Yu Shen

Ph.D. student, Computer Science at University of Maryland, College Park

Yu Shen, a Ph.D. student majoring in Computer Science at the University of Maryland. His research interests are AI technologies like computer vision, 3D perception, multi-modality learning, robust learning, etc., in real-world applications like autonomous driving, AR/VR/Metaverse, virtual try-on, etc. Previously, he worked for Tencent, DJI, and Hiscene, and interned at Microsoft, Bytedance, Baidu, Amazon, Adobe. His working experiences mainly focus on vision-based/lidar-based 3D perception, like SLAM, VIO, 3D object/2D image recognition/tracking with 3D pose estimation, etc. His Ph.D. advisor is Prof. Ming C. Lin.

Email: yushen at umd dot edu

Curriculum Vitae

Task-Driven Domain-Agnostic Learning with Information Bottleneck for Autonomous Steering

Yu Shen, Laura Zheng, Tianyi Zhou, and Ming C. Lin

ICRA 2024

[paper][video][slides]

Collaborative Decision-Making Using Spatiotemporal Graphs in Connected Autonomy

Peng Gao, Yu Shen, Ming C. Lin

ICRA 2024

[paper]

Auxiliary Modality Learning with Generalized Curriculum Distillation

Yu Shen, Xijun Wang, Peng Gao, and Ming C. Lin

ICML 2023

[paper]

Small-shot Multi-modal Distillation for Vision-based Autonomous Steering

Yu Shen, Luyu Yang, Xijun Wang, and Ming C. Lin

ICRA 2023

[project page][paper][video][slides][code]

Visual, Spatial, Geometric-Preserved Place Recognition for Cross-View and Cross-Modal Collaborative Perception

Peng Gao, Jing Liang, Yu Shen, Sanghyun Son, Ming C. Lin

IROS 2023 (Best Paper Award)

[paper]

Inverse Reinforcement Learning with Hybrid Weight Tuning and Trust Region Optimization for Autonomous Maneuvering

Yu Shen, Weizi Li, and Ming C. Lin

IROS 2022

[project page][paper][video][slides][code]

Gradient-Free Adversarial Training Against Image Corruption for Learning-based Steering

Yu Shen, Laura Zheng, Manli Shu, Weizi Li, Tom Goldstein, and Ming C. Lin

NIPS 2021

[project page][paper][video][slides][code]

Adversarial Differentiable Data Augmentation for Autonomous Systems

Manli Shu, Yu Shen, Ming C. Lin, and Tom Goldstein

ICRA 2021

[paper]

GAN-based Garment Generation Using Sewing Pattern Images

Yu Shen, Junbang Liang, and Ming C. Lin

ECCV 2020

[project page][paper][video][slides][code]