Haoruo Peng

890 total citations
21 papers, 471 citations indexed

About

Haoruo Peng is a scholar working on Artificial Intelligence, Management Science and Operations Research and Signal Processing. According to data from OpenAlex, Haoruo Peng has authored 21 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 5 papers in Management Science and Operations Research and 3 papers in Signal Processing. Recurrent topics in Haoruo Peng's work include Topic Modeling (16 papers), Natural Language Processing Techniques (15 papers) and Data Quality and Management (4 papers). Haoruo Peng is often cited by papers focused on Topic Modeling (16 papers), Natural Language Processing Techniques (15 papers) and Data Quality and Management (4 papers). Haoruo Peng collaborates with scholars based in United States, China and United Kingdom. Haoruo Peng's co-authors include Dan Roth, Yangqiu Song, Snigdha Chaturvedi, Yu Zheng, Jiawei Han, Daniel Khashabi, Shaowen Wang, Chao Zhang, Quan Yuan and Tim Hanratty and has published in prestigious journals such as Artificial Intelligence, Theory and applications of categories and Rare & Special e-Zone (The Hong Kong University of Science and Technology).

In The Last Decade

Haoruo Peng

21 papers receiving 440 citations

Peers

Haoruo Peng
Paolo Rosso Switzerland
Yushun Dong United States
Joydeep Chandra India
Baoxing Huai China
Yaqiong Qiao China
Renato Fileto Brazil
将尚 渡辺 China
Jianheng Tang China
Jiayu Han China
Paolo Rosso Switzerland
Haoruo Peng
Citations per year, relative to Haoruo Peng Haoruo Peng (= 1×) peers Paolo Rosso

Countries citing papers authored by Haoruo Peng

Since Specialization
Citations

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

Fields of papers citing papers by Haoruo Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haoruo Peng

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

All Works

20 of 20 papers shown
1.
Ning, Qiang, Ben Zhou, Hao Wu, et al.. (2022). A Meta-framework for Spatiotemporal Quantity Extraction from Text. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 4 indexed citations
2.
Peng, Haoruo, Qiang Ning, & Dan Roth. (2019). KnowSemLM: A Knowledge Infused Semantic Language Model. 550–562. 9 indexed citations
3.
Song, Yangqiu, Shyam Upadhyay, Haoruo Peng, Stephen Mayhew, & Dan Roth. (2019). Toward any-language zero-shot topic classification of textual documents. Artificial Intelligence. 274. 133–150. 11 indexed citations
4.
Qiang, Ning, et al.. (2018). CogCompTime: A Tool for Understanding Time in Natural Language. 72–77. 39 indexed citations
5.
Peng, Haoruo, Hao Wu, Shyam Upadhyay, et al.. (2017). UI CCG TAC-KBP2017 Submissions: Entity Discovery and Linking, and Event Nugget Detection and Co-reference.. Theory and applications of categories. 4 indexed citations
6.
Chaturvedi, Snigdha, Haoruo Peng, & Dan Roth. (2017). Story Comprehension for Predicting What Happens Next. 1603–1614. 63 indexed citations
7.
Peng, Haoruo, Snigdha Chaturvedi, & Dan Roth. (2017). A Joint Model for Semantic Sequences: Frames, Entities, Sentiments. 173–183. 11 indexed citations
8.
Zhang, Chao, Quan Yuan, Haoruo Peng, et al.. (2017). Regions, Periods, Activities. 361–370. 97 indexed citations
9.
Zhang, Meng, Haoruo Peng, Yang Liu, Huanbo Luan, & Maosong Sun. (2017). Bilingual Lexicon Induction from Non-Parallel Data with Minimal Supervision. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 12 indexed citations
10.
Song, Yangqiu, Shyam Upadhyay, Haoruo Peng, & Dan Roth. (2016). Cross-lingual dataless classification for many languages. International Joint Conference on Artificial Intelligence. 2901–2907. 11 indexed citations
11.
Tsai, Chen-Tse, et al.. (2016). Illinois CCG Entity Discovery and Linking, Event Nugget Detection and Co-reference, and Slot Filler Validation Systems for TAC 2016.. Theory and applications of categories. 1 indexed citations
12.
Peng, Haoruo & Dan Roth. (2016). Two Discourse Driven Language Models for Semantics. 290–300. 26 indexed citations
13.
Peng, Haoruo, Yangqiu Song, & Dan Roth. (2016). Event Detection and Co-reference with Minimal Supervision. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 392–402. 73 indexed citations
14.
Sammons, Mark, Haoruo Peng, Yangqiu Song, et al.. (2015). Illinois CCG TAC 2015 Event Nugget, Entity Discovery and Linking, and Slot Filler Validation Systems. Theory and applications of categories. 9 indexed citations
15.
Song, Yangqiu, Haoruo Peng, Parisa Kordjamshidi, Mark Sammons, & Dan Roth. (2015). Improving a Pipeline Architecture for Shallow Discourse Parsing. 78–83. 5 indexed citations
16.
Peng, Haoruo, Daniel Khashabi, & Dan Roth. (2015). Solving Hard Coreference Problems. 809–819. 36 indexed citations
17.
Schwartz, Lane, Sean Massung, Yisi Liu, et al.. (2015). The University of Illinois submission to the WMT 2015 Shared Translation Task. 192–198. 1 indexed citations
18.
Peng, Haoruo, Kai-Wei Chang, & Dan Roth. (2015). A Joint Framework for Coreference Resolution and Mention Head Detection. 12–21. 33 indexed citations
19.
Peng, Haoruo, et al.. (2013). A scalable approach to column-based low-rank matrix approximation. International Joint Conference on Artificial Intelligence. 1600–1606. 4 indexed citations
20.
Peng, Haoruo, et al.. (2013). Evaluating parallel logistic regression models. 119–126. 11 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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