Daniel Kang
Daniel Kang
Verified email at stanford.edu - Homepage
Cited by
Cited by
NoScope: Optimizing Neural Network Queries over Video at Scale
D Kang, J Emmons, F Abuzaid, P Bailis, M Zaharia
Proceedings of the VLDB Endowment 10 (11), 1586-1597, 2017
DAWNBench: An End-to-End Deep Learning Benchmark and Competition
C Coleman, D Narayanan, D Kang, T Zhao, J Zhang, L Nardi, P Bailis, ...
NIPS ML Systems Workshop, 2017
MLPerf Training Benchmark
P Mattson, C Cheng, C Coleman, G Diamos, P Micikevicius, D Patterson, ...
arXiv preprint arXiv:1910.01500, 2019
Analysis of dawnbench, a time-to-accuracy machine learning performance benchmark
C Coleman, D Kang, D Narayanan, L Nardi, T Zhao, J Zhang, P Bailis, ...
ACM SIGOPS Operating Systems Review 53 (1), 14-25, 2019
BlazeIt: Optimizing Declarative Aggregation and Limit Queries for Neural Network-based Video Analytics
D Kang, P Bailis, M Zaharia
PVLDB 13 (4), 2019
Testing Robustness Against Unforeseen Adversaries
D Kang, Y Sun, D Hendrycks, T Brown, J Steinhardt
arXiv preprint arXiv:1908.08016, 2019
Model Assertions for Monitoring and Improving ML Models
D Kang, D Raghavan, P Bailis, M Zaharia
MLSys, 2020
Network Offloading Policies for Cloud Robotics: a Learning-based Approach
S Chinchali, A Sharma, J Harrison, A Elhafsi, D Kang, E Pergament, ...
arXiv preprint arXiv:1902.05703, 2019
GERV: a statistical method for generative evaluation of regulatory variants for transcription factor binding
H Zeng, T Hashimoto, DD Kang, DK Gifford
Bioinformatics 32 (4), 490-496, 2016
LIT: Learned Intermediate Representation Training for Model Compression
A Koratana, D Kang, P Bailis, M Zaharia
International Conference on Machine Learning, 3509-3518, 2019
Challenges and Opportunities in DNN-Based Video Analytics: A Demonstration of the BlazeIt Video Query Engine
D Kang, P Bailis, M Zaharia
CIDR, 2019
Improved Natural Language Generation via Loss Truncation
D Kang, T Hashimoto
ACL, 2020
A synergistic DNA logic predicts genome-wide chromatin accessibility
T Hashimoto, RI Sherwood, DD Kang, N Rajagopal, AA Barkal, H Zeng, ...
Genome research 26 (10), 1430-1440, 2016
Transfer of Adversarial Robustness Between Perturbation Types
D Kang, Y Sun, T Brown, D Hendrycks, J Steinhardt
arXiv preprint arXiv:1905.01034, 2019
Selection of transform size in video coding
RS Bultje, D Kang
US Patent 9,219,915, 2015
Jointly Optimizing Preprocessing and Inference for DNN-based Visual Analytics
D Kang, A Mathur, T Veeramacheneni, P Bailis, M Zaharia
arXiv preprint arXiv:2007.13005, 2020
Willump: A Statistically-Aware End-to-end Optimizer for Machine Learning Inference
P Kraft, D Kang, D Narayanan, S Palkar, P Bailis, M Zaharia
MLSys, 2020
Nontrapping surfaces of revolution with long living resonances
KR Datchev, DD Kang, AP Kessler
arXiv preprint arXiv:1305.2434, 2013
Approximate Selection with Guarantees using Proxies
D Kang, E Gan, P Bailis, T Hashimoto, M Zaharia
PVLDB, 2020
Channel capacity behavior for simple models of optical fiber communication
IS Moskowitz, P Cotae, DD Kang
2010 8th International Conference on Communications, 199-202, 2010
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