Lingjiao Chen - RankMe

56 papers A* 12B 1Journal 33Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	The Price Reversal Phenomenon: When Cheaper Reasoning Models End Up Costing More. CoRR Lingjiao Chen, Chi Zhang, Yeye He, Ion Stoica, Matei Zaharia, James Zou
2026	J	`jnl`	ZEBRAARENA: A Diagnostic Simulation Environment for Studying Reasoning-Action Coupling in Tool-Augmented LLMs. CoRR Wanjia Zhao, Ludwig Schmidt, James Zou, Vidhisha Balachandran, Lingjiao Chen
2025	J	`jnl`	BARE: Combining Base and Instruction-Tuned Language Models for Better Synthetic Data Generation. CoRR Alan Zhu, Parth Asawa, Jared Quincy Davis, Lingjiao Chen, Boris Hanin, Ion Stoica, Joseph E. Gonzalez, Matei Zaharia
2025	J	`jnl`	Data Acquisition: A New Frontier in Data-centric AI. J. Data-centric Mach. Learn. Res. Lingjiao Chen, Bilge Acun, Newsha Ardalani, Yifan Sun, Feiyang Kang, Hanrui Lyu, Yongchan Kwon, Ruoxi Jia, Carole-Jean Wu, Matei Zaharia, James Zou
2025	—	`conf`	Gating-TinyLLaVA: A Compact Multimodal Model with Dual Visual Encoders. ICONIP (4) Xuanang Zhang, Yuezhong Wu, Lingjiao Chen, Xi Chen
2025	J	`jnl`	Inference-Time Scaling for Complex Tasks: Where We Stand and What Lies Ahead. CoRR Vidhisha Balachandran, Jingya Chen, Lingjiao Chen, Shivam Garg, Neel Joshi, Yash Lara, John Langford, Besmira Nushi, Vibhav Vineet, Yue Wu, Safoora Yousefi
2025	J	`jnl`	MMTU: A Massive Multi-Task Table Understanding and Reasoning Benchmark. CoRR Junjie Xing, Yeye He, Mengyu Zhou, Haoyu Dong, Shi Han, Lingjiao Chen, Dongmei Zhang, Surajit Chaudhuri, H. V. Jagadish
2025	J	`jnl`	Optimizing Model Selection for Compound AI Systems. CoRR Lingjiao Chen, Jared Quincy Davis, Boris Hanin, Peter Bailis, Matei Zaharia, James Zou, Ion Stoica
2025	J	`jnl`	Phi-4-reasoning Technical Report. CoRR Marah I Abdin, Sahaj Agarwal, Ahmed Awadallah, Vidhisha Balachandran, Harkirat S. Behl, Lingjiao Chen, Gustavo de Rosa, Suriya Gunasekar, Mojan Javaheripi, Neel Joshi, Piero Kauffmann, Yash Lara, Caio César Teodoro Mendes, Arindam Mitra, Besmira Nushi, Dimitris Papailiopoulos, Olli Saarikivi, Shital Shah, Vaishnavi Shrivastava, Vibhav Vineet, Yue Wu, Safoora Yousefi, Guoqing Zheng
2025	—	`conf`	Short-Term Wind Power Forecasting Method Based on Improved iTransformer. QRS Companion Zhilong An, Yuezhong Wu, Lingjiao Chen, Dawei He
2025	—	`conf`	Small Traffic Sign Detection with Context-Aware Feature and Task Calibration. PRCV (11) Jing Zeng, Yuezhong Wu, Lingjiao Chen, Xi Chen, Lei Jiang, Lanjun Wan
2024	J	`jnl`	Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems. CoRR Lingjiao Chen, Jared Quincy Davis, Boris Hanin, Peter Bailis, Ion Stoica, Matei Zaharia, James Zou
2024	A*	`conf`	Are More LLM Calls All You Need? Towards the Scaling Properties of Compound AI Systems. NeurIPS Lingjiao Chen, Jared Quincy Davis, Boris Hanin, Peter Bailis, Ion Stoica, Matei A. Zaharia, James Y. Zou
2024	J	`jnl`	FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance. Trans. Mach. Learn. Res. Lingjiao Chen, Matei Zaharia, James Zou
2024	—	`conf`	Model ChangeLists: Characterizing Updates to ML Models. FAccT Sabri Eyuboglu, Karan Goel, Arjun Desai, Lingjiao Chen, Mathew Monfort, Christopher Ré, James Zou
