在反卷积网络中引入数值解可视化卷积神经网络 (Introduce Numerical Solution to Visualize Convolutional Neuron Networks Based on Numerical Solution). - Haibao Yu; Qi Shen; Guocan Feng (计算机科学, 2017)

GDRQ: Group-based Distribution Reshaping for Quantization. - Haibao Yu; Tuopu Wen; Guangliang Cheng; Jiankai Sun; Qi Han; Jianping Shi (CoRR, 2019)

Low-bit Quantization Needs Good Distribution. - Haibao Yu; Tuopu Wen; Guangliang Cheng; Jiankai Sun; Qi Han; Jianping Shi (CVPR Workshops, 2020)

Search What You Want: Barrier Panelty NAS for Mixed Precision Quantization. - Haibao Yu; Qi Han; Jianbo Li; Jianping Shi; Guangliang Cheng; Bin Fan (ECCV (9), 2020)

BISWSRBS: A Winograd-based CNN Accelerator with a Fine-grained Regular Sparsity Pattern and Mixed Precision Quantization. - Tao Yang 031; Zhezhi He; Tengchuan Kou; Qingzheng Li; Qi Han; Haibao Yu; Fangxin Liu; Yun Liang 001; Li Jiang 002 (ACM Trans. Reconfigurable Technol. Syst., 2021)

DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection. - Haibao Yu; Yizhen Luo; Mao Shu; Yiyi Huo; Zebang Yang; Yifeng Shi; Zhenglong Guo; Hanyu Li; Xing Hu; Jirui Yuan; Zaiqing Nie (CVPR, 2022)

V2X-Seq: A Large-Scale Sequential Dataset for Vehicle-Infrastructure Cooperative Perception and Forecasting. - Haibao Yu; Wenxian Yang; Hongzhi Ruan; Zhenwei Yang; Yingjuan Tang; Xu Gao; Xin Hao; Yifeng Shi; Yifeng Pan; Ning Sun; Juan Song; Jirui Yuan; et al. (CVPR, 2023)

Flow-Based Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object Detection. - Haibao Yu; Yingjuan Tang; Enze Xie; Jilei Mao; Ping Luo 002; Zaiqing Nie (NeurIPS, 2023)

Vehicle-Infrastructure Cooperative 3D Object Detection via Feature Flow Prediction. - Haibao Yu; Yingjuan Tang; Enze Xie; Jilei Mao; Jirui Yuan; Ping Luo 002; Zaiqing Nie (CoRR, 2023)

QUEST: Query Stream for Vehicle-Infrastructure Cooperative Perception. - Siqi Fan 002; Haibao Yu; Wenxian Yang; Jirui Yuan; Zaiqing Nie (CoRR, 2023)

Learning Cooperative Trajectory Representations for Motion Forecasting. - Hongzhi Ruan; Haibao Yu; Wenxian Yang; Siqi Fan 002; Yingjuan Tang; Zaiqing Nie (CoRR, 2023)

RCooper: A Real-world Large-scale Dataset for Roadside Cooperative Perception. - Ruiyang Hao; Siqi Fan 002; Yingru Dai; Zhenlin Zhang; Chenxi Li; Yuntian Wang; Haibao Yu; Wenxian Yang; Jirui Yuan; Zaiqing Nie (CVPR, 2024)

MEDCO: Medical Education Copilots Based on a Multi-agent Framework. - Hao Wei; Jianing Qiu; Haibao Yu; Wu Yuan 001 (ECCV Workshops (8), 2024)

RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis. - Yao Mu 001; Junting Chen; Qinglong Zhang; Shoufa Chen; Qiaojun Yu; Chongjian Ge; Runjian Chen; Zhixuan Liang; Mengkang Hu; Chaofan Tao; Peize Sun; Haibao Yu; et al. (ICML, 2024)

QUEST: Query Stream for Practical Cooperative Perception. - Siqi Fan 002; Haibao Yu; Wenxian Yang; Jirui Yuan; Zaiqing Nie (ICRA, 2024)

Leveraging Temporal Contexts to Enhance Vehicle-Infrastructure Cooperative Perception. - Jiaru Zhong; Haibao Yu; Tianyi Zhu; Jiahui Xu; Wenxian Yang; Zaiqing Nie; Chao Sun (ITSC, 2024)

Learning Cooperative Trajectory Representations for Motion Forecasting. - Hongzhi Ruan; Haibao Yu; Wenxian Yang; Siqi Fan 002; Zaiqing Nie (NeurIPS, 2024)

End-to-End Autonomous Driving Through V2X Cooperation. - Haibao Yu; Wenxian Yang; Jiaru Zhong; Zhenwei Yang; Siqi Fan 002; Ping Luo 002; Zaiqing Nie (AAAI, 2025)

AI Hiring with LLMs: A Context-Aware and Explainable Multi-Agent Framework for Resume Screening. - Frank P.-W. Lo; Jianing Qiu; Zeyu Wang; Haibao Yu; Yeming Chen; Gao Zhang; Benny Lo (CVPR Workshops, 2025)

Griffin: Aerial-Ground Cooperative Detection and Tracking Dataset and Benchmark. - Jiahao Wang; Xiangyu Cao; Jiaru Zhong; Yuner Zhang; Haibao Yu; Lei He; Shaobing Xu (CoRR, 2025)

Benchmarking Generalizable Bimanual Manipulation: RoboTwin Dual-Arm Collaboration Challenge at CVPR 2025 MEIS Workshop. - Tianxing Chen; Kaixuan Wang; Zhaohui Yang; Yuhao Zhang; Zanxin Chen; Baijun Chen; Wanxi Dong; Ziyuan Liu; Dong Chen 003; Tianshuo Yang; Haibao Yu; Xiaokang Yang 001; et al. (CoRR, 2025)

StyleDrive: Towards Driving-Style Aware Benchmarking of End-To-End Autonomous Driving. - Ruiyang Hao; Bowen Jing 001; Haibao Yu; Zaiqing Nie (CoRR, 2025)

U-ViLAR: Uncertainty-Aware Visual Localization for Autonomous Driving via Differentiable Association and Registration. - Xiaofan Li; Zhihao Xu; Chenming Wu; Zhao Yang; Yumeng Zhang; Jiang-Jiang Liu 001; Haibao Yu; Fan Duan; Xiaoqing Ye; Yuan Wang; Shirui Li; Xun Sun; et al. (CoRR, 2025)

CoopTrack: Exploring End-to-End Learning for Efficient Cooperative Sequential Perception. - Jiaru Zhong; Jiahao Wang; Jiahui Xu; Xiaofan Li; Zaiqing Nie; Haibao Yu (CoRR, 2025)

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition. - Ruiyang Hao; Haibao Yu; Jiaru Zhong; Chuanye Wang; Jiahao Wang; Yiming Kan; Wenxian Yang; Siqi Fan 002; Huilin Yin; Jianing Qiu; Yao Mu 001; Jiankai Sun; et al. (CoRR, 2025)

LiDAR-Based End-to-End Temporal Perception for Vehicle-Infrastructure Cooperation. - Zhenwei Yang; Jilei Mao; Wenxian Yang; Yibo Ai; Yu Kong; Haibao Yu; Weidong Zhang 009 (IEEE Internet Things J., 2025)