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Daniel Kang
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Scaling up Trustless DNN Inference with Zero-Knowledge Proofs


Oct 17, 2022
Daniel Kang, Tatsunori Hashimoto, Ion Stoica, Yi Sun

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Proof: Accelerating Approximate Aggregation Queries with Expensive Predicates


Jul 28, 2021
Daniel Kang, John Guibas, Peter Bailis, Tatsunori Hashimoto, Yi Sun, Matei Zaharia

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Jointly Optimizing Preprocessing and Inference for DNN-based Visual Analytics


Jul 25, 2020
Daniel Kang, Ankit Mathur, Teja Veeramacheneni, Peter Bailis, Matei Zaharia

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Improved Natural Language Generation via Loss Truncation


May 01, 2020
Daniel Kang, Tatsunori Hashimoto

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* ACL 2020 Camera Ready Submission 
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Model Assertions for Monitoring and Improving ML Models


Mar 11, 2020
Daniel Kang, Deepti Raghavan, Peter Bailis, Matei Zaharia

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* MLSys 2020 
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MLPerf Training Benchmark


Oct 30, 2019
Peter Mattson, Christine Cheng, Cody Coleman, Greg Diamos, Paulius Micikevicius, David Patterson, Hanlin Tang, Gu-Yeon Wei, Peter Bailis, Victor Bittorf, David Brooks, Dehao Chen, Debojyoti Dutta, Udit Gupta, Kim Hazelwood, Andrew Hock, Xinyuan Huang, Bill Jia, Daniel Kang, David Kanter, Naveen Kumar, Jeffery Liao, Guokai Ma, Deepak Narayanan, Tayo Oguntebi, Gennady Pekhimenko, Lillian Pentecost, Vijay Janapa Reddi, Taylor Robie, Tom St. John, Carole-Jean Wu, Lingjie Xu, Cliff Young, Matei Zaharia

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