Tongyi Cao
12 papers · 2019–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Conference Polyglot (6) π Academic Marathon (6) π§ Keyword Pioneer π£ Hot Topic Early Bird
π
Renaissance Researcher
(5)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(19)
π₯
Unstoppable
(7)
π
Century Club
(12)
Conferences
ICCV (4)
COLT (2)
CVPR (2)
ECCV (2)
AAAI (1)
NIPS (1)
Top co-authors
Keywords
point cloud
(3)
autonomous driving
(3)
neural network
(2)
trajectory prediction
(2)
motion forecasting
(2)
feature extraction
(1)
domain adaptation
(1)
robust optimization
(1)
3d object detection
(1)
temporal modeling
(1)
temporal learning
(1)
3d vision
(1)
visual representation
(1)
prompt learning
(1)
distribution shift
(1)
covariate shift
(1)
sample complexity
(1)
online reinforcement learning
(1)
offline reinforcement learning
(1)
semantic segmentation
(1)
Papers
Hints of Prompt: Enhancing Visual Representation for Multimodal LLMs in Autonomous Driving
ICCV 2025
PPAD: Iterative Interactions of Prediction and Planning for End-to-end Autonomous Driving
ECCV 2024
Mitigating Covariate Shift in Misspecified Regression with Applications to Reinforcement Learning
COLT 2024
SVQNet: Sparse Voxel-Adjacent Query Network for 4D Spatio-Temporal LiDAR Semantic Segmentation
ICCV 2023
Bootstrap Motion Forecasting With Self-Consistent Constraints
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
Provably adaptive reinforcement learning in metric spaces
NIPS 2020
HVNet: Hybrid Voxel Network for LiDAR Based 3D Object Detection
CVPR 2020
Disagreement-Based Combinatorial Pure Exploration: Sample Complexity Bounds and an Efficient Algorithm
COLT 2019