Tingrui Zhang
This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.
Bibliography
2026
Multi-modal prompt learning for facial expression recognition: Leveraging emojis and large language models.
Inf. Fusion, 2026
Automated pothole detection and volume assessment using PointPSSN and smartphone LiDAR point clouds.
Expert Syst. Appl., 2026
2025
FFTrainer: Fast Failover in Large-Language Model Training with Almost-Free State Management.
CoRR, December, 2025
CoRR, July, 2025
CT Radiomics-Based Explainable Machine Learning Model for Accurate Differentiation of Malignant and Benign Endometrial Tumors: A Two-Center Study.
CoRR, June, 2025
A Decoupled Contrastive Learning Framework for Backdoor Defense in Federated Learning.
Symmetry, 2025
Federated learning with heterogeneous data and models based on global decision boundary distillation.
J. King Saud Univ. Comput. Inf. Sci., 2025
FedWM-IoV: A Watermarking-Based Defense Method Against Federated Learning Model Poisoning Attacks in IoV.
Proceedings of the 102nd IEEE Vehicular Technology Conference, 2025
Joint Beam Steering and Nulling Angle Perturbation for Tx-Rx Isolation Enhancement in FD mMIMO.
Proceedings of the IEEE International Mediterranean Conference on Communications and Networking, 2025
Automatic Generation of Aerobatic Flight in Complex Environments via Diffusion Models.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025
2024
Implicit Swept Volume SDF: Enabling Continuous Collision-Free Trajectory Generation for Arbitrary Shapes.
ACM Trans. Graph., July, 2024
Proceedings of the IGARSS 2024, 2024
2023
IEEE Trans. Robotics, December, 2023
IROS, 2023
2022
CoRR, 2022
Proceedings of the Natural Language Processing and Chinese Computing, 2022
Proceedings of the 2022 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2022
2020
Semi-Supervised Learning Based on Hybrid Neural Network for the Signal Integrity Analysis.
IEEE Trans. Circuits Syst. II Express Briefs, 2020
2019
A Fast Signal Integrity Design Model of Printed Circuit Board based on Monte-Carlo Tree.
Proceedings of the 13th IEEE International Conference on ASIC, 2019
A Data-Efficient Training Model for Signal Integrity Analysis based on Transfer Learning.
Proceedings of the 2019 IEEE Asia Pacific Conference on Circuits and Systems, 2019