Tongyi Cao
12 papers · 2019–2025 · 6 venues · across top CS/AI venues
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (22)
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Research topics
Computer Vision
(7)
Analysis
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Domain-Specific
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Machine Learning
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Artificial Intelligence
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Deep Learning
(3)
Core AI
(3)
Optimization & Theory
(3)
Processing
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Mathematics & Optimization
(1)
Reinforcement Learning
(1)
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Keywords
autonomous driving
(3)
point cloud
(3)
neural network
(2)
trajectory prediction
(2)
motion forecasting
(2)
feature extraction
(1)
domain adaptation
(1)
robust optimization
(1)
temporal learning
(1)
temporal modeling
(1)
sample complexity
(1)
empirical risk minimization
(1)
3d vision
(1)
visual representation
(1)
prompt learning
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model misspecification
(1)
covariate shift
(1)
distribution shift
(1)
offline reinforcement learning
(1)
semantic segmentation
(1)
Papers
Hints of Prompt: Enhancing Visual Representation for Multimodal LLMs in Autonomous Driving
ICCV 2025
Mitigating Covariate Shift in Misspecified Regression with Applications to Reinforcement Learning
COLT 2024
PPAD: Iterative Interactions of Prediction and Planning for End-to-end Autonomous Driving
ECCV 2024
Bootstrap Motion Forecasting With Self-Consistent Constraints
ICCV 2023
SVQNet: Sparse Voxel-Adjacent Query Network for 4D Spatio-Temporal LiDAR Semantic Segmentation
ICCV 2023
Efficient Point Cloud Segmentation with Geometry-Aware Sparse Networks
ECCV 2022
Sparse Cross-Scale Attention Network for Efficient LiDAR Panoptic Segmentation
AAAI 2022
DRINet: A Dual-Representation Iterative Learning Network for Point Cloud Segmentation
ICCV 2021
TPCN: Temporal Point Cloud Networks for Motion Forecasting
CVPR 2021
HVNet: Hybrid Voxel Network for LiDAR Based 3D Object Detection
CVPR 2020
Provably adaptive reinforcement learning in metric spaces
NeurIPS 2020
Disagreement-Based Combinatorial Pure Exploration: Sample Complexity Bounds and an Efficient Algorithm
COLT 2019