Zheng Wang

According to our database, Zheng Wang authored at least 19 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Functional Bayesian Tucker Decomposition for Continuous-indexed Tensor Data.

Shikai Fang, Xin Yu, Zheng Wang, Shibo Li, Mike Kirby, Shandian Zhe

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Streaming Factor Trajectory Learning for Temporal Tensor Decomposition.

Shikai Fang, Xin Yu, Shibo Li, Zheng Wang, Mike Kirby, Shandian Zhe

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Meta-Learning with Adjoint Methods.

Shibo Li, Zheng Wang, Akil Narayan, Robert M. Kirby, Shandian Zhe

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Infinite-Fidelity Coregionalization for Physical Simulation.

Shibo Li, Zheng Wang, Robert M. Kirby, Shandian Zhe

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Nonparametric Factor Trajectory Learning for Dynamic Tensor Decomposition.

Zheng Wang, Shandian Zhe

Proceedings of the International Conference on Machine Learning, 2022

Nonparametric Embeddings of Sparse High-Order Interaction Events.

Zheng Wang, Yiming Xu, Conor Tillinghast, Shibo Li, Akil Narayan, Shandian Zhe

Proceedings of the International Conference on Machine Learning, 2022

Nonparametric Sparse Tensor Factorization with Hierarchical Gamma Processes.

Conor Tillinghast, Zheng Wang, Shandian Zhe

Proceedings of the International Conference on Machine Learning, 2022

AutoIP: A United Framework to Integrate Physics into Gaussian Processes.

Da Long, Zheng Wang, Aditi S. Krishnapriyan, Robert M. Kirby, Shandian Zhe, Michael W. Mahoney

Proceedings of the International Conference on Machine Learning, 2022

Physics Informed Deep Kernel Learning.

Zheng Wang, Wei W. Xing, Robert M. Kirby, Shandian Zhe

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Deep Multi-Fidelity Active Learning of High-Dimensional Outputs.

Shibo Li, Zheng Wang, Robert M. Kirby, Shandian Zhe

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Self-Adaptable Point Processes with Nonparametric Time Decays.

Zhimeng Pan, Zheng Wang, Jeff M. Phillips, Shandian Zhe

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Streaming Bayesian Deep Tensor Factorization.

Shikai Fang, Zheng Wang, Zhimeng Pan, Ji Liu, Shandian Zhe

Proceedings of the 38th International Conference on Machine Learning, 2021

Multi-Fidelity High-Order Gaussian Processes for Physical Simulation.

Zheng Wang, Wei W. Xing, Robert Michael Kirby, Shandian Zhe

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Streaming Probabilistic Deep Tensor Factorization.

Shikai Fang, Zheng Wang, Zhimeng Pan, Ji Liu, Shandian Zhe

CoRR, 2020

Physics Regularized Gaussian Processes.

Zheng Wang, Wei W. Xing, Robert Michael Kirby, Shandian Zhe

CoRR, 2020

Streaming Nonlinear Bayesian Tensor Decomposition.

Zhimeng Pan, Zheng Wang, Shandian Zhe

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Self-Modulating Nonparametric Event-Tensor Factorization.

Zheng Wang, Xinqi Chu, Shandian Zhe

Proceedings of the 37th International Conference on Machine Learning, 2020

Scalable Nonparametric Factorization for High-Order Interaction Events.

Zhimeng Pan, Zheng Wang, Shandian Zhe

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Conditional Expectation Propagation.

Zheng Wang, Shandian Zhe

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019