Lingjiao Chen

According to our database, Lingjiao Chen authored at least 37 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Specifications: The missing link to making the development of LLM systems an engineering discipline.

Ion Stoica, Matei Zaharia, Joseph Gonzalez, Ken Goldberg, Koushik Sen, Hao Zhang, Anastasios Angelopoulos, Shishir G. Patil, Lingjiao Chen, Wei-Lin Chiang, Jared Quincy Davis

CoRR, 2024

Networks of Networks: Complexity Class Principles Applied to Compound AI Systems Design.

Jared Quincy Davis, Boris Hanin, Lingjiao Chen, Peter Bailis, Ion Stoica, Matei Zaharia

CoRR, 2024

Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems.

Lingjiao Chen, Jared Quincy Davis, Boris Hanin, Peter Bailis, Ion Stoica, Matei Zaharia, James Zou

CoRR, 2024

Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews.

Weixin Liang, Zachary Izzo, Yaohui Zhang, Haley Lepp, Hancheng Cao, Xuandong Zhao, Lingjiao Chen, Haotian Ye, Sheng Liu, Zhi Huang, Daniel A. McFarland, James Y. Zou

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Model ChangeLists: Characterizing Updates to ML Models.

Sabri Eyuboglu, Karan Goel, Arjun D. Desai, Lingjiao Chen, Mathew Monfort, Christopher Ré, James Zou

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

2023

Data Acquisition: A New Frontier in Data-centric AI.

Lingjiao Chen, Bilge Acun, Newsha Ardalani, Yifan Sun, Feiyang Kang, Hanrui Lyu, Yongchan Kwon, Ruoxi Jia, Carole-Jean Wu, Matei Zaharia, James Zou

CoRR, 2023

How is ChatGPT's behavior changing over time?

Lingjiao Chen, Matei Zaharia, James Zou

CoRR, 2023

FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance.

Lingjiao Chen, Matei Zaharia, James Zou

CoRR, 2023

DataPerf: Benchmarks for Data-Centric AI Development.

Mark Mazumder, Colby R. Banbury, Xiaozhe Yao, Bojan Karlas, William Gaviria Rojas, Sudnya Frederick Diamos, Greg Diamos, Lynn He, Alicia Parrish, Hannah Rose Kirk, Jessica Quaye, Charvi Rastogi, Douwe Kiela, David Jurado, David Kanter, Rafael Mosquera, Will Cukierski, Juan Ciro, Lora Aroyo, Bilge Acun, Lingjiao Chen, Mehul Raje, Max Bartolo, Evan Sabri Eyuboglu, Amirata Ghorbani, Emmett D. Goodman, Addison Howard, Oana Inel, Tariq Kane, Christine R. Kirkpatrick, D. Sculley, Tzu-Sheng Kuo, Jonas W. Mueller, Tristan Thrush, Joaquin Vanschoren, Margaret Warren, Adina Williams, Serena Yeung, Newsha Ardalani, Praveen K. Paritosh, Ce Zhang, James Y. Zou, Carole-Jean Wu, Cody Coleman, Andrew Y. Ng, Peter Mattson, Vijay Janapa Reddi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

HAPI Explorer: Comprehension, Discovery, and Explanation on History of ML APIs.

Lingjiao Chen, Zhihua Jin, Sabri Eyuboglu, Huamin Qu, Christopher Ré, Matei Zaharia, James Zou

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

SEAL : Interactive Tool for Systematic Error Analysis and Labeling.

Nazneen Rajani, Weixin Liang, Lingjiao Chen, Meg Mitchell, James Zou

CoRR, 2022

Estimating and Explaining Model Performance When Both Covariates and Labels Shift.

Lingjiao Chen, Matei Zaharia, James Y. Zou

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions.

Lingjiao Chen, Zhihua Jin, Sabri Eyuboglu, Christopher Ré, Matei Zaharia, James Y. Zou

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Efficient Online ML API Selection for Multi-Label Classification Tasks.

Lingjiao Chen, Matei Zaharia, James Zou

Proceedings of the International Conference on Machine Learning, 2022

How Did the Model Change? Efficiently Assessing Machine Learning API Shifts.

Lingjiao Chen, Matei Zaharia, James Zou

Proceedings of the Tenth International Conference on Learning Representations, 2022

SEAL: Interactive Tool for Systematic Error Analysis and Labeling.

