Kezhi Kong
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
8
Venues
6
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
8 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | Nemotron-CC: Transforming Common Crawl into a Refined Long-Horizon Pretraining Dataset. | Dan Su, Kezhi Kong, Ying Lin, Joseph Jennings, Brandon Norick, Markus Kliegl, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro |
| 2024 | ICLR | On the Reliability of Watermarks for Large Language Models. | John Kirchenbauer, Jonas Geiping, Yuxin Wen, Manli Shu, Khalid Saifullah, Kezhi Kong, Kasun Fernando, Aniruddha Saha, Micah Goldblum, Tom Goldstein |
| 2024 | ICLR | OpenTab: Advancing Large Language Models as Open-domain Table Reasoners. | Kezhi Kong, Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Chuan Lei, Christos Faloutsos, Huzefa Rangwala, George Karypis |
| 2023 | ICML | GOAT: A Global Transformer on Large-scale Graphs. | Kezhi Kong, Jiuhai Chen, John Kirchenbauer, Renkun Ni, C. Bayan Bruss, Tom Goldstein |
| 2022 | CVPR | Robust Optimization as Data Augmentation for Large-scale Graphs. | Kezhi Kong, Guohao Li, Mucong Ding, Zuxuan Wu, Chen Zhu, Bernard Ghanem, Gavin Taylor, Tom Goldstein |
| 2021 | AAAI | SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations. | Haozhe Feng, Kezhi Kong, Minghao Chen, Tianye Zhang, Minfeng Zhu, Wei Chen |
| 2021 | ICML | Data Augmentation for Meta-Learning. | Renkun Ni, Micah Goldblum, Amr Sharaf, Kezhi Kong, Tom Goldstein |
| 2018 | PG | A Visual Analytics Approach for Traffic Flow Prediction Ensembles. | Kezhi Kong, Yuxin Ma, Chentao Ye, Junhua Lu, Xiqun Chen, Wei Zhang, Wei Chen |