Yanzhao Wu

According to our database, Yanzhao Wu authored at least 46 papers between 2018 and 2024.

Collaborative distances:

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

2024

Hierarchical Pruning of Deep Ensembles with Focal Diversity.

Yanzhao Wu, Ka Ho Chow, Wenqi Wei, Ling Liu

ACM Trans. Intell. Syst. Technol., February, 2024

Demystifying Data Poisoning Attacks in Distributed Learning as a Service.

Wenqi Wei, Ka Ho Chow, Yanzhao Wu, Ling Liu

IEEE Trans. Serv. Comput., 2024

Security and Privacy Challenges of Large Language Models: A Survey.

Badhan Chandra Das, M. Hadi Amini, Yanzhao Wu

CoRR, 2024

Adaptive Deep Neural Network Inference Optimization with EENet.

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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Securing Distributed SGD Against Gradient Leakage Threats.

Wenqi Wei, Ling Liu, Jingya Zhou, Ka Ho Chow, Yanzhao Wu

IEEE Trans. Parallel Distributed Syst., July, 2023

Selecting and Composing Learning Rate Policies for Deep Neural Networks.

Yanzhao Wu, Ling Liu

ACM Trans. Intell. Syst. Technol., April, 2023

Towards Deep Learning System and Algorithm Co-design.

Yanzhao Wu

PhD thesis, 2023

Fast and Resource-Efficient Object Tracking on Edge Devices: A Measurement Study.

Sanjana Vijay Ganesh, Yanzhao Wu, Gaowen Liu, Ramana Kompella, Ling Liu

CoRR, 2023

EENet: Learning to Early Exit for Adaptive Inference.

Fatih Ilhan, Ling Liu, Ka Ho Chow, Wenqi Wei, Yanzhao Wu, Myungjin Lee, Ramana Kompella, Hugo Latapie, Gaowen Liu

CoRR, 2023

Invisible Watermarking for Audio Generation Diffusion Models.

Xirong Cao, Xiang Li, Divyesh Jadav, Yanzhao Wu, Zhehui Chen, Chen Zeng, Wenqi Wei

Proceedings of the 5th IEEE International Conference on Trust, 2023

Model Cloaking against Gradient Leakage.

Wenqi Wei, Ka-Ho Chow, Fatih Ilhan, Yanzhao Wu, Ling Liu

Proceedings of the IEEE International Conference on Data Mining, 2023

Exploring Model Learning Heterogeneity for Boosting Ensemble Robustness.

Yanzhao Wu, Ka Ho Chow, Wenqi Wei, Ling Liu

Proceedings of the IEEE International Conference on Data Mining, 2023

STDLens: Model Hijacking-Resilient Federated Learning for Object Detection.

Ka Ho Chow, Ling Liu, Wenqi Wei, Fatih Ilhan, Yanzhao Wu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Rethinking Learning Rate Tuning in the Era of Large Language Models.

Hongpeng Jin, Wenqi Wei, Xuyu Wang, Wenbin Zhang, Yanzhao Wu

Proceedings of the 5th IEEE International Conference on Cognitive Machine Intelligence, 2023

Amplifying Object Tracking Performance on Edge Devices.

Sanjana Vijay Ganesh, Yanzhao Wu, Gaowen Liu, Ramana Kompella, Ling Liu

Proceedings of the 5th IEEE International Conference on Cognitive Machine Intelligence, 2023

Privacy Risks Analysis and Mitigation in Federated Learning for Medical Images.

Badhan Chandra Das, M. Hadi Amini, Yanzhao Wu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Learning TFIDF Enhanced Joint Embedding for Recipe-Image Cross-Modal Retrieval Service.

Zhongwei Xie, Ling Liu, Yanzhao Wu, Lin Li, Luo Zhong

IEEE Trans. Serv. Comput., 2022

A Comparative Measurement Study of Deep Learning as a Service Framework.

Yanzhao Wu, Ling Liu, Calton Pu, Wenqi Cao, Semih Sahin, Wenqi Wei, Qi Zhang

IEEE Trans. Serv. Comput., 2022

Learning Text-image Joint Embedding for Efficient Cross-modal Retrieval with Deep Feature Engineering.

Zhongwei Xie, Ling Liu, Yanzhao Wu, Luo Zhong, Lin Li

ACM Trans. Inf. Syst., 2022

2021

Learning Text-Image Joint Embedding for Efficient Cross-Modal Retrieval with Deep Feature Engineering.

Zhongwei Xie, Ling Liu, Yanzhao Wu, Luo Zhong, Lin Li

CoRR, 2021

RDMAbox : Optimizing RDMA for Memory Intensive Workloads.

Juhyun Bae, Gong Su, Arun Iyengar, Yanzhao Wu, Ling Liu

CoRR, 2021

Boosting Deep Ensemble Performance with Hierarchical Pruning.

Yanzhao Wu, Ling Liu

Proceedings of the IEEE International Conference on Data Mining, 2021

Gradient-Leakage Resilient Federated Learning.

