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Yanzhao Wu
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EENet: Learning to Early Exit for Adaptive Inference


Jan 15, 2023
Fatih Ilhan, Ling Liu, Ka-Ho Chow, Wenqi Wei, Yanzhao Wu, Myungjin Lee, Ramana Kompella, Hugo Latapie, Gaowen Liu

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Selecting and Composing Learning Rate Policies for Deep Neural Networks


Oct 24, 2022
Yanzhao Wu, Ling Liu

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* To appear on ACM Transactions on Intelligent Systems and Technology. The source codes: LRBench (https://github.com/git-disl/LRBench) 
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Learning Text-Image Joint Embedding for Efficient Cross-Modal Retrieval with Deep Feature Engineering


Oct 22, 2021
Zhongwei Xie, Ling Liu, Yanzhao Wu, Luo Zhong, Lin Li

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* accepted by ACM Transactions on Information Systems(TOIS). arXiv admin note: text overlap with arXiv:2108.00705, arXiv:2108.03788 
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Learning TFIDF Enhanced Joint Embedding for Recipe-Image Cross-Modal Retrieval Service


Aug 02, 2021
Zhongwei Xie, Ling Liu, Yanzhao Wu, Lin Li, Luo Zhong

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* accepted by IEEE Transactions on Services Computing 
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Parallel Detection for Efficient Video Analytics at the Edge


Jul 27, 2021
Yanzhao Wu, Ling Liu, Ramana Kompella

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Gradient-Leakage Resilient Federated Learning


Jul 02, 2021
Wenqi Wei, Ling Liu, Yanzhao Wu, Gong Su, Arun Iyengar

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Promoting High Diversity Ensemble Learning with EnsembleBench


Oct 20, 2020
Yanzhao Wu, Ling Liu, Zhongwei Xie, Juhyun Bae, Ka-Ho Chow, Wenqi Wei

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Understanding Object Detection Through An Adversarial Lens


Jul 11, 2020
Ka-Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu

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A Framework for Evaluating Gradient Leakage Attacks in Federated Learning


Apr 23, 2020
Wenqi Wei, Ling Liu, Margaret Loper, Ka-Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu

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


Apr 09, 2020
Ka-Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu

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