Haozhe Ji

678 total citations
9 papers, 299 citations indexed

About

Haozhe Ji is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Infectious Diseases. According to data from OpenAlex, Haozhe Ji has authored 9 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 0 papers in Infectious Diseases. Recurrent topics in Haozhe Ji's work include Natural Language Processing Techniques (9 papers), Topic Modeling (9 papers) and Multimodal Machine Learning Applications (4 papers). Haozhe Ji is often cited by papers focused on Natural Language Processing Techniques (9 papers), Topic Modeling (9 papers) and Multimodal Machine Learning Applications (4 papers). Haozhe Ji collaborates with scholars based in China, United Kingdom and Hong Kong. Haozhe Ji's co-authors include Minlie Huang, Pei Ke, Xiaoyan Zhu, Siyang Liu, Maosong Sun, Yankai Lin, Zhiyuan Liu, Furu Wei, Shaohan Huang and Xin Cui and has published in prestigious journals such as arXiv (Cornell University), Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing and Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

In The Last Decade

Haozhe Ji

9 papers receiving 285 citations

Peers

Countries citing papers authored by Haozhe Ji

Since Specialization

Citations

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

Fields of papers citing papers by Haozhe Ji

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haozhe Ji

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

All Works

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9 of 9 papers shown

#	Work	Indexed citations
1	Curriculum-Based Self-Training Makes Better Few-Shot Learners for Data-to-Text Generation 2022 ·Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence ·Pei Ke, Haozhe Ji, (unknown), (unknown), Junlan Feng, Xiaoyan Zhu, Minlie Huang	2
2	LaMemo: Language Modeling with Look-Ahead Memory 2022 ·Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ·Haozhe Ji, Rongsheng Zhang, (unknown), (unknown), Minlie Huang	3
3	JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs 2021 ·Pei Ke, Haozhe Ji, Ran Yu, Xin Cui, Liwei Wang, Linfeng Song, Xiaoyan Zhu, Minlie Huang	50
4	DiscoDVT: Generating Long Text with Discourse-Aware Discrete Variational Transformer 2021 ·Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing ·Haozhe Ji, Minlie Huang	10
5	Generating Commonsense Explanation by Extracting Bridge Concepts from Reasoning Paths 2020 ·Haozhe Ji, Pei Ke, Shaohan Huang, Furu Wei, Minlie Huang	7
6	SentiLARE: Sentiment-Aware Language Representation Learning with Linguistic Knowledge 2020 ·Pei Ke, Haozhe Ji, Siyang Liu, Xiaoyan Zhu, Minlie Huang	85
7	Language Generation with Multi-Hop Reasoning on Commonsense Knowledge Graph 2020 ·Haozhe Ji, Pei Ke, Shaohan Huang, Furu Wei, Xiaoyan Zhu, Minlie Huang	60
8	SentiLR: Linguistic Knowledge Enhanced Language Representation for Sentiment Analysis. 2019 ·arXiv (Cornell University) ·Pei Ke, Haozhe Ji, Siyang Liu, Xiaoyan Zhu, Minlie Huang	17
9	Denoising Distantly Supervised Open-Domain Question Answering 2018 ·Yankai Lin, Haozhe Ji, Zhiyuan Liu, Maosong Sun	65

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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