Fangzheng (Frank) Xu

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Graham NeubigCarnegie Mellon University, Inspired CognitionVerified email at cs.cmu.edu
Jiawei HanAbel Bliss Professor of Computer Science, University of IllinoisVerified email at cs.uiuc.edu
Yuchen LinUniversity of Southern CaliforniaVerified email at usc.edu
Kenny Q. Zhu (朱其立)Shanghai Jiao Tong UniversityVerified email at cs.sjtu.edu.cn
Xiang RenAssistant Professor & Viterbi Early Career Chair, University of Southern CaliforniaVerified email at usc.edu
Zhengbao JiangCarnegie Mellon UniversityVerified email at cs.cmu.edu
Jun ArakiBosch ResearchVerified email at junaraki.net
Jian PengUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
Liyuan LiuMicrosoft ResearchVerified email at illinois.edu
Huan GuiFacebookVerified email at illinois.edu
Jingbo ShangAssistant Professor, UC San DiegoVerified email at ucsd.edu
Uri AlonPost-doctoral Researcher, Language Technologies Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Zhiyi Luo (罗志一)Shanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Yu ZhangUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
Bogdan VasilescuAssociate Professor at Carnegie Mellon UniversityVerified email at cmu.edu
Pengcheng YinGoogleVerified email at google.com
Yu MengPh.D. student, University of Illinois at Urbana-ChampaignVerified email at illinois.edu
Xuan WangVirginia TechVerified email at vt.edu
Vincent HellendoornCarnegie Mellon UniversityVerified email at cmu.edu
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UVerified email at cs.cmu.edu

Fangzheng (Frank) Xu

Other namesFrank Xu, Fangzheng Xu, Frank F. Xu

Carnegie Mellon University

Verified email at cs.cmu.edu - Homepage

Natural Language Processing Machine Learning for Code


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How can we know what language models know? Z Jiang, FF Xu, J Araki, G Neubig Transactions of the Association for Computational Linguistics 8, 423-438, 2020	438	2020
Empower sequence labeling with task-aware neural language model L Liu, J Shang, X Ren, F Xu, H Gui, J Peng, J Han Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018	354	2018
Multi-channel bilstm-crf model for emerging named entity recognition in social media BY Lin, FF Xu, Z Luo, K Zhu Proceedings of the 3rd Workshop on Noisy User-generated Text, 160-165, 2017	117	2017
Incorporating external knowledge through pre-training for natural language to code generation FF Xu, Z Jiang, P Yin, B Vasilescu, G Neubig arXiv preprint arXiv:2004.09015, 2020	52	2020
A systematic evaluation of large language models of code FF Xu, U Alon, G Neubig, VJ Hellendoorn Proceedings of the 6th ACM SIGPLAN International Symposium on Machine …, 2022	42	2022
Higitclass: Keyword-driven hierarchical classification of github repositories Y Zhang, FF Xu, S Li, Y Meng, X Wang, Q Li, J Han 2019 IEEE International Conference on Data Mining (ICDM), 876-885, 2019	38	2019
In-ide code generation from natural language: Promise and challenges FF Xu, B Vasilescu, G Neubig ACM Transactions on Software Engineering and Methodology (TOSEM) 31 (2), 1-47, 2022	32	2022
Mining cross-cultural differences and similarities in social media BY Lin, FF Xu, K Zhu, S Hwang Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018	26	2018
Automatic extraction of commonsense locatednear knowledge FF Xu, BY Lin, KQ Zhu arXiv preprint arXiv:1711.04204, 2017	22	2017
Minimally supervised categorization of text with metadata Y Zhang, Y Meng, J Huang, FF Xu, X Wang, J Han Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020	21	2020
AlpacaTag: An active learning-based crowd annotation framework for sequence tagging BY Lin, DH Lee, FF Xu, O Lan, X Ren Proceedings of the 57th Conference of the Association for Computational …, 2019	21	2019
Statelens: A reverse engineering solution for making existing dynamic touchscreens accessible A Guo, J Kong, M Rivera, FF Xu, JP Bigham Proceedings of the 32nd Annual ACM Symposium on User Interface Software and …, 2019	20	2019
Data-to-text generation with style imitation S Lin, W Wang, Z Yang, X Liang, FF Xu, E Xing, Z Hu arXiv preprint arXiv:1901.09501, 2019	18*	2019
Learning structural edits via incremental tree transformations Z Yao, FF Xu, P Yin, H Sun, G Neubig arXiv preprint arXiv:2101.12087, 2021	17	2021
Cross-region traffic prediction for china on openstreetmap FF Xu, BY Lin, Q Lu, Y Huang, KQ Zhu Proceedings of the 9th ACM SIGSPATIAL International Workshop on …, 2016	17	2016
Transfer learning for traffic speed prediction: A preliminary study BY Lin, FF Xu, EQ Liao, KQ Zhu Workshops at the Thirty-Second AAAI Conference on Artificial Intelligence, 2018	10	2018
Neuro-symbolic language modeling with automaton-augmented retrieval U Alon, F Xu, J He, S Sengupta, D Roth, G Neubig International Conference on Machine Learning, 468-485, 2022	8	2022
A benchmark for structured procedural knowledge extraction from cooking videos FF Xu, L Ji, B Shi, J Du, G Neubig, Y Bisk, N Duan arXiv preprint arXiv:2005.00706, 2020	8	2020
Extra: Extracting prominent review aspects from customer feedback Z Luo, S Huang, FF Xu, BY Lin, H Shi, K Zhu Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018	8	2018
Open information extraction with global structure constraints Q Zhu, X Ren, J Shang, Y Zhang, FF Xu, J Han Companion Proceedings of the The Web Conference 2018, 57-58, 2018	7	2018

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