Yucheng Shi

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 47

Top Topics

Medical Image Segmentation

Question Answering

Top Venues

Publications

Yucheng Shi, Qiaoyu Tan, Xuansheng Wu, Shaochen Zhong, Kaixiong Zhou, Ninghao Liu
Retrieval-Enhanced Knowledge Editing for Multi-Hop Question Answering in Language Models. CoRR (2024)
Yafeng Yang, Yufei Gao, Lin Wei, Mengyang He, Yucheng Shi, Hailing Wang, Qing Li, Zhiyuan Zhu
Self-support matching networks with multiscale attention for few-shot semantic segmentation. Neurocomputing 594 (2024)
Xuansheng Wu, Haiyan Zhao, Yaochen Zhu, Yucheng Shi, Fan Yang, Tianming Liu, Xiaoming Zhai, Wenlin Yao, Jundong Li, Mengnan Du, Ninghao Liu
Usable XAI: 10 Strategies Towards Exploiting Explainability in the LLM Era. CoRR (2024)
Lin Wei, Runxuan Sha, Yucheng Shi, Qingxian Wang, Lei Shi, Yufei Gao
Dual Consistency Regularization for Semi-supervised Medical Image Segmentation. ICIC (5) (2024)
Xuansheng Wu, Huachi Zhou, Yucheng Shi, Wenlin Yao, Xiao Huang, Ninghao Liu
Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start Recommendation. WWW (2024)
Boyuan Zhang, Yucheng Shi, Yahong Han, Qinghua Hu, Weiping Ding
Cascade & allocate: A cross-structure adversarial attack against models fusing vision and language. Inf. Fusion 104 (2024)
Yucheng Shi, Alexandros Agapitos, David Lynch, Giorgio Cruciata, Cengis Hasan, Hao Wang, Yayu Yao, Aleksandar Milenovic
UCB-driven Utility Function Search for Multi-objective Reinforcement Learning. CoRR (2024)
Zihao Li, Yucheng Shi, Zirui Liu, Fan Yang, Ninghao Liu, Mengnan Du
Quantifying Multilingual Performance of Large Language Models Across Languages. CoRR (2024)
Yufei Gao, Shichao Zhang, Dandan Zhang, Yucheng Shi, Guohua Zhao, Lei Shi
Coformer: Collaborative Transformer for Medical Image Segmentation. ICIC (3) (2024)
Chenxu Zhao, Wei Qian, Yucheng Shi, Mengdi Huai, Ninghao Liu
Automated Natural Language Explanation of Deep Visual Neurons with Large Models (Student Abstract). AAAI (2024)
Yucheng Shi, Mengnan Du, Xuansheng Wu, Zihan Guan, Jin Sun, Ninghao Liu
Black-box Backdoor Defense via Zero-shot Image Purification. NeurIPS (2023)
Run Li, Yucheng Shi, Yahong Han, Yunfeng Shao, Meiyu Qi, Bingshuai Li
Active and Compact Entropy Search for High-Dimensional Bayesian Optimization. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Yucheng Shi, Mengnan Du, Xuansheng Wu, Zihan Guan, Ninghao Liu
Black-box Backdoor Defense via Zero-shot Image Purification. CoRR (2023)
Lin Wei, Zhenyuan Wang, Jing Xu, Yucheng Shi, Qingxian Wang, Lei Shi, Yongcai Tao, Yufei Gao
A Lightweight Sentiment Analysis Framework for a Micro-Intelligent Terminal. Sensors 23 (2) (2023)
Yucheng Shi, Yushun Dong, Qiaoyu Tan, Jundong Li, Ninghao Liu
GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction. CoRR (2023)
Yucheng Shi, Kaixiong Zhou, Ninghao Liu
ENGAGE: Explanation Guided Data Augmentation for Graph Representation Learning. ECML/PKDD (3) (2023)
Yun Wu, Yucheng Shi, Huaiyan Shen, Yaya Tan, Yu Wang
Light-TBFNet: RGB-D salient detection based on a lightweight two-branch fusion strategy. Multim. Tools Appl. 82 (17) (2023)
Yucheng Shi, Hehuan Ma, Wenliang Zhong, Gengchen Mai, Xiang Li, Tianming Liu, Junzhou Huang
ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs. CoRR (2023)
Yucheng Shi, Kaixiong Zhou, Ninghao Liu
ENGAGE: Explanation Guided Data Augmentation for Graph Representation Learning. CoRR (2023)
Chenxu Zhao, Wei Qian, Yucheng Shi, Mengdi Huai, Ninghao Liu
Automated Natural Language Explanation of Deep Visual Neurons with Large Models. CoRR (2023)
Yucheng Shi, Hehuan Ma, Wenliang Zhong, Qiaoyu Tan, Gengchen Mai, Xiang Li, Tianming Liu, Junzhou Huang
ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs. ICDM (Workshops) (2023)
