Xiaohan Ding

4.8k citations

16 papers · 2.7k indexed · 3 hit papers · h-index 9

Impact in

Computer Vision and Pattern Recognition top 0.5%
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Advanced Image Processing Techniques
Media Technology top 1%
- Remote-Sensing Image Classification

Papers in ⓘ

Computer Vision and Pattern Recognition 11
- Advanced Neural Network Applications 10
- Human Pose and Action Recognition 4
- Multimodal Machine Learning Applications 2
Artificial Intelligence 10
- Domain Adaptation and Few-Shot Learning 8
- Adversarial Robustness in Machine Learning 3
- Anomaly Detection Techniques and Applications 2

Co-authors: Guiguang Ding (10 shared papers)Jungong Han (10 shared papers)Xiangyu Zhang (3 shared papers)Jian Sun (1 shared paper)Ningning Ma (1 shared paper)Yuchen Guo (6 shared papers)Sheng Tang (1 shared paper)Jianchao Tan (1 shared paper)
Journals: IEEE Transactions on Neural Networks and Learning Systems (2 papers)Materials Letters (1 paper)SHILAP Revista de lepidopterología (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)arXiv (Cornell University) (1 paper)
Partner nations: China United Kingdom United States

In The Last Decade

Xiaohan Ding

13 papers receiving 2.6k citations

Hit Papers

align trajectories log scale

RepVGG: Making VGG-style ConvNets Great Again 2021 · 1.5k citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2021 Rare & Special e-Zone (The Hong Kong University of Science and Technology)
2021 Diverse Branch Block: Building a Convolution as an Inception-like Unit
2019 ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks

Peers

Countries citing papers authored by Xiaohan Ding

Since Specialization

Citations

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

Fields of papers citing papers by Xiaohan Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaohan Ding, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaohan Ding Line = papers co-authored together Xiaohan Ding links everyone, so they are left out of the graph.

All Works

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

16 of 16 papers shown

#	Work
1	RepVGG: Making VGG-style ConvNets Great Again Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Xiaohan Ding, Xiangyu Zhang, Ningning Ma, Jungong Han, Guiguang Ding, Jian Sun Hit paper breakdown →	2021	1452
2	ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks Xiaohan Ding, Yuchen Guo, Guiguang Ding, Jungong Han Hit paper breakdown →	2019	512
3	Diverse Branch Block: Building a Convolution as an Inception-like Unit Xiaohan Ding, Xiangyu Zhang, Jungong Han, Guiguang Ding Hit paper breakdown →	2021	287
4	Centripetal SGD for Pruning Very Deep Convolutional Networks With Complicated Structure Xiaohan Ding, Guiguang Ding, Yuchen Guo, Jungong Han	2019	119
5	ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting 2021 IEEE/CVF International Conference on Computer Vision (ICCV) ·Xiaohan Ding, Tianxiang Hao, Jianchao Tan, Ji Liu, Jungong Han, Yuchen Guo, Guiguang Ding	2021	113
6	Auto-Balanced Filter Pruning for Efficient Convolutional Neural Networks Proceedings of the AAAI Conference on Artificial Intelligence ·Xiaohan Ding, Guiguang Ding, Jungong Han, Sheng Tang	2018	72
7	RepMLPNet: Hierarchical Vision MLP with Re-parameterized Locality 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ·Xiaohan Ding, Honghao Chen, Xiangyu Zhang, Jungong Han, Guiguang Ding	2022	48
8	Approximated Oracle Filter Pruning for Destructive CNN Width Optimization arXiv (Cornell University) ·Xiaohan Ding, Guiguang Ding, Yuchen Guo, Jungong Han, Chenggang Yan	2019	26
9	Dual-View Ranking with Hardness Assessment for Zero-Shot Learning Proceedings of the AAAI Conference on Artificial Intelligence ·Yuchen Guo, Guiguang Ding, Jungong Han, Xiaohan Ding, Sicheng Zhao, Zheng Wang, Chenggang Yan, Qionghai Dai	2019	12
10	Manipulating Identical Filter Redundancy for Efficient Pruning on Deep and Complicated CNN IEEE Transactions on Neural Networks and Learning Systems ·Tianxiang Hao, Xiaohan Ding, Jungong Han, Yuchen Guo, Guiguang Ding	2023	7
11	Role of erbium in microstructure and mechanical properties of Sn58Bi42 solder alloy Materials Letters ·Qiman Xu, Xiaohan Ding, Chen Chen, Jian Zhou, Feng Xue, Qin Chen	2021	7
12	Low-Rank Approximation for Sparse Attention in Multi-Modal LLMs Song Lin, Yukang Chen, Shuai Yang, Xiaohan Ding, Yixiao Ge, Ying-Cong Chen, Ying Shan	2024	2
13	Removal and recovery of SO₂ and NO in oxy-fuel combustion flue gas by calcium-based slurry SHILAP Revista de lepidopterología ·Yuyang Cai, Xiaohan Ding, Wei Li, Dunyu Liu, Jun Chen, Mingguo Ni, Kailong Xu, Jing Jin	2020	1
14	Designing Conversational AI to Support Think-Aloud Practice in Technical Interview Preparation for CS Students Taufiq Daryanto, Sophia Stil, Xiaohan Ding, Daniel Manesh, Sang Won Lee, Tim Lee, Stephanie Lunn, Sarah Rodriguez, Chris Brown, Eugenia Ha Rim Rho	2025	0
15	RefConv: Reparameterized Refocusing Convolution for Powerful ConvNets IEEE Transactions on Neural Networks and Learning Systems ·Zhicheng Cai, Xiaohan Ding, Qiu Shen, Xun Cao	2025	0
16	Estimation of Water-cement Ratio of Hardened Cement Paste Based on Microstructure Image and Convolutional Neural Network Xu Wu, Xin Zhao, Lin Wang, Bo Yang, Mazharul Islam, Xiaohan Ding, Xiaojing Zhang	2020	0

About Xiaohan Ding

Xiaohan Ding is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Media Technology and Mechanical Engineering, having authored 16 papers that have together received 2.7k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (10 papers), Domain Adaptation and Few-Shot Learning (8 papers), Human Pose and Action Recognition (4 papers), Adversarial Robustness in Machine Learning (3 papers), Multimodal Machine Learning Applications (2 papers), Anomaly Detection Techniques and Applications (2 papers), Intermetallics and Advanced Alloy Properties (1 paper) and Gas Sensing Nanomaterials and Sensors (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (1.7k citations), Media Technology (389 citations), Industrial and Manufacturing Engineering (258 citations), Artificial Intelligence (715 citations) and Computational Mathematics (9 citations). Xiaohan Ding has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Guiguang Ding, Jungong Han, Xiangyu Zhang, Jian Sun, Ningning Ma, Yuchen Guo, Sheng Tang, Jianchao Tan, Honghao Chen and Chenggang Yan. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, Materials Letters, SHILAP Revista de lepidopterología, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).

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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