2024	A*	`conf`	Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews. ICML 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
2024	J	`jnl`	Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews. CoRR 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
2024	J	`jnl`	Networks of Networks: Complexity Class Principles Applied to Compound AI Systems Design. CoRR Jared Quincy Davis, Boris Hanin, Lingjiao Chen, Peter Bailis, Ion Stoica, Matei Zaharia
2024	J	`jnl`	Specifications: The missing link to making the development of LLM systems an engineering discipline. CoRR 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
2023	J	`jnl`	Data Acquisition: A New Frontier in Data-centric AI. CoRR Lingjiao Chen, Bilge Acun, Newsha Ardalani, Yifan Sun, Feiyang Kang, Hanrui Lyu, Yongchan Kwon, Ruoxi Jia, Carole-Jean Wu, Matei Zaharia, James Zou
2023	A*	`conf`	DataPerf: Benchmarks for Data-Centric AI Development. NeurIPS 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
2023	J	`jnl`	FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance. CoRR Lingjiao Chen, Matei Zaharia, James Zou
2023	A*	`conf`	HAPI Explorer: Comprehension, Discovery, and Explanation on History of ML APIs. AAAI Lingjiao Chen, Zhihua Jin, Sabri Eyuboglu, Huamin Qu, Christopher Ré, Matei Zaharia, James Zou
2023	J	`jnl`	How is ChatGPT's behavior changing over time? CoRR Lingjiao Chen, Matei Zaharia, James Zou
2022	A*	`conf`	Efficient Online ML API Selection for Multi-Label Classification Tasks. ICML Lingjiao Chen, Matei Zaharia, James Zou
2022	A*	`conf`	Estimating and Explaining Model Performance When Both Covariates and Labels Shift. NeurIPS Lingjiao Chen, Matei Zaharia, James Y. Zou
2022	J	`jnl`	Estimating and Explaining Model Performance When Both Covariates and Labels Shift. CoRR Lingjiao Chen, Matei Zaharia, James Zou
2022	A*	`conf`	HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions. NeurIPS Lingjiao Chen, Zhihua Jin, Sabri Eyuboglu, Christopher Ré, Matei Zaharia, James Y. Zou
2022	J	`jnl`	HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions. CoRR Lingjiao Chen, Zhihua Jin, Sabri Eyuboglu, Christopher Ré, Matei Zaharia, James Zou
2022	A*	`conf`	How Did the Model Change? Efficiently Assessing Machine Learning API Shifts. ICLR Lingjiao Chen, Matei Zaharia, James Zou
2022	J	`jnl`	SEAL : Interactive Tool for Systematic Error Analysis and Labeling. CoRR Nazneen Rajani, Weixin Liang, Lingjiao Chen, Meg Mitchell, James Zou
2022	—	`conf`	SEAL: Interactive Tool for Systematic Error Analysis and Labeling. EMNLP (Demos) Nazneen Rajani, Weixin Liang, Lingjiao Chen, Margaret Mitchell, James Zou
2021	J	`jnl`	Did the Model Change? Efficiently Assessing Machine Learning API Shifts. CoRR Lingjiao Chen, Tracy Cai, Matei Zaharia, James Zou
2021	J	`jnl`	FrugalMCT: Efficient Online ML API Selection for Multi-Label Classification Tasks. CoRR Lingjiao Chen, Matei Zaharia, James Zou
2021	J	`jnl`	Solon: Communication-efficient Byzantine-resilient Distributed Training via Redundant Gradients. CoRR Lingjiao Chen, Leshang Chen, Hongyi Wang, Susan B. Davidson, Edgar Dobriban
