Jing Nathan Yan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
9
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | CHI | Fairness-in-the-Workflow: How Machine Learning Practitioners at Big Tech Companies Approach Fairness in Recommender Systems. | Jing Nathan Yan, Emma Harvey, Junxiong Wang, Jeffrey M. Rzeszotarski, Allison Koenecke |
| 2026 | SIGGRAPH | MeshFlow: Mesh Generation with Equivariant Flow Matching. | Qi Sun, Kiyohiro Nakayama, Jing Nathan Yan, Qixing Huang, Alexander Rush, Leonidas J. Guibas, Gordon Wetzstein, Jing Liao, Guandao Yang |
| 2025 | ICLR | EG4D: Explicit Generation of 4D Object without Score Distillation. | Qi Sun, Zhiyang Guo, Ziyu Wan, Jing Nathan Yan, Shengming Yin, Wengang Zhou, Jing Liao, Houqiang Li |
| 2024 | ACL | Predicting Text Preference Via Structured Comparative Reasoning. | 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 |
| 2024 | ACL | Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning. | Yue Yu, Jiaming Shen, Tianqi Liu, Zhen Qin, Jing Nathan Yan, Jialu Liu, Chao Zhang, Michael Bendersky |
| 2024 | CVPR | Diffusion Models Without Attention. | Jing Nathan Yan, Jiatao Gu, Alexander M. Rush |
| 2023 | ACL | TimelineQA: A Benchmark for Question Answering over Timelines. | Wang-Chiew Tan, Jane Dwivedi-Yu, Yuliang Li, Lambert Mathias, Marzieh Saeidi, Jing Nathan Yan, Alon Y. Halevy |
| 2023 | EMNLP | Pretraining Without Attention. | Junxiong Wang, Jing Nathan Yan, Albert Gu, Alexander M. Rush |
| 2022 | ICDE | Example-based Spatial Search at Scale. | Hanyuan Zhang, Siqiang Luo, Jieming Shi, Jing Nathan Yan, Weiwei Sun |
| 2021 | CHI | Tessera: Discretizing Data Analysis Workflows on a Task Level. | Jing Nathan Yan, Ziwei Gu, Jeffrey M. Rzeszotarski |
| 2021 | WWW | Understanding User Sensemaking in Machine Learning Fairness Assessment Systems. | Ziwei Gu, Jing Nathan Yan, Jeffrey M. Rzeszotarski |
| 2021 | SIGMOD | DataPrep.EDA: Task-Centric Exploratory Data Analysis for Statistical Modeling in Python. | Jinglin Peng, Weiyuan Wu, Brandon Lockhart, Song Bian, Jing Nathan Yan, Linghao Xu, Zhixuan Chi, Jeffrey M. Rzeszotarski, Jiannan Wang |
| 2020 | CHI | Silva: Interactively Assessing Machine Learning Fairness Using Causality. | Jing Nathan Yan, Ziwei Gu, Hubert Lin, Jeffrey M. Rzeszotarski |
| 2020 | SIGMOD | SCODED: Statistical Constraint Oriented Data Error Detection. | Jing Nathan Yan, Oliver Schulte, Mohan Zhang, Jiannan Wang, Reynold Cheng |