Qirong Ho
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 2%
- Computer Networks and Communications top 5%
- Information Systems top 2%
- Hardware and Architecture top 5%
- Co-authors
- Eric P. XingSeunghak LeeGarth A. GibsonWei DaiJin Kyu KimJinliang WeiPengtao XieXun Zheng
- Topics
- Complex Network Analysis Techniques (11 papers)Stochastic Gradient Optimization Techniques (10 papers)Cloud Computing and Resource Management (8 papers)
- Journals
- Journal of the American Statistical AssociationJournal of Machine Learning ResearchEngineering
- Partner nations
- United StatesSingaporeChina
In The Last Decade
Qirong Ho
37 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Artificial Intelligence 1.1k
- Computer Vision and Pattern Recognition 505
- Computer Networks and Communications 415
- Information Systems 336
- Hardware and Architecture 159
Countries citing papers authored by Qirong Ho
This map shows the geographic impact of Qirong Ho's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Qirong Ho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qirong Ho more than expected).
Fields of papers citing papers by Qirong Ho
This network shows the impact of papers produced by Qirong Ho. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Qirong Ho. The network helps show where Qirong Ho may publish in the future.
Co-authorship network of co-authors of Qirong Ho
This figure shows the co-authorship network connecting the top 25 collaborators of Qirong Ho. A scholar is included among the top collaborators of Qirong Ho based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Qirong Ho. Qirong Ho is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Cavs: An Efficient Runtime System for Dynamic Neural Networks | 4 |
| 2 | 2 | |
| 3 | 32 | |
| 4 | 1 | |
| 5 | 53 | |
| 6 | 8 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 7 | |
| 11 | 42 | |
| 12 | 4 | |
| 13 | Lighter-communication distributed machine learning via Sufficient Factor Broadcasting | 8 |
| 14 | 1 | |
| 15 | Large-scale Distributed Dependent Nonparametric Trees | 3 |
| 16 | 72 | |
| 17 | 76 | |
| 18 | More Effective Distributed ML via a Stale Synchronous Parallel Parameter Serverbreakdown → | 350 |
| 19 | 17 | |
| 20 | Evolving Cluster Mixed-Membership Blockmodel for Time-Evolving Networks | 37 |
About Qirong Ho
Qirong Ho is a scholar working on Hardware and Architecture, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 38 papers that have together received 1.5k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (11 papers), Stochastic Gradient Optimization Techniques (10 papers) and Cloud Computing and Resource Management (8 papers). The work is most often cited by research in Artificial Intelligence (1.1k citations), Computer Vision and Pattern Recognition (505 citations) and Hardware and Architecture (159 citations). Qirong Ho has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include Eric P. Xing, Seunghak Lee, Garth A. Gibson, Wei Dai, Jin Kyu Kim, Jinliang Wei, Pengtao Xie, Xun Zheng, Gregory R. Ganger and Phillip B. Gibbons. Their work appears in journals such as Journal of the American Statistical Association, Journal of Machine Learning Research and Engineering.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.