Yucheng Shi
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
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Bibliography
2025
Universal Closed-Box Adversarial Attack for Trajectory Representation via Controlling High-Dimensional Iterative Constraints.
IEEE Internet Things J., August, 2025
CoRR, July, 2025
CoRR, July, 2025
MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment.
CoRR, July, 2025
CoRR, June, 2025
CoRR, June, 2025
A comprehensive survey of physical adversarial vulnerabilities in autonomous driving systems.
Frontiers Inf. Technol. Electron. Eng., April, 2025
Correctness Learning: Deductive Verification Guided Learning for Human-AI Collaboration.
CoRR, March, 2025
CoRR, February, 2025
PointFormer: Keypoint-Guided Transformer for Simultaneous Nuclei Segmentation and Classification in Multi-Tissue Histology Images.
IEEE Trans. Image Process., 2025
SimCMC: A Simple Compact Multiview Contrastive Framework for Self-Supervised Early Alzheimer's Disease Diagnosis.
IEEE Trans. Instrum. Meas., 2025
Multi-scale hybrid Mamba-LSTM experts for long-short term human trajectory prediction under CVAE framework.
Neurocomputing, 2025
Bridging modal gaps: A Cross-Modal Feature Complementation and Feature Projection Network for visible-infrared person re-identification.
Neurocomputing, 2025
Biomed. Signal Process. Control., 2025
Traffic scene perception via multimodal large language model with data augmentation and efficient training strategy.
Appl. Soft Comput., 2025
Appl. Soft Comput., 2025
Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025
MQuAKE-Remastered: Multi-Hop Knowledge Editing Can Only Be Advanced with Reliable Evaluations.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Drama: Mamba-Enabled Model-Based Reinforcement Learning Is Sample and Parameter Efficient.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Enhancing Cognition and Explainability of Multimodal Foundation Models with Self-Synthesized Data.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Topology-Aware Discriminative Graph Convolutional Network for Skeleton-Based Action Recognition.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025
Language Ranker: A Metric for Quantifying LLM Performance Across High and Low-Resource Languages.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
Leveraging Large Language Models with Chain-of-Thought and Prompt Engineering for Traffic Crash Severity Analysis and Inference.
Comput., September, 2024
Cascade & allocate: A cross-structure adversarial attack against models fusing vision and language.
Inf. Fusion, April, 2024
Pseudo-label refinement via hierarchical contrastive learning for source-free unsupervised domain adaptation.
Pattern Recognit. Lett., 2024
Self-support matching networks with multiscale attention for few-shot semantic segmentation.
Neurocomputing, 2024
Comput. Vis. Image Underst., 2024
CoRR, 2024
CoRR, 2024
CoRR, 2024
CoRR, 2024
Retrieval-Enhanced Knowledge Editing for Multi-Hop Question Answering in Language Models.
CoRR, 2024
CoRR, 2024
Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start Recommendation.
Proceedings of the ACM on Web Conference 2024, 2024
Applying Neural Monte Carlo Tree Search to Unsignalized Multi-intersection Scheduling for Autonomous Vehicles.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024
Retrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question Answering.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Proceedings of the 35th British Machine Vision Conference, 2024
Automated Natural Language Explanation of Deep Visual Neurons with Large Models (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Source-free and black-box domain adaptation via distributionally adversarial training.
Pattern Recognit., November, 2023
Light-TBFNet: RGB-D salient detection based on a lightweight two-branch fusion strategy.
Multim. Tools Appl., July, 2023
Sensors, January, 2023
IEEE Trans. Knowl. Data Eng., 2023
MPHM: Model poisoning attacks on federal learning using historical information momentum.
Secur. Saf., 2023
IEEE Trans. Pattern Anal. Mach. Intell., 2023
CoRR, 2023
CoRR, 2023
ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs.
CoRR, 2023
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023
ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs.
Proceedings of the IEEE International Conference on Data Mining, 2023
GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
2022
Measurement and Analysis of Shock Wave Pressure in Moving Charge and Stationary Charge Explosions.
Sensors, 2022
Exploring uncertainty in regression neural networks for construction of prediction intervals.
Neurocomputing, 2022
Co-supervised learning paradigm with conditional generative adversarial networks for sample-efficient classification.
CoRR, 2022
Automatic liver tumor segmentation used the cascade multi-scale attention architecture method based on 3D U-Net.
Int. J. Comput. Assist. Radiol. Surg., 2022
Decision-based Black-box Attack Against Vision Transformers via Patch-wise Adversarial Removal.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the HP3C 2022: 6th International Conference on High Performance Compilation, 2022
2021
CoRR, 2021
CoRR, 2021
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021
Proceedings of the Image and Graphics - 11th International Conference, 2021
2020
Pattern Recognit., 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
2018
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018
Universal Perturbation Generation for Black-box Attack Using Evolutionary Algorithms.
Proceedings of the 24th International Conference on Pattern Recognition, 2018
Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018