Lemao Liu

1.7k total citations
65 papers, 772 citations indexed

About

Lemao Liu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Lemao Liu has authored 65 papers receiving a total of 772 indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Artificial Intelligence, 24 papers in Computer Vision and Pattern Recognition and 4 papers in Molecular Biology. Recurrent topics in Lemao Liu's work include Natural Language Processing Techniques (59 papers), Topic Modeling (58 papers) and Multimodal Machine Learning Applications (15 papers). Lemao Liu is often cited by papers focused on Natural Language Processing Techniques (59 papers), Topic Modeling (58 papers) and Multimodal Machine Learning Applications (15 papers). Lemao Liu collaborates with scholars based in China, Japan and Hong Kong. Lemao Liu's co-authors include Eiichiro Sumita, Masao Utiyama, Shuming Shi, Kehai Chen, Rui Wang, Andrew Finch, Tiejun Zhao, Andrew Finch, Xintong Li and Deng Cai and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Artificial Intelligence Research and IEEE/ACM Transactions on Audio Speech and Language Processing.

In The Last Decade

Lemao Liu

60 papers receiving 714 citations

Peers

Lemao Liu

AI

CVPR

IS

MB

SP

Libo Qin China

Devendra Singh Sachan United States

Tengchao Lv China

Boxing Chen China

Panupong Pasupat United States

Shahram Khadivi Iran

Wangchunshu Zhou China

Minjoon Seo South Korea

Muyun Yang China

Diego Marcheggiani Italy

Libo Qin China

Lemao Liu

904 ×1.3

AI

199 ×0.7

CVPR

53 ×1.1

IS

16 ×0.6

MB

12 ×0.6

SP

Citations per year, relative to Lemao Liu Lemao Liu (= 1×) peers Libo Qin

Countries citing papers authored by Lemao Liu

Since Specialization

Citations

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

Fields of papers citing papers by Lemao Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lemao Liu

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

Liu, Lemao, et al.. (2025). DivLogicEval: A Framework for Benchmarking Logical Reasoning Evaluation in Large Language Models. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 901–915.

2.

Li, Huayang, Deng Cai, Zhi Qu, et al.. (2024). Cross-lingual Contextualized Phrase Retrieval. 6562–6576.

3.

Huang, Xinting, Tingchen Fu, Qintong Li, et al.. (2024). BBA: Bi-Modal Behavioral Alignment for Reasoning with Large Vision-Language Models. 7255–7279. 1 indexed citations

4.

Wang, Yifan, et al.. (2024). Hint-Enhanced In-Context Learning Wakes Large Language Models Up For Knowledge-Intensive Tasks. 10276–10280. 1 indexed citations

5.

Yang, Cheng, Guoping Huang, Mo Yu, et al.. (2024). An Energy-based Model for Word-level AutoCompletion in Computer-aided Translation. Transactions of the Association for Computational Linguistics. 12. 137–156.

6.

Liu, Lemao, et al.. (2023). Discourse-Aware Graph Networks for Textual Logical Reasoning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(10). 11668–11688. 2 indexed citations

7.

Liu, Lemao, et al.. (2023). Rethinking Word-Level Auto-Completion in Computer-Aided Translation. 15405–15415. 2 indexed citations

8.

Jiang, Haiyun, et al.. (2023). Unsupervised Keyphrase Extraction by Learning Neural Keyphrase Set Function. 2482–2494. 3 indexed citations

9.

Huang, Guoping, et al.. (2023). Rethinking Translation Memory Augmented Neural Machine Translation. 2589–2605. 1 indexed citations

10.

Xu, Jiahao, et al.. (2023). SimCSE++: Improving Contrastive Learning for Sentence Embeddings from Two Perspectives. CityU Scholars. 12028–12040. 1 indexed citations

11.

Jiang, Haiyun, et al.. (2023). Sen2Pro: A Probabilistic Perspective to Sentence Embedding from Pre-trained Language Model. 315–333. 1 indexed citations

12.

Liu, Lemao, Francisco Casacuberta, George Foster, et al.. (2023). Findings of the Word-Level AutoCompletion Shared Task in WMT 2023. 654–662. 5 indexed citations

13.

Liu, Lemao, et al.. (2022). Towards Efficient Dialogue Pre-training with Transferable and Interpretable Latent Structure. 10051–10063. 2 indexed citations

14.

Wang, Qian, et al.. (2020). Touch Editing: A Flexible One-Time Interaction Approach for Translation. 1–11. 7 indexed citations

15.

Li, Huayang, et al.. (2020). On the Branching Bias of Syntax Extracted from Pre-trained Language Models. 4473–4478. 2 indexed citations

16.

Wang, Rui, Masao Utiyama, Lemao Liu, Kehai Chen, & Eiichiro Sumita. (2017). Instance Weighting for Neural Machine Translation Domain Adaptation. 1482–1488. 76 indexed citations

17.

Liu, Lemao, Tiejun Zhao, Taro Watanabe, & Eiichiro Sumita. (2013). Tuning SMT with a Large Number of Features via Online Feature Grouping. International Joint Conference on Natural Language Processing. 279–285. 2 indexed citations

18.

Liu, Lemao, Taro Watanabe, Eiichiro Sumita, & Tiejun Zhao. (2013). Additive Neural Networks for Statistical Machine Translation. Meeting of the Association for Computational Linguistics. 1. 791–801. 24 indexed citations

19.

Liu, Lemao, et al.. (2012). Locally Training the Log-Linear Model for SMT. Empirical Methods in Natural Language Processing. 402–411. 15 indexed citations

20.

Liu, Lemao, et al.. (2012). Expected Error Minimization with Ultraconservative Update for SMT. International Conference on Computational Linguistics. 723–732. 2 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.

Explore authors with similar magnitude of impact