Yucheng Shi, Shaguna Gupta, Vinny Cahill
Towards Coordinated Motorways: A Slot-based On-Ramp Merging Control Method. IV (2023)
Yucheng Shi, Yushun Dong, Qiaoyu Tan, Jundong Li, Ninghao Liu
GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction. CIKM (2023)
Yucheng Shi, Kunhong Wu, Yahong Han, Yunfeng Shao, Bingshuai Li, Fei Wu
Source-free and black-box domain adaptation via distributionally adversarial training. Pattern Recognit. 143 (2023)
Ziqi Zhao, Yucheng Shi, Shushan Wu, Fan Yang, Wenzhan Song, Ninghao Liu
Interpretation of Time-Series Deep Models: A Survey. CoRR (2023)
Yucheng Shi, Shaochen Xu, Zhengliang Liu, Tianming Liu, Xiang Li, Ninghao Liu
MedEdit: Model Editing for Medical Question Answering with External Knowledge Bases. CoRR (2023)
Yucheng Shi, Yahong Han, Qinghua Hu, Yi Yang, Qi Tian
Query-Efficient Black-Box Adversarial Attack With Customized Iteration and Sampling. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Yucheng Shi, Yahong Han, Yu-an Tan, Xiaohui Kuang
Decision-based Black-box Attack Against Vision Transformers via Patch-wise Adversarial Removal. NeurIPS (2022)
Xuejiao Ma, Deren Kong, Yucheng Shi
Measurement and Analysis of Shock Wave Pressure in Moving Charge and Stationary Charge Explosions. Sensors 22 (17) (2022)
Yuandu Lai, Yucheng Shi, Yahong Han, Yunfeng Shao, Meiyu Qi, Bingshuai Li
Exploring uncertainty in regression neural networks for construction of prediction intervals. Neurocomputing 481 (2022)
Yun Wu, Huaiyan Shen, Yaya Tan, Yucheng Shi
Automatic liver tumor segmentation used the cascade multi-scale attention architecture method based on 3D U-Net. Int. J. Comput. Assist. Radiol. Surg. 17 (10) (2022)
Hao Zhen, Yucheng Shi, Jidong J. Yang, Javad Mohammadpour Vehni
Co-supervised learning paradigm with conditional generative adversarial networks for sample-efficient classification. CoRR (2022)
Yucheng Shi, Long Ren
Performance Optimization of Sparse Deep Neural Networks Based on GPU. HP3C (2022)
Haitao Zhang, Yucheng Shi, Benyu Dong, Yahong Han, Yuanzhang Li, Xiaohui Kuang
Free Adversarial Training with Layerwise Heuristic Learning. ICIG (2) (2021)
Kunhong Wu, Yucheng Shi, Yahong Han, Yunfeng Shao, Bingshuai Li
Black-box Probe for Unsupervised Domain Adaptation without Model Transferring. CoRR (2021)
Yucheng Shi, Yahong Han
Decision-based Black-box Attack Against Vision Transformers via Patch-wise Adversarial Removal. CoRR (2021)
Yuandu Lai, Yucheng Shi, Yahong Han, Yunfeng Shao, Meiyu Qi, Bingshuai Li
Exploring Uncertainty in Deep Learning for Construction of Prediction Intervals. CoRR (2021)
Yucheng Shi, Long Ren
Performance Optimization of Sparse Deep Neural Networks Based on GPU. HP3C (2021)
Fan Jia, Yucheng Shi, Yahong Han
Zero Knowledge Adversarial Defense Via Iterative Translation Cycle. ICME (2021)
Yucheng Shi, Yahong Han, Qi Tian
Polishing Decision-Based Adversarial Noise With a Customized Sampling. CVPR (2020)
Jianqiao An, Yucheng Shi, Yahong Han, Meijun Sun, Qi Tian
Extract and Merge: Superpixel Segmentation with Regional Attributes. ECCV (30) (2020)
Yucheng Shi, Yahong Han, Quanxin Zhang, Xiaohui Kuang
Adaptive iterative attack towards explainable adversarial robustness. Pattern Recognit. 105 (2020)
Yucheng Shi, Siyu Wang, Yahong Han
Curls & Whey: Boosting Black-Box Adversarial Attacks. CoRR (2019)
Yucheng Shi, Siyu Wang, Yahong Han
Curls & Whey: Boosting Black-Box Adversarial Attacks. CVPR (2019)
Xiaomeng Song, Yucheng Shi, Xin Chen, Yahong Han
Explore Multi-Step Reasoning in Video Question Answering. ACM Multimedia (2018)
Yucheng Shi, Yahong Han
Schmidt: Image Augmentation for Black-Box Adversarial Attack. ICME (2018)
Sivy Wang, Yucheng Shi, Yahong Han
Universal Perturbation Generation for Black-box Attack Using Evolutionary Algorithms. ICPR (2018)