Lingjiao Chen

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 38

Top Topics

Independence Assumption

Machine Learning

Top Venues

SIGMOD Conference

Publications

Lingjiao Chen, Jared Quincy Davis, Boris Hanin, Peter Bailis, Ion Stoica, Matei Zaharia, James Zou
Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems. CoRR (2024)
Sabri Eyuboglu, Karan Goel, Arjun D. Desai, Lingjiao Chen, Mathew Monfort, Christopher Ré, James Zou
Model ChangeLists: Characterizing Updates to ML Models. FAccT (2024)
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
Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews. CoRR (2024)
Jared Quincy Davis, Boris Hanin, Lingjiao Chen, Peter Bailis, Ion Stoica, Matei Zaharia
Networks of Networks: Complexity Class Principles Applied to Compound AI Systems Design. CoRR (2024)
Lingjiao Chen, Bilge Acun, Newsha Ardalani, Yifan Sun, Feiyang Kang, Hanrui Lyu, Yongchan Kwon, Ruoxi Jia, Carole-Jean Wu, Matei Zaharia, James Zou
Data Acquisition: A New Frontier in Data-centric AI. CoRR (2023)
Lingjiao Chen, Matei Zaharia, James Zou
How is ChatGPT's behavior changing over time? CoRR (2023)
Lingjiao Chen, Matei Zaharia, James Zou
FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance. CoRR (2023)
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
DataPerf: Benchmarks for Data-Centric AI Development. NeurIPS (2023)
Lingjiao Chen, Zhihua Jin, Sabri Eyuboglu, Huamin Qu, Christopher Ré, Matei Zaharia, James Zou
HAPI Explorer: Comprehension, Discovery, and Explanation on History of ML APIs. AAAI (2023)
Lingjiao Chen, Matei Zaharia, James Zou
Estimating and Explaining Model Performance When Both Covariates and Labels Shift. CoRR (2022)
Lingjiao Chen, Zhihua Jin, Sabri Eyuboglu, Christopher Ré, Matei Zaharia, James Y. Zou
HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions. NeurIPS (2022)
Lingjiao Chen, Matei Zaharia, James Y. Zou
Estimating and Explaining Model Performance When Both Covariates and Labels Shift. NeurIPS (2022)
Lingjiao Chen, Zhihua Jin, Sabri Eyuboglu, Christopher Ré, Matei Zaharia, James Zou
HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions. CoRR (2022)
Nazneen Rajani, Weixin Liang, Lingjiao Chen, Meg Mitchell, James Zou
SEAL : Interactive Tool for Systematic Error Analysis and Labeling. CoRR (2022)
Nazneen Rajani, Weixin Liang, Lingjiao Chen, Margaret Mitchell, James Zou
SEAL: Interactive Tool for Systematic Error Analysis and Labeling. EMNLP (Demos) (2022)
Lingjiao Chen, Matei Zaharia, James Zou
Efficient Online ML API Selection for Multi-Label Classification Tasks. ICML (2022)
Lingjiao Chen, Matei Zaharia, James Zou
How Did the Model Change? Efficiently Assessing Machine Learning API Shifts. ICLR (2022)
Lingjiao Chen, Tracy Cai, Matei Zaharia, James Zou
Did the Model Change? Efficiently Assessing Machine Learning API Shifts. CoRR (2021)
Lingjiao Chen, Matei Zaharia, James Zou
FrugalMCT: Efficient Online ML API Selection for Multi-Label Classification Tasks. CoRR (2021)
Lingjiao Chen, Leshang Chen, Hongyi Wang, Susan B. Davidson, Edgar Dobriban
Solon: Communication-efficient Byzantine-resilient Distributed Training via Redundant Gradients. CoRR (2021)
