Publications

(2021). Fast and Flexible Human Pose Estimation with HyperPose. In ACM Multimedia (Open-source Software Competition).

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(2021). Efficient Reinforcement Learning Development with RLzoo. In ACM Multimedia (Open-source Software Competition).

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(2021). Move Fast and Meet Deadlines: Fine-grained Real-time Stream Processing with Cameo. In USENIX NSDI.

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(2020). KungFu: Making Training in Distributed Machine Learning Adaptive. In USENIX OSDI.

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(2020). Spotnik: Designing Distributed Machine Learning for Transient Cloud Resources. In USENIX HotCloud.

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(2019). CrossBow: Scaling Deep Learning with Small Batch Sizes on Multi-GPU Servers. In VLDB.

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(2019). Taming Hyper-parameters in Deep Learning Systems. In ACM SIGOPS Operating Systems Review (Invited Paper).

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(2018). Chi: A Scalable and Programmable Control Plane for Distributed Stream Processing Systems. In VLDB.

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(2017). Emu: Rapid Prototyping of Networking Services. In USENIX ATC.

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(2017). TensorLayer: A Versatile Library for Efficient Deep Learning Development. In ACM Multimedia (Best Open-source Software Award).

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(2016). Flick: Developing and Running Application-specific Network Services . In USENIX ATC.

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(2016). Towards a Network Marketplace in a Cloud. In USENIX HotCloud.

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(2015). Optimizing Network Performance in Distributed Machine Learning. In USENIX HotCloud.

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(2014). NetAgg: Using Middleboxes for Application-specific On-path Aggregation in Data Centres. In ACM CoNEXT (Best Paper Finalist).

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(2011). Load Balanced Rendezvous Data Collection in Wireless Sensor Networks. In IEEE MASS (Best Paper Finalist).

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