Nazneen Rajani, Weixin Liang, Lingjiao Chen, Margaret Mitchell, James Zou

Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Solon: Communication-efficient Byzantine-resilient Distributed Training via Redundant Gradients.

Lingjiao Chen, Leshang Chen, Hongyi Wang, Susan B. Davidson, Edgar Dobriban

CoRR, 2021

Did the Model Change? Efficiently Assessing Machine Learning API Shifts.

Lingjiao Chen, Tracy Cai, Matei Zaharia, James Zou

CoRR, 2021

FrugalMCT: Efficient Online ML API Selection for Multi-Label Classification Tasks.

Lingjiao Chen, Matei Zaharia, James Zou

CoRR, 2021

2020

FrugalML: How to use ML Prediction APIs more accurately and cheaply.

Lingjiao Chen, Matei Zaharia, James Y. Zou

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Tuple-oriented Compression for Large-scale Mini-batch Stochastic Gradient Descent.

Fengan Li, Lingjiao Chen, Yijing Zeng, Arun Kumar, Xi Wu, Jeffrey F. Naughton, Jignesh M. Patel

Proceedings of the 2019 International Conference on Management of Data, 2019

Enabling and Optimizing Non-linear Feature Interactions in Factorized Linear Algebra.

Side Li, Lingjiao Chen, Arun Kumar

Proceedings of the 2019 International Conference on Management of Data, 2019

Demonstration of Nimbus: Model-based Pricing for Machine Learning in a Data Marketplace.

Lingjiao Chen, Hongyi Wang, Leshang Chen, Paraschos Koutris, Arun Kumar

Proceedings of the 2019 International Conference on Management of Data, 2019

Towards Model-based Pricing for Machine Learning in a Data Marketplace.

Lingjiao Chen, Paraschos Koutris, Arun Kumar

Proceedings of the 2019 International Conference on Management of Data, 2019

2018

Model-based Pricing for Machine Learning in a Data Marketplace.

Lingjiao Chen, Paraschos Koutris, Arun Kumar

CoRR, 2018

DRACO: Robust Distributed Training via Redundant Gradients.

Lingjiao Chen, Hongyi Wang, Zachary Charles, Dimitris S. Papailiopoulos

CoRR, 2018

A trust-based recommendation method using network diffusion processes.

Lingjiao Chen, Jian Gao

CoRR, 2018

The Effect of Network Width on the Performance of Large-batch Training.

Lingjiao Chen, Hongyi Wang, Jinman Zhao, Dimitris S. Papailiopoulos, Paraschos Koutris

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

DRACO: Byzantine-resilient Distributed Training via Redundant Gradients.

Lingjiao Chen, Hongyi Wang, Zachary Charles, Dimitris S. Papailiopoulos

Proceedings of the 35th International Conference on Machine Learning, 2018

Reinforcing Adversarial Robustness using Model Confidence Induced by Adversarial Training.

Xi Wu, Uyeong Jang, Jiefeng Chen, Lingjiao Chen, Somesh Jha

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Towards Linear Algebra over Normalized Data.

Lingjiao Chen, Arun Kumar, Jeffrey F. Naughton, Jignesh M. Patel

Proc. VLDB Endow., 2017

Manifold Assumption and Defenses Against Adversarial Perturbations.

Xi Wu, Uyeong Jang, Lingjiao Chen, Somesh Jha

CoRR, 2017

When Lempel-Ziv-Welch Meets Machine Learning: A Case Study of Accelerating Machine Learning using Coding.

Fengan Li, Lingjiao Chen, Arun Kumar, Jeffrey F. Naughton, Jignesh M. Patel, Xi Wu

CoRR, 2017

Model-based Pricing: Do Not Pay for More than What You Learn!

Lingjiao Chen, Paraschos Koutris, Arun Kumar

Proceedings of the 1st Workshop on Data Management for End-to-End Machine Learning, 2017

2015

A novel similarity index for better personalized recommendation.

Lingjiao Chen, Zi-Ke Zhang, Jinhu Liu, Jian Gao, Tao Zhou

CoRR, 2015

2014

A Novel Public Key Encryption Scheme for Large Image.

Lingjiao Chen, Xinji Chen, Zhigang Peng

Proceedings of the 13th IEEE International Conference on Trust, 2014

2013

Gravity Effects on Information Filtering and Network Evolving.

Jinhu Liu, Zi-Ke Zhang, Chengcheng Yang, Lingjiao Chen, Chuang Liu, Xueqi Wang

CoRR, 2013