Wenqi Wei, Ling Liu, Yanzhao Wu, Gong Su, Arun Iyengar

Proceedings of the 41st IEEE International Conference on Distributed Computing Systems, 2021

Boosting Ensemble Accuracy by Revisiting Ensemble Diversity Metrics.

Yanzhao Wu, Ling Liu, Zhongwei Xie, Ka Ho Chow, Wenqi Wei

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

RDMAbox: Optimizing RDMA for Memory Intensive Workload.

Juhyun Bae, Ling Liu, Yanzhao Wu, Gong Su, Arun Iyengar

Proceedings of the 7th IEEE International Conference on Collaboration and Internet Computing, 2021

Parallel Detection for Efficient Video Analytics at the Edge.

Yanzhao Wu, Ling Liu, Ramana Kompella

Proceedings of the Third IEEE International Conference on Cognitive Machine Intelligence, 2021

Transparent Network Memory Storage for Efficient Container Execution in Big Data Clouds.

Juhyun Bae, Ling Liu, Ka Ho Chow, Yanzhao Wu, Gong Su, Arun Iyengar

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

A Framework for Evaluating Gradient Leakage Attacks in Federated Learning.

Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu

CoRR, 2020

TOG: Targeted Adversarial Objectness Gradient Attacks on Real-time Object Detection Systems.

Ka Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu

CoRR, 2020

Adversarial Deception in Deep Learning: Analysis and Mitigation.

Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu

Proceedings of the Second IEEE International Conference on Trust, 2020

Adversarial Objectness Gradient Attacks in Real-time Object Detection Systems.

Ka Ho Chow, Ling Liu, Margaret Loper, Juhyun Bae, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu

Proceedings of the Second IEEE International Conference on Trust, 2020

Efficient Orchestration of Host and Remote Shared Memory for Memory Intensive Workloads.

Juhyun Bae, Gong Su, Arun Iyengar, Yanzhao Wu, Ling Liu

Proceedings of the MEMSYS 2020: The International Symposium on Memory Systems, 2020

Cross-Layer Strategic Ensemble Defense Against Adversarial Examples.

Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu

Proceedings of the International Conference on Computing, Networking and Communications, 2020

A Framework for Evaluating Client Privacy Leakages in Federated Learning.

Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu

Proceedings of the Computer Security - ESORICS 2020, 2020

Understanding Object Detection Through an Adversarial Lens.

Ka Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu

Proceedings of the Computer Security - ESORICS 2020, 2020

Memory Abstraction and Optimization for Distributed Executors.

Semih Sahin, Ling Liu, Wenqi Cao, Qi Zhang, Juhyun Bae, Yanzhao Wu

Proceedings of the 6th IEEE International Conference on Collaboration and Internet Computing, 2020

Cross-Modal Joint Embedding with Diverse Semantics.

Zhongwei Xie, Ling Liu, Yanzhao Wu, Lin Li, Luo Zhong

Proceedings of the 2nd IEEE International Conference on Cognitive Machine Intelligence, 2020

Promoting High Diversity Ensemble Learning with EnsembleBench.

Yanzhao Wu, Ling Liu, Zhongwei Xie, Juhyun Bae, Ka Ho Chow, Wenqi Wei

Proceedings of the 2nd IEEE International Conference on Cognitive Machine Intelligence, 2020

2019

Demystifying Learning Rate Polices for High Accuracy Training of Deep Neural Networks.

Yanzhao Wu, Ling Liu, Juhyun Bae, Ka Ho Chow, Arun Iyengar, Calton Pu, Wenqi Wei, Lei Yu, Qi Zhang

CoRR, 2019

Deep Neural Network Ensembles Against Deception: Ensemble Diversity, Accuracy and Robustness.

Ling Liu, Wenqi Wei, Ka Ho Chow, Margaret Loper, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu

Proceedings of the 16th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2019

Memory Disaggregation: Research Problems and Opportunities.

Ling Liu, Wenqi Cao, Semih Sahin, Qi Zhang, Juhyun Bae, Yanzhao Wu

Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

Demystifying Learning Rate Policies for High Accuracy Training of Deep Neural Networks.

Yanzhao Wu, Ling Liu, Juhyun Bae, Ka Ho Chow, Arun Iyengar, Calton Pu, Wenqi Wei, Lei Yu, Qi Zhang

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks.

Ka Ho Chow, Wenqi Wei, Yanzhao Wu, Ling Liu

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

CCAligner: a token based large-gap clone detector.

Pengcheng Wang, Jeffrey Svajlenko, Yanzhao Wu, Yun Xu, Chanchal K. Roy

Proceedings of the 40th International Conference on Software Engineering, 2018

Benchmarking Deep Learning Frameworks: Design Considerations, Metrics and Beyond.

Ling Liu, Yanzhao Wu, Wenqi Wei, Wenqi Cao, Semih Sahin, Qi Zhang

Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

Experimental Characterizations and Analysis of Deep Learning Frameworks.

Yanzhao Wu, Wenqi Cao, Semih Sahin, Ling Liu

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018