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Xiangbo Gao
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2020 – today
- 2025
[c5]Xiangbo Gao, Yuheng Wu, Rujia Wang, Chenxi Liu, Yang Zhou, Zhengzhong Tu:
LangCoop: Collaborative Driving with Language. CVPR Workshops 2025: 4226-4237
[c4]Xiangbo Gao, Runsheng Xu, Jiachen Li, Ziran Wang, Zhiwen Fan, Zhengzhong Tu:
STAMP: Scalable Task- And Model-agnostic Collaborative Perception. ICLR 2025
[i13]Xiangbo Gao, Runsheng Xu, Jiachen Li, Ziran Wang, Zhiwen Fan, Zhengzhong Tu:
STAMP: Scalable Task And Model-agnostic Collaborative Perception. CoRR abs/2501.18616 (2025)
[i12]Rujia Wang, Xiangbo Gao, Hao Xiang, Runsheng Xu, Zhengzhong Tu:
CoCMT: Communication-Efficient Cross-Modal Transformer for Collaborative Perception. CoRR abs/2503.13504 (2025)
[i11]Xiangbo Gao, Yuheng Wu, Rujia Wang, Chenxi Liu, Yang Zhou, Zhengzhong Tu:
LangCoop: Collaborative Driving with Language. CoRR abs/2504.13406 (2025)
[i10]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:
Generative AI for Autonomous Driving: Frontiers and Opportunities. CoRR abs/2505.08854 (2025)
[i9]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:
Simulating the Unseen: Crash Prediction Must Learn from What Did Not Happen. CoRR abs/2505.21743 (2025)
[i8]Xuewen Luo, Fengze Yang, Fan Ding, Xiangbo Gao, Shuo Xing, Yang Zhou, Zhengzhong Tu, Chenxi Liu:
V2X-UniPool: Unifying Multimodal Perception and Knowledge Reasoning for Autonomous Driving. CoRR abs/2506.02580 (2025)
[i7]Mihir Godbole, Xiangbo Gao, Zhengzhong Tu:
DRAMA-X: A Fine-grained Intent Prediction and Risk Reasoning Benchmark For Driving. CoRR abs/2506.17590 (2025)
[i6]Xiangbo Gao, Yuheng Wu, Xuewen Luo, Keshu Wu, Xinghao Chen, Yuping Wang, Chenxi Liu, Yang Zhou, Zhengzhong Tu:
AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration. CoRR abs/2506.19283 (2025)
[i5]Xiangbo Gao, Keshu Wu, Hao Zhang, Kexin Tian, Yang Zhou, Zhengzhong Tu:
Automated Vehicles Should be Connected with Natural Language. CoRR abs/2507.01059 (2025)- 2024
[c3]Xiangbo Gao, Qinliang Lin, Cheng Luo, Weicheng Xie, Linlin Shen, Keerthy Kusumam, Siyang Song:
Scale-Free And Task-Generic Attack: Generating Photo-Realistic Adversarial Patterns With Patch Quilting Generator. ICASSP 2024: 2985-2989
[c2]Xiangbo Gao, Asiegbu Miracle Kanu-Asiegbu, Xiaoxiao Du:
MambaST: A Plug-and-Play Cross-Spectral Spatial-Temporal Fuser for Efficient Pedestrian Detection. ITSC 2024: 2027-2034
[i4]Xiangbo Gao, Asiegbu Miracle Kanu-Asiegbu, Xiaoxiao Du:
MambaST: A Plug-and-Play Cross-Spectral Spatial-Temporal Fuser for Efficient Pedestrian Detection. CoRR abs/2408.01037 (2024)
[i3]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:
AutoTrust: Benchmarking Trustworthiness in Large Vision Language Models for Autonomous Driving. CoRR abs/2412.15206 (2024)- 2022
[c1]Minmin Liu, Xuechen Li, Xiangbo Gao, Junliang Chen, Linlin Shen, Huisi Wu:
Sample Hardness Based Gradient Loss for Long-Tailed Cervical Cell Detection. MICCAI (2) 2022: 109-119
[i2]Minmin Liu, Xuechen Li, Xiangbo Gao, Junliang Chen, Linlin Shen, Huisi Wu:
Sample hardness based gradient loss for long-tailed cervical cell detection. CoRR abs/2208.03779 (2022)
[i1]Xiangbo Gao, Weicheng Xie, Minmin Liu, Cheng Luo, Qinliang Lin, Linlin Shen, Keerthy Kusumam, Siyang Song:
Scale-free Photo-realistic Adversarial Pattern Attack. CoRR abs/2208.06222 (2022)
Coauthor Index

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last updated on 2025-11-06 00:30 CET by the dblp team
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