Pengcheng Yin

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 75

Top Topics

Code Generation

Convolutional Neural Networks

Topological Relations

Top Venues

ISPRS Int. J. Geo Inf.

Publications

Hanjun Dai, Bethany Wang, Xingchen Wan, Bo Dai, Sherry Yang, Azade Nova, Pengcheng Yin, Phitchaya Mangpo Phothilimthana, Charles Sutton, Dale Schuurmans
UQE: A Query Engine for Unstructured Databases. CoRR (2024)
Yeming Wen, Pengcheng Yin, Kensen Shi, Henryk Michalewski, Swarat Chaudhuri, Alex Polozov
Grounding Data Science Code Generation with Input-Output Specifications. CoRR (2024)
Qiushi Sun, Zhirui Chen, Fangzhi Xu, Kanzhi Cheng, Chang Ma, Zhangyue Yin, Jianing Wang, Chengcheng Han, Renyu Zhu, Shuai Yuan, Qipeng Guo, Xipeng Qiu, Pengcheng Yin, Xiaoli Li, Fei Yuan, Lingpeng Kong, Xiang Li, Zhiyong Wu
A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond. CoRR (2024)
Ansong Ni, Miltiadis Allamanis, Arman Cohan, Yinlin Deng, Kensen Shi, Charles Sutton, Pengcheng Yin
NExT: Teaching Large Language Models to Reason about Code Execution. CoRR (2024)
Hui Zhang, Wei Liu, Hao Niu, Pengcheng Yin, Shiling Dong, Jialin Wu, Erzhu Li, Lianpeng Zhang, Changming Zhu
Land Cover Change Detection Based on Vector Polygons and Deep Learning With High-Resolution Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Ningyi Liao, Dingheng Mo, Siqiang Luo, Xiang Li, Pengcheng Yin
Scalable decoupling graph neural network with feature-oriented optimization. VLDB J. 33 (3) (2024)
Miltiadis Allamanis, Sheena Panthaplackel, Pengcheng Yin
Unsupervised Evaluation of Code LLMs with Round-Trip Correctness. CoRR (2024)
Ruisheng Cao, Fangyu Lei, Haoyuan Wu, Jixuan Chen, Yeqiao Fu, Hongcheng Gao, Xinzhuang Xiong, Hanchong Zhang, Yuchen Mao, Wenjing Hu, Tianbao Xie, Hongshen Xu, Danyang Zhang, Sida Wang, Ruoxi Sun, Pengcheng Yin, Caiming Xiong, Ansong Ni, Qian Liu, Victor Zhong, Lu Chen, Kai Yu, Tao Yu
Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows? CoRR (2024)
Kensen Shi, Joey Hong, Yinlin Deng, Pengcheng Yin, Manzil Zaheer, Charles Sutton
ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis. ICLR (2024)
Ruoxi Sun, Sercan Ö. Arik, Rajarishi Sinha, Hootan Nakhost, Hanjun Dai, Pengcheng Yin, Tomas Pfister
SQLPrompt: In-Context Text-to-SQL with Minimal Labeled Data. EMNLP (Findings) (2023)
Xinyun Chen, Renat Aksitov, Uri Alon, Jie Ren, Kefan Xiao, Pengcheng Yin, Sushant Prakash, Charles Sutton, Xuezhi Wang, Denny Zhou
Universal Self-Consistency for Large Language Model Generation. CoRR (2023)
Kensen Shi, Joey Hong, Manzil Zaheer, Pengcheng Yin, Charles Sutton
ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis. CoRR (2023)
