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ORCIDLingjiao Chen
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Journal Articles
- 2017
[j1]Lingjiao Chen, Arun Kumar, Jeffrey F. Naughton, Jignesh M. Patel:
Towards Linear Algebra over Normalized Data. Proc. VLDB Endow. 10(11): 1214-1225 (2017)
Conference and Workshop Papers
- 2024
- [c19]Sabri Eyuboglu
, Karan Goel, Arjun D. Desai, Lingjiao Chen, Mathew Monfort, Christopher Ré, James Zou:
Model ChangeLists: Characterizing Updates to ML Models. FAccT 2024: 2432-2453 - [c18]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. ICML 2024 - 2023
- [c17]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: 16416-16418 - [c16]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 - 2022
- [c15]Nazneen Rajani, Weixin Liang, Lingjiao Chen, Margaret Mitchell, James Zou:
SEAL: Interactive Tool for Systematic Error Analysis and Labeling. EMNLP (Demos) 2022: 359-370 - [c14]Lingjiao Chen, Matei Zaharia, James Zou:
How Did the Model Change? Efficiently Assessing Machine Learning API Shifts. ICLR 2022 - [c13]Lingjiao Chen, Matei Zaharia, James Zou:
Efficient Online ML API Selection for Multi-Label Classification Tasks. ICML 2022: 3716-3746 - [c12]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 - [c11]Lingjiao Chen, Matei Zaharia, James Y. Zou:
Estimating and Explaining Model Performance When Both Covariates and Labels Shift. NeurIPS 2022 - 2020
- [c10]Lingjiao Chen, Matei Zaharia, James Y. Zou:
FrugalML: How to use ML Prediction APIs more accurately and cheaply. NeurIPS 2020 - 2019
- [c9]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: 1517-1534 - [c8]Lingjiao Chen, Paraschos Koutris, Arun Kumar:
Towards Model-based Pricing for Machine Learning in a Data Marketplace. SIGMOD Conference 2019: 1535-1552 - [c7]Side Li, Lingjiao Chen, Arun Kumar:
Enabling and Optimizing Non-linear Feature Interactions in Factorized Linear Algebra. SIGMOD Conference 2019: 1571-1588 - [c6]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: 1885-1888 - 2018
- [c5]Lingjiao Chen, Hongyi Wang, Zachary Charles, Dimitris S. Papailiopoulos:
DRACO: Byzantine-resilient Distributed Training via Redundant Gradients. ICML 2018: 902-911 - [c4]Xi Wu, Uyeong Jang, Jiefeng Chen, Lingjiao Chen, Somesh Jha:
Reinforcing Adversarial Robustness using Model Confidence Induced by Adversarial Training. ICML 2018: 5330-5338 - [c3]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: 9322-9332 - 2017
- [c2]Lingjiao Chen, Paraschos Koutris, Arun Kumar:
Model-based Pricing: Do Not Pay for More than What You Learn! DEEM@SIGMOD 2017: 1:1-1:4 - 2014
- [c1]Lingjiao Chen, Xinji Chen, Zhigang Peng:
A Novel Public Key Encryption Scheme for Large Image. TrustCom 2014: 955-960
Informal and Other Publications
- 2024
- [i22]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 abs/2403.02419 (2024) - [i21]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 abs/2403.07183 (2024) - [i20]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 abs/2407.16831 (2024) - 2023
- [i19]Lingjiao Chen, Matei Zaharia, James Zou:
FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance. CoRR abs/2305.05176 (2023) - [i18]Lingjiao Chen, Matei Zaharia, James Zou:
How is ChatGPT's behavior changing over time? CoRR abs/2307.09009 (2023) - [i17]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 abs/2311.13712 (2023) - 2022
- [i16]Lingjiao Chen, Matei Zaharia, James Zou:
Estimating and Explaining Model Performance When Both Covariates and Labels Shift. CoRR abs/2209.08436 (2022) - [i15]Lingjiao Chen, Zhihua Jin, Sabri Eyuboglu, Christopher Ré, Matei Zaharia, James Zou:
HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions. CoRR abs/2209.08443 (2022) - [i14]Nazneen Rajani, Weixin Liang, Lingjiao Chen, Meg Mitchell, James Zou:
SEAL : Interactive Tool for Systematic Error Analysis and Labeling. CoRR abs/2210.05839 (2022) - 2021
- [i13]Lingjiao Chen, Matei Zaharia, James Zou:
FrugalMCT: Efficient Online ML API Selection for Multi-Label Classification Tasks. CoRR abs/2102.09127 (2021) - [i12]Lingjiao Chen, Tracy Cai, Matei Zaharia, James Zou:
Did the Model Change? Efficiently Assessing Machine Learning API Shifts. CoRR abs/2107.14203 (2021) - [i11]Lingjiao Chen, Leshang Chen, Hongyi Wang, Susan B. Davidson, Edgar Dobriban:
Solon: Communication-efficient Byzantine-resilient Distributed Training via Redundant Gradients. CoRR abs/2110.01595 (2021) - 2020
- [i10]Lingjiao Chen, Matei Zaharia, James Zou:
FrugalML: How to Use ML Prediction APIs More Accurately and Cheaply. CoRR abs/2006.07512 (2020) - 2018
- [i9]Lingjiao Chen, Jian Gao:
A trust-based recommendation method using network diffusion processes. CoRR abs/1803.08378 (2018) - [i8]Lingjiao Chen, Hongyi Wang, Zachary Charles, Dimitris S. Papailiopoulos:
DRACO: Robust Distributed Training via Redundant Gradients. CoRR abs/1803.09877 (2018) - [i7]Lingjiao Chen, Paraschos Koutris, Arun Kumar:
Model-based Pricing for Machine Learning in a Data Marketplace. CoRR abs/1805.11450 (2018) - [i6]Lingjiao Chen, Hongyi Wang, Jinman Zhao, Dimitris S. Papailiopoulos, Paraschos Koutris:
The Effect of Network Width on the Performance of Large-batch Training. CoRR abs/1806.03791 (2018) - 2017
- [i5]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 abs/1702.06943 (2017) - [i4]Xi Wu, Uyeong Jang, Lingjiao Chen, Somesh Jha:
Manifold Assumption and Defenses Against Adversarial Perturbations. CoRR abs/1711.08001 (2017) - 2016
- [i3]Lingjiao Chen, Arun Kumar, Jeffrey F. Naughton, Jignesh M. Patel:
Towards Linear Algebra over Normalized Data. CoRR abs/1612.07448 (2016) - 2015
- [i2]Lingjiao Chen, Zi-Ke Zhang, Jinhu Liu, Jian Gao, Tao Zhou:
A novel similarity index for better personalized recommendation. CoRR abs/1510.02348 (2015) - 2013
- [i1]Jinhu Liu, Zi-Ke Zhang, Chengcheng Yang, Lingjiao Chen, Chuang Liu, Xueqi Wang:
Gravity Effects on Information Filtering and Network Evolving. CoRR abs/1306.4193 (2013)
Coauthor Index
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