Yanzhao Wu

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 47

Top Topics

Delta Bar Delta

Object Detection

Top Venues

Publications

Fatih Ilhan, Ling Liu, Ka Ho Chow, Wenqi Wei, Yanzhao Wu, Myungjin Lee, Ramana Kompella, Hugo Latapie, Gaowen Liu
EENet: Learning to Early Exit for Adaptive Inference. CoRR (2023)
Ka Ho Chow, Ling Liu, Wenqi Wei, Fatih Ilhan, Yanzhao Wu
STDLens: Model Hijacking-resilient Federated Learning for Object Detection. CoRR (2023)
Wenqi Wei, Ling Liu, Jingya Zhou, Ka Ho Chow, Yanzhao Wu
Securing Distributed SGD Against Gradient Leakage Threats. IEEE Trans. Parallel Distributed Syst. 34 (7) (2023)
Wenqi Wei, Ling Liu, Jingya Zhou, Ka Ho Chow, Yanzhao Wu
Securing Distributed SGD against Gradient Leakage Threats. CoRR (2023)
Yanzhao Wu, Ling Liu
Selecting and Composing Learning Rate Policies for Deep Neural Networks. ACM Trans. Intell. Syst. Technol. 14 (2) (2023)
Ka Ho Chow, Ling Liu, Wenqi Wei, Fatih Ilhan, Yanzhao Wu
STDLens: Model Hijacking-Resilient Federated Learning for Object Detection. CVPR (2023)
Yanzhao Wu, Ling Liu
Selecting and Composing Learning Rate Policies for Deep Neural Networks. CoRR (2022)
Zhongwei Xie, Ling Liu, Yanzhao Wu, Luo Zhong, Lin Li
Learning Text-image Joint Embedding for Efficient Cross-modal Retrieval with Deep Feature Engineering. ACM Trans. Inf. Syst. 40 (4) (2022)
Yanzhao Wu, Ling Liu, Calton Pu, Wenqi Cao, Semih Sahin, Wenqi Wei, Qi Zhang
A Comparative Measurement Study of Deep Learning as a Service Framework. IEEE Trans. Serv. Comput. 15 (1) (2022)
Zhongwei Xie, Ling Liu, Yanzhao Wu, Lin Li, Luo Zhong
Learning TFIDF Enhanced Joint Embedding for Recipe-Image Cross-Modal Retrieval Service. IEEE Trans. Serv. Comput. 15 (6) (2022)
Wenqi Wei, Ling Liu, Yanzhao Wu, Gong Su, Arun Iyengar
Gradient-Leakage Resilient Federated Learning. CoRR (2021)
Juhyun Bae, Ling Liu, Yanzhao Wu, Gong Su, Arun Iyengar
RDMAbox: Optimizing RDMA for Memory Intensive Workload. CIC (2021)
Yanzhao Wu, Ling Liu, Zhongwei Xie, Ka Ho Chow, Wenqi Wei
Boosting Ensemble Accuracy by Revisiting Ensemble Diversity Metrics. CVPR (2021)
Zhongwei Xie, Ling Liu, Yanzhao Wu, Luo Zhong, Lin Li
Learning Text-Image Joint Embedding for Efficient Cross-Modal Retrieval with Deep Feature Engineering. CoRR (2021)
Juhyun Bae, Ling Liu, Ka Ho Chow, Yanzhao Wu, Gong Su, Arun Iyengar
Transparent Network Memory Storage for Efficient Container Execution in Big Data Clouds. IEEE BigData (2021)
Juhyun Bae, Gong Su, Arun Iyengar, Yanzhao Wu, Ling Liu
RDMAbox : Optimizing RDMA for Memory Intensive Workloads. CoRR (2021)
Zhongwei Xie, Ling Liu, Yanzhao Wu, Lin Li, Luo Zhong
Learning TFIDF Enhanced Joint Embedding for Recipe-Image Cross-Modal Retrieval Service. CoRR (2021)
Yanzhao Wu, Ling Liu, Ramana Kompella
Parallel Detection for Efficient Video Analytics at the Edge. CogMI (2021)
Wenqi Wei, Ling Liu, Yanzhao Wu, Gong Su, Arun Iyengar
Gradient-Leakage Resilient Federated Learning. ICDCS (2021)
Yanzhao Wu, Ling Liu
Boosting Deep Ensemble Performance with Hierarchical Pruning. ICDM (2021)
Yanzhao Wu, Ling Liu, Ramana Kompella
Parallel Detection for Efficient Video Analytics at the Edge. CoRR (2021)
Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu
Cross-Layer Strategic Ensemble Defense Against Adversarial Examples. ICNC (2020)
Yanzhao Wu, Ling Liu, Zhongwei Xie, Juhyun Bae, Ka Ho Chow, Wenqi Wei
Promoting High Diversity Ensemble Learning with EnsembleBench. CogMI (2020)
Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu
Adversarial Deception in Deep Learning: Analysis and Mitigation. TPS-ISA (2020)
Juhyun Bae, Gong Su, Arun Iyengar, Yanzhao Wu, Ling Liu