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, Parker Schuh, Kensen Shi, Sasha Tsvyashchenko, Joshua Maynez, Abhishek Rao, Parker Barnes, Yi Tay, Noam Shazeer, Vinodkumar Prabhakaran, Emily Reif, Nan Du, Ben Hutchinson, Reiner Pope, James Bradbury, Jacob Austin, Michael Isard, Guy Gur-Ari, Pengcheng Yin, Toju Duke, Anselm Levskaya, Sanjay Ghemawat, Sunipa Dev, Henryk Michalewski, Xavier Garcia, Vedant Misra, Kevin Robinson, Liam Fedus, Denny Zhou, Daphne Ippolito, David Luan, Hyeontaek Lim, Barret Zoph, Alexander Spiridonov, Ryan Sepassi, David Dohan, Shivani Agrawal, Mark Omernick, Andrew M. Dai, Thanumalayan Sankaranarayana Pillai, Marie Pellat, Aitor Lewkowycz, Erica Moreira, Rewon Child, Oleksandr Polozov, Katherine Lee, Zongwei Zhou, Xuezhi Wang, Brennan Saeta, Mark Diaz, Orhan Firat, Michele Catasta, Jason Wei, Kathy Meier-Hellstern, Douglas Eck, Jeff Dean, Slav Petrov, Noah Fiedel
PaLM: Scaling Language Modeling with Pathways. J. Mach. Learn. Res. 24 (2023)
Ansong Ni, Pengcheng Yin, Yilun Zhao, Martin Riddell, Troy Feng, Rui Shen, Stephen Yin, Ye Liu, Semih Yavuz, Caiming Xiong, Shafiq Joty, Yingbo Zhou, Dragomir Radev, Arman Cohan
L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models. CoRR (2023)
Pengcheng Yin, Wen-Ding Li, Kefan Xiao, Abhishek Rao, Yeming Wen, Kensen Shi, Joshua Howland, Paige Bailey, Michele Catasta, Henryk Michalewski, Oleksandr Polozov, Charles Sutton
Natural Language to Code Generation in Interactive Data Science Notebooks. ACL (1) (2023)
Kexin Pei, David Bieber, Kensen Shi, Charles Sutton, Pengcheng Yin
Can Large Language Models Reason about Program Invariants? ICML (2023)
Luke Dramko, Jeremy Lacomis, Pengcheng Yin, Edward J. Schwartz, Miltiadis Allamanis, Graham Neubig, Bogdan Vasilescu, Claire Le Goues
DIRE and its Data: Neural Decompiled Variable Renamings with Respect to Software Class. ACM Trans. Softw. Eng. Methodol. 32 (2) (2023)
Ruoxi Sun, Sercan Ö. Arik, Hootan Nakhost, Hanjun Dai, Rajarishi Sinha, Pengcheng Yin, Tomas Pfister
SQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL. CoRR (2023)
Ruoxi Sun, Sercan Ö. Arik, Rajarishi Sinha, Hootan Nakhost, Hanjun Dai, Pengcheng Yin, Tomas Pfister
SQLPrompt: In-Context Text-to-SQL with Minimal Labeled Data. CoRR (2023)
Pengcheng Yin, John Wieting, Avirup Sil, Graham Neubig
On The Ingredients of an Effective Zero-shot Semantic Parser. ACL (1) (2022)
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 Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang, Noah A. Smith, Luke Zettlemoyer, Tao Yu
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. EMNLP (2022)
Shuyan Zhou, Li Zhang, Yue Yang, Qing Lyu, Pengcheng Yin, Chris Callison-Burch, Graham Neubig
Show Me More Details: Discovering Hierarchies of Procedures from Semi-structured Web Data. CoRR (2022)
Pengcheng Yin, Wen-Ding Li, Kefan Xiao, Abhishek Rao, Yeming Wen, Kensen Shi, Joshua Howland, Paige Bailey, Michele Catasta, Henryk Michalewski, Alex Polozov, Charles Sutton
Natural Language to Code Generation in Interactive Data Science Notebooks. CoRR (2022)
Shuyan Zhou, Li Zhang, Yue Yang, Qing Lyu, Pengcheng Yin, Chris Callison-Burch, Graham Neubig
Show Me More Details: Discovering Hierarchies of Procedures from Semi-structured Web Data. ACL (1) (2022)
Ningyi Liao, Dingheng Mo, Siqiang Luo, Xiang Li, Pengcheng Yin
SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization. Proc. VLDB Endow. 15 (11) (2022)
