Jing Nathan Yan

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 20

Top Topics

Diffusion Model

Statistical Modeling

Exploratory Data Analysis

Top Venues

SIGMOD Conference

Publications

Yue Yu, Jiaming Shen, Tianqi Liu, Zhen Qin, Jing Nathan Yan, Jialu Liu, Chao Zhang, Michael Bendersky
Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning. ACL (1) (2024)
Junxiong Wang, Tushaar Gangavarapu, Jing Nathan Yan, Alexander M. Rush
MambaByte: Token-free Selective State Space Model. CoRR (2024)
Jing Nathan Yan, Tianqi Liu, Justin T. Chiu, Jiaming Shen, Zhen Qin, Yue Yu, Charumathi Lakshmanan, Yair Kurzion, Alexander M. Rush, Jialu Liu, Michael Bendersky
Predicting Text Preference Via Structured Comparative Reasoning. ACL (1) (2024)
Qi Sun, Zhiyang Guo, Ziyu Wan, Jing Nathan Yan, Shengming Yin, Wengang Zhou, Jing Liao, Houqiang Li
EG4D: Explicit Generation of 4D Object without Score Distillation. CoRR (2024)
Wang-Chiew Tan, Jane Dwivedi-Yu, Yuliang Li, Lambert Mathias, Marzieh Saeidi, Jing Nathan Yan, Alon Y. Halevy
TimelineQA: A Benchmark for Question Answering over Timelines. CoRR (2023)
Wang-Chiew Tan, Jane Dwivedi-Yu, Yuliang Li, Lambert Mathias, Marzieh Saeidi, Jing Nathan Yan, Alon Y. Halevy
TimelineQA: A Benchmark for Question Answering over Timelines. ACL (Findings) (2023)
Jing Nathan Yan, Jiatao Gu, Alexander M. Rush
Diffusion Models Without Attention. CoRR (2023)
Jing Nathan Yan, Tianqi Liu, Justin T. Chiu, Jiaming Shen, Zhen Qin, Yue Yu, Yao Zhao, Charu Lakshmanan, Yair Kurzion, Alexander M. Rush, Jialu Liu, Michael Bendersky
On What Basis? Predicting Text Preference Via Structured Comparative Reasoning. CoRR (2023)
Yue Yu, Jiaming Shen, Tianqi Liu, Zhen Qin, Jing Nathan Yan, Jialu Liu, Chao Zhang, Michael Bendersky
Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning. CoRR (2023)
Junxiong Wang, Jing Nathan Yan, Albert Gu, Alexander M. Rush
Pretraining Without Attention. EMNLP (Findings) (2023)
Hanyuan Zhang, Siqiang Luo, Jieming Shi, Jing Nathan Yan, Weiwei Sun
Example-based Spatial Search at Scale. ICDE (2022)
Junxiong Wang, Jing Nathan Yan, Albert Gu, Alexander M. Rush
Pretraining Without Attention. CoRR (2022)
Jinglin Peng, Weiyuan Wu, Jing Nathan Yan, Danrui Qi, Jeffrey M. Rzeszotarski, Jiannan Wang
User Interfaces for Exploratory Data Analysis: A Survey of Open-Source and Commercial Tools. IEEE Data Eng. Bull. 45 (3) (2022)
Jinglin Peng, Weiyuan Wu, Brandon Lockhart, Song Bian, Jing Nathan Yan, Linghao Xu, Zhixuan Chi, Jeffrey M. Rzeszotarski, Jiannan Wang
DataPrep.EDA: Task-Centric Exploratory Data Analysis for Statistical Modeling in Python. SIGMOD Conference (2021)
Jinglin Peng, Weiyuan Wu, Brandon Lockhart, Song Bian, Jing Nathan Yan, Linghao Xu, Zhixuan Chi, Jeffrey M. Rzeszotarski, Jiannan Wang
DataPrep.EDA: Task-Centric Exploratory Data Analysis for Statistical Modeling in Python. CoRR (2021)
Jing Nathan Yan, Ziwei Gu, Jeffrey M. Rzeszotarski
Tessera: Discretizing Data Analysis Workflows on a Task Level. CHI (2021)
Ziwei Gu, Jing Nathan Yan, Jeffrey M. Rzeszotarski
Understanding User Sensemaking in Machine Learning Fairness Assessment Systems. WWW (2021)
Jing Nathan Yan, Ziwei Gu, Hubert Lin, Jeffrey M. Rzeszotarski
Silva: Interactively Assessing Machine Learning Fairness Using Causality. CHI (2020)
Jing Nathan Yan, Oliver Schulte, Mohan Zhang, Jiannan Wang, Reynold Cheng
SCODED: Statistical Constraint Oriented Data Error Detection. SIGMOD Conference (2020)
Jing Nathan Yan, Oliver Schulte, Jiannan Wang, Reynold Cheng
Detecting Data Errors with Statistical Constraints. CoRR (2019)