Efficient Orchestration of Host and Remote Shared Memory for Memory Intensive Workloads. MEMSYS (2020)
Zhongwei Xie, Ling Liu, Yanzhao Wu, Lin Li, Luo Zhong
Cross-Modal Joint Embedding with Diverse Semantics. CogMI (2020)
Juhyun Bae, Gong Su, Arun Iyengar, Yanzhao Wu, Ling Liu
Efficient Orchestration of Host and Remote Shared Memory for Memory Intensive Workloads. CoRR (2020)
Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu
A Framework for Evaluating Client Privacy Leakages in Federated Learning. ESORICS (1) (2020)
Ka Ho Chow, Ling Liu, Margaret Loper, Juhyun Bae, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu
Adversarial Objectness Gradient Attacks in Real-time Object Detection Systems. TPS-ISA (2020)
Ka Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu
Understanding Object Detection Through An Adversarial Lens. CoRR (2020)
Semih Sahin, Ling Liu, Wenqi Cao, Qi Zhang, Juhyun Bae, Yanzhao Wu
Memory Abstraction and Optimization for Distributed Executors. CIC (2020)
Yanzhao Wu, Ling Liu, Zhongwei Xie, Juhyun Bae, Ka Ho Chow, Wenqi Wei
Promoting High Diversity Ensemble Learning with EnsembleBench. CoRR (2020)
Ka Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu
Understanding Object Detection Through an Adversarial Lens. ESORICS (2) (2020)
Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu
A Framework for Evaluating Gradient Leakage Attacks in Federated Learning. CoRR (2020)
Ka Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu
TOG: Targeted Adversarial Objectness Gradient Attacks on Real-time Object Detection Systems. CoRR (2020)
Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu
Cross-Layer Strategic Ensemble Defense Against Adversarial Examples. CoRR (2019)
Yanzhao Wu, Ling Liu, Juhyun Bae, Ka Ho Chow, Arun Iyengar, Calton Pu, Wenqi Wei, Lei Yu, Qi Zhang
Demystifying Learning Rate Polices for High Accuracy Training of Deep Neural Networks. CoRR (2019)
Ka Ho Chow, Wenqi Wei, Yanzhao Wu, Ling Liu
Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks. IEEE BigData (2019)
Ling Liu, Wenqi Wei, Ka Ho Chow, Margaret Loper, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu
Deep Neural Network Ensembles against Deception: Ensemble Diversity, Accuracy and Robustness. CoRR (2019)
Ling Liu, Wenqi Cao, Semih Sahin, Qi Zhang, Juhyun Bae, Yanzhao Wu
Memory Disaggregation: Research Problems and Opportunities. ICDCS (2019)
Yanzhao Wu, Ling Liu, Juhyun Bae, Ka Ho Chow, Arun Iyengar, Calton Pu, Wenqi Wei, Lei Yu, Qi Zhang
Demystifying Learning Rate Policies for High Accuracy Training of Deep Neural Networks. IEEE BigData (2019)
Ling Liu, Wenqi Wei, Ka Ho Chow, Margaret Loper, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu
Deep Neural Network Ensembles Against Deception: Ensemble Diversity, Accuracy and Robustness. MASS (2019)
Ka Ho Chow, Wenqi Wei, Yanzhao Wu, Ling Liu
Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks. CoRR (2019)
Ling Liu, Yanzhao Wu, Wenqi Wei, Wenqi Cao, Semih Sahin, Qi Zhang
Benchmarking Deep Learning Frameworks: Design Considerations, Metrics and Beyond. ICDCS (2018)
Pengcheng Wang, Jeffrey Svajlenko, Yanzhao Wu, Yun Xu, Chanchal K. Roy
CCAligner: a token based large-gap clone detector. ICSE (2018)
Yanzhao Wu, Ling Liu, Calton Pu, Wenqi Cao, Semih Sahin, Wenqi Wei, Qi Zhang
A Comparative Measurement Study of Deep Learning as a Service Framework. CoRR (2018)
Yanzhao Wu, Wenqi Cao, Semih Sahin, Ling Liu
Experimental Characterizations and Analysis of Deep Learning Frameworks. IEEE BigData (2018)
Xiaoyang Wen, Chao Wang, Yanzhao Wu, Hong Zhang
The High Resolution Radar Image Simulation of Target on Rough Surface. IGARSS (4) (2008)