Tongyi Cao

According to our database1, Tongyi Cao authored at least 18 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Mitigating Covariate Shift in Misspecified Regression with Applications to Reinforcement Learning.
CoRR, 2024

2023
DeepEMplanner: An End-to-End EM Motion Planner with Iterative Interactions.
CoRR, 2023

Bootstrap Motion Forecasting With Self-Consistent Constraints.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SVQNet: Sparse Voxel-Adjacent Query Network for 4D Spatio-Temporal LiDAR Semantic Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
From One to Many: Dynamic Cross Attention Networks for LiDAR and Camera Fusion.
CoRR, 2022

DCMS: Motion Forecasting with Dual Consistency and Multi-Pseudo-Target Supervision.
CoRR, 2022

Efficient Point Cloud Segmentation with Geometry-Aware Sparse Networks.
Proceedings of the Computer Vision - ECCV 2022, 2022

Sparse Cross-Scale Attention Network for Efficient LiDAR Panoptic Segmentation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
DRINet++: Efficient Voxel-as-point Point Cloud Segmentation.
CoRR, 2021

DRINet: A Dual-Representation Iterative Learning Network for Point Cloud Segmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

TPCN: Temporal Point Cloud Networks for Motion Forecasting.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Provably adaptive reinforcement learning in metric spaces.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

HVNet: Hybrid Voxel Network for LiDAR Based 3D Object Detection.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Disagreement-Based Combinatorial Pure Exploration: Sample Complexity Bounds and an Efficient Algorithm.
Proceedings of the Conference on Learning Theory, 2019

2017
Disagreement-based combinatorial pure exploration: Efficient algorithms and an analysis with localization.
CoRR, 2017

Enhancing the Privacy of Predictors.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Cleaning the Null Space: A Privacy Mechanism for Predictors.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2015
An Incremental Local Distribution Network for Unsupervised Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015


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