Shikai Fang - RankMe

32 papers A* 11A 2Journal 18Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Reasoning as Gradient: Scaling MLE Agents Beyond Tree Search. CoRR Yifei Zhang, Xu Yang, Xiao Yang, Bowen Xian, Qizheng Li, Shikai Fang, Jingyuan Li, Jian Wang, Mingrui Xu, Weiqing Liu, Jiang Bian
2025	J	`jnl`	Generalized Temporal Tensor Decomposition with Rank-revealing Latent-ODE. CoRR Panqi Chen, Lei Cheng, Jianlong Li, Weichang Li, Weiqing Liu, Jiang Bian, Shikai Fang
2025	J	`jnl`	Generating Full-field Evolution of Physical Dynamics from Irregular Sparse Observations. CoRR Panqi Chen, Yifan Sun, Lei Cheng, Yang Yang, Weichang Li, Yang Liu, Weiqing Liu, Jiang Bian, Shikai Fang
2025	J	`jnl`	Less Is More: Generating Time Series with LLaMA-Style Autoregression in Simple Factorized Latent Spaces. CoRR Siyuan Li, Yifan Sun, Lei Cheng, Lewen Wang, Yang Liu, Weiqing Liu, Jianlong Li, Jiang Bian, Shikai Fang
2025	A*	`conf`	MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model. ICLR Junjie Li, Yang Liu, Weiqing Liu, Shikai Fang, Lewen Wang, Chang Xu, Jiang Bian
2025	—	`conf`	Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting. KDD (2) Yingtao Luo, Shikai Fang, Binqing Wu, Qingsong Wen, Liang Sun
2025	J	`jnl`	Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting. CoRR Yingtao Luo, Shikai Fang, Binqing Wu, Qingsong Wen, Liang Sun
2025	J	`jnl`	R&D-Agent: Automating Data-Driven AI Solution Building Through LLM-Powered Automated Research, Development, and Evolution. CoRR 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
2025	J	`jnl`	When Bayesian Tensor Completion Meets Multioutput Gaussian Processes: Functional Universality and Rank Learning. CoRR Siyuan Li, Shikai Fang, Lei Cheng, Feng Yin, Yik-Chung Wu, Peter Gerstoft, Sergios Theodoridis
2025	J	`jnl`	When Bayesian Tensor Completion Meets Multioutput Gaussian Processes: Functional Universality and Rank Learning. IEEE Trans. Signal Process. Siyuan Li, Shikai Fang, Lei Cheng, Feng Yin, Yik-Chung Wu, Peter Gerstoft, Sergios Theodoridis
2024	A*	`conf`	BayOTIDE: Bayesian Online Multivariate Time Series Imputation with Functional Decomposition. ICML Shikai Fang, Qingsong Wen, Yingtao Luo, Shandian Zhe, Liang Sun
2024	A*	`conf`	Functional Bayesian Tucker Decomposition for Continuous-indexed Tensor Data. ICLR Shikai Fang, Xin Yu, Zheng Wang, Shibo Li, Mike Kirby, Shandian Zhe
2024	J	`jnl`	MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model. CoRR Junjie Li, Yang Liu, Weiqing Liu, Shikai Fang, Lewen Wang, Chang Xu, Jiang Bian
2024	A*	`conf`	Solving High Frequency and Multi-Scale PDEs with Gaussian Processes. ICLR Shikai Fang, Madison Cooley, Da Long, Shibo Li, Mike Kirby, Shandian Zhe
2023	J	`jnl`	BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decomposition. CoRR Shikai Fang, Qingsong Wen, Shandian Zhe, Liang Sun
2023	J	`jnl`	Diffusion-Generative Multi-Fidelity Learning for Physical Simulation. CoRR Zheng Wang, Shibo Li, Shikai Fang, Shandian Zhe
2023	A*	`conf`	Dynamic Tensor Decomposition via Neural Diffusion-Reaction Processes. NeurIPS Zheng Wang, Shikai Fang, Shibo Li, Shandian Zhe
2023	J	`jnl`	Dynamic Tensor Decomposition via Neural Diffusion-Reaction Processes. CoRR Zheng Wang, Shikai Fang, Shibo Li, Shandian Zhe
2023	J	`jnl`	Functional Bayesian Tucker Decomposition for Continuous-indexed Tensor Data. CoRR Shikai Fang, Xin Yu, Zheng Wang, Shibo Li, Mike Kirby, Shandian Zhe
2023	A*	`conf`	Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation. ICML Yu Chen, Wei Deng, Shikai Fang, Fengpei Li, Nicole Tianjiao Yang, Yikai Zhang, Kashif Rasul, Shandian Zhe, Anderson Schneider, Yuriy Nevmyvaka
2023	J	`jnl`	Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation. CoRR Yu Chen, Wei Deng, Shikai Fang, Fengpei Li, Nicole Tianjiao Yang, Yikai Zhang, Kashif Rasul, Shandian Zhe, Anderson Schneider, Yuriy Nevmyvaka
2023	J	`jnl`	Solving High Frequency and Multi-Scale PDEs with Gaussian Processes. CoRR Shikai Fang, Madison Cooley, Da Long, Shibo Li, Robert M. Kirby, Shandian Zhe
2023	A*	`conf`	Streaming Factor Trajectory Learning for Temporal Tensor Decomposition. NeurIPS Shikai Fang, Xin Yu, Shibo Li, Zheng Wang, Mike Kirby, Shandian Zhe
2023	J	`jnl`	Streaming Factor Trajectory Learning for Temporal Tensor Decomposition. CoRR Shikai Fang, Xin Yu, Shibo Li, Zheng Wang, Robert M. Kirby, Shandian Zhe
2022	A*	`conf`	Bayesian Continuous-Time Tucker Decomposition. ICML Shikai Fang, Akil Narayan, Robert M. Kirby, Shandian Zhe
2021	A	`conf`	Bayesian streaming sparse Tucker decomposition. UAI Shikai Fang, Robert M. Kirby, Shandian Zhe
2021	A*	`conf`	Streaming Bayesian Deep Tensor Factorization. ICML Shikai Fang, Zheng Wang, Zhimeng Pan, Ji Liu, Shandian Zhe
2020	A	`conf`	Analysis of Multivariate Scoring Functions for Automatic Unbiased Learning to Rank. CIKM Tao Yang, Shikai Fang, Shibo Li, Yulan Wang, Qingyao Ai
2020	J	`jnl`	Analysis of Multivariate Scoring Functions for Automatic Unbiased Learning to Rank. CoRR Tao Yang, Shikai Fang, Shibo Li, Yulan Wang, Qingyao Ai
2020	A*	`conf`	Online Bayesian Sparse Learning with Spike and Slab Priors. ICDM Shikai Fang, Shandian Zhe, Kuang-Chih Lee, Kai Zhang, Jennifer Neville
2020	A*	`conf`	Probabilistic Neural-Kernel Tensor Decomposition. ICDM Conor Tillinghast, Shikai Fang, Kai Zhang, Shandian Zhe
2020	J	`jnl`	Streaming Probabilistic Deep Tensor Factorization. CoRR Shikai Fang, Zheng Wang, Zhimeng Pan, Ji Liu, Shandian Zhe