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Lingjiao Chen
Lingjiao Chen
Verified email at stanford.edu
Title
Cited by
Cited by
Year
Draco: Byzantine-resilient distributed training via redundant gradients
L Chen, H Wang, Z Charles, D Papailiopoulos
International Conference on Machine Learning, 903-912, 2018
276*2018
How is chatgpt’s behavior changing over time?
L Chen, M Zaharia, J Zou
arXiv preprint arXiv.2307.09009, 2023
2702023
Towards model-based pricing for machine learning in a data marketplace
L Chen, P Koutris, A Kumar
Proceedings of the 2019 International Conference on Management of Data, 1535 …, 2019
1242019
Towards linear algebra over normalized data
L Chen, A Kumar, J Naughton, JM Patel
Proceedings of the VLDB Endowment 10 (11), 1214-1225, 2016
1022016
Frugalgpt: How to use large language models while reducing cost and improving performance
L Chen, M Zaharia, J Zou
arXiv preprint arXiv:2305.05176, 2023
812023
Dataperf: Benchmarks for data-centric ai development
M Mazumder, C Banbury, X Yao, B Karlaš, WG Rojas, S Diamos, ...
Advances in neural information processing systems, 2023
792023
Enabling and optimizing non-linear feature interactions in factorized linear algebra
S Li, L Chen, A Kumar
Proceedings of the 2019 International Conference on Management of Data, 1571 …, 2019
412019
FrugalML: How to Use ML Prediction APIs more Accurately and Cheaply
L Chen, M Zaharia, JY Zou
Advances in neural information processing systems 33, 10685-10696, 2020
332020
Tuple-oriented compression for large-scale mini-batch stochastic gradient descent
F Li, L Chen, Y Zeng, A Kumar, X Wu, JF Naughton, JM Patel
Proceedings of the 2019 International Conference on Management of Data, 1517 …, 2019
282019
Reinforcing adversarial robustness using model confidence induced by adversarial training
X Wu, U Jang, J Chen, L Chen, S Jha
International conference on machine learning, 5334-5342, 2018
272018
The effect of network width on the performance of large-batch training
L Chen, H Wang, J Zhao, D Papailiopoulos, P Koutris
Advances in neural information processing systems 31, 2018
242018
Distributed user-centric scheduling for visible light communication networks
L Chen, J Wang, J Zhou, DWK Ng, R Schober, C Zhao
Optics Express 24 (14), 15570-15589, 2016
172016
How is ChatGPT’s behavior changing over time?(2023)
L Chen, M Zaharia, J Zou
arXiv preprint arXiv:2307.09009, 0
16
Estimating and explaining model performance when both covariates and labels shift
L Chen, M Zaharia, JY Zou
Advances in Neural Information Processing Systems 35, 11467-11479, 2022
142022
Seal: Interactive tool for systematic error analysis and labeling
N Rajani, W Liang, L Chen, M Mitchell, J Zou
arXiv preprint arXiv:2210.05839, 2022
142022
Efficient online ml api selection for multi-label classification tasks
L Chen, M Zaharia, J Zou
International conference on machine learning, 3716-3746, 2022
14*2022
How Did the model change? Efficiently assessing machine learning API shifts
L Chen, T Cai, M Zaharia, J Zou
arXiv preprint arXiv:2107.14203, 2021
142021
The shift from models to compound ai systems
M Zaharia, O Khattab, L Chen, JQ Davis, H Miller, C Potts, J Zou, ...
Berkeley Artificial Intelligence Research Lab. Available online at: https …, 2024
122024
Monitoring ai-modified content at scale: A case study on the impact of chatgpt on ai conference peer reviews
W Liang, Z Izzo, Y Zhang, H Lepp, H Cao, X Zhao, L Chen, H Ye, S Liu, ...
arXiv preprint arXiv:2403.07183, 2024
102024
When lempel-ziv-welch meets machine learning: A case study of accelerating machine learning using coding
F Li, L Chen, A Kumar, JF Naughton, JM Patel, X Wu
arXiv preprint arXiv:1702.06943, 2017
102017
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