Xiaohu Qie

2.1k total citations · 2 hit papers
32 papers, 1.0k citations indexed

About

Xiaohu Qie is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Transportation. According to data from OpenAlex, Xiaohu Qie has authored 32 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 8 papers in Transportation. Recurrent topics in Xiaohu Qie's work include Multimodal Machine Learning Applications (9 papers), Transportation and Mobility Innovations (6 papers) and Human Mobility and Location-Based Analysis (6 papers). Xiaohu Qie is often cited by papers focused on Multimodal Machine Learning Applications (9 papers), Transportation and Mobility Innovations (6 papers) and Human Mobility and Location-Based Analysis (6 papers). Xiaohu Qie collaborates with scholars based in China, United States and Hong Kong. Xiaohu Qie's co-authors include Ying Shan, Xintao Wang, Yixiao Ge, Larry Peterson, Mike Zheng Shou, Zhongang Qi, Yinqiang Zheng, Mingdeng Cao, Yuchao Gu and Jay Zhangjie Wu and has published in prestigious journals such as Journal of the American Statistical Association, IEEE Transactions on Circuits and Systems for Video Technology and ACM SIGOPS Operating Systems Review.

In The Last Decade

Xiaohu Qie

32 papers receiving 983 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation

2023 193 citations Jay Zhangjie Wu, Yixiao Ge et al. profile →
MasaCtrl: Tuning-Free Mutual Self-Attention Control for Consistent Image Synthesis and Editing

2023 125 citations Xintao Wang, Ying Shan et al. profile →

Peers

Xiaohu Qie

CVPR

AI

CNC

CGCD

SP

Jiwon Kim South Korea

Tian Xia United States

Jinyuan Jia China

Dominik Schultes Germany

Mingxuan Sun United States

Kevin Wampler United States

Lili Zhao China

Boris Chidlovskii France

Rongfei Jia China

Jun Luo China

Jiwon Kim South Korea

Xiaohu Qie

554 ×0.9

CVPR

393 ×1.3

AI

273 ×2.1

CNC

66 ×0.6

CGCD

264 ×2.5

SP

Citations per year, relative to Xiaohu Qie Xiaohu Qie (= 1×) peers Jiwon Kim

Countries citing papers authored by Xiaohu Qie

Since Specialization

Citations

This map shows the geographic impact of Xiaohu Qie'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 Xiaohu Qie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohu Qie more than expected).

Fields of papers citing papers by Xiaohu Qie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaohu Qie. 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 Xiaohu Qie. The network helps show where Xiaohu Qie may publish in the future.

Co-authorship network of co-authors of Xiaohu Qie

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohu Qie. A scholar is included among the top collaborators of Xiaohu Qie 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 Xiaohu Qie. Xiaohu Qie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Wang, Jinpeng, Yixiao Ge, Rui Yan, et al.. (2023). All in One: Exploring Unified Video-Language Pre-Training. 6598–6608. 79 indexed citations

2.

Cao, Yan‐Pei, et al.. (2023). OmniZoomer: Learning to Move and Zoom in on Sphere at High-Resolution. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 12851–12861. 4 indexed citations

3.

Xu, Jiale, Xintao Wang, Yan‐Pei Cao, et al.. (2023). Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models. The HKU Scholars Hub (University of Hong Kong). 20908–20918. 67 indexed citations

4.

Yang, Shusheng, Yixiao Ge, Kun Yi, et al.. (2023). RILS: Masked Visual Reconstruction in Language Semantic Space. 23304–23314. 5 indexed citations

5.

Ge, Yixiao, Feng Zheng, Ran Cheng, et al.. (2023). Accelerating Vision-Language Pretraining with Free Language Modeling. 23161–23170. 5 indexed citations

6.

Wu, Jay Zhangjie, Yixiao Ge, Xintao Wang, et al.. (2023). Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation. 7589–7599. 193 indexed citations breakdown →

7.

Liu, Ye, Siyuan Li, Yang Wu, et al.. (2022). UMT: Unified Multi-modal Transformers for Joint Video Moment Retrieval and Highlight Detection. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 3032–3041. 78 indexed citations

8.

Liu, Chang, Haiming Jin, Qun Li, et al.. (2020). Spatio-Temporal Hierarchical Adaptive Dispatching for Ridesharing Systems. 227–238. 3 indexed citations

9.

Li, Yu-Feng, et al.. (2020). IWE-Net: Instance Weight Network for Locating Negative Comments and its application to improve Traffic User Experience. Proceedings of the AAAI Conference on Artificial Intelligence. 34(4). 4052–4059. 3 indexed citations

10.

Wu, Guojun, Yanhua Li, Qichao Wang, et al.. (2020). A Joint Inverse Reinforcement Learning and Deep Learning Model for Drivers' Behavioral Prediction. 2805–2812. 8 indexed citations

11.

Hong, Huiting, Yu‐Cheng Lin, Xiaoqing Yang, et al.. (2020). HetETA. 2444–2454. 72 indexed citations

12.

Xu, Zhe, Peng Li, Ge Li, et al.. (2020). When Recommender Systems Meet Fleet Management: Practical Study in Online Driver Repositioning System. 2220–2229. 18 indexed citations

13.

Zhang, Han, Xiaodi Yang, Xiaoqing Yang, et al.. (2020). Dynamic Heterogeneous Graph Neural Network for Real-time Event Prediction. 3213–3223. 42 indexed citations

14.

Fang, Jun, Xinyue Liu, Hua Chai, et al.. (2020). Context-aware Route Recommendation with Weight Learning through Deep Neural Networks. 4040–4045. 3 indexed citations

15.

Qie, Xiaohu & Sanjai Narain. (2004). Using service grammar to diagnose BGP configuration errors. Science of Computer Programming. 53(2). 125–141. 4 indexed citations

16.

Peterson, Larry, Andy Bavier, Yitzchak M. Gottlieb, et al.. (2003). Extensible routers for active networks. 92–116. 11 indexed citations

17.

Qie, Xiaohu, Ruoming Pang, & Larry Peterson. (2002). Defensive programming. 45–45. 15 indexed citations

18.

Qie, Xiaohu, Andy Bavier, Larry Peterson, & Scott Karlin. (2001). Scheduling computations on a software-based router. 13–24. 36 indexed citations

19.

Qie, Xiaohu, Andy Bavier, Larry Peterson, & Scott Karlin. (2001). Scheduling computations on a software-based router. ACM SIGMETRICS Performance Evaluation Review. 29(1). 13–24. 2 indexed citations

20.

Bavier, Andy, Scott Karlin, Larry Peterson, & Xiaohu Qie. (2000). Scheduling Computations on a Programmable Router. 3 indexed citations

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.

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