Mingming Gong

8.1k total citations · 3 hit papers
102 papers, 3.5k citations indexed

About

Mingming Gong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Mingming Gong has authored 102 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Computer Vision and Pattern Recognition, 50 papers in Artificial Intelligence and 9 papers in Signal Processing. Recurrent topics in Mingming Gong's work include Domain Adaptation and Few-Shot Learning (25 papers), Advanced Image and Video Retrieval Techniques (16 papers) and Multimodal Machine Learning Applications (15 papers). Mingming Gong is often cited by papers focused on Domain Adaptation and Few-Shot Learning (25 papers), Advanced Image and Video Retrieval Techniques (16 papers) and Multimodal Machine Learning Applications (15 papers). Mingming Gong collaborates with scholars based in Australia, China and United States. Mingming Gong's co-authors include Dacheng Tao, Huan Fu, Kayhan Batmanghelich, Chaohui Wang, Tongliang Liu, Kun Zhang, Shanshan Zhao, Dacheng Tao, Shaoli Huang and Bernhard Schoelkopf and has published in prestigious journals such as Nano Letters, Bioinformatics and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Mingming Gong

93 papers receiving 3.4k 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.

Deep Ordinal Regression Network for Monocular Depth Estimation

2018 1.1k citations Huan Fu, Mingming Gong et al. profile →
CRIS: CLIP-Driven Referring Image Segmentation

2022 194 citations Mingming Gong, Tongliang Liu et al. profile →
Machine learning (ML)-centric resource management in cloud computing: A review and future directions

2022 101 citations Mingming Gong et al. profile →

Peers

Countries citing papers authored by Mingming Gong

Since Specialization

Citations

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

Fields of papers citing papers by Mingming Gong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingming Gong

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

#	Work	Indexed citations
1	Debiased Recommendation via Wasserstein Causal Balancing 2025 ·ACM Transactions on Information Systems ·Hao Wang, Zhichao Chen, (unknown), (unknown), (unknown), Haoxuan Li, Mingming Gong	3
2	Grab What You Need: Rethinking Complex Table Structure Recognition with Flexible Components Deliberation 2024 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Hao Liu, Xin Li, Mingming Gong, Bing Liu, Yunfei Wu, Deqiang Jiang, Yinsong Liu, (unknown)	2
3	Self-Distilled Disentangled Learning for Counterfactual Prediction 2024 ·(unknown), Mingming Gong, Lina Yao	2
4	Identification and Structural Characterization of Twisted Atomically Thin Bilayer Materials by Deep Learning 2024 ·Nano Letters ·Haitao Yang, (unknown), Heng Wu, (unknown), Yan Zhou, (unknown), (unknown), (unknown), Haosen Chen, Mingming Gong, Xin Zhang, Ping‐Heng Tan, Eduardo Hernández, Yong Xie	7
5	Semi-Supervised Learning Under General Causal Models 2024 ·IEEE Transactions on Neural Networks and Learning Systems ·(unknown), Heejung Shim, Jingge Zhu, Mingming Gong	2
6	Effect of depression and the antidepressant fluoxetine on osseointegration—A pre‐clinical in vivo experimental study 2024 ·Clinical Oral Implants Research ·(unknown), (unknown), Mingming Gong, (unknown), (unknown), Yanbing Zhang, Zhiyu Chen	1
7	Deep Corner 2023 ·International Journal of Computer Vision ·Shanshan Zhao, Mingming Gong, (unknown), Jing Zhang, Dacheng Tao	3
8	Instrumental Variable-Driven Domain Generalization with Unobserved Confounders 2023 ·ACM Transactions on Knowledge Discovery from Data ·(unknown), (unknown), Ruoxuan Xiong, Mingming Gong, (unknown), Fei Wu, Lanfen Lin, Kun Kuang	7
9	Learning multi-level weight-centric features for few-shot learning 2022 ·Pattern Recognition ·(unknown), Shaoli Huang, Shirui Pan, Mingming Gong, (unknown)	9
10	Adversarial UV-Transformation Texture Estimation for 3D Face Aging 2021 ·IEEE Transactions on Circuits and Systems for Video Technology ·(unknown), Ruxin Wang, Mingming Gong, Jun Cheng, Zhengtao Yu, Dapeng Tao	8
11	Unpaired data empowers association tests 2020 ·Bioinformatics ·Mingming Gong, Peng Liu, Frank C. Sciurba, Petar Stojanov, Dacheng Tao, George C. Tseng, Kun Zhang, Kayhan Batmanghelich	1
12	LogDet Metric-Based Domain Adaptation 2020 ·IEEE Transactions on Neural Networks and Learning Systems ·Youfa Liu, Bo Du, Weiping Tu, Mingming Gong, Yuhong Guo, Dacheng Tao	7
13	Dual T: Reducing Estimation Error for Transition Matrix in Label-noise Learning 2020 ·Neural Information Processing Systems ·Yu Yao, Tongliang Liu, Bo Han, Mingming Gong, Jiankang Deng, Gang Niu, Masashi Sugiyama	5
14	LTF: A Label Transformation Framework for Correcting Label Shift 2020 ·International Conference on Machine Learning ·Jiaxian Guo, Mingming Gong, Tongliang Liu, Kun Zhang, Dacheng Tao	8
15	Domain Generalization via Entropy Regularization 2020 ·Neural Information Processing Systems ·Shanshan Zhao, Mingming Gong, Tongliang Liu, Huan Fu, Dacheng Tao	82
16	Improving clinical disease subtyping and future events prediction through a chest CT‐based deep learning approach 2020 ·Medical Physics ·(unknown), Mingming Gong, Craig Riley, Frank C. Sciurba, Kayhan Batmanghelich	14
17	Receptive Field Size Versus Model Depth for Single Image Super-Resolution 2019 ·IEEE Transactions on Image Processing ·Ruxin Wang, Mingming Gong, Dacheng Tao	20
18	Specific and Shared Causal Relation Modeling and Mechanism-Based Clustering 2019 ·Minerva Access (University of Melbourne) ·Biwei Huang, Kun Zhang, Pengtao Xie, Mingming Gong, Eric P. Xing, Clark Glymour	5
19	Causal Discovery with Linear Non-Gaussian Models under Measurement Error: Structural Identifiability Results. 2018 ·Minerva Access (University of Melbourne) ·Kun Zhang, Mingming Gong, Joseph Ramsey, Kayhan Batmanghelich, Peter Spirtes, Clark Glymour	5
20	Discovering Temporal Causal Relations from Subsampled Data 2015 ·MPG.PuRe (Max Planck Society) ·Mingming Gong, Kun Zhang, Bernhard Schoelkopf, Dacheng Tao, Philipp Geiger	23

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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