Jiatao Gu

10.6k total citations · 3 hit papers
48 papers, 3.4k citations indexed

About

Jiatao Gu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Jiatao Gu has authored 48 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 4 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Jiatao Gu's work include Natural Language Processing Techniques (31 papers), Topic Modeling (25 papers) and Speech Recognition and Synthesis (13 papers). Jiatao Gu is often cited by papers focused on Natural Language Processing Techniques (31 papers), Topic Modeling (25 papers) and Speech Recognition and Synthesis (13 papers). Jiatao Gu collaborates with scholars based in United States, Israel and Hong Kong. Jiatao Gu's co-authors include Victor O. K. Li, Hang Li, Zhengdong Lu, James J. Q. Yu, Changhan Wang, Marjan Ghazvininejad, Luke Zettlemoyer, Naman Goyal, Xian Li and Wen Yu and has published in prestigious journals such as Chemical Communications, IEEE Transactions on Power Systems and ACM Transactions on Graphics.

In The Last Decade

Jiatao Gu

44 papers receiving 3.2k 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.

Incorporating Copying Mechanism in Sequence-to-Sequence Learning

2016 789 citations Jiatao Gu, Zhengdong Lu et al. profile →
Multilingual Denoising Pre-training for Neural Machine Translation

2020 561 citations Jiatao Gu, Marjan Ghazvininejad et al. profile →
Neural actor

2021 167 citations Lingjie Liu, Jiatao Gu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jiatao Gu United States	25	2.5k	917	317	243	197	48	3.4k
Joongheon Kim South Korea	29	1.0k 0.4×	489 0.5×	1.0k 3.2×	117 0.5×	493 2.5×	207	3.1k
Yingjie Xia China	22	487 0.2×	703 0.8×	211 0.7×	91 0.4×	271 1.4×	117	1.7k
Chai Kiat Yeo Singapore	26	663 0.3×	233 0.3×	650 2.1×	135 0.6×	314 1.6×	223	2.6k
Lei Ma Japan	32	2.2k 0.9×	770 0.8×	266 0.8×	167 0.7×	1.0k 5.2×	148	3.7k
Philipp Rohlfshagen United Kingdom	13	1.3k 0.5×	386 0.4×	140 0.4×	160 0.7×	96 0.5×	24	2.1k
Una-May O’Reilly United States	26	1.6k 0.6×	226 0.2×	328 1.0×	196 0.8×	382 1.9×	147	3.0k
Minnan Luo China	25	1.5k 0.6×	999 1.1×	112 0.4×	124 0.5×	390 2.0×	96	2.4k
Zheng Qin China	32	1.5k 0.6×	1.2k 1.4×	328 1.0×	139 0.6×	848 4.3×	170	3.5k
Daniel Whitehouse United Kingdom	10	1.3k 0.5×	374 0.4×	127 0.4×	139 0.6×	84 0.4×	15	1.9k

Countries citing papers authored by Jiatao Gu

Since Specialization

Citations

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

Fields of papers citing papers by Jiatao Gu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiatao Gu

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

1.

Wang, Yufu, et al.. (2025). PhysHMR: Learning Humanoid Control Policies from Vision for Physically Plausible Human Motion Reconstruction. 1–10.

2.

Zhai, Shuangfei, et al.. (2025). World-consistent Video Diffusion with Explicit 3D Modeling. 21685–21695.

3.

Wu, Zhuofeng, et al.. (2024). Divide-or-Conquer? Which Part Should You Distill Your LLM?. 2572–2585. 3 indexed citations

4.

Wang, Peng, Yuan Liu, Jiatao Gu, et al.. (2024). ProLiF: Progressively-connected Light Field network for efficient view synthesis. Computers & Graphics. 120. 103913–103913.

5.

Chen, Hansheng, Jiatao Gu, Anpei Chen, et al.. (2023). Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction. 2416–2425. 48 indexed citations

6.

Chen, Peng‐Jen, Changhan Wang, Juan Pino, et al.. (2022). Enhanced Direct Speech-to-Speech Translation Using Self-supervised Pre-training and Data Augmentation. Interspeech 2022. 5195–5199. 24 indexed citations

7.

Wu, Zhuofeng, et al.. (2022). IDPG: An Instance-Dependent Prompt Generation Method. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 5507–5521. 26 indexed citations

8.

Lee, Ann, Peng‐Jen Chen, Changhan Wang, et al.. (2022). Direct Speech-to-Speech Translation With Discrete Units. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 3327–3339. 63 indexed citations

9.

Gu, Jiatao & Xiang Kong. (2021). Fully Non-autoregressive Neural Machine Translation: Tricks of the Trade. 120–133. 55 indexed citations

10.

Wang, Changhan, Anne Wu, Jiatao Gu, & Juan Pino. (2021). CoVoST 2 and Massively Multilingual Speech Translation. 2247–2251. 50 indexed citations

11.

He, Junxian, Jiatao Gu, Jiajun Shen, & Marc’Aurelio Ranzato. (2020). Revisiting Self-Training for Neural Sequence Generation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 36 indexed citations

12.

Ma, Xutai, et al.. (2020). Monotonic Multihead Attention. arXiv (Cornell University). 22 indexed citations

13.

Tran, Chau, Yuqing Tang, Xian Li, & Jiatao Gu. (2020). Cross-lingual Retrieval for Iterative Self-Supervised Training. Neural Information Processing Systems. 33. 2207–2219. 16 indexed citations

14.

Kasai, Jungo, James Cross, Marjan Ghazvininejad, & Jiatao Gu. (2020). Parallel Machine Translation with Disentangled Context Transformer. arXiv (Cornell University). 12 indexed citations

15.

Kasai, Jungo, James Cross, Marjan Ghazvininejad, & Jiatao Gu. (2020). Non-autoregressive Machine Translation with Disentangled Context Transformer. International Conference on Machine Learning. 5144–5155. 11 indexed citations

16.

Gu, Jiatao, Changhan Wang, & Junbo Zhao. (2019). Levenshtein Transformer. Neural Information Processing Systems. 32. 11181–11191. 56 indexed citations

17.

Gu, Jiatao, et al.. (2018). Meta-Learning for Low-Resource Neural Machine Translation. 3622–3631. 179 indexed citations

18.

Gu, Jiatao, Kyunghyun Cho, & Victor O. K. Li. (2017). Trainable Greedy Decoding for Neural Machine Translation. 1968–1978. 27 indexed citations

19.

Gu, Jiatao, James Bradbury, Caiming Xiong, Victor O. K. Li, & Richard Socher. (2017). Non-Autoregressive Neural Machine Translation. arXiv (Cornell University). 55 indexed citations

20.

Gu, Jiatao, Zhengdong Lu, Hang Li, & Victor O. K. Li. (2016). Incorporating Copying Mechanism in Sequence-to-Sequence Learning. 1631–1640. 789 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact