Changyou Chen

2.1k total citations
55 papers, 1.0k citations indexed

About

Changyou Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Changyou Chen has authored 55 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 31 papers in Computer Vision and Pattern Recognition and 4 papers in Signal Processing. Recurrent topics in Changyou Chen's work include Domain Adaptation and Few-Shot Learning (16 papers), Multimodal Machine Learning Applications (11 papers) and Generative Adversarial Networks and Image Synthesis (10 papers). Changyou Chen is often cited by papers focused on Domain Adaptation and Few-Shot Learning (16 papers), Multimodal Machine Learning Applications (11 papers) and Generative Adversarial Networks and Image Synthesis (10 papers). Changyou Chen collaborates with scholars based in United States, China and United Kingdom. Changyou Chen's co-authors include Kui Ren, Tianhang Zheng, Junsong Yuan, Chunyuan Li, Lawrence Carin, Bo Li, Ruiyi Zhang, Yufan Zhou, Yunchen Pu and Jinhui Xu and has published in prestigious journals such as IEEE Access, SAE technical papers on CD-ROM/SAE technical paper series and Advanced Synthesis & Catalysis.

In The Last Decade

Changyou Chen

51 papers receiving 974 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Changyou Chen United States	17	531	511	94	80	56	55	1.0k
Hao Zhao China	15	486 0.9×	143 0.3×	80 0.9×	41 0.5×	64 1.1×	47	768
Shuyang Gu China	8	723 1.4×	156 0.3×	106 1.1×	62 0.8×	58 1.0×	26	984
Oliver J. Woodford United Kingdom	14	562 1.1×	210 0.4×	62 0.7×	26 0.3×	49 0.9×	23	788
Jingwen Ye China	12	606 1.1×	259 0.5×	36 0.4×	30 0.4×	57 1.0×	19	856
Chenglong Wang China	14	316 0.6×	378 0.7×	77 0.8×	120 1.5×	19 0.3×	36	811
Linbo Qiao China	14	387 0.7×	430 0.8×	57 0.6×	44 0.6×	97 1.7×	57	911
Xiaohu Qie China	15	635 1.2×	310 0.6×	60 0.6×	104 1.3×	13 0.2×	32	1.0k
Junni Zou China	21	810 1.5×	203 0.4×	108 1.1×	300 3.8×	92 1.6×	133	1.4k
Yijun Li United States	16	1.2k 2.3×	190 0.4×	61 0.6×	110 1.4×	157 2.8×	42	1.4k
Shuai Yang China	19	973 1.8×	163 0.3×	106 1.1×	69 0.9×	111 2.0×	79	1.3k

Countries citing papers authored by Changyou Chen

Since Specialization

Citations

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

Fields of papers citing papers by Changyou Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changyou Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Changyou Chen. A scholar is included among the top collaborators of Changyou Chen 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 Changyou Chen. Changyou Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Chen, Jian, Ruiyi Zhang, Yufan Zhou, et al.. (2024). TextLap: Customizing Language Models for Text-to-Layout Planning. 14275–14289. 2 indexed citations

Zhang, Ruiyi, Yanzhe Zhang, Jian Chen, et al.. (2024). TRINS: Towards Multimodal Language Models that Can Read. 22584–22594.

Kumar, Yaman, et al.. (2023). Automatic Essay Scoring Systems Are Both Overstable And Oversensitive: Explaining Why And Proposing Defenses. 14(1). 1–33. 5 indexed citations

Kumar, Yaman, et al.. (2023). Persuasion Strategies in Advertisements. Proceedings of the AAAI Conference on Artificial Intelligence. 37(1). 57–66. 6 indexed citations

Kumar, Yaman, et al.. (2022). What Do Audio Transformers Hear? Probing Their Representations For Language Delivery & Structure. 910–925. 10 indexed citations

Zhao, Yang & Changyou Chen. (2021). Unpaired Image-to-Image Translation via Latent Energy Transport. 16413–16422. 20 indexed citations

Chen, Changyou, et al.. (2021). Fine-Grained Attention and Feature-Sharing Generative Adversarial Networks for Single Image Super-Resolution. IEEE Transactions on Multimedia. 24. 1473–1487. 52 indexed citations

Hao, Weituo, Mostafa El‐Khamy, Jianyi Zhang, et al.. (2021). Towards Fair Federated Learning with Zero-Shot Data Augmentation. 3305–3314. 57 indexed citations

Li, Chunyuan, et al.. (2020). Feature Quantization Improves GAN Training. International Conference on Machine Learning. 1. 11376–11386. 4 indexed citations

10.

Yu, Ping, et al.. (2020). Bayesian Meta Sampling for Fast Uncertainty Adaptation. International Conference on Learning Representations. 5 indexed citations

11.

Yang, Fan, et al.. (2020). Bayesian Multi-type Mean Field Multi-agent Imitation Learning. Neural Information Processing Systems. 33. 2469–2478. 3 indexed citations

12.

Li, Chunyuan, et al.. (2020). Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning. arXiv (Cornell University). 7 indexed citations

13.

Yang, Fan, et al.. (2020). Variational Adversarial Kernel Learned Imitation Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 34(4). 6599–6606. 7 indexed citations

14.

Sun, Xianfang, et al.. (2019). Multi-Scale Residual Hierarchical Dense Networks for Single Image Super-Resolution. IEEE Access. 7. 60572–60583. 18 indexed citations

15.

Zhang, Ruiyi, Tong Yu, Yilin Shen, Hongxia Jin, & Changyou Chen. (2019). Text-Based Interactive Recommendation via Constraint-Augmented Reinforcement Learning. Neural Information Processing Systems. 32. 15188–15198. 16 indexed citations

16.

Huai, Mengdi, Hongfei Xue, Chenglin Miao, et al.. (2019). Deep Metric Learning: The Generalization Analysis and an Adaptive Algorithm. 2535–2541. 14 indexed citations

17.

Li, Chunyuan, et al.. (2019). Implicit Deep Latent Variable Models for Text Generation. 3944–3954. 24 indexed citations

18.

Zheng, Tianhang, Changyou Chen, & Kui Ren. (2019). Distributionally Adversarial Attack. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 2253–2260. 54 indexed citations

19.

Chen, Changyou, Ruiyi Zhang, Wenlin Wang, Bai Li, & Liqun Chen. (2018). A Unified Particle-Optimization Framework for Scalable Bayesian Sampling.. Uncertainty in Artificial Intelligence. 746–755. 2 indexed citations

20.

Li, Chunyuan, Hao Liu, Changyou Chen, et al.. (2017). ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching. Neural Information Processing Systems. 30. 5495–5503. 57 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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