Jing Nathan Yan

26 papers A* 7Journal 13Unranked 6
YearRankTypeTitle / Venue / Authors
2026 A* conf
Fairness-in-the-Workflow: How Machine Learning Practitioners at Big Tech Companies Approach Fairness in Recommender Systems.
CHI
Jing Nathan Yan, Emma Harvey, Junxiong Wang, Jeffrey M. Rzeszotarski, Allison Koenecke
2025 A* conf
EG4D: Explicit Generation of 4D Object without Score Distillation.
ICLR
Qi Sun, Zhiyang Guo, Ziyu Wan, Jing Nathan Yan, Shengming Yin, Wengang Zhou, Jing Liao, Houqiang Li
2025 J jnl
Fairness Practices in Industry: A Case Study in Machine Learning Teams Building Recommender Systems.
CoRR
Jing Nathan Yan, Junxiong Wang, Jeffrey M. Rzeszotarski, Allison Koenecke
2025 J jnl
OverFill: Two-Stage Models for Efficient Language Model Decoding.
CoRR
Woojeong Kim, Junxiong Wang, Jing Nathan Yan, Mohamed Abdelfattah, Alexander M. Rush
2024 J jnl
A Controlled Study on Long Context Extension and Generalization in LLMs.
CoRR
Yi Lu, Jing Nathan Yan, Songlin Yang, Justin T. Chiu, Siyu Ren, Fei Yuan, Wenting Zhao, Zhiyong Wu, Alexander M. Rush
2024 A* conf
Diffusion Models Without Attention.
CVPR
Jing Nathan Yan, Jiatao Gu, Alexander M. Rush
2024 J jnl
EG4D: Explicit Generation of 4D Object without Score Distillation.
CoRR
Qi Sun, Zhiyang Guo, Ziyu Wan, Jing Nathan Yan, Shengming Yin, Wengang Zhou, Jing Liao, Houqiang Li
2024 — conf
Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning.
ACL (1)
Yue Yu, Jiaming Shen, Tianqi Liu, Zhen Qin, Jing Nathan Yan, Jialu Liu, Chao Zhang, Michael Bendersky
2024 J jnl
MambaByte: Token-free Selective State Space Model.
CoRR
Junxiong Wang, Tushaar Gangavarapu, Jing Nathan Yan, Alexander M. Rush
2024 — conf
Predicting Text Preference Via Structured Comparative Reasoning.
ACL (1)
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
2023 J jnl
Diffusion Models Without Attention.
CoRR
Jing Nathan Yan, Jiatao Gu, Alexander M. Rush
2023 J jnl
Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning.
CoRR
Yue Yu, Jiaming Shen, Tianqi Liu, Zhen Qin, Jing Nathan Yan, Jialu Liu, Chao Zhang, Michael Bendersky
2023 J jnl
On What Basis? Predicting Text Preference Via Structured Comparative Reasoning.
CoRR
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
2023 — conf
Pretraining Without Attention.
EMNLP (Findings)
Junxiong Wang, Jing Nathan Yan, Albert Gu, Alexander M. Rush
2023 — conf
TimelineQA: A Benchmark for Question Answering over Timelines.
ACL (Findings)
Wang-Chiew Tan, Jane Dwivedi-Yu, Yuliang Li, Lambert Mathias, Marzieh Saeidi, Jing Nathan Yan, Alon Y. Halevy
2023 J jnl
TimelineQA: A Benchmark for Question Answering over Timelines.
CoRR
Wang-Chiew Tan, Jane Dwivedi-Yu, Yuliang Li, Lambert Mathias, Marzieh Saeidi, Jing Nathan Yan, Alon Y. Halevy
2022 A* conf
Example-based Spatial Search at Scale.
ICDE
Hanyuan Zhang, Siqiang Luo, Jieming Shi, Jing Nathan Yan, Weiwei Sun
2022 J jnl
Pretraining Without Attention.
CoRR
Junxiong Wang, Jing Nathan Yan, Albert Gu, Alexander M. Rush
2022 J jnl
User Interfaces for Exploratory Data Analysis: A Survey of Open-Source and Commercial Tools.
IEEE Data Eng. Bull.
Jinglin Peng, Weiyuan Wu, Jing Nathan Yan, Danrui Qi, Jeffrey M. Rzeszotarski, Jiannan Wang
2021 — conf
DataPrep.EDA: Task-Centric Exploratory Data Analysis for Statistical Modeling in Python.
SIGMOD Conference
Jinglin Peng, Weiyuan Wu, Brandon Lockhart, Song Bian, Jing Nathan Yan, Linghao Xu, Zhixuan Chi, Jeffrey M. Rzeszotarski, Jiannan Wang
2021 J jnl
DataPrep.EDA: Task-Centric Exploratory Data Analysis for Statistical Modeling in Python.
CoRR
Jinglin Peng, Weiyuan Wu, Brandon Lockhart, Song Bian, Jing Nathan Yan, Linghao Xu, Zhixuan Chi, Jeffrey M. Rzeszotarski, Jiannan Wang
2021 A* conf
Tessera: Discretizing Data Analysis Workflows on a Task Level.
CHI
Jing Nathan Yan, Ziwei Gu, Jeffrey M. Rzeszotarski
2021 A* conf
Understanding User Sensemaking in Machine Learning Fairness Assessment Systems.
WWW
Ziwei Gu, Jing Nathan Yan, Jeffrey M. Rzeszotarski
2020 — conf
SCODED: Statistical Constraint Oriented Data Error Detection.
SIGMOD Conference
Jing Nathan Yan, Oliver Schulte, Mohan Zhang, Jiannan Wang, Reynold Cheng
2020 A* conf
Silva: Interactively Assessing Machine Learning Fairness Using Causality.
CHI
Jing Nathan Yan, Ziwei Gu, Hubert Lin, Jeffrey M. Rzeszotarski
2019 J jnl
Detecting Data Errors with Statistical Constraints.
CoRR
Jing Nathan Yan, Oliver Schulte, Jiannan Wang, Reynold Cheng