Junqi Yin
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
5
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ICS | FLYING SERVING: On-the-Fly Parallelism Switching for Large Language Model Serving. | Shouwei Gao, Junqi Yin, Feiyi Wang, Wenqian Dong |
| 2025 | ICML | Modulated Diffusion: Accelerating Generative Modeling with Modulated Quantization. | Weizhi Gao, Zhichao Hou, Junqi Yin, Feiyi Wang, Linyu Peng, Xiaorui Liu |
| 2025 | SC | RingX: Scalable Parallel Attention for Long-Context Learning on HPC. | Junqi Yin, Mijanur Palash, Mallikarjun Shankar, Feiyi Wang |
| 2024 | ICPP | The Case for Co-Designing Model Architectures with Hardware. | Quentin Anthony, Jacob Hatef, Deepak Narayanan, Stella Biderman, Stas Bekman, Junqi Yin, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda |
| 2024 | SC | SciTrust: Evaluating the Trustworthiness of Large Language Models for Science. | Emily J. Herron, Junqi Yin, Feiyi Wang |
| 2024 | SC | Enabling Low-Overhead HT-HPC Workflows at Extreme Scale using GNU Parallel. | Ketan Maheshwari, William Arndt, Ahmad Maroof Karimi, Junqi Yin, Frdric Suter, Seth R. Johnson, Rafael Ferreira da Silva |
| 2024 | SC | A Scalable Training-Free Diffusion Model for Uncertainty Quantification. | Ali Haisam Muhammad Rafid, Junqi Yin, Yuwei Geng, Siming Liang, Feng Bao, Lili Ju, Guannan Zhang |
| 2024 | SC | ORBIT: Oak Ridge Base Foundation Model for Earth System Predictability. | Xiao Wang, Siyan Liu, Aristeidis Tsaris, Jong-Youl Choi, Ashwin M. Aji, Ming Fan, Wei Zhang, Junqi Yin, Moetasim Ashfaq, Dan Lu, Prasanna Balaprakash |
| 2024 | SC | A Scalable Real-Time Data Assimilation Framework for Predicting Turbulent Atmosphere Dynamics. | Junqi Yin, Siming Liang, Siyan Liu, Feng Bao, Hristo G. Chipilski, Dan Lu, Guannan Zhang |
| 2023 | SC | FORGE: Pre-Training Open Foundation Models for Science. | Junqi Yin, Sajal Dash, Feiyi Wang, Mallikarjun Shankar |
| 2022 | NSDI | Accelerating Collective Communication in Data Parallel Training across Deep Learning Frameworks. | Joshua Romero, Junqi Yin, Nouamane Laanait, Bing Xie, M. Todd Young, Sean Treichler, Vitalii Starchenko, Albina Y. Borisevich, Alex Sergeev, Michael A. Matheson |
| 2021 | ICPP | IMPECCABLE: Integrated Modeling PipelinE for COVID Cure by Assessing Better LEads. | Aymen Al Saadi, Dario Alf, Yadu N. Babuji, Agastya Bhati, Ben Blaiszik, Alexander Brace, Thomas S. Brettin, Kyle Chard, Ryan Chard, Austin Clyde, Peter V. Coveney, Ian T. Foster, Tom Gibbs, Shantenu Jha, Kristopher Keipert, Dieter Kranzlmller, Thorsten Kurth, Hyungro Lee, Zhuozhao Li, Heng Ma, Gerald Mathias, Andr Merzky, Alexander Partin, Arvind Ramanathan, Ashka Shah, Abraham C. Stern, Rick Stevens, Li Tan, Mikhail Titov, Anda Trifan, Aristeidis Tsaris, Matteo Turilli, Huub J. J. Van Dam, Shunzhou Wan, David Wifling, Junqi Yin |
| 2021 | SC | Mitigating Catastrophic Forgetting in Deep Learning in a Streaming Setting Using Historical Summary. | Sajal Dash, Junqi Yin, Mallikarjun Shankar, Feiyi Wang, Wu-chun Feng |
| 2019 | SC | Strategies to Deploy and Scale Deep Learning on the Summit Supercomputer. | Junqi Yin, Shubhankar Gahlot, Nouamane Laanait, Ketan Maheshwari, Jack Morrison, Sajal Dash, Mallikarjun Shankar |
| 2018 | SC | The design, deployment, and evaluation of the CORAL pre-exascale systems. | Sudharshan S. Vazhkudai, Bronis R. de Supinski, Arthur S. Bland, Al Geist, James C. Sexton, Jim Kahle, Christopher Zimmer, Scott Atchley, Sarp Oral, Don E. Maxwell, Vernica G. Vergara Larrea, Adam Bertsch, Robin Goldstone, Wayne Joubert, Chris Chambreau, David Appelhans, Robert Blackmore, Ben Casses, George Chochia, Gene Davison, Matthew A. Ezell, Tom Gooding, Elsa Gonsiorowski, Leopold Grinberg, Bill Hanson, Bill Hartner, Ian Karlin, Matthew L. Leininger, Dustin Leverman, Chris Marroquin, Adam Moody, Martin Ohmacht, Ramesh Pankajakshan, Fernando Pizzano, James H. Rogers, Bryan S. Rosenburg, Drew Schmidt, Mallikarjun Shankar, Feiyi Wang, Py Watson, Bob Walkup, Lance D. Weems, Junqi Yin |