Zheng Wang - RankMe

29 papers A* 10A 7Journal 12

Year	Rank	Type	Title / Venue / Authors
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
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`	Meta-Learning with Adjoint Methods. AISTATS Shibo Li, Zheng Wang, Akil Narayan, 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`	AutoIP: A United Framework to Integrate Physics into Gaussian Processes. ICML Da Long, Zheng Wang, Aditi S. Krishnapriyan, Robert M. Kirby, Shandian Zhe, Michael W. Mahoney
2022	J	`jnl`	AutoIP: A United Framework to Integrate Physics into Gaussian Processes. CoRR Da Long, Zheng Wang, Aditi S. Krishnapriyan, Robert M. Kirby, Shandian Zhe, Michael W. Mahoney
2022	A	`conf`	Deep Multi-Fidelity Active Learning of High-Dimensional Outputs. AISTATS Shibo Li, Zheng Wang, Robert M. Kirby, Shandian Zhe
2022	A*	`conf`	Infinite-Fidelity Coregionalization for Physical Simulation. NeurIPS Shibo Li, Zheng Wang, Robert M. Kirby, Shandian Zhe
2022	J	`jnl`	Infinite-Fidelity Coregionalization for Physical Simulation. CoRR Shibo Li, Zheng Wang, Robert M. Kirby, Shandian Zhe
2022	A*	`conf`	Nonparametric Embeddings of Sparse High-Order Interaction Events. ICML Zheng Wang, Yiming Xu, Conor Tillinghast, Shibo Li, Akil Narayan, Shandian Zhe
2022	J	`jnl`	Nonparametric Embeddings of Sparse High-Order Interaction Events. CoRR Zheng Wang, Yiming Xu, Conor Tillinghast, Shibo Li, Akil Narayan, Shandian Zhe
2022	A*	`conf`	Nonparametric Factor Trajectory Learning for Dynamic Tensor Decomposition. ICML Zheng Wang, Shandian Zhe
2022	J	`jnl`	Nonparametric Factor Trajectory Learning for Dynamic Tensor Decomposition. CoRR Zheng Wang, Shandian Zhe
2022	A*	`conf`	Nonparametric Sparse Tensor Factorization with Hierarchical Gamma Processes. ICML Conor Tillinghast, Zheng Wang, Shandian Zhe
2022	A	`conf`	Physics Informed Deep Kernel Learning. AISTATS Zheng Wang, Wei W. Xing, Robert M. Kirby, Shandian Zhe
2021	J	`jnl`	Meta-Learning with Adjoint Methods. CoRR Shibo Li, Zheng Wang, Akil Narayan, Robert Michael Kirby, Shandian Zhe
2021	A	`conf`	Multi-Fidelity High-Order Gaussian Processes for Physical Simulation. AISTATS Zheng Wang, Wei W. Xing, Robert Michael Kirby, Shandian Zhe
2021	J	`jnl`	Nonparametric Sparse Tensor Factorization with Hierarchical Gamma Processes. CoRR Conor Tillinghast, Zheng Wang, Shandian Zhe
2021	A*	`conf`	Self-Adaptable Point Processes with Nonparametric Time Decays. NeurIPS Zhimeng Pan, Zheng Wang, Jeff M. Phillips, Shandian Zhe
2021	A*	`conf`	Streaming Bayesian Deep Tensor Factorization. ICML Shikai Fang, Zheng Wang, Zhimeng Pan, Ji Liu, Shandian Zhe
2020	J	`jnl`	Multi-Fidelity High-Order Gaussian Processes for Physical Simulation. CoRR Zheng Wang, Wei W. Xing, Robert Michael Kirby, Shandian Zhe
2020	J	`jnl`	Physics Regularized Gaussian Processes. CoRR Zheng Wang, Wei W. Xing, Robert Michael Kirby, Shandian Zhe
2020	A	`conf`	Scalable Nonparametric Factorization for High-Order Interaction Events. AISTATS Zhimeng Pan, Zheng Wang, Shandian Zhe
2020	A*	`conf`	Self-Modulating Nonparametric Event-Tensor Factorization. ICML Zheng Wang, Xinqi Chu, Shandian Zhe
2020	A	`conf`	Streaming Nonlinear Bayesian Tensor Decomposition. UAI Zhimeng Pan, Zheng Wang, Shandian Zhe
2020	J	`jnl`	Streaming Probabilistic Deep Tensor Factorization. CoRR Shikai Fang, Zheng Wang, Zhimeng Pan, Ji Liu, Shandian Zhe
2019	A	`conf`	Conditional Expectation Propagation. UAI Zheng Wang, Shandian Zhe
2019	J	`jnl`	Conditional Expectation Propagation. CoRR Zheng Wang, Shandian Zhe