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Yucheng Shi
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2020 – today
- 2024
- [j15]Hao Zhen, Yucheng Shi, Yongcan Huang, Jidong J. Yang
, Ninghao Liu
Leveraging Large Language Models with Chain-of-Thought and Prompt Engineering for Traffic Crash Severity Analysis and Inference. Comput. 13(9): 232 (2024) - [j14]Boyuan Zhang, Jiaxu Li, Yucheng Shi, Yahong Han
VADS: Visuo-Adaptive DualStrike attack on visual question answer. Comput. Vis. Image Underst. 249: 104137 (2024) - [j13]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: 127811 (2024) - [j12]Boyuan Zhang
Cascade & allocate: A cross-structure adversarial attack against models fusing vision and language. Inf. Fusion 104: 102179 (2024) - [j11]Deng Li
Pseudo-label refinement via hierarchical contrastive learning for source-free unsupervised domain adaptation. Pattern Recognit. Lett. 186: 236-242 (2024) - [c20]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: 23712-23713 - [c19]Yucheng Shi
Retrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question Answering. CIKM 2024: 2056-2066 - [c18]Lin Wei, Runxuan Sha, Yucheng Shi, Qingxian Wang, Lei Shi, Yufei Gao:
Dual Consistency Regularization for Semi-supervised Medical Image Segmentation. ICIC (5) 2024: 197-206 - [c17]Yufei Gao, Shichao Zhang, Dandan Zhang, Yucheng Shi, Guohua Zhao, Lei Shi
Coformer: Collaborative Transformer for Medical Image Segmentation. ICIC (3) 2024: 240-250 - [c16]Xuansheng Wu
Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start Recommendation. WWW 2024: 3566-3575 - [i23]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 abs/2403.08946 (2024) - [i22]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 abs/2403.19631 (2024) - [i21]Zihao Li, Yucheng Shi, Zirui Liu, Fan Yang, Ninghao Liu, Mengnan Du:
Quantifying Multilingual Performance of Large Language Models Across Languages. CoRR abs/2404.11553 (2024) - [i20]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 abs/2405.00410 (2024) - [i19]Hao Zhen, Yucheng Shi, Yongcan Huang, Jidong J. Yang, Ninghao Liu:
Leveraging Large Language Models with Chain-of-Thought and Prompt Engineering for Traffic Crash Severity Analysis and Inference. CoRR abs/2408.04652 (2024) - [i18]Yucheng Shi, Peng Shu, Zhengliang Liu, Zihao Wu, Quanzheng Li, Xiang Li:
MGH Radiology Llama: A Llama 3 70B Model for Radiology. CoRR abs/2408.11848 (2024) - [i17]Yuncheng Yang, Yulei Qin, Tong Wu, Zihan Xu, Gang Li, Pengcheng Guo, Hang Shao, Yucheng Shi, Ke Li, Xing Sun, Jie Yang, Yun Gu:
Leveraging Open Knowledge for Advancing Task Expertise in Large Language Models. CoRR abs/2408.15915 (2024) - [i16]Yiwei Li, Sekeun Kim, Zihao Wu, Hanqi Jiang, Yi Pan, Pengfei Jin, Sifan Song, Yucheng Shi, Tianming Liu, Quanzheng Li, Xiang Li:
ECHOPulse: ECG controlled echocardio-grams video generation. CoRR abs/2410.03143 (2024) - [i15]Wenlong Wang, Ivana Dusparic, Yucheng Shi, Ke Zhang, Vinny Cahill:
Drama: Mamba-Enabled Model-Based Reinforcement Learning Is Sample and Parameter Efficient. CoRR abs/2410.08893 (2024) - [i14]Yucheng Shi, Wenlong Wang, Xiaowen Tao, Ivana Dusparic, Vinny Cahill:
Applying Neural Monte Carlo Tree Search to Unsignalized Multi-intersection Scheduling for Autonomous Vehicles. CoRR abs/2410.18786 (2024) - [i13]Sitian Chen, Amelie Chi Zhou, Yucheng Shi, Yusen Li, Xin Yao:
MemANNS: Enhancing Billion-Scale ANNS Efficiency with Practical PIM Hardware. CoRR abs/2410.23805 (2024) - 2023
- [j10]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): 26005-26035 (2023) - [j9]Yucheng Shi
Query-Efficient Black-Box Adversarial Attack With Customized Iteration and Sampling. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2226-2245 (2023) - [j8]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: 109750 (2023) - [j7]Lei Shi, Zhen Chen, Yucheng Shi, Lin Wei, Yongcai Tao, Mengyang He, Qingxian Wang, Yuan Zhou, Yufei Gao:
MPHM: Model poisoning attacks on federal learning using historical information momentum. Secur. Saf. 2: 2023006 (2023) - [j6]Lin Wei, Zhenyuan Wang, Jing Xu, Yucheng Shi, Qingxian Wang, Lei Shi
A Lightweight Sentiment Analysis Framework for a Micro-Intelligent Terminal. Sensors 23(2): 741 (2023) - [j5]Run Li, Yucheng Shi
Active and Compact Entropy Search for High-Dimensional Bayesian Optimization. IEEE Trans. Knowl. Data Eng. 35(1): 59-70 (2023) - [c15]Yucheng Shi
GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction. CIKM 2023: 2259-2269 - [c14]Yucheng Shi, Hehuan Ma, Wenliang Zhong, Qiaoyu Tan, Gengchen Mai, Xiang Li
ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs. ICDM (Workshops) 2023: 515-520 - [c13]Yucheng Shi, Shaguna Gupta, Vinny Cahill:
Towards Coordinated Motorways: A Slot-based On-Ramp Merging Control Method. IV 2023: 1-8 - [c12]Yucheng Shi, Mengnan Du, Xuansheng Wu, Zihan Guan, Jin Sun, Ninghao Liu:
Black-box Backdoor Defense via Zero-shot Image Purification. NeurIPS 2023 - [c11]Yucheng Shi, Kaixiong Zhou, Ninghao Liu:
ENGAGE: Explanation Guided Data Augmentation for Graph Representation Learning. ECML/PKDD (3) 2023: 104-121 - [i12]Yucheng Shi, Mengnan Du, Xuansheng Wu, Zihan Guan, Ninghao Liu:
Black-box Backdoor Defense via Zero-shot Image Purification. CoRR abs/2303.12175 (2023) - [i11]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 abs/2305.03513 (2023) - [i10]Ziqi Zhao, Yucheng Shi, Shushan Wu, Fan Yang, Wenzhan Song, Ninghao Liu:
Interpretation of Time-Series Deep Models: A Survey. CoRR abs/2305.14582 (2023) - [i9]Yucheng Shi, Kaixiong Zhou, Ninghao Liu:
ENGAGE: Explanation Guided Data Augmentation for Graph Representation Learning. CoRR abs/2307.01053 (2023) - [i8]Yucheng Shi, Yushun Dong, Qiaoyu Tan, Jundong Li, Ninghao Liu:
GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction. CoRR abs/2308.09663 (2023) - [i7]Yucheng Shi, Shaochen Xu, Zhengliang Liu, Tianming Liu, Xiang Li, Ninghao Liu:
MedEdit: Model Editing for Medical Question Answering with External Knowledge Bases. CoRR abs/2309.16035 (2023) - [i6]Chenxu Zhao, Wei Qian, Yucheng Shi, Mengdi Huai, Ninghao Liu:
Automated Natural Language Explanation of Deep Visual Neurons with Large Models. CoRR abs/2310.10708 (2023) - 2022
- [j4]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): 1915-1922 (2022) - [j3]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: 249-257 (2022) - [j2]Xuejiao Ma
Measurement and Analysis of Shock Wave Pressure in Moving Charge and Stationary Charge Explosions. Sensors 22(17): 6582 (2022) - [c10]Yucheng Shi, Long Ren:
Performance Optimization of Sparse Deep Neural Networks Based on GPU. HP3C 2022: 72-76 - [c9]Yucheng Shi, Yahong Han, Yu-an Tan, Xiaohui Kuang:
Decision-based Black-box Attack Against Vision Transformers via Patch-wise Adversarial Removal. NeurIPS 2022 - [i5]Hao Zhen, Yucheng Shi, Jidong J. Yang
Co-supervised learning paradigm with conditional generative adversarial networks for sample-efficient classification. CoRR abs/2212.13589 (2022) - 2021
- [c8]Haitao Zhang
Free Adversarial Training with Layerwise Heuristic Learning. ICIG (2) 2021: 120-131 - [c7]Fan Jia
Zero Knowledge Adversarial Defense Via Iterative Translation Cycle. ICME 2021: 1-6 - [i4]Yuandu Lai, Yucheng Shi, Yahong Han, Yunfeng Shao, Meiyu Qi, Bingshuai Li:
Exploring Uncertainty in Deep Learning for Construction of Prediction Intervals. CoRR abs/2104.12953 (2021) - [i3]Kunhong Wu, Yucheng Shi, Yahong Han, Yunfeng Shao, Bingshuai Li:
Black-box Probe for Unsupervised Domain Adaptation without Model Transferring. CoRR abs/2107.10174 (2021) - [i2]Yucheng Shi, Yahong Han:
Decision-based Black-box Attack Against Vision Transformers via Patch-wise Adversarial Removal. CoRR abs/2112.03492 (2021) - 2020
- [j1]Yucheng Shi, Yahong Han
Adaptive iterative attack towards explainable adversarial robustness. Pattern Recognit. 105: 107309 (2020) - [c6]Yucheng Shi, Yahong Han, Qi Tian:
Polishing Decision-Based Adversarial Noise With a Customized Sampling. CVPR 2020: 1027-1035 - [c5]Jianqiao An, Yucheng Shi, Yahong Han
Extract and Merge: Superpixel Segmentation with Regional Attributes. ECCV (30) 2020: 155-170
2010 – 2019
- 2019
- [c4]Yucheng Shi, Siyu Wang, Yahong Han:
Curls & Whey: Boosting Black-Box Adversarial Attacks. CVPR 2019: 6519-6527 - [i1]Yucheng Shi, Siyu Wang, Yahong Han:
Curls & Whey: Boosting Black-Box Adversarial Attacks. CoRR abs/1904.01160 (2019) - 2018
- [c3]Yucheng Shi, Yahong Han:
Schmidt: Image Augmentation for Black-Box Adversarial Attack. ICME 2018: 1-6 - [c2]Sivy Wang, Yucheng Shi, Yahong Han:
Universal Perturbation Generation for Black-box Attack Using Evolutionary Algorithms. ICPR 2018: 1277-1282 - [c1]Xiaomeng Song, Yucheng Shi
Explore Multi-Step Reasoning in Video Question Answering. ACM Multimedia 2018: 239-247
Coauthor Index
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last updated on 2024-12-02 21:30 CET by the dblp team
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