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Residual Graph Convolutional Recurrent Networks For Multi-step Traffic Flow Forecasting


May 03, 2022
Wei Zhao, Shiqi Zhang, Bing Zhou, Bei Wang


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RMFGP: Rotated Multi-fidelity Gaussian process with Dimension Reduction for High-dimensional Uncertainty Quantification


Apr 11, 2022
Jiahao Zhang, Shiqi Zhang, Guang Lin


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MultiAuto-DeepONet: A Multi-resolution Autoencoder DeepONet for Nonlinear Dimension Reduction, Uncertainty Quantification and Operator Learning of Forward and Inverse Stochastic Problems


Apr 07, 2022
Jiahao Zhang, Shiqi Zhang, Guang Lin


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PAGP: A physics-assisted Gaussian process framework with active learning for forward and inverse problems of partial differential equations


Apr 06, 2022
Jiahao Zhang, Shiqi Zhang, Guang Lin


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STCGAT: Spatial-temporal causal networks for complex urban road traffic flow prediction


Mar 21, 2022
Wei Zhao, Shiqi Zhang, Bing Zhou, Bei Wang


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Visually Grounded Task and Motion Planning for Mobile Manipulation


Feb 24, 2022
Xiaohan Zhang, Yifeng Zhu, Yan Ding, Yuke Zhu, Peter Stone, Shiqi Zhang

* To be published in IEEE International Conference on Robotics and Automation (ICRA), May 23-27, 2022 

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Reasoning with Scene Graphs for Robot Planning under Partial Observability


Feb 21, 2022
Saeid Amiri, Kishan Chandan, Shiqi Zhang

* Accepted at ICRA (RA-L Option) 2022 

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DeepONet-Grid-UQ: A Trustworthy Deep Operator Framework for Predicting the Power Grid's Post-Fault Trajectories


Feb 15, 2022
Christian Moya, Shiqi Zhang, Meng Yue, Guang Lin


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Learning to Ground Objects for Robot Task and Motion Planning


Feb 15, 2022
Yan Ding, Xiaohan Zhang, Xingyue Zhan, Shiqi Zhang

* IEEE R-AL, 2022 

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