Cao, Tongyi

13 publications

ICCV 2025 Hints of Prompt: Enhancing Visual Representation for Multimodal LLMs in Autonomous Driving Hao Zhou, Zhanning Gao, Zhili Chen, Maosheng Ye, Qifeng Chen, Tongyi Cao, Honggang Qi

COLT 2024 Mitigating Covariate Shift in Misspecified Regression with Applications to Reinforcement Learning Philip Amortila, Tongyi Cao, Akshay Krishnamurthy

ECCV 2024 PPAD: Iterative Interactions of Prediction and Planning for End-to-End Autonomous Driving Zhili Chen, Maosheng Ye, Shuangjie Xu, Tongyi Cao, Qifeng Chen

ICCV 2023 Bootstrap Motion Forecasting with Self-Consistent Constraints Maosheng Ye, Jiamiao Xu, Xunnong Xu, Tengfei Wang, Tongyi Cao, Qifeng Chen

ICCV 2023 SVQNet: Sparse Voxel-Adjacent Query Network for 4D Spatio-Temporal LiDAR Semantic Segmentation Xuechao Chen, Shuangjie Xu, Xiaoyi Zou, Tongyi Cao, Dit-Yan Yeung, Lu Fang

ECCV 2022 Efficient Point Cloud Segmentation with Geometry-Aware Sparse Networks Maosheng Ye, Rui Wan, Shuangjie Xu, Tongyi Cao, Qifeng Chen

AAAI 2022 Sparse Cross-Scale Attention Network for Efficient LiDAR Panoptic Segmentation Shuangjie Xu, Rui Wan, Maosheng Ye, Xiaoyi Zou, Tongyi Cao

ICCV 2021 DRINet: A Dual-Representation Iterative Learning Network for Point Cloud Segmentation Maosheng Ye, Shuangjie Xu, Tongyi Cao, Qifeng Chen

CVPR 2021 TPCN: Temporal Point Cloud Networks for Motion Forecasting Maosheng Ye, Tongyi Cao, Qifeng Chen

NeurIPS 2020 Provably Adaptive Reinforcement Learning in Metric Spaces Tongyi Cao, Akshay Krishnamurthy

COLT 2019 Disagreement-Based Combinatorial Pure Exploration: Sample Complexity Bounds and an Efficient Algorithm Tongyi Cao, Akshay Krishnamurthy

AAAI 2017 Cleaning the Null Space: A Privacy Mechanism for Predictors Ke Xu, Tongyi Cao, Swair Shah, Crystal Maung, Haim Schweitzer

AAAI 2017 Enhancing the Privacy of Predictors Ke Xu, Swair Shah, Tongyi Cao, Crystal Maung, Haim Schweitzer