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QuadraLib: A Performant Quadratic Neural Network Library for Architecture Optimization and Design Exploration



Zirui Xu , Fuxun Yu , Jinjun Xiong , Xiang Chen


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Fed2: Feature-Aligned Federated Learning



Fuxun Yu , Weishan Zhang , Zhuwei Qin , Zirui Xu , Di Wang , Chenchen Liu , Zhi Tian , Xiang Chen

* Accepted in KDD 2021 

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A Survey of Large-Scale Deep Learning Serving System Optimization: Challenges and Opportunities



Fuxun Yu , Di Wang , Longfei Shangguan , Minjia Zhang , Xulong Tang , Chenchen Liu , Xiang Chen

* 10 pages, 7 figures 

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Supporting Massive DLRM Inference Through Software Defined Memory



Ehsan K. Ardestani , Changkyu Kim , Seung Jae Lee , Luoshang Pan , Valmiki Rampersad , Jens Axboe , Banit Agrawal , Fuxun Yu , Ansha Yu , Trung Le , Hector Yuen , Shishir Juluri , Akshat Nanda , Manoj Wodekar , Dheevatsa Mudigere , Krishnakumar Nair , Maxim Naumov , Chris Peterson , Mikhail Smelyanskiy , Vijay Rao

* 14 pages, 5 figures 

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Third ArchEdge Workshop: Exploring the Design Space of Efficient Deep Neural Networks



Fuxun Yu , Dimitrios Stamoulis , Di Wang , Dimitrios Lymberopoulos , Xiang Chen

* Presented in Third ArchEdge Workshop, Co-located with SEC'2020 

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Heterogeneous Federated Learning



Fuxun Yu , Weishan Zhang , Zhuwei Qin , Zirui Xu , Di Wang , Chenchen Liu , Zhi Tian , Xiang Chen


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AntiDote: Attention-based Dynamic Optimization for Neural Network Runtime Efficiency



Fuxun Yu , Chenchen Liu , Di Wang , Yanzhi Wang , Xiang Chen

* Accepted in DATE'2020 (Best Paper Nomination) 

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Unsupervised Domain Adaptation for Object Detection via Cross-Domain Semi-Supervised Learning



Fuxun Yu , Di Wang , Yinpeng Chen , Nikolaos Karianakis , Pei Yu , Dimitrios Lymberopoulos , Xiang Chen


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