Xuming He

7.4k total citations · 2 hit papers
127 papers, 3.6k citations indexed

About

Xuming He is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Xuming He has authored 127 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Computer Vision and Pattern Recognition, 46 papers in Artificial Intelligence and 17 papers in Electrical and Electronic Engineering. Recurrent topics in Xuming He's work include Advanced Image and Video Retrieval Techniques (40 papers), Multimodal Machine Learning Applications (31 papers) and Domain Adaptation and Few-Shot Learning (23 papers). Xuming He is often cited by papers focused on Advanced Image and Video Retrieval Techniques (40 papers), Multimodal Machine Learning Applications (31 papers) and Domain Adaptation and Few-Shot Learning (23 papers). Xuming He collaborates with scholars based in China, Australia and United Kingdom. Xuming He's co-authors include Richard S. Zemel, Miguel Á. Carreira-Perpiñán, Shipeng Yan, Mathieu Salzmann, Songyang Zhang, Jiangwei Xie, Miaomiao Liu, Rongjie Li, Bo Wan and Yongfei Liu and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Xuming He

120 papers receiving 3.5k 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.

Multiscale conditional random fields for image labeling

2004 588 citations Xuming He, Richard S. Zemel et al. profile →
DER: Dynamically Expandable Representation for Class Incremental Learning

2021 312 citations Shipeng Yan, Xuming He et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Xuming He China	26	2.5k	1.3k	493	239	206	127	3.6k
Matthew D. Zeiler United States	9	2.4k 1.0×	1.8k 1.4×	500 1.0×	171 0.7×	231 1.1×	9	4.0k
Hugo Touvron France	5	2.4k 1.0×	1.7k 1.3×	407 0.8×	259 1.1×	206 1.0×	7	4.1k
Weihao Yu China	12	1.8k 0.7×	848 0.6×	403 0.8×	218 0.9×	252 1.2×	23	2.8k
Hao Tang China	34	2.8k 1.1×	721 0.6×	734 1.5×	276 1.2×	159 0.8×	192	4.1k
Jianlong Fu China	31	4.4k 1.8×	2.0k 1.6×	682 1.4×	282 1.2×	191 0.9×	91	5.5k
Jiachen Lu China	8	1.7k 0.7×	723 0.6×	495 1.0×	147 0.6×	117 0.6×	32	2.6k
Xavier Muñoz Spain	14	2.3k 0.9×	621 0.5×	619 1.3×	288 1.2×	148 0.7×	35	2.9k
Liwei Wang China	27	3.6k 1.4×	1.9k 1.5×	374 0.8×	398 1.7×	117 0.6×	81	4.7k
Jianfeng Lu China	27	1.9k 0.7×	915 0.7×	623 1.3×	260 1.1×	96 0.5×	166	3.0k
Stefan Carlsson Sweden	18	2.9k 1.1×	1.2k 0.9×	449 0.9×	431 1.8×	182 0.9×	50	4.2k

Countries citing papers authored by Xuming He

Since Specialization

Citations

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

Fields of papers citing papers by Xuming He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuming He

This figure shows the co-authorship network connecting the top 25 collaborators of Xuming He. A scholar is included among the top collaborators of Xuming He 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 Xuming He. Xuming He 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.

Zhang, Xiangyu, Y. Sun, Na Yu, et al.. (2025). Data-Driven Discovery of Polar Organic Cocrystals: Integration of Machine Learning and Automated Screening. Journal of the American Chemical Society. 147(49). 45523–45535.

2.

Zhang, Yue, Xia Li, Wenbo Zhai, et al.. (2024). Machine Learning on Microstructure–Property Relationship of Lithium-Ion Conducting Oxide Solid Electrolytes. Nano Letters. 24(17). 5292–5300. 11 indexed citations

3.

Lu, Dayou, et al.. (2024). A physics-informed data-driven fault location method for transmission lines using single-ended measurements with field data validation. Electric Power Systems Research. 236. 110943–110943.

4.

Hayder, Zeeshan & Xuming He. (2024). DSGG: Dense Relation Transformer for an End-to-End Scene Graph Generation. 28317–28326. 2 indexed citations

5.

He, Xuming, et al.. (2023). OccluBEV: Occlusion Aware Spatiotemporal Modeling for Multi-view 3D Object Detection. 4074–4083. 2 indexed citations

6.

Yu, Jingyi, et al.. (2022). Parallel Time-Delay Reservoir Computing With Quantum Dot Lasers. IEEE Journal of Quantum Electronics. 58(2). 1–9. 17 indexed citations

7.

Yu, Jingyi, et al.. (2022). Deep Time-Delay Reservoir Computing With Cascading Injection-Locked Lasers. IEEE Journal of Selected Topics in Quantum Electronics. 29(6: Photonic Signal Processing). 1–8. 19 indexed citations

8.

Lou, Ronghui, Weizhen Liu, Rongjie Li, et al.. (2021). DeepPhospho accelerates DIA phosphoproteome profiling through in silico library generation. Nature Communications. 12(1). 46 indexed citations

9.

Liu, Zhichao, et al.. (2021). Automatic spinal curvature measurement on ultrasound spine images using Faster R-CNN. 1–4. 6 indexed citations

10.

Liu, Yongfei, Bo Wan, Lin Ma, & Xuming He. (2021). Relation-aware Instance Refinement for Weakly Supervised Visual Grounding. Lirias (KU Leuven). 5608–5617. 36 indexed citations

11.

Zhang, Songyang, Shipeng Yan, & Xuming He. (2019). LatentGNN: Learning Efficient Non-local Relations for Visual Recognition. International Conference on Machine Learning. 7374–7383. 12 indexed citations

12.

Wan, Bo, Desen Zhou, Yongfei Liu, Rongjie Li, & Xuming He. (2019). Pose-Aware Multi-Level Feature Network for Human Object Interaction Detection. 9468–9477. 148 indexed citations

13.

Hayder, Zeeshan, Xuming He, & Mathieu Salzmann. (2017). Boundary-Aware Instance Segmentation. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 587–595. 87 indexed citations

14.

Irons, Jessica, et al.. (2017). Face identity recognition in simulated prosthetic vision is poorer than previously reported and can be improved by caricaturing. Vision Research. 137. 61–79. 23 indexed citations

15.

Hayder, Zeeshan, Xuming He, & Mathieu Salzmann. (2016). Shape-aware Instance Segmentation.. arXiv (Cornell University). 11 indexed citations

16.

Li, Hongdong, et al.. (2016). Contour Completion Without Region Segmentation. IEEE Transactions on Image Processing. 25(8). 3597–3611. 17 indexed citations

17.

Wang, Tao, Xuming He, & Nick Barnes. (2015). Glass object localization by joint inference of boundary and depth. ANU Open Research (Australian National University). 13 indexed citations

18.

He, Xuming, Chunhua Shen, & Nick Barnes. (2011). Face Detection And Tracking In Video To Facilitate Face Recognition In A Visual Prosthesis. Investigative Ophthalmology & Visual Science. 52(14). 4972–4972. 3 indexed citations

19.

Wu, Shuang, Xuming He, Hongjing Lu, & Alan Yuille. (2010). A unified model of short-range and long-range motion perception. Neural Information Processing Systems. 23. 2478–2486. 7 indexed citations

20.

He, Xuming, Richard S. Zemel, & Debajyoti Ray. (2006). Learning and incorporating top-down cues in image segmentation. 6 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.

Explore authors with similar magnitude of impact