Evaluating and Boosting Reinforcement Learning for Intra-Domain Routing. - Qian Xu 010; Yifan Zhang 036; Kui Wu 001; Jianping Wang 001; Kejie Lu (MASS, 2019)

A Novel Learning Framework for Sampling-Based Motion Planning in Autonomous Driving. - Yifan Zhang 036; Jinghuai Zhang; Jindi Zhang; Jianping Wang 001; Kejie Lu; L. Jeff Hong (AAAI, 2020)

A Generative Car-following Model Conditioned On Driving Styles. - Yifan Zhang 036; Xinhong Chen 003; Jianping Wang 001; Zuduo Zheng; Kui Wu 001 (CoRR, 2021)

Detecting and Identifying Optical Signal Attacks on Autonomous Driving Systems. - Jindi Zhang; Yifan Zhang 036; Kejie Lu; Jianping Wang 001; Kui Wu 001; Xiaohua Jia; Bin Liu 001 (IEEE Internet Things J., 2021)

A Comprehensive Study and Comparison of the Robustness of 3D Object Detectors Against Adversarial Attacks. - Yifan Zhang 036; Junhui Hou; Yixuan Yuan (CoRR, 2022)

Integrating Algorithmic Sampling-Based Motion Planning with Learning in Autonomous Driving. - Yifan Zhang 036; Jinghuai Zhang; Jindi Zhang; Jianping Wang 001; Kejie Lu; L. Jeff Hong (ACM Trans. Intell. Syst. Technol., 2022)

TOFG: A Unified and Fine-Grained Environment Representation in Autonomous Driving. - Zihao Wen; Yifan Zhang 036; Xinhong Chen 003; Jianping Wang 001 (ICRA, 2023)

Unleash the Potential of Image Branch for Cross-modal 3D Object Detection. - Yifan Zhang 036; Qijian Zhang; Junhui Hou; Yixuan Yuan; Guoliang Xing (NeurIPS, 2023)

Empirical Study and Signal Intensity Prediction for Cellular Vehicle-to-Everything (C-V2X). - Yang Lu; Yifan Zhang 036; Tuo Shi; Jianping Wang 001; Jen-Ming Wu; Bingyi Liu (VTC Fall, 2023)

Bidirectional Propagation for Cross-Modal 3D Object Detection. - Yifan Zhang 036; Qijian Zhang; Junhui Hou; Yixuan Yuan; Guoliang Xing (CoRR, 2023)

Spatial-Temporal Enhanced Transformer Towards Multi-Frame 3D Object Detection. - Yifan Zhang 036; Zhiyu Zhu; Junhui Hou (CoRR, 2023)

Segment Any Events via Weighted Adaptation of Pivotal Tokens. - Zhiwen Chen 002; Zhiyu Zhu; Yifan Zhang 036; Junhui Hou; Guangming Shi; Jinjian Wu (CoRR, 2023)

A Learning-Based Discretionary Lane-Change Decision-Making Model With Driving Style Awareness. - Yifan Zhang 036; Qian Xu 010; Jianping Wang 001; Kui Wu 001; Zuduo Zheng; Kejie Lu (IEEE Trans. Intell. Transp. Syst., 2023)

GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation. - Yifan Zhang 036; Qijian Zhang; Zhiyu Zhu; Junhui Hou; Yixuan Yuan (Int. J. Comput. Vis., 2023)

Segment Any Event Streams via Weighted Adaptation of Pivotal Tokens. - Zhiwen Chen 002; Zhiyu Zhu; Yifan Zhang 036; Junhui Hou; Guangming Shi; Jinjian Wu (CVPR, 2024)

Fine-grained Image-to-LiDAR Contrastive Distillation with Visual Foundation Models. - Yifan Zhang 036; Junhui Hou (NeurIPS, 2024)

Self-supervised Learning of LiDAR 3D Point Clouds via 2D-3D Neural Calibration. - Yifan Zhang 036; Siyu Ren; Junhui Hou; Jinjian Wu; Guangming Shi (CoRR, 2024)

TOFG: Temporal Occupancy Flow Graph for Prediction and Planning in Autonomous Driving. - Zihao Wen; Yifan Zhang 036; Xinhong Chen 003; Jianping Wang 001; Yung-Hui Li; Yu-Kai Huang 001 (IEEE Trans. Intell. Veh., 2024)

A Comprehensive Study of the Robustness for LiDAR-Based 3D Object Detectors Against Adversarial Attacks. - Yifan Zhang 036; Junhui Hou; Yixuan Yuan (Int. J. Comput. Vis., 2024)

Spatial-Temporal Graph Enhanced DETR Towards Multi-Frame 3D Object Detection. - Yifan Zhang 036; Zhiyu Zhu; Junhui Hou; Dapeng Wu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Boosting 3D Object Detection With Semantic-Aware Multi-Branch Framework. - Hao Jing; Anhong Wang; Lijun Zhao 002; Yakun Yang; Donghan Bu; Jing Zhang; Yifan Zhang 036; Junhui Hou (IEEE Trans. Circuits Syst. Video Technol., 2025)

Optimizing Multi-Modal Trackers via Sensitivity-aware Regularized Tuning. - Zhiwen Chen 002; Jinjian Wu; Zhiyu Zhu; Yifan Zhang 036; Guangming Shi; Junhui Hou (CoRR, 2025)

Unsupervised Online 3D Instance Segmentation with Synthetic Sequences and Dynamic Loss. - Yifan Zhang 036; Wei Zhang 184; Chuangxin He; Zhonghua Miao; Junhui Hou (CoRR, 2025)

Self-Supervised Learning of LiDAR 3D Point Clouds via 2D-3D Neural Calibration. - Yifan Zhang 036; Junhui Hou; Siyu Ren; Jinjian Wu; Yixuan Yuan; Guangming Shi (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Feature-Aligned Cell Detection for Heterogeneous Microscopic Images With Focal Attenuated Distance Transform. - Rui Liu 033; Cong Wu; Yifan Zhang 036; Haiying Song; Fei Yuan 016; Wei Dai; Wen Jung Li; Jun Liu 007 (IEEE Trans Autom. Sci. Eng., 2026)

ICSFuzz: Collision Detector Bug Discovery in Autonomous Driving Simulators. - Weiwei Fu; Heqing Huang 002; Yifan Zhang 036; Ke Zhang 039; Jin Huang 002; Wei-Bin Lee; Jianping Wang 001 (IEEE Trans. Dependable Secur. Comput., 2026)

Reflectance Prediction-Based Knowledge Distillation for Robust 3D Object Detection in Compressed Point Clouds. - Hao Jing; Anhong Wang; Yifan Zhang 036; Donghan Bu; Junhui Hou (IEEE Trans. Image Process., 2026)

Mode-as-Sequence: Translating Multimodal Motion Prediction into Unified Sequential Mode Modeling. - Zikang Zhou; Haibo Hu; Xinhong Chen 003; Yifan Zhang 036; Nan Guan; Yung-Hui Li; Chun Jason Xue; Jianping Wang 001 (CoRR, 2026)

Is Contrastive Distillation Enough for Learning Comprehensive 3D Representations? - Yifan Zhang 036; Junhui Hou (Int. J. Comput. Vis., 2026)