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

Grammar-Guided Evolutionary Search for Discrete Prompt Optimisation.
CoRR, July, 2025

Automating Expert-Level Medical Reasoning Evaluation of Large Language Models.
CoRR, July, 2025

MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment.
CoRR, July, 2025

RadFabric: Agentic AI System with Reasoning Capability for Radiology.
CoRR, June, 2025

Concept-Centric Token Interpretation for Vector-Quantized Generative Models.
CoRR, June, 2025

A comprehensive survey of physical adversarial vulnerabilities in autonomous driving systems.
Frontiers Inf. Technol. Electron. Eng., April, 2025

Towards Trustworthy GUI Agents: A Survey.
CoRR, March, 2025

Correctness Learning: Deductive Verification Guided Learning for Human-AI Collaboration.
CoRR, March, 2025

SearchRAG: Can Search Engines Be Helpful for LLM-based Medical Question Answering?
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

Dual consistency semi-supervised learning for 3D medical image segmentation.
Biomed. Signal Process. Control., 2025

Traffic scene perception via multimodal large language model with data augmentation and efficient training strategy.
Appl. Soft Comput., 2025

Collaborative transformer U-shaped network for medical image segmentation.
Appl. Soft Comput., 2025

CMS-YOLO for Small-Scale UAV Detection.
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

ECHOPulse: ECG Controlled Echocardio-gram Video Generation.
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

TGAI: A Hard Label-Based Black-Box Attack for Trajectory Clustering.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Rball Attack: Adversarial Attacks on Trajectory Deep Representation Learning Models.
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

VADS: Visuo-Adaptive DualStrike attack on visual question answer.
Comput. Vis. Image Underst., 2024

MemANNS: Enhancing Billion-Scale ANNS Efficiency with Practical PIM Hardware.
CoRR, 2024

ECHOPulse: ECG controlled echocardio-grams video generation.
CoRR, 2024

Leveraging Open Knowledge for Advancing Task Expertise in Large Language Models.
CoRR, 2024

MGH Radiology Llama: A Llama 3 70B Model for Radiology.
CoRR, 2024

UCB-driven Utility Function Search for Multi-objective Reinforcement Learning.
CoRR, 2024

Quantifying Multilingual Performance of Large Language Models Across Languages.
CoRR, 2024

Retrieval-Enhanced Knowledge Editing for Multi-Hop Question Answering in Language Models.
CoRR, 2024

Usable XAI: 10 Strategies Towards Exploiting Explainability in the LLM Era.
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

Dual Consistency Regularization for Semi-supervised Medical Image Segmentation.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Coformer: Collaborative Transformer for Medical Image Segmentation.
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

GLPI: A Global Layered Prompt Integration approach for Explicit Visual Prompt.
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

A Lightweight Sentiment Analysis Framework for a Micro-Intelligent Terminal.
Sensors, January, 2023

Active and Compact Entropy Search for High-Dimensional Bayesian Optimization.
IEEE Trans. Knowl. Data Eng., 2023

MPHM: Model poisoning attacks on federal learning using historical information momentum.
Secur. Saf., 2023

Query-Efficient Black-Box Adversarial Attack With Customized Iteration and Sampling.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Automated Natural Language Explanation of Deep Visual Neurons with Large Models.
CoRR, 2023

MedEdit: Model Editing for Medical Question Answering with External Knowledge Bases.
CoRR, 2023

Interpretation of Time-Series Deep Models: A Survey.
CoRR, 2023

ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs.
CoRR, 2023

Black-box Backdoor Defense via Zero-shot Image Purification.
CoRR, 2023

ENGAGE: Explanation Guided Data Augmentation for Graph Representation Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Black-box Backdoor Defense via Zero-shot Image Purification.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Coordinated Motorways: A Slot-based On-Ramp Merging Control Method.
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

Performance Optimization of Sparse Deep Neural Networks Based on GPU.
Proceedings of the HP3C 2022: 6th International Conference on High Performance Compilation, 2022

2021
Black-box Probe for Unsupervised Domain Adaptation without Model Transferring.
CoRR, 2021

Exploring Uncertainty in Deep Learning for Construction of Prediction Intervals.
CoRR, 2021

Zero Knowledge Adversarial Defense Via Iterative Translation Cycle.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Free Adversarial Training with Layerwise Heuristic Learning.
Proceedings of the Image and Graphics - 11th International Conference, 2021

2020
Adaptive iterative attack towards explainable adversarial robustness.
Pattern Recognit., 2020

Extract and Merge: Superpixel Segmentation with Regional Attributes.
Proceedings of the Computer Vision - ECCV 2020, 2020

Polishing Decision-Based Adversarial Noise With a Customized Sampling.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Curls & Whey: Boosting Black-Box Adversarial Attacks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Explore Multi-Step Reasoning in Video Question Answering.
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

Schmidt: Image Augmentation for Black-Box Adversarial Attack.
Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018


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