Yifan Zhang

Orcid: 0000-0001-8882-4327

Affiliations:
  • City University of Hong Kong, Hong Kong, SAR, China


According to our database1, Yifan Zhang authored at least 29 papers between 2019 and 2026.

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Bibliography

2026
Is Contrastive Distillation Enough for Learning Comprehensive 3D Representations?
Int. J. Comput. Vis., June, 2026

Mode-as-Sequence: Translating Multimodal Motion Prediction into Unified Sequential Mode Modeling.
CoRR, May, 2026

Reflectance Prediction-Based Knowledge Distillation for Robust 3D Object Detection in Compressed Point Clouds.
IEEE Trans. Image Process., 2026

ICSFuzz: Collision Detector Bug Discovery in Autonomous Driving Simulators.
IEEE Trans. Dependable Secur. Comput., 2026

Feature-Aligned Cell Detection for Heterogeneous Microscopic Images With Focal Attenuated Distance Transform.
IEEE Trans Autom. Sci. Eng., 2026

2025
Self-Supervised Learning of LiDAR 3D Point Clouds via 2D-3D Neural Calibration.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2025

Unsupervised Online 3D Instance Segmentation with Synthetic Sequences and Dynamic Loss.
CoRR, September, 2025

Optimizing Multi-Modal Trackers via Sensitivity-aware Regularized Tuning.
CoRR, August, 2025

Boosting 3D Object Detection With Semantic-Aware Multi-Branch Framework.
IEEE Trans. Circuits Syst. Video Technol., June, 2025

2024
Spatial-Temporal Graph Enhanced DETR Towards Multi-Frame 3D Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

A Comprehensive Study of the Robustness for LiDAR-Based 3D Object Detectors Against Adversarial Attacks.
Int. J. Comput. Vis., May, 2024

TOFG: Temporal Occupancy Flow Graph for Prediction and Planning in Autonomous Driving.
IEEE Trans. Intell. Veh., January, 2024

Self-supervised Learning of LiDAR 3D Point Clouds via 2D-3D Neural Calibration.
CoRR, 2024

Fine-grained Image-to-LiDAR Contrastive Distillation with Visual Foundation Models.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Segment Any Event Streams via Weighted Adaptation of Pivotal Tokens.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation.
Int. J. Comput. Vis., December, 2023

A Learning-Based Discretionary Lane-Change Decision-Making Model With Driving Style Awareness.
IEEE Trans. Intell. Transp. Syst., January, 2023

Segment Any Events via Weighted Adaptation of Pivotal Tokens.
CoRR, 2023

Spatial-Temporal Enhanced Transformer Towards Multi-Frame 3D Object Detection.
CoRR, 2023

Bidirectional Propagation for Cross-Modal 3D Object Detection.
CoRR, 2023

Empirical Study and Signal Intensity Prediction for Cellular Vehicle-to-Everything (C-V2X).
Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

Unleash the Potential of Image Branch for Cross-modal 3D Object Detection.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

TOFG: A Unified and Fine-Grained Environment Representation in Autonomous Driving.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
Integrating Algorithmic Sampling-Based Motion Planning with Learning in Autonomous Driving.
ACM Trans. Intell. Syst. Technol., 2022

A Comprehensive Study and Comparison of the Robustness of 3D Object Detectors Against Adversarial Attacks.
CoRR, 2022

2021
Detecting and Identifying Optical Signal Attacks on Autonomous Driving Systems.
IEEE Internet Things J., 2021

A Generative Car-following Model Conditioned On Driving Styles.
CoRR, 2021

2020
A Novel Learning Framework for Sampling-Based Motion Planning in Autonomous Driving.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Evaluating and Boosting Reinforcement Learning for Intra-Domain Routing.
Proceedings of the 16th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2019


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