Ningyi Liao, Dingheng Mo, Siqiang Luo, Xiang Li, Pengcheng Yin
SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization. CoRR (2022)
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, Tao Yu
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. CoRR (2022)
Kensen Shi, Joey Hong, Manzil Zaheer, Pengcheng Yin, Charles Sutton
Compositional Generalization and Decomposition in Neural Program Synthesis. CoRR (2022)
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, Parker Schuh, Kensen Shi, Sasha Tsvyashchenko, Joshua Maynez, Abhishek Rao, Parker Barnes, Yi Tay, Noam Shazeer, Vinodkumar Prabhakaran, Emily Reif, Nan Du, Ben Hutchinson, Reiner Pope, James Bradbury, Jacob Austin, Michael Isard, Guy Gur-Ari, Pengcheng Yin, Toju Duke, Anselm Levskaya, Sanjay Ghemawat, Sunipa Dev, Henryk Michalewski, Xavier Garcia, Vedant Misra, Kevin Robinson, Liam Fedus, Denny Zhou, Daphne Ippolito, David Luan, Hyeontaek Lim, Barret Zoph, Alexander Spiridonov, Ryan Sepassi, David Dohan, Shivani Agrawal, Mark Omernick, Andrew M. Dai, Thanumalayan Sankaranarayana Pillai, Marie Pellat, Aitor Lewkowycz, Erica Moreira, Rewon Child, Oleksandr Polozov, Katherine Lee, Zongwei Zhou, Xuezhi Wang, Brennan Saeta, Mark Diaz, Orhan Firat, Michele Catasta, Jason Wei, Kathy Meier-Hellstern, Douglas Eck, Jeff Dean, Slav Petrov, Noah Fiedel
PaLM: Scaling Language Modeling with Pathways. CoRR (2022)
Shuyan Zhou, Pengcheng Yin, Graham Neubig
Hierarchical Control of Situated Agents through Natural Language. CoRR (2021)
Ziyu Yao, Frank F. Xu, Pengcheng Yin, Huan Sun, Graham Neubig
Learning Structural Edits via Incremental Tree Transformations. ICLR (2021)
Ziyu Yao, Frank F. Xu, Pengcheng Yin, Huan Sun, Graham Neubig
Learning Structural Edits via Incremental Tree Transformations. CoRR (2021)
Pengcheng Yin, Linning Peng, Junqing Zhang, Ming Liu, Hua Fu, Aiqun Hu
LTE Device Identification Based on RF Fingerprint with Multi-Channel Convolutional Neural Network. GLOBECOM (2021)
Pengcheng Yin, John Wieting, Avirup Sil, Graham Neubig
On The Ingredients of an Effective Zero-shot Semantic Parser. CoRR (2021)
Pengcheng Yin, Hao Fang, Graham Neubig, Adam Pauls, Emmanouil Antonios Platanios, Yu Su, Sam Thomson, Jacob Andreas
Compositional Generalization for Neural Semantic Parsing via Span-level Supervised Attention. NAACL-HLT (2021)
Alex Shypula, Pengcheng Yin, Jeremy Lacomis, Claire Le Goues, Edward J. Schwartz, Graham Neubig
Learning to Superoptimize Real-world Programs. CoRR (2021)
Frank F. Xu, Zhengbao Jiang, Pengcheng Yin, Bogdan Vasilescu, Graham Neubig
Incorporating External Knowledge through Pre-training for Natural Language to Code Generation. ACL (2020)
Pengcheng Yin, Graham Neubig, Wen-tau Yih, Sebastian Riedel
TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data. ACL (2020)
Pengcheng Yin, Graham Neubig, Wen-tau Yih, Sebastian Riedel
TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data. CoRR (2020)
Pengcheng Yin, Ji-yi Zhang, Xiying Sun, Di Hu, Zhifeng Shi, Chengyan Wu
