Xiaoxiao Guo
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Statistical and Nonlinear Physics top 2%
- Computational Mechanics top 5%
- Aerospace Engineering top 10%
- Topics
- Multimodal Machine Learning Applications (14 papers)Topic Modeling (12 papers)Reinforcement Learning in Robotics (8 papers)
- Cited by
- Statistical and Nonlinear PhysicsArtificial IntelligenceComputer Vision and Pattern Recognition
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Xiaoxiao Guo
46 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Artificial Intelligence 819
- Computer Vision and Pattern Recognition 470
- Statistical and Nonlinear Physics 383
- Computational Mechanics 216
- Aerospace Engineering 133
Countries citing papers authored by Xiaoxiao Guo
This map shows the geographic impact of Xiaoxiao Guo'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 Xiaoxiao Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoxiao Guo more than expected).
Fields of papers citing papers by Xiaoxiao Guo
This network shows the impact of papers produced by Xiaoxiao Guo. 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 Xiaoxiao Guo. The network helps show where Xiaoxiao Guo may publish in the future.
Co-authorship network of co-authors of Xiaoxiao Guo
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoxiao Guo. A scholar is included among the top collaborators of Xiaoxiao Guo 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 Xiaoxiao Guo. Xiaoxiao Guo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 37 | |
| 2 | The Fashion IQ Dataset: Retrieving Images by Combining Side Information and Relative Natural Language Feedback. | 17 |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 15 | |
| 6 | 51 | |
| 7 | 39 | |
| 8 | 11 | |
| 9 | Dialog-based Interactive Image Retrieval | 23 |
| 10 | R 3 : Reinforced Ranker-Reader for Open-Domain Question Answering. | 88 |
| 11 | 153 | |
| 12 | 51 | |
| 13 | 13 | |
| 14 | Dilated Recurrent Neural Networks | 66 |
| 15 | Learning to Query, Reason, and Answer Questions On Ambiguous Texts | 7 |
| 16 | Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering | 49 |
| 17 | Eigenoption Discovery through the Deep Successor Representation | 2 |
| 18 | Action-conditional video prediction using deep networks in Atari games | 80 |
| 19 | Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning | 116 |
| 20 | Reward Mapping for Transfer in Long-Lived Agents | 2 |
About Xiaoxiao Guo
Xiaoxiao Guo is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 47 papers that have together received 1.7k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (14 papers), Topic Modeling (12 papers) and Reinforcement Learning in Robotics (8 papers). The work is most often cited by research in Statistical and Nonlinear Physics (383 citations), Artificial Intelligence (819 citations) and Computer Vision and Pattern Recognition (470 citations). Xiaoxiao Guo has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Wei Li, Francesco Iorio, Mo Yu, Shiyu Chang, Qiaozhu Mei, Cheng Li, Jiaqi Ma, Satinder Singh, Richard L. Lewis and Honglak Lee. Their work appears in journals such as Analytical Biochemistry, Analytica Chimica Acta and Neurocomputing.
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.