Qirong Ho
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
31
Venues
18
Active years
2009–2025
Best venue rank
A*
Where they publish
Papers
31 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | Token Level Routing Inference System for Edge Devices. | Jianshu She, Wenhao Zheng, Zhengzhong Liu, Hongyi Wang, Eric P. Xing, Huaxiu Yao, Qirong Ho |
| 2025 | EMNLP | Linear Steerability in Language Models: When It Emerges and How It Evolves. | Jianshu She, Xinyue Li, Eric P. Xing, Zhengzhong Liu, Qirong Ho |
| 2025 | EMNLP | A Symbolic Adversarial Learning Framework for Evolving Fake News Generation and Detection. | Chong Tian, Qirong Ho, Xiuying Chen |
| 2025 | WACV | J-Invariant Volume Shuffle for Self-Supervised Cryo-Electron Tomogram Denoising on Single Noisy Volume. | Xiwei Liu, Mohamad Kassab, Min Xu, Qirong Ho |
| 2024 | ACL | ActionIE: Action Extraction from Scientific Literature with Programming Languages. | Xianrui Zhong, Yufeng Du, Siru Ouyang, Ming Zhong, Tingfeng Luo, Qirong Ho, Hao Peng, Heng Ji, Jiawei Han |
| 2023 | EMNLP | Multi-level Adaptive Contrastive Learning for Knowledge Internalization in Dialogue Generation. | Chenxu Yang, Zheng Lin, Lanrui Wang, Chong Tian, Liang Pang, Jiangnan Li, Qirong Ho, Yanan Cao, Weiping Wang |
| 2021 | OSDI | Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning. | Aurick Qiao, Sang Keun Choe, Suhas Jayaram Subramanya, Willie Neiswanger, Qirong Ho, Hao Zhang, Gregory R. Ganger, Eric P. Xing |
| 2018 | CLOUD | Orpheus: Efficient Distributed Machine Learning via System and Algorithm Co-design. | Pengtao Xie, Jin Kyu Kim, Qirong Ho, Yaoliang Yu, Eric P. Xing |
| 2018 | USENIX | Litz: Elastic Framework for High-Performance Distributed Machine Learning. | Aurick Qiao, Abutalib Aghayev, Weiren Yu, Haoyang Chen, Qirong Ho, Garth A. Gibson, Eric P. Xing |
| 2018 | USENIX | Cavs: An Efficient Runtime System for Dynamic Neural Networks. | Shizhen Xu, Hao Zhang, Graham Neubig, Wei Dai, Jin Kyu Kim, Zhijie Deng, Qirong Ho, Guangwen Yang, Eric P. Xing |
| 2017 | KDD | Distributed Multi-Task Relationship Learning. | Sulin Liu, Sinno Jialin Pan, Qirong Ho |
| 2017 | USENIX | Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters. | Hao Zhang, Zeyu Zheng, Shizhen Xu, Wei Dai, Qirong Ho, Xiaodan Liang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Eric P. Xing |
| 2016 | CIKM | A Distributed Graph Algorithm for Discovering Unique Behavioral Groups from Large-Scale Telco Data. | Qirong Ho, Wenqing Lin, Eran Shaham, Shonali Krishnaswamy, The Anh Dang, Jingxuan Wang, Isabel Choo Zhongyan, Amy She-Nash |
| 2016 | EuroSys | STRADS: a distributed framework for scheduled model parallel machine learning. | Jin Kyu Kim, Qirong Ho, Seunghak Lee, Xun Zheng, Wei Dai, Garth A. Gibson, Eric P. Xing |
| 2016 | ICDE | SLR: A scalable latent role model for attribute completion and tie prediction in social networks. | Lizi Liao, Qirong Ho, Jing Jiang, Ee-Peng Lim |
| 2016 | ICDM | ConTrack: A Scalable Method for Tracking Multiple Concepts in Large Scale Multidimensional Data. | Ali Zonoozi, Qirong Ho, Shonali Krishnaswamy, Gao Cong |
| 2016 | KDD | Scalable Time-Decaying Adaptive Prediction Algorithm. | Yinyan Tan, Zhe Fan, Guilin Li, Fangshan Wang, Zhengbing Li, Shikai Liu, Qiuling Pan, Eric P. Xing, Qirong Ho |
| 2016 | UAI | Lighter-Communication Distributed Machine Learning via Sufficient Factor Broadcasting. | Pengtao Xie, Jin Kyu Kim, Yi Zhou, Qirong Ho, Abhimanu Kumar, Yaoliang Yu, Eric P. Xing |
| 2015 | AAAI | High-Performance Distributed ML at Scale through Parameter Server Consistency Models. | Wei Dai, Abhimanu Kumar, Jinliang Wei, Qirong Ho, Garth A. Gibson, Eric P. Xing |
| 2015 | CLOUD | Managed communication and consistency for fast data-parallel iterative analytics. | Jinliang Wei, Wei Dai, Aurick Qiao, Qirong Ho, Henggang Cui, Gregory R. Ganger, Phillip B. Gibbons, Garth A. Gibson, Eric P. Xing |
| 2015 | ICML | Large-scale Distributed Dependent Nonparametric Trees. | Zhiting Hu, Qirong Ho, Avinava Dubey, Eric P. Xing |
| 2015 | KDD | Petuum: A New Platform for Distributed Machine Learning on Big Data. | Eric P. Xing, Qirong Ho, Wei Dai, Jin Kyu Kim, Jinliang Wei, Seunghak Lee, Xun Zheng, Pengtao Xie, Abhimanu Kumar, Yaoliang Yu |
| 2015 | WWW | LightLDA: Big Topic Models on Modest Computer Clusters. | Jinhui Yuan, Fei Gao, Qirong Ho, Wei Dai, Jinliang Wei, Xun Zheng, Eric Poe Xing, Tie-Yan Liu, Wei-Ying Ma |
| 2014 | AISTATS | Fugue: Slow-Worker-Agnostic Distributed Learning for Big Models on Big Data. | Abhimanu Kumar, Alex Beutel, Qirong Ho, Eric P. Xing |
| 2014 | CLOUD | Exploiting iterative-ness for parallel ML computations. | Henggang Cui, Alexey Tumanov, Jinliang Wei, Lianghong Xu, Wei Dai, Jesse Haber-Kucharsky, Qirong Ho, Gregory R. Ganger, Phillip B. Gibbons, Garth A. Gibson, Eric P. Xing |
| 2014 | UAI | Modeling Citation Networks Using Latent Random Offsets. | Willie Neiswanger, Chong Wang, Qirong Ho, Eric P. Xing |
| 2014 | USENIX | Exploiting Bounded Staleness to Speed Up Big Data Analytics. | Henggang Cui, James Cipar, Qirong Ho, Jin Kyu Kim, Seunghak Lee, Abhimanu Kumar, Jinliang Wei, Wei Dai, Gregory R. Ganger, Phillip B. Gibbons, Garth A. Gibson, Eric P. Xing |
| 2013 | HotOS | Solving the Straggler Problem with Bounded Staleness. | James Cipar, Qirong Ho, Jin Kyu Kim, Seunghak Lee, Gregory R. Ganger, Garth Gibson, Kimberly Keeton, Eric P. Xing |
| 2012 | WWW | Document hierarchies from text and links. | Qirong Ho, Jacob Eisenstein, Eric P. Xing |
| 2011 | WWW | Unified analysis of streaming news. | Amr Ahmed, Qirong Ho, Jacob Eisenstein, Eric P. Xing, Alexander J. Smola, Choon Hui Teo |
| 2009 | ISVC | Region Graph Spectra as Geometric Global Image Features. | Qirong Ho, Weimiao Yu, Hwee Kuan Lee |