1k citations · 2.3k across the 48 of their papers we have counts for
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Deep Reinforcement Learning for Tropical Air Free-Cooled Data Center Control
Duc Van Le, Rongrong Wang, Yingbo Liu +3
Air free-cooled data centers (DCs) have not existed in the tropical zone due to the unique challenges of year-round high ambient temperature and relative humidity (RH). The increas…
Privacy-preserving Collaborative Learning with Automatic Transformation Search
Wei Gao, Shangwei Guo, Tianwei Zhang +3
Collaborative learning has gained great popularity due to its benefit of data privacy protection: participants can jointly train a Deep Learning model without sharing their trainin…
InferBench: Understanding Deep Learning Inference Serving with an Automatic Benchmarking System
Huaizheng Zhang, Yizheng Huang, Yonggang Wen +2
Deep learning (DL) models have become core modules for many applications. However, deploying these models without careful performance benchmarking that considers both hardware and…
Performance Optimization for Federated Person Re-identification via Benchmark Analysis
Weiming Zhuang, Yonggang Wen, Xuesen Zhang +5
Federated learning is a privacy-preserving machine learning technique that learns a shared model across decentralized clients. It can alleviate privacy concerns of personal re-iden…
Distributed Energy Trading and Scheduling among Microgrids via Multiagent Reinforcement Learning
Guanyu Gao, Yonggang Wen, Xiaohu Wu +1
The development of renewable energy generation empowers microgrids to generate electricity to supply itself and to trade the surplus on energy markets. To minimize the overall cost…
Hysia: Serving DNN-Based Video-to-Retail Applications in Cloud
Huaizheng Zhang, Yuanming Li, Qiming Ai +4
Combining \underline{v}ideo streaming and online \underline{r}etailing (V2R) has been a growing trend recently. In this paper, we provide practitioners and researchers in multimedi…
MLModelCI: An Automatic Cloud Platform for Efficient MLaaS
Huaizheng Zhang, Yuanming Li, Yizheng Huang +3
MLModelCI provides multimedia researchers and developers with a one-stop platform for efficient machine learning (ML) services. The system leverages DevOps techniques to optimize,…
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
Jie Gui, Zhenan Sun, Yonggang Wen +2
Generative adversarial networks (GANs) are a hot research topic recently. GANs have been widely studied since 2014, and a large number of algorithms have been proposed. However, th…
Look, Read and Feel: Benchmarking Ads Understanding with Multimodal Multitask Learning
Huaizheng Zhang, Yong Luo, Qiming Ai +1
Given the massive market of advertising and the sharply increasing online multimedia content (such as videos), it is now fashionable to promote advertisements (ads) together with t…
Kalibre: Knowledge-based Neural Surrogate Model Calibration for Data Center Digital Twins
Ruihang Wang, Xin Zhou, Linsen Dong +5
Computational fluid dynamics (CFD) model has been widely used for prototyping data centers. Evolving it to high-fidelity {\em digital twin} is desirable for the management and oper…