Yucheng Shi

According to our database, Yucheng Shi authored at least 37 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Cascade & allocate: A cross-structure adversarial attack against models fusing vision and language.

Boyuan Zhang, Yucheng Shi, Yahong Han, Qinghua Hu, Weiping Ding

Inf. Fusion, April, 2024

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

Yucheng Shi, Qiaoyu Tan, Xuansheng Wu, Shaochen Zhong, Kaixiong Zhou, Ninghao Liu

CoRR, 2024

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

Xuansheng Wu, Haiyan Zhao, Yaochen Zhu, Yucheng Shi, Fan Yang, Tianming Liu, Xiaoming Zhai, Wenlin Yao, Jundong Li, Mengnan Du, Ninghao Liu

CoRR, 2024

Automated Natural Language Explanation of Deep Visual Neurons with Large Models (Student Abstract).

Chenxu Zhao, Wei Qian, Yucheng Shi, Mengdi Huai, Ninghao Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Source-free and black-box domain adaptation via distributionally adversarial training.

Yucheng Shi, Kunhong Wu, Yahong Han, Yunfeng Shao, Bingshuai Li, Fei Wu

Pattern Recognit., November, 2023

Light-TBFNet: RGB-D salient detection based on a lightweight two-branch fusion strategy.

Yun Wu, Yucheng Shi, Huaiyan Shen, Yaya Tan, Yu Wang

Multim. Tools Appl., July, 2023

A Lightweight Sentiment Analysis Framework for a Micro-Intelligent Terminal.

Lin Wei, Zhenyuan Wang, Jing Xu, Yucheng Shi, Qingxian Wang, Lei Shi, Yongcai Tao, Yufei Gao

Sensors, January, 2023

Active and Compact Entropy Search for High-Dimensional Bayesian Optimization.

Run Li, Yucheng Shi, Yahong Han, Yunfeng Shao, Meiyu Qi, Bingshuai Li

IEEE Trans. Knowl. Data Eng., 2023

Query-Efficient Black-Box Adversarial Attack With Customized Iteration and Sampling.

Yucheng Shi, Yahong Han, Qinghua Hu, Yi Yang, Qi Tian

IEEE Trans. Pattern Anal. Mach. Intell., 2023

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

Chenxu Zhao, Wei Qian, Yucheng Shi, Mengdi Huai, Ninghao Liu

CoRR, 2023

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

Yucheng Shi, Shaochen Xu, Zhengliang Liu, Tianming Liu, Xiang Li, Ninghao Liu

CoRR, 2023

Interpretation of Time-Series Deep Models: A Survey.

Ziqi Zhao, Yucheng Shi, Shushan Wu, Fan Yang, Wenzhan Song, Ninghao Liu

CoRR, 2023

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

Yucheng Shi, Hehuan Ma, Wenliang Zhong, Gengchen Mai, Xiang Li, Tianming Liu, Junzhou Huang

CoRR, 2023

Black-box Backdoor Defense via Zero-shot Image Purification.

Yucheng Shi, Mengnan Du, Xuansheng Wu, Zihan Guan, Ninghao Liu

CoRR, 2023

ENGAGE: Explanation Guided Data Augmentation for Graph Representation Learning.

Yucheng Shi, Kaixiong Zhou, Ninghao Liu

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Black-box Backdoor Defense via Zero-shot Image Purification.

Yucheng Shi, Mengnan Du, Xuansheng Wu, Zihan Guan, Jin Sun, Ninghao Liu

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.

Yucheng Shi, Shaguna Gupta, Vinny Cahill

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

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

Yucheng Shi, Hehuan Ma, Wenliang Zhong, Qiaoyu Tan, Gengchen Mai, Xiang Li, Tianming Liu, Junzhou Huang

Proceedings of the IEEE International Conference on Data Mining, 2023

GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction.

Yucheng Shi, Yushun Dong, Qiaoyu Tan, Jundong Li, Ninghao Liu

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.

Xuejiao Ma, Deren Kong, Yucheng Shi

Sensors, 2022

Exploring uncertainty in regression neural networks for construction of prediction intervals.

Yuandu Lai, Yucheng Shi, Yahong Han, Yunfeng Shao, Meiyu Qi, Bingshuai Li

Neurocomputing, 2022

Co-supervised learning paradigm with conditional generative adversarial networks for sample-efficient classification.

Hao Zhen, Yucheng Shi, Jidong J. Yang, Javad Mohammadpour Vehni

CoRR, 2022

Automatic liver tumor segmentation used the cascade multi-scale attention architecture method based on 3D U-Net.

Yun Wu, Huaiyan Shen, Yaya Tan, Yucheng Shi

Int. J. Comput. Assist. Radiol. Surg., 2022

Decision-based Black-box Attack Against Vision Transformers via Patch-wise Adversarial Removal.

Yucheng Shi, Yahong Han, Yu-an Tan, Xiaohui Kuang

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.

Yucheng Shi, Long Ren

Proceedings of the HP3C 2022: 6th International Conference on High Performance Compilation, 2022

2021

Decision-based Black-box Attack Against Vision Transformers via Patch-wise Adversarial Removal.

Yucheng Shi, Yahong Han

CoRR, 2021

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

Kunhong Wu, Yucheng Shi, Yahong Han, Yunfeng Shao, Bingshuai Li

CoRR, 2021

Exploring Uncertainty in Deep Learning for Construction of Prediction Intervals.

Yuandu Lai, Yucheng Shi, Yahong Han, Yunfeng Shao, Meiyu Qi, Bingshuai Li

CoRR, 2021

Zero Knowledge Adversarial Defense Via Iterative Translation Cycle.

Fan Jia, Yucheng Shi, Yahong Han

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Free Adversarial Training with Layerwise Heuristic Learning.

Haitao Zhang, Yucheng Shi, Benyu Dong, Yahong Han, Yuanzhang Li, Xiaohui Kuang

Proceedings of the Image and Graphics - 11th International Conference, 2021

2020

Adaptive iterative attack towards explainable adversarial robustness.

Yucheng Shi, Yahong Han, Quanxin Zhang, Xiaohui Kuang

Pattern Recognit., 2020

Extract and Merge: Superpixel Segmentation with Regional Attributes.

Jianqiao An, Yucheng Shi, Yahong Han, Meijun Sun, Qi Tian

Proceedings of the Computer Vision - ECCV 2020, 2020

Polishing Decision-Based Adversarial Noise With a Customized Sampling.

Yucheng Shi, Yahong Han, Qi Tian

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Curls & Whey: Boosting Black-Box Adversarial Attacks.

Yucheng Shi, Siyu Wang, Yahong Han

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Explore Multi-Step Reasoning in Video Question Answering.

Xiaomeng Song, Yucheng Shi, Xin Chen, Yahong Han

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Universal Perturbation Generation for Black-box Attack Using Evolutionary Algorithms.

Sivy Wang, Yucheng Shi, Yahong Han

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Schmidt: Image Augmentation for Black-Box Adversarial Attack.

Yucheng Shi, Yahong Han

Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018