Yanzhao Wu

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 19

Top Topics

Object Tracking

Diffusion Models

Ensemble Selection

Top Venues

IEEE Trans. Serv. Comput.

Publications

Fatih Ilhan, Ka-Ho Chow, Sihao Hu, Tiansheng Huang, Selim F. Tekin, Wenqi Wei, Yanzhao Wu, Myungjin Lee, Ramana Kompella, Hugo Latapie, Gaowen Liu, Ling Liu
Adaptive Deep Neural Network Inference Optimization with EENet. WACV (2024)
Sihao Hu, Tiansheng Huang, Ka-Ho Chow, Wenqi Wei, Yanzhao Wu, Ling Liu
ZipZap: Efficient Training of Language Models for Large-Scale Fraud Detection on Blockchain. WWW (2024)
Badhan Chandra Das, M. Hadi Amini, Yanzhao Wu
Security and Privacy Challenges of Large Language Models: A Survey. CoRR (2024)
Yanzhao Wu, Ka Ho Chow, Wenqi Wei, Ling Liu
Hierarchical Pruning of Deep Ensembles with Focal Diversity. ACM Trans. Intell. Syst. Technol. 15 (1) (2024)
Tianya Zhao, Ningning Wang, Yanzhao Wu, Wenbin Zhang, Xuyu Wang
Backdoor Attacks Against Low-Earth Orbit Satellite Fingerprinting. INFOCOM (Workshops) (2024)
Wenqi Wei, Ka Ho Chow, Yanzhao Wu, Ling Liu
Demystifying Data Poisoning Attacks in Distributed Learning as a Service. IEEE Trans. Serv. Comput. 17 (1) (2024)
Nawrin Tabassum, Ka-Ho Chow, Xuyu Wang, Wenbin Zhang, Yanzhao Wu
On the Efficiency of Privacy Attacks in Federated Learning. CoRR (2024)
Badhan Chandra Das, M. Hadi Amini, Yanzhao Wu
Privacy Risks Analysis and Mitigation in Federated Learning for Medical Images. BIBM (2023)
Hongpeng Jin, Wenqi Wei, Xuyu Wang, Wenbin Zhang, Yanzhao Wu
Rethinking Learning Rate Tuning in the Era of Large Language Models. CoRR (2023)
Xirong Cao, Xiang Li, Divyesh Jadav, Yanzhao Wu, Zhehui Chen, Chen Zeng, Wenqi Wei
Invisible Watermarking for Audio Generation Diffusion Models. CoRR (2023)
Wenqi Wei, Ka-Ho Chow, Fatih Ilhan, Yanzhao Wu, Ling Liu
Model Cloaking against Gradient Leakage. ICDM (2023)
Sanjana Vijay Ganesh, Yanzhao Wu, Gaowen Liu, Ramana Kompella, Ling Liu
Amplifying Object Tracking Performance on Edge Devices. CogMI (2023)
Yanzhao Wu, Ka Ho Chow, Wenqi Wei, Ling Liu
Exploring Model Learning Heterogeneity for Boosting Ensemble Robustness. ICDM (2023)
Sanjana Vijay Ganesh, Yanzhao Wu, Gaowen Liu, Ramana Kompella, Ling Liu
Fast and Resource-Efficient Object Tracking on Edge Devices: A Measurement Study. CoRR (2023)
Yanzhao Wu, Ka Ho Chow, Wenqi Wei, Ling Liu
Exploring Model Learning Heterogeneity for Boosting Ensemble Robustness. CoRR (2023)
Hongpeng Jin, Wenqi Wei, Xuyu Wang, Wenbin Zhang, Yanzhao Wu
Rethinking Learning Rate Tuning in the Era of Large Language Models. CogMI (2023)
Yanzhao Wu, Ka Ho Chow, Wenqi Wei, Ling Liu
Hierarchical Pruning of Deep Ensembles with Focal Diversity. CoRR (2023)
Badhan Chandra Das, M. Hadi Amini, Yanzhao Wu
Privacy Risks Analysis and Mitigation in Federated Learning for Medical Images. CoRR (2023)
Xirong Cao, Xiang Li, Divyesh Jadav, Yanzhao Wu, Zhehui Chen, Chen Zeng, Wenqi Wei
Invisible Watermarking for Audio Generation Diffusion Models. TPS-ISA (2023)