Xiaobin Chang

1.1k total citations · 1 hit paper
16 papers, 532 citations indexed

About

Xiaobin Chang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Xiaobin Chang has authored 16 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 1 paper in Pulmonary and Respiratory Medicine. Recurrent topics in Xiaobin Chang's work include Domain Adaptation and Few-Shot Learning (7 papers), Face recognition and analysis (3 papers) and Human Pose and Action Recognition (3 papers). Xiaobin Chang is often cited by papers focused on Domain Adaptation and Few-Shot Learning (7 papers), Face recognition and analysis (3 papers) and Human Pose and Action Recognition (3 papers). Xiaobin Chang collaborates with scholars based in China, United Kingdom and Austria. Xiaobin Chang's co-authors include Tao Xiang, Timothy M. Hospedales, Wei‐Shi Zheng, Jianguo Zhang, Yongxin Yang, Xiuwei Chen, Frederick Tung, Greg Mori, Chao Wu and Ancong Wu and has published in prestigious journals such as IEEE Transactions on Image Processing, Pattern Recognition and Research on Chemical Intermediates.

In The Last Decade

Xiaobin Chang

13 papers receiving 523 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.

Multi-level Factorisation Net for Person Re-identification

2018 359 citations Xiaobin Chang, Timothy M. Hospedales et al. Edinburgh Research Explorer (University of Edinburgh) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiaobin Chang China	8	480	192	108	19	19	16	532
Maoqing Tian China	6	789 1.6×	343 1.8×	53 0.5×	25 1.3×	37 1.9×	9	822
Houjing Huang China	8	510 1.1×	210 1.1×	83 0.8×	23 1.2×	25 1.3×	9	559
Kecheng Zheng China	10	616 1.3×	283 1.5×	89 0.8×	14 0.7×	15 0.8×	23	659
Zimo Liu China	5	364 0.8×	159 0.8×	57 0.5×	13 0.7×	22 1.2×	6	397
Etienne Corvée France	7	460 1.0×	185 1.0×	46 0.4×	17 0.9×	9 0.5×	14	472
Ruibing Hou China	5	399 0.8×	189 1.0×	95 0.9×	7 0.4×	14 0.7×	10	439
Pingyang Dai China	9	707 1.5×	221 1.2×	40 0.4×	28 1.5×	42 2.2×	19	749
Xinqian Gu China	7	462 1.0×	246 1.3×	42 0.4×	8 0.4×	19 1.0×	12	494
Emrah Başaran Türkiye	5	476 1.0×	168 0.9×	43 0.4×	21 1.1×	14 0.7×	11	493
Davide Baltieri Italy	7	431 0.9×	167 0.9×	48 0.4×	13 0.7×	12 0.6×	8	452

Countries citing papers authored by Xiaobin Chang

Since Specialization

Citations

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

Fields of papers citing papers by Xiaobin Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaobin Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaobin Chang. A scholar is included among the top collaborators of Xiaobin Chang 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 Xiaobin Chang. Xiaobin Chang 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:

16 of 16 papers shown

1.

Liu, Xuan & Xiaobin Chang. (2025). LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning. 15308–15318.

2.

Liu, Feng & Xiaobin Chang. (2025). IIDM: Image-to-Image Diffusion Model for Semantic Image Synthesis. Computational Visual Media. 11(2). 423–429.

3.

Chang, Xiaobin, et al.. (2024). Consistent Prompting for Rehearsal-Free Continual Learning. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 28463–28473. 5 indexed citations

4.

Wu, Chao, Xiaobin Chang, & Ruixuan Wang. (2024). Generalizable Two-Branch Framework for Image Class-Incremental Learning. 4265–4269.

5.

Chen, Xiuwei & Xiaobin Chang. (2023). Dynamic Residual Classifier for Class Incremental Learning. 18697–18706. 14 indexed citations

6.

Zheng, Yanchong, et al.. (2023). SATS: Self-attention transfer for continual semantic segmentation. Pattern Recognition. 138. 109383–109383. 24 indexed citations

7.

Lv, Fangcheng, et al.. (2022). Enhanced Aramid/Al2O3 interfacial properties by PDDA modification for the preparation of composite insulating paper. Research on Chemical Intermediates. 48(11). 4815–4835. 17 indexed citations

8.

Chang, Xiaobin, Yuan Yuan, Lijuan Hu, et al.. (2022). The effects of intestinal air cavity on dose distribution of volume modulated arc therapy for cervical cancer. Annals of Palliative Medicine. 11(4). 1326–1335. 1 indexed citations

9.

Wu, Chao, et al.. (2022). Camera-Conditioned Stable Feature Generation for Isolated Camera Supervised Person Re-IDentification. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 20206–20216. 18 indexed citations

10.

Chang, Xiaobin, Frederick Tung, & Greg Mori. (2021). Learning Discriminative Prototypes with Dynamic Time Warping. 8391–8400. 19 indexed citations

11.

Chang, Xiaobin, Yongxin Yang, Tao Xiang, & Timothy M. Hospedales. (2019). Disjoint Label Space Transfer Learning with Common Factorised Space. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 3288–3295. 31 indexed citations

12.

Chang, Xiaobin, Timothy M. Hospedales, & Tao Xiang. (2018). Multi-level Factorisation Net for Person Re-identification. Edinburgh Research Explorer (University of Edinburgh). 2109–2118. 359 indexed citations breakdown →

13.

Chang, Xiaobin, Tao Xiang, & Timothy M. Hospedales. (2017). Deep Multi-View Learning with Stochastic Decorrelation Loss.. arXiv (Cornell University). 3 indexed citations

14.

Chang, Xiaobin, Tao Xiang, & Timothy M. Hospedales. (2016). L1 Graph Based Sparse Model for Label De-noising. Edinburgh Research Explorer. 74.1–74.12. 3 indexed citations

15.

Lu, Xi, Xiaobin Chang, Xiaohua Xie, Jian–Fang Hu, & Wei‐Shi Zheng. (2016). Facial skin beautification via sparse representation over learned layer dictionary. 2534–2539. 3 indexed citations

16.

Chang, Xiaobin, Wei‐Shi Zheng, & Jianguo Zhang. (2015). Learning Person–Person Interaction in Collective Activity Recognition. IEEE Transactions on Image Processing. 24(6). 1905–1918. 35 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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