A Vertex Concavity-Convexity Detection Method for Three-Dimensional Spatial Objects Based on Geometric Algebra. ISPRS Int. J. Geo Inf. 9 (1) (2020)
Zhiyong Wu, Ben Kao, Tien-Hsuan Wu, Pengcheng Yin, Qun Liu
PERQ: Predicting, Explaining, and Rectifying Failed Questions in KB-QA Systems. WSDM (2020)
Frank F. Xu, Zhengbao Jiang, Pengcheng Yin, Bogdan Vasilescu, Graham Neubig
Incorporating External Knowledge through Pre-training for Natural Language to Code Generation. CoRR (2020)
Ansong Ni, Pengcheng Yin, Graham Neubig
Merging Weak and Active Supervision for Semantic Parsing. AAAI (2020)
Zhengbao Jiang, Pengcheng Yin, Graham Neubig
Improving Open Information Extraction via Iterative Rank-Aware Learning. ACL (1) (2019)
Ansong Ni, Pengcheng Yin, Graham Neubig
Merging Weak and Active Supervision for Semantic Parsing. CoRR (2019)
Jeremy Lacomis, Pengcheng Yin, Edward J. Schwartz, Miltiadis Allamanis, Claire Le Goues, Graham Neubig, Bogdan Vasilescu
DIRE: A Neural Approach to Decompiled Identifier Naming. CoRR (2019)
Zhengbao Jiang, Pengcheng Yin, Graham Neubig
Improving Open Information Extraction via Iterative Rank-Aware Learning. CoRR (2019)
Jeremy Lacomis, Pengcheng Yin, Edward J. Schwartz, Miltiadis Allamanis, Claire Le Goues, Graham Neubig, Bogdan Vasilescu
DIRE: A Neural Approach to Decompiled Identifier Naming. ASE (2019)
Pengcheng Yin, Graham Neubig, Miltiadis Allamanis, Marc Brockschmidt, Alexander L. Gaunt
Learning to Represent Edits. ICLR (Poster) (2019)
Haohan Wang, Xindi Wu, Pengcheng Yin, Eric P. Xing
High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks. CoRR (2019)
Pengcheng Yin, Graham Neubig
Reranking for Neural Semantic Parsing. ACL (1) (2019)
Wei Liu, Dayu Cheng, Pengcheng Yin, Mengyuan Yang, Erzhu Li, Meng Xie, Lianpeng Zhang
Small Manhole Cover Detection in Remote Sensing Imagery with Deep Convolutional Neural Networks. ISPRS Int. J. Geo Inf. 8 (1) (2019)
Zhifeng Shi, Di Hu, Pengcheng Yin, Chun Wang, Taisheng Chen, Ji-yi Zhang
Calculation for Multidimensional Topological Relations in 3D Cadastre Based on Geometric Algebra. ISPRS Int. J. Geo Inf. 8 (11) (2019)
Lili Fu, Pengcheng Yin, Gang Li, Zhifeng Shi, Youzhi Liu, Ji-yi Zhang
Characteristics and Classification of Topological Spatial Relations in 3-D Cadasters. Inf. 9 (4) (2018)
Pengcheng Yin, Bowen Deng, Edgar Chen, Bogdan Vasilescu, Graham Neubig
Learning to mine aligned code and natural language pairs from stack overflow. MSR (2018)
Pengcheng Yin, Graham Neubig
TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation. EMNLP (Demonstration) (2018)
Pengcheng Yin, Bowen Deng, Edgar Chen, Bogdan Vasilescu, Graham Neubig
Learning to mine parallel natural language/source code corpora from stack overflow. ICSE (Companion Volume) (2018)
Pengcheng Yin, Bowen Deng, Edgar Chen, Bogdan Vasilescu, Graham Neubig
Learning to Mine Aligned Code and Natural Language Pairs from Stack Overflow. CoRR (2018)
Jiaxing Xu, Hua Zhao, Pengcheng Yin, Duo Jia, Gang Li
Remote sensing classification method of vegetation dynamics based on time series Landsat image: a case of opencast mining area in China. EURASIP J. Image Video Process. 2018 (2018)
