensor Factorization. - Shikai Fang; Zheng Wang 042; Zhimeng Pan; Ji Liu; Shandian Zhe (CoRR, 2020)

Streaming Bayesian Deep Tensor Factorization. - Shikai Fang; Zheng Wang 042; Zhimeng Pan; Ji Liu; Shandian Zhe (ICML, 2021)

Bayesian streaming sparse Tucker decomposition. - Shikai Fang; Robert M. Kirby; Shandian Zhe (UAI, 2021)

Bayesian Continuous-Time Tucker Decomposition. - Shikai Fang; Akil Narayan 001; Robert M. Kirby; Shandian Zhe (ICML, 2022)

Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation. - Yu Chen; Wei Deng 002; Shikai Fang; Fengpei Li; Nicole Tianjiao Yang; Yikai Zhang 003; Kashif Rasul; Shandian Zhe; Anderson Schneider; Yuriy Nevmyvaka (ICML, 2023)

Streaming Factor Trajectory Learning for Temporal Tensor Decomposition. - Shikai Fang; Xin Yu 003; Shibo Li; Zheng Wang 042; Mike Kirby; Shandian Zhe (NeurIPS, 2023)

Dynamic Tensor Decomposition via Neural Diffusion-Reaction Processes. - Zheng Wang; Shikai Fang; Shibo Li; Shandian Zhe (NeurIPS, 2023)

BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decomposition. - Shikai Fang; Qingsong Wen; Shandian Zhe; Liang Sun 001 (CoRR, 2023)

Diffusion-Generative Multi-Fidelity Learning for Physical Simulation. - Zheng Wang; Shibo Li; Shikai Fang; Shandian Zhe (CoRR, 2023)

Functional Bayesian Tucker Decomposition for Continuous-indexed Tensor Data. - Shikai Fang; Xin Yu 003; Zheng Wang 042; Shibo Li; Mike Kirby; Shandian Zhe (ICLR, 2024)

Solving High Frequency and Multi-Scale PDEs with Gaussian Processes. - Shikai Fang; Madison Cooley; Da Long; Shibo Li; Mike Kirby; Shandian Zhe (ICLR, 2024)

BayOTIDE: Bayesian Online Multivariate Time Series Imputation with Functional Decomposition. - Shikai Fang; Qingsong Wen; Yingtao Luo; Shandian Zhe; Liang Sun 001 (ICML, 2024)

MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model. - Junjie Li; Yang Liu 278; Weiqing Liu; Shikai Fang; Lewen Wang; Chang Xu 008; Jiang Bian 002 (ICLR, 2025)

Generalized Temporal Tensor Decomposition with Rank-revealing Latent-ODE. - Panqi Chen; Lei Cheng; Jianlong Li; Weichang Li; Weiqing Liu; Jiang Bian 002; Shikai Fang (CoRR, 2025)

Generating Full-field Evolution of Physical Dynamics from Irregular Sparse Observations. - Panqi Chen; Yifan Sun; Lei Cheng; Yang Yang; Weichang Li; Yang Liu 278; Weiqing Liu; Jiang Bian 002; Shikai Fang (CoRR, 2025)

Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting. - Yingtao Luo; Shikai Fang; Binqing Wu; Qingsong Wen; Liang Sun 001 (CoRR, 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; et al. (CoRR, 2025)