Dacheng Tao

4.5k total citations · 3 hit papers
54 papers, 2.9k citations indexed

About

Dacheng Tao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Dacheng Tao has authored 54 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Vision and Pattern Recognition, 33 papers in Artificial Intelligence and 6 papers in Media Technology. Recurrent topics in Dacheng Tao's work include Domain Adaptation and Few-Shot Learning (12 papers), Multimodal Machine Learning Applications (7 papers) and Generative Adversarial Networks and Image Synthesis (6 papers). Dacheng Tao is often cited by papers focused on Domain Adaptation and Few-Shot Learning (12 papers), Multimodal Machine Learning Applications (7 papers) and Generative Adversarial Networks and Image Synthesis (6 papers). Dacheng Tao collaborates with scholars based in Australia, China and United States. Dacheng Tao's co-authors include Chang Xu, Chaoyue Wang, Xinbo Gao, Xuelong Li, Bo Du, Lefei Zhang, Jingyuan Li, Chaohui Wang, Xin Yao and Ning Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Dacheng Tao

50 papers receiving 2.8k 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.

Recurrent Feature Reasoning for Image Inpainting

2020 295 citations Lefei Zhang, Dacheng Tao et al. profile →
Evolutionary Generative Adversarial Networks

2019 235 citations Chaoyue Wang, Chang Xu et al. profile →
Tensorized Bipartite Graph Learning for Multi-View Clustering

2022 194 citations Dacheng Tao et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dacheng Tao Australia	24	2.1k	921	308	138	126	54	2.9k
Mathilde Caron United States	5	1.8k 0.8×	1.4k 1.5×	267 0.9×	154 1.1×	119 0.9×	10	3.1k
Hongyuan Zhu Singapore	27	2.0k 0.9×	1.1k 1.2×	382 1.2×	129 0.9×	69 0.5×	77	2.8k
Weilin Huang China	24	2.6k 1.2×	840 0.9×	687 2.2×	132 1.0×	85 0.7×	47	3.1k
Roger Grosse Canada	14	1.5k 0.7×	1.1k 1.2×	215 0.7×	299 2.2×	168 1.3×	36	2.7k
Xu Jia China	17	1.9k 0.9×	407 0.4×	405 1.3×	88 0.6×	125 1.0×	65	2.5k
Matthieu Cord France	27	1.8k 0.8×	1.1k 1.2×	234 0.8×	171 1.2×	100 0.8×	102	2.6k
Pengchuan Zhang United States	16	2.6k 1.2×	1.3k 1.4×	134 0.4×	102 0.7×	97 0.8×	33	3.2k
Liujuan Cao China	24	1.9k 0.9×	940 1.0×	230 0.7×	108 0.8×	75 0.6×	108	2.7k
Zuxuan Wu China	28	2.3k 1.1×	1.4k 1.5×	158 0.5×	178 1.3×	100 0.8×	82	3.0k
Zhijun Fang China	27	2.0k 0.9×	650 0.7×	456 1.5×	206 1.5×	188 1.5×	162	3.0k

Countries citing papers authored by Dacheng Tao

Since Specialization

Citations

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

Fields of papers citing papers by Dacheng Tao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dacheng Tao

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

Liu, Xuebo, et al.. (2024). Speech Sense Disambiguation: Tackling Homophone Ambiguity in End-to-End Speech Translation. 8020–8035. 1 indexed citations

Zhang, Qiming, et al.. (2024). SimDistill: Simulated Multi-Modal Distillation for BEV 3D Object Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 38(7). 7460–7468. 6 indexed citations

Zhan, Yibing, et al.. (2024). Multi-Step Denoising Scheduled Sampling: Towards Alleviating Exposure Bias for Diffusion Models. Proceedings of the AAAI Conference on Artificial Intelligence. 38(5). 4667–4675.

Cheng, Jun, Fuxiang Wu, Liu Liu, et al.. (2023). InDecGAN: Learning to Generate Complex Images From Captions via Independent Object-Level Decomposition and Enhancement. IEEE Transactions on Multimedia. 25. 8279–8293.

Ding, Liang, Shuhan Qi, Meng Fang, et al.. (2023). Dynamic Contrastive Distillation for Image-Text Retrieval. IEEE Transactions on Multimedia. 25. 8383–8395. 23 indexed citations

Fan, Jinlong, Jing Zhang, & Dacheng Tao. (2023). SIR: Self-Supervised Image Rectification via Seeing the Same Scene From Multiple Different Lenses. IEEE Transactions on Image Processing. 32. 865–877. 12 indexed citations

Song, Dongjin, et al.. (2022). Hierarchical Prototype Networks for Continual Graph Representation Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(4). 4622–4636. 21 indexed citations

Liu, Li, et al.. (2022). WebUAV-3M: A Benchmark for Unveiling the Power of Million-Scale Deep UAV Tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(7). 9186–9205. 21 indexed citations

Wang, Xiao, Zhe Chen, Bo Jiang, et al.. (2022). Beyond Greedy Search: Tracking by Multi-Agent Reinforcement Learning-Based Beam Search. IEEE Transactions on Image Processing. 31. 6239–6254. 20 indexed citations

10.

Yu, Baosheng & Dacheng Tao. (2021). Heatmap Regression via Randomized Rounding. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(11). 8276–8289. 21 indexed citations

11.

Fan, Mingyu, et al.. (2021). Adaptive Data Structure Regularized Multiclass Discriminative Feature Selection. IEEE Transactions on Neural Networks and Learning Systems. 33(10). 5859–5872. 42 indexed citations

12.

Wang, Chaoyue, et al.. (2021). Exposure Trajectory Recovery From Motion Blur. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(11). 7490–7504. 17 indexed citations

13.

Zhang, Jingwei, Tongliang Liu, & Dacheng Tao. (2021). On the Rates of Convergence From Surrogate Risk Minimizers to the Bayes Optimal Classifier. IEEE Transactions on Neural Networks and Learning Systems. 33(10). 5766–5774. 3 indexed citations

14.

Liu, Ji, et al.. (2021). Stochastically Controlled Compositional Gradient for Composition Problems. IEEE Transactions on Neural Networks and Learning Systems. 34(2). 611–622. 2 indexed citations

15.

Xu, Chang, et al.. (2021). Bilinear Graph Networks for Visual Question Answering. IEEE Transactions on Neural Networks and Learning Systems. 34(2). 1023–1034. 41 indexed citations

16.

Han, Kai, Yunhe Wang, Chang Xu, et al.. (2021). Learning Versatile Convolution Filters for Efficient Visual Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(11). 7731–7746. 5 indexed citations

17.

Xiong, Hao, Chaoyue Wang, Xinchao Wang, & Dacheng Tao. (2020). Deep Representation Calibrated Bayesian Neural Network for Semantically Explainable Face Inpainting and Editing. IEEE Access. 8. 13457–13466. 6 indexed citations

18.

Du, Yali, Lei Han, Meng Fang, et al.. (2019). LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning. Neural Information Processing Systems. 32. 4403–4414. 45 indexed citations

19.

He, Fengxiang, et al.. (2019). Progressive Reconstruction of Visual Structure for Image Inpainting. IEEE Conference Proceedings. 2019. 5961–5970. 1 indexed citations

20.

Xu, Chang, et al.. (2019). Graph Reasoning Networks for Visual Question Answering.. arXiv (Cornell University). 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.

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