Xiangbo Gao

According to our database, Xiangbo Gao authored at least 17 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

FORGE-Tree: Diffusion-Forcing Tree Search for Long-Horizon Robot Manipulation.

Yanjia Huang, Shuo Liu, Sheng Liu, Qingxiao Xu, Mingyang Wu, Xiangbo Gao, Zhengzhong Tu

CoRR, October, 2025

Background Fades, Foreground Leads: Curriculum-Guided Background Pruning for Efficient Foreground-Centric Collaborative Perception.

Yuheng Wu, Xiangbo Gao, Quang Tau, Zhengzhong Tu, Dongman Lee

CoRR, October, 2025

SafeCoop: Unravelling Full Stack Safety in Agentic Collaborative Driving.

Xiangbo Gao, Tzu-Hsiang Lin, Ruojing Song, Yuheng Wu, Kuan-Ru Huang, Zicheng Jin, Fangzhou Lin, Shinan Liu, Zhengzhong Tu

CoRR, October, 2025

Automated Vehicles Should be Connected with Natural Language.

Xiangbo Gao, Keshu Wu, Hao Zhang, Kexin Tian, Yang Zhou, Zhengzhong Tu

CoRR, July, 2025

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration.

Xiangbo Gao, Yuheng Wu, Xuewen Luo, Keshu Wu, Xinghao Chen, Yuping Wang, Chenxi Liu, Yang Zhou, Zhengzhong Tu

CoRR, June, 2025

DRAMA-X: A Fine-grained Intent Prediction and Risk Reasoning Benchmark For Driving.

Mihir Godbole, Xiangbo Gao, Zhengzhong Tu

CoRR, June, 2025

V2X-UniPool: Unifying Multimodal Perception and Knowledge Reasoning for Autonomous Driving.

Xuewen Luo, Fengze Yang, Fan Ding, Xiangbo Gao, Shuo Xing, Yang Zhou, Zhengzhong Tu, Chenxi Liu

CoRR, June, 2025

Simulating the Unseen: Crash Prediction Must Learn from What Did Not Happen.

Zihao Li, Xinyuan Cao, Xiangbo Gao, Kexin Tian, Keshu Wu, Mohammad Anis, Hao Zhang, Keke Long, Jiwan Jiang, Xiaopeng Li, Yunlong Zhang, Tianbao Yang, Dominique Lord, Zhengzhong Tu, Yang Zhou

CoRR, May, 2025

Generative AI for Autonomous Driving: Frontiers and Opportunities.

Yuping Wang, Shuo Xing, Cui Can, Renjie Li, Hongyuan Hua, Kexin Tian, Zhaobin Mo, Xiangbo Gao, Keshu Wu, Sulong Zhou, Hengxu You, Juntong Peng, Junge Zhang, Zehao Wang, Rui Song, Mingxuan Yan, Walter Zimmer, Xingcheng Zhou, Peiran Li, Zhaohan Lu, Chia-Ju Chen, Yue Huang, Ryan A. Rossi, Lichao Sun, Hongkai Yu, Zhiwen Fan, Hao (Frank) Yang, Yuhao Kang, Ross Greer, Chenxi Liu, Eun Hak Lee, Xuan Di, Xinyue Ye, Liu Ren, Alois Knoll, Xiaopeng Li, Shuiwang Ji, Masayoshi Tomizuka, Marco Pavone, Laurence Tianruo Yang, Jing Du, Ming-Hsuan Yang, Hua Wei, Ziran Wang, Yang Zhou, Jiachen Li, Zhengzhong Tu

CoRR, May, 2025

CoCMT: Communication-Efficient Cross-Modal Transformer for Collaborative Perception.

Rujia Wang, Xiangbo Gao, Hao Xiang, Runsheng Xu, Zhengzhong Tu

CoRR, March, 2025

AutoTrust: Benchmarking Trustworthiness in Large Vision Language Models for Autonomous Driving.

Shuo Xing, Hongyuan Hua, Xiangbo Gao, Shenzhe Zhu, Renjie Li, Kexin Tian, Xiaopeng Li, Heng Huang, Tianbao Yang, Zhangyang Wang, Yang Zhou, Huaxiu Yao, Zhengzhong Tu

Trans. Mach. Learn. Res., 2025

STAMP: Scalable Task- And Model-agnostic Collaborative Perception.

Xiangbo Gao, Runsheng Xu, Jiachen Li, Ziran Wang, Zhiwen Fan, Zhengzhong Tu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

LangCoop: Collaborative Driving with Language.

Xiangbo Gao, Yuheng Wu, Rujia Wang, Chenxi Liu, Yang Zhou, Zhengzhong Tu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024

MambaST: A Plug-and-Play Cross-Spectral Spatial-Temporal Fuser for Efficient Pedestrian Detection.

Xiangbo Gao, Asiegbu Miracle Kanu-Asiegbu, Xiaoxiao Du

Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

Scale-Free And Task-Generic Attack: Generating Photo-Realistic Adversarial Patterns With Patch Quilting Generator.

Xiangbo Gao, Qinliang Lin, Cheng Luo, Weicheng Xie, Linlin Shen, Keerthy Kusumam, Siyang Song

Proceedings of the IEEE International Conference on Acoustics, 2024

2022

Scale-free Photo-realistic Adversarial Pattern Attack.

Xiangbo Gao, Weicheng Xie, Minmin Liu, Cheng Luo, Qinliang Lin, Linlin Shen, Keerthy Kusumam, Siyang Song

CoRR, 2022

Sample Hardness Based Gradient Loss for Long-Tailed Cervical Cell Detection.

Minmin Liu, Xuechen Li, Xiangbo Gao, Junliang Chen, Linlin Shen, Huisi Wu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022