Photo of Rui Zhang

Rui Zhang

Assistant Professor

Affiliation(s):

  • School of Electrical Engineering and Computer Science
  • Computer Science and Engineering

Research Areas:

Data Science and Artificial Intelligence

Interest Areas:

Natural Language Processing, Deep Learning

 
 

 

Education

  • BS, University of Michigan, Ann Arbor, 2015
  • BS, Shanghai Jiao Tong University, 2015
  • PhD, Yale University, 2020

Publications

Journal Articles

  • Linyong Nan, Chiachun Hsieh, Ziming Mao, Xi Victoria Lin, Neha Verma, Rui Zhang, Wojciech Kryscinski, Nick Schoelkopf, Riley Kong, Xiangru Tang, Murori Mutuma, Ben Rosand, Isabel Trindade, Renusree Bandaru, Jacob Cunningham, Caiming Xiong and Dragomir R. Radev, 2022, "FeTaQA: Free-form Table Question Answering", Transactions of the Association for Computational Linguistics
  • Tianbao Xie, Chen Henry Wu, Peng Shi, Ruiqi Zhong, Torsten Scholak, Michihiro Yasunaga, Chien-Sheng Wu, Ming Zhong, Pengcheng Yin, Sida I. Wang, Victor Zhong, Bailin Wang, Chengzu Li, Connor Boyle, Ansong Ni, Ziyu Yao, Dragomir R. Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang, Noah A. Smith, Luke Zettlemoyer and Tao Yu, 2022, "UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models", CoRR, abs/2201.05966

Conference Proceedings

  • Ziming Mao, Chen Henry Wu, Ansong Ni, Yusen Zhang, Rui Zhang, Tao Yu, Budhaditya Deb, Chenguang Zhu, Ahmed Hassan Awadallah and Dragomir R. Radev, 2022, "DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization"
  • Yusen Zhang, Ansong Ni, Ziming Mao, Chen Henry Wu, Chenguang Zhu, Budhaditya Deb, Ahmed Hassan Awadallah, Dragomir R. Radev and Rui Zhang, 2022, "Summ\^N: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents"
  • Sarkar Snigdha Sarathi Das, Arzoo Katiyar, Rebecca Passonneau and Rui Zhang, 2022, "CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning"
  • Yilun Zhao, Yunxiang Li, Chenying Li and Rui Zhang, 2022, "MT2-QA: Numerical Reasoning over Multi Hierarchical Tabular and Textual Data"
  • Yusen Zhang, Ansong Ni, Tao Yu, Rui Zhang, Chenguang Zhu, Budhaditya Deb, Asli Celikyilmaz, Ahmed Hassan Awadallah and Dragomir Radev, 2021, "An Exploratory Study on Long Dialogue Summarization: What Works and What's Next", Association for Computational Linguistics, Punta Cana, Dominican Republic, pp. 4426--4433
  • Peng Shi, Rui Zhang, He Bai and Jimmy Lin, 2021, "Cross-Lingual Training of Dense Retrievers for Document Retrieval", Association for Computational Linguistics, Punta Cana, Dominican Republic, pp. 251--253
  • Adaku Uchendu, Zeyu Ma, Thai Le, Rui Zhang and Dongwon Lee, 2021, "TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation", Association for Computational Linguistics, Punta Cana, Dominican Republic, pp. 2001--2016
  • Chang Shu, Yusen Zhang, Xiangyu Dong, Peng Shi, Tao Yu and Rui Zhang, 2021, "Logic-Consistency Text Generation from Semantic Parses", Association for Computational Linguistics, Online, pp. 4414--4426
  • Yanda Chen, Chris Kedzie, Suraj Nair, Petra Galuscakova, Rui Zhang, Douglas Oard and Kathleen McKeown, 2021, "Cross-language Sentence Selection via Data Augmentation and Rationale Training", Association for Computational Linguistics, Online, pp. 3881--3895
  • Anup Sarma, Sonali Singh, Huaipan Jiang, Rui Zhang, Mahmut T Kandemir and Chita Das, 2021, "Structured in Space, Randomized in Time: Leveraging Dropout in RNNs for Efficient Training"
  • Tao Yu, Rui Zhang, Oleksandr Polozov, Christopher Meek and Ahmed Hassan Awadallah, 2021, "SCoRe: Pre-Training for Context Representation in Conversational Semantic Parsing"
  • Yanjun Gao, Lulu Liu, Jason Wang, Xin Chen, Huayan Wang and Rui Zhang, 2021, "EVOQUER: Enhancing Temporal Grounding with Video-Pivoted Back Query Generation"
  • Dragomir Radev, Rui Zhang, Amrit Rau, Abhinand Sivaprasad, Chiachun Hsieh, Nazneen Fatema Rajani, Xiangru Tang, Aadit Vyas, Neha Verma, Pranav Krishna and others, 2021, "DART: Open-Domain Structured Data Record to Text Generation"
  • Yusen Zhang, Xiangyu Dong, Shuaichen Chang, Tao Yu, Peng Shi and Rui Zhang, 2020, "Did You Ask a Good Question? A Cross-Domain Question Intention Classification Benchmark for Text-to-SQL"
  • Nazneen Fatema Rajani, Rui Zhang, Yi Chern Tan, Stephan Zheng, Jeremy Weiss, Aadit Vyas, Abhijit Gupta, Caiming Xiong, Richard Socher and Dragomir Radev, 2020, "ESPRIT: Explaining Solutions to Physical Reasoning Tasks"
  • Ben Bogin, Srinivasan Iyer, Victoria Lin, Dragomir Radev, Alane Suhr, Panupong Panupong, Caiming Xiong, Pengcheng Yin, Tao Yu, Rui Zhang and others, 2020, "Proceedings of the First Workshop on Interactive and Executable Semantic Parsing"

Research Projects

Honors and Awards

Service

Service to Penn State:

Service to External Organizations:

 


 

About

The School of Electrical Engineering and Computer Science was created in the spring of 2015 to allow greater access to courses offered by both departments for undergraduate and graduate students in exciting collaborative research fields.

We offer B.S. degrees in electrical engineering, computer science, computer engineering and data science and graduate degrees (master's degrees and Ph.D.'s) in electrical engineering and computer science and engineering. EECS focuses on the convergence of technologies and disciplines to meet today’s industrial demands.

School of Electrical Engineering and Computer Science

The Pennsylvania State University

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Department of Computer Science and Engineering

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Department of Electrical Engineering

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