Chongyang Tao

2.5k total citations
63 papers, 980 citations indexed

About

Chongyang Tao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Chongyang Tao has authored 63 papers receiving a total of 980 indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 7 papers in Information Systems. Recurrent topics in Chongyang Tao's work include Topic Modeling (51 papers), Natural Language Processing Techniques (35 papers) and Speech and dialogue systems (25 papers). Chongyang Tao is often cited by papers focused on Topic Modeling (51 papers), Natural Language Processing Techniques (35 papers) and Speech and dialogue systems (25 papers). Chongyang Tao collaborates with scholars based in China, United States and Australia. Chongyang Tao's co-authors include Dongyan Zhao, Rui Yan, Wei Wu, Can Xu, Wenpeng Hu, Lili Mou, Daxin Jiang, Xueliang Zhao, Shen Gao and Xiubo Geng and has published in prestigious journals such as Journal of Applied Physics, Journal of Alloys and Compounds and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Chongyang Tao

55 papers receiving 947 citations

Peers

Chongyang Tao

CVPR

Danilo Croce Italy

Longyue Wang China

Alisa Liu United States

James Clarke United Kingdom

Fuli Luo China

Sarath Chandar Canada

Canwen Xu United States

Panpan Wang China

Linting Xue United States

Danilo Croce Italy

Chongyang Tao

666 ×0.8

111 ×0.5

CVPR

133 ×1.4

10 ×0.3

22 ×1.0

Citations per year, relative to Chongyang Tao Chongyang Tao (= 1×) peers Danilo Croce

Countries citing papers authored by Chongyang Tao

Since Specialization

Citations

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

Fields of papers citing papers by Chongyang Tao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chongyang Tao

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

Tao, Chongyang, et al.. (2025). Large Language Model-Aware In-Context Learning for Code Generation. ACM Transactions on Software Engineering and Methodology. 2 indexed citations

Tao, Chongyang, et al.. (2025). Tri-modal hierarchical nanoporous copper as hydrogen evolution reaction catalysts with low Tafel slopes via stepwise fabrication of surface alloying in molten tin and electrochemical dealloying of copper foams. Journal of Alloys and Compounds. 1037. 182391–182391. 1 indexed citations

Wang, G. Gary, Jinjin Li, Bo Wang, & Chongyang Tao. (2024). Characterizing master fringes in competence-based knowledge space theory for personalized learning applications. Journal of Mathematical Psychology. 124. 102897–102897.

Tao, Chongyang, Chang Liu, Tao Shen, et al.. (2024). ADAM: Dense Retrieval Distillation with Adaptive Dark Examples. 11639–11651. 1 indexed citations

Tao, Chongyang, et al.. (2024). Re-Reading Improves Reasoning in Large Language Models. 15549–15575. 5 indexed citations

Zhou, Yucheng, Tao Shen, Xiubo Geng, et al.. (2024). Fine-Grained Distillation for Long Document Retrieval. Proceedings of the AAAI Conference on Artificial Intelligence. 38(17). 19732–19740. 2 indexed citations

Tao, Chongyang, Xiubo Geng, Tao Shen, et al.. (2024). Synergistic Interplay between Search and Large Language Models for Information Retrieval. 9571–9583. 2 indexed citations

Tao, Chongyang, et al.. (2023). CORE: Cooperative Training of Retriever-Reranker for Effective Dialogue Response Selection. 3102–3114.

Chen, Xiuying, Guodong Long, Chongyang Tao, et al.. (2023). Improving the Robustness of Summarization Systems with Dual Augmentation. 6846–6857. 5 indexed citations

10.

Sun, Qing‐Feng, Can Xu, Pu Zhao, et al.. (2023). MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation. 7348–7363. 7 indexed citations

11.

Tao, Chongyang, Lanyun Li, Guodong Sun, et al.. (2023). Microstructure and mechanical properties of in-situ Ti5Si3/TC4 composites via spark plasma sintering and hot rolling. Journal of Alloys and Compounds. 969. 172404–172404. 24 indexed citations

12.

Liu, Chang, Xu Tan, Chongyang Tao, et al.. (2022). ProphetChat: Enhancing Dialogue Generation with Simulation of Future Conversation. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 962–973. 4 indexed citations

13.

Liu, Chang, et al.. (2022). Multi-Granularity Structural Knowledge Distillation for Language Model Compression. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 1001–1011. 29 indexed citations

14.

Wang, Yufei, Can Xu, Qing‐Feng Sun, et al.. (2022). PromDA: Prompt-based Data Augmentation for Low-Resource NLU Tasks. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 4242–4255. 41 indexed citations

15.

Liu, Chang, et al.. (2022). Rethinking Task-Specific Knowledge Distillation: Contextualized Corpus as Better Textbook. 10652–10658. 4 indexed citations

16.

Tao, Chongyang, et al.. (2022). PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings. 12052–12066. 10 indexed citations

17.

Tao, Chongyang, Shen Gao, Juntao Li, et al.. (2021). Learning to Organize a Bag of Words into Sentences with Neural Networks: An Empirical Study. 1682–1691. 3 indexed citations

18.

Zhao, Xueliang, Wei Wu, Can Xu, et al.. (2020). Knowledge-Grounded Dialogue Generation with Pre-trained Language Models. 3377–3390. 108 indexed citations

19.

Xu, Can, et al.. (2020). Zero-Resource Knowledge-Grounded Dialogue Generation. Neural Information Processing Systems. 33. 8475–8485. 7 indexed citations

20.

Hu, Wenpeng, Lin Zhou, Bing Liu, et al.. (2019). OVERCOMING CATASTROPHIC FORGETTING FOR CONTINUAL LEARNING VIA MODEL ADAPTATION. International Conference on Learning Representations. 36 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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