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2020 – today
- 2024
[j4]Xin Guo, Wenqing Yang, Likun Zhang, Yufeng Shi, Jing Li, Jiande Sun, Wenbo Wan
:
Deep image watermarking with loss-driven modification. Multim. Tools Appl. 83(13): 37665-37685 (2024)- [c9]Likun Zhang, Jingwei Sun, Shoukun Guo, Fenghua Li, Jin Cao, Ben Niu:
Interpreting Memorization in Deep Learning from Data Distribution. ICASSP 2024: 5565-5569 - [c8]Zhicheng Du, Zhaotian Xie, Huazhang Ying, Likun Zhang, Peiwu Qin:
Cognitive resilience: Unraveling the proficiency of image-captioning models to interpret masked visual content. Tiny Papers @ ICLR 2024 - [c7]Hao Wu, Likun Zhang, Shucheng Li, Fengyuan Xu, Sheng Zhong:
CoAst: Validation-Free Contribution Assessment for Federated Learning based on Cross-Round Valuation. ACM Multimedia 2024: 1839-1847 - [i5]Zhicheng Du, Zhaotian Xie, Huazhang Ying, Likun Zhang, Peiwu Qin:
Cognitive resilience: Unraveling the proficiency of image-captioning models to interpret masked visual content. CoRR abs/2403.15876 (2024) - [i4]Hao Wu, Likun Zhang, Shucheng Li, Fengyuan Xu, Sheng Zhong:
CoAst: Validation-Free Contribution Assessment for Federated Learning based on Cross-Round Valuation. CoRR abs/2409.02495 (2024) - [i3]Likun Zhang, Hao Wu, Lingcui Zhang, Fengyuan Xu, Jin Cao, Fenghua Li, Ben Niu:
Training Data Attribution: Was Your Model Secretly Trained On Data Created By Mine? CoRR abs/2409.15781 (2024) - 2023
- [c6]Tianyu Zong, Likun Zhang:
An Ensemble Distillation Framework for Sentence Embeddings with Multilingual Round-Trip Translation. AAAI 2023: 14074-14082 - [c5]Ben Niu, Xindi Wang, Likun Zhang, Shoukun Guo, Jin Cao, Fenghua Li:
A Sensitivity-aware and Block-wise Pruning Method for Privacy-preserving Federated Learning. GLOBECOM 2023: 4259-4264 - [c4]Likun Zhang, Yahong Chen, Ang Li, Binghui Wang, Yiran Chen, Fenghua Li, Jin Cao, Ben Niu:
Interpreting Disparate Privacy-Utility Tradeoff in Adversarial Learning via Attribute Correlation. WACV 2023: 4690-4698 - [i2]Likun Zhang, Xiaoyu Ma, Christopher K. Wikle, Raphaël Huser:
Flexible and efficient spatial extremes emulation via variational autoencoders. CoRR abs/2307.08079 (2023) - 2020
- [j3]Likun Zhang, Enrique del Castillo, Andrew J. Berglund, Martin P. Tingley, Nirmal Govind:
Computing confidence intervals from massive data via penalized quantile smoothing splines. Comput. Stat. Data Anal. 144: 106885 (2020) - [j2]Xin Guo, Ning Xiao, Likun Zhang:
Sequential binary code selection for robust object tracking. Multim. Tools Appl. 79(11-12): 6951-6963 (2020) - [c3]Ben Niu, Yahong Chen, Likun Zhang, Fenghua Li:
Membership Inference Attacks against MemGuard : IEEE CNS 20 Poster. CNS 2020: 1-2 - [c2]Ben Niu, Likun Zhang, Yahong Chen, Ang Li, Wei Du, Jin Cao, Fenghua Li:
A Framework to Preserve User Privacy for Machine Learning as a Service. GLOBECOM 2020: 1-6 - [i1]Yilin Kang, Yong Liu, Ben Niu, Xinyi Tong, Likun Zhang, Weiping Wang:
Input Perturbation: A New Paradigm between Central and Local Differential Privacy. CoRR abs/2002.08570 (2020)
2010 – 2019
- 2018
- [j1]Shuxing Du, Peng Wu, Guoying Wu, Chensong Yao, Likun Zhang:
The Collaborative System Workflow Management of Industrial Design Based on Hierarchical Colored Petri-Net. IEEE Access 6: 27383-27391 (2018) - 2011
- [c1]Jiande Sun, Jie Zhang, Hua Yan, Likun Zhang, Wei Liu:
Visual Attention Model with Cross-Layer Saliency Optimization. IIH-MSP 2011: 240-243
Coauthor Index
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