2020	J	`jnl`	FrugalML: How to Use ML Prediction APIs More Accurately and Cheaply. CoRR Lingjiao Chen, Matei Zaharia, James Zou
2020	A*	`conf`	FrugalML: How to use ML Prediction APIs more accurately and cheaply. NeurIPS Lingjiao Chen, Matei Zaharia, James Y. Zou
2019	—	`conf`	Demonstration of Nimbus: Model-based Pricing for Machine Learning in a Data Marketplace. SIGMOD Conference Lingjiao Chen, Hongyi Wang, Leshang Chen, Paraschos Koutris, Arun Kumar
2019	—	`conf`	Enabling and Optimizing Non-linear Feature Interactions in Factorized Linear Algebra. SIGMOD Conference Side Li, Lingjiao Chen, Arun Kumar
2019	—	`conf`	Towards Model-based Pricing for Machine Learning in a Data Marketplace. SIGMOD Conference Lingjiao Chen, Paraschos Koutris, Arun Kumar
2019	—	`conf`	Tuple-oriented Compression for Large-scale Mini-batch Stochastic Gradient Descent. SIGMOD Conference Fengan Li, Lingjiao Chen, Yijing Zeng, Arun Kumar, Xi Wu, Jeffrey F. Naughton, Jignesh M. Patel
2018	J	`jnl`	A trust-based recommendation method using network diffusion processes. CoRR Lingjiao Chen, Jian Gao
2018	A*	`conf`	DRACO: Byzantine-resilient Distributed Training via Redundant Gradients. ICML Lingjiao Chen, Hongyi Wang, Zachary Charles, Dimitris S. Papailiopoulos
2018	J	`jnl`	DRACO: Robust Distributed Training via Redundant Gradients. CoRR Lingjiao Chen, Hongyi Wang, Zachary Charles, Dimitris S. Papailiopoulos
2018	J	`jnl`	Model-based Pricing for Machine Learning in a Data Marketplace. CoRR Lingjiao Chen, Paraschos Koutris, Arun Kumar
2018	A*	`conf`	Reinforcing Adversarial Robustness using Model Confidence Induced by Adversarial Training. ICML Xi Wu, Uyeong Jang, Jiefeng Chen, Lingjiao Chen, Somesh Jha
2018	A*	`conf`	The Effect of Network Width on the Performance of Large-batch Training. NeurIPS Lingjiao Chen, Hongyi Wang, Jinman Zhao, Dimitris S. Papailiopoulos, Paraschos Koutris
2018	J	`jnl`	The Effect of Network Width on the Performance of Large-batch Training. CoRR Lingjiao Chen, Hongyi Wang, Jinman Zhao, Dimitris S. Papailiopoulos, Paraschos Koutris
2017	J	`jnl`	Manifold Assumption and Defenses Against Adversarial Perturbations. CoRR Xi Wu, Uyeong Jang, Lingjiao Chen, Somesh Jha
2017	—	`conf`	Model-based Pricing: Do Not Pay for More than What You Learn! DEEM@SIGMOD Lingjiao Chen, Paraschos Koutris, Arun Kumar
2017	J	`jnl`	Towards Linear Algebra over Normalized Data. Proc. VLDB Endow. Lingjiao Chen, Arun Kumar, Jeffrey F. Naughton, Jignesh M. Patel
2017	J	`jnl`	When Lempel-Ziv-Welch Meets Machine Learning: A Case Study of Accelerating Machine Learning using Coding. CoRR Fengan Li, Lingjiao Chen, Arun Kumar, Jeffrey F. Naughton, Jignesh M. Patel, Xi Wu
2016	J	`jnl`	Towards Linear Algebra over Normalized Data. CoRR Lingjiao Chen, Arun Kumar, Jeffrey F. Naughton, Jignesh M. Patel
2015	J	`jnl`	A novel similarity index for better personalized recommendation. CoRR Lingjiao Chen, Zi-Ke Zhang, Jinhu Liu, Jian Gao, Tao Zhou
2014	B	`conf`	A Novel Public Key Encryption Scheme for Large Image. TrustCom Lingjiao Chen, Xinji Chen, Zhigang Peng
2013	J	`jnl`	Gravity Effects on Information Filtering and Network Evolving. CoRR Jinhu Liu, Zi-Ke Zhang, Chengcheng Yang, Lingjiao Chen, Chuang Liu, Xueqi Wang