Lingjiao Chen, Matei Zaharia, James Y. Zou
FrugalML: How to use ML Prediction APIs more accurately and cheaply. NeurIPS (2020)
Lingjiao Chen, Matei Zaharia, James Zou
FrugalML: How to Use ML Prediction APIs More Accurately and Cheaply. CoRR (2020)
Side Li, Lingjiao Chen, Arun Kumar
Enabling and Optimizing Non-linear Feature Interactions in Factorized Linear Algebra. SIGMOD Conference (2019)
Fengan Li, Lingjiao Chen, Yijing Zeng, Arun Kumar, Xi Wu, Jeffrey F. Naughton, Jignesh M. Patel
Tuple-oriented Compression for Large-scale Mini-batch Stochastic Gradient Descent. SIGMOD Conference (2019)
Lingjiao Chen, Paraschos Koutris, Arun Kumar
Towards Model-based Pricing for Machine Learning in a Data Marketplace. SIGMOD Conference (2019)
Lingjiao Chen, Hongyi Wang, Leshang Chen, Paraschos Koutris, Arun Kumar
Demonstration of Nimbus: Model-based Pricing for Machine Learning in a Data Marketplace. SIGMOD Conference (2019)
Lingjiao Chen, Hongyi Wang, Zachary B. Charles, Dimitris S. Papailiopoulos
DRACO: Byzantine-resilient Distributed Training via Redundant Gradients. ICML (2018)
Lingjiao Chen, Hongyi Wang, Zachary B. Charles, Dimitris S. Papailiopoulos
DRACO: Robust Distributed Training via Redundant Gradients. CoRR (2018)
Lingjiao Chen, Jian Gao
A trust-based recommendation method using network diffusion processes. CoRR (2018)
Lingjiao Chen, Hongyi Wang, Jinman Zhao, Dimitris S. Papailiopoulos, Paraschos Koutris
The Effect of Network Width on the Performance of Large-batch Training. NeurIPS (2018)
Xi Wu, Uyeong Jang, Jiefeng Chen, Lingjiao Chen, Somesh Jha
Reinforcing Adversarial Robustness using Model Confidence Induced by Adversarial Training. ICML (2018)
Lingjiao Chen, Paraschos Koutris, Arun Kumar
Model-based Pricing for Machine Learning in a Data Marketplace. CoRR (2018)
Lingjiao Chen, Hongyi Wang, Jinman Zhao, Dimitris S. Papailiopoulos, Paraschos Koutris
The Effect of Network Width on the Performance of Large-batch Training. CoRR (2018)
Xi Wu, Uyeong Jang, Lingjiao Chen, Somesh Jha
Manifold Assumption and Defenses Against Adversarial Perturbations. CoRR (2017)
Lingjiao Chen, Arun Kumar, Jeffrey F. Naughton, Jignesh M. Patel
Towards Linear Algebra over Normalized Data. Proc. VLDB Endow. 10 (11) (2017)
Fengan Li, Lingjiao Chen, Arun Kumar, Jeffrey F. Naughton, Jignesh M. Patel, Xi Wu
When Lempel-Ziv-Welch Meets Machine Learning: A Case Study of Accelerating Machine Learning using Coding. CoRR (2017)
Lingjiao Chen, Paraschos Koutris, Arun Kumar
Model-based Pricing: Do Not Pay for More than What You Learn! DEEM@SIGMOD (2017)
Lingjiao Chen, Arun Kumar, Jeffrey F. Naughton, Jignesh M. Patel
Towards Linear Algebra over Normalized Data. CoRR (2016)
Lingjiao Chen, Zi-Ke Zhang, Jinhu Liu, Jian Gao, Tao Zhou
A novel similarity index for better personalized recommendation. CoRR (2015)
Lingjiao Chen, Xinji Chen, Zhigang Peng
A Novel Public Key Encryption Scheme for Large Image. TrustCom (2014)
Jinhu Liu, Zi-Ke Zhang, Chengcheng Yang, Lingjiao Chen, Chuang Liu, Xueqi Wang
Gravity Effects on Information Filtering and Network Evolving. CoRR (2013)