Pengcheng Yin, Chunting Zhou, Junxian He, Graham Neubig
StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing. ACL (1) (2018)
Xinyi Wang, Hieu Pham, Pengcheng Yin, Graham Neubig
A Tree-based Decoder for Neural Machine Translation. CoRR (2018)
Tien-Hsuan Wu, Zhiyong Wu, Ben Kao, Pengcheng Yin
Towards Practical Open Knowledge Base Canonicalization. CIKM (2018)
Pengcheng Yin, Chunting Zhou, Junxian He, Graham Neubig
StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing. CoRR (2018)
Shirley Anugrah Hayati, Raphael Olivier, Pravalika Avvaru, Pengcheng Yin, Anthony Tomasic, Graham Neubig
Retrieval-Based Neural Code Generation. EMNLP (2018)
Pengcheng Yin, Graham Neubig, Miltiadis Allamanis, Marc Brockschmidt, Alexander L. Gaunt
Learning to Represent Edits. CoRR (2018)
Xinyi Wang, Hieu Pham, Pengcheng Yin, Graham Neubig
A Tree-based Decoder for Neural Machine Translation. EMNLP (2018)
Shirley Anugrah Hayati, Raphael Olivier, Pravalika Avvaru, Pengcheng Yin, Anthony Tomasic, Graham Neubig
Retrieval-Based Neural Code Generation. CoRR (2018)
Pengcheng Yin, Graham Neubig
TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation. CoRR (2018)
Pengcheng Yin, Graham Neubig
A Syntactic Neural Model for General-Purpose Code Generation. ACL (1) (2017)
Pengcheng Yin, Graham Neubig
A Syntactic Neural Model for General-Purpose Code Generation. CoRR (2017)
Graham Neubig, Chris Dyer, Yoav Goldberg, Austin Matthews, Waleed Ammar, Antonios Anastasopoulos, Miguel Ballesteros, David Chiang, Daniel Clothiaux, Trevor Cohn, Kevin Duh, Manaal Faruqui, Cynthia Gan, Dan Garrette, Yangfeng Ji, Lingpeng Kong, Adhiguna Kuncoro, Gaurav Kumar, Chaitanya Malaviya, Paul Michel, Yusuke Oda, Matthew Richardson, Naomi Saphra, Swabha Swayamdipta, Pengcheng Yin
DyNet: The Dynamic Neural Network Toolkit. CoRR (2017)
Yuzhi Liang, Pengcheng Yin, Siu-Ming Yiu
New Word Detection and Tagging on Chinese Twitter Stream. Trans. Large Scale Data Knowl. Centered Syst. 32 (2017)
Xuezhe Ma, Pengcheng Yin, Jingzhou Liu, Graham Neubig, Eduard H. Hovy
Softmax Q-Distribution Estimation for Structured Prediction: A Theoretical Interpretation for RAML. CoRR (2017)
Ji-yi Zhang, Pengcheng Yin, Gang Li, Hehe Gu, Hua Zhao, Jianchun Fu
3D Cadastral Data Model Based on Conformal Geometry Algebra. ISPRS Int. J. Geo Inf. 5 (2) (2016)
Pengcheng Yin, Zhengdong Lu, Hang Li, Ben Kao
Neural Enquirer: Learning to Query Tables in Natural Language. IJCAI (2016)
Yuzhi Liang, Pengcheng Yin, Siu-Ming Yiu
New Word Detection and Tagging on Chinese Twitter Stream. DaWaK (2015)
Pengcheng Yin, Zhengdong Lu, Hang Li, Ben Kao
Neural Enquirer: Learning to Query Tables. CoRR (2015)
Pengcheng Yin, Nan Duan, Ben Kao, Junwei Bao, Ming Zhou
Answering Questions with Complex Semantic Constraints on Open Knowledge Bases. CIKM (2015)
Zhouxi Wang, Pengcheng Yin, Joslynn S. Lee, Ramya Parasuram, Srinivas Somarowthu, Mary Jo Ondrechen
Protein function annotation with Structurally Aligned Local Sites of Activity (SALSAs). BMC Bioinform. 14 (S-3) (2013)