Pengcheng Yin

95 papers A* 17A 4B 2Journal 58Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
CIBPartitioner: a computational intensity-balanced partitioner for enhancing distributed spatial join processing.
Geo spatial Inf. Sci.
Xiangyang Yang, Xuefeng Guan, Ming Zhang, Hang Wu, Bo Wang, Pengcheng Yin, Qingyang Xu, Huayi Wu
2025 J jnl
Disproving Program Equivalence with LLMs.
CoRR
Miltiadis Allamanis, Pengcheng Yin
2025 A* conf
Learn-by-interact: A Data-Centric Framework For Self-Adaptive Agents in Realistic Environments.
ICLR
Hongjin Su, Ruoxi Sun, Jinsung Yoon, Pengcheng Yin, Tao Yu, Sercan Ö. Arik
2025 J jnl
Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments.
CoRR
Hongjin Su, Ruoxi Sun, Jinsung Yoon, Pengcheng Yin, Tao Yu, Sercan Ö. Arik
2025 — conf
Natural Language Outlines for Code: Literate Programming in the LLM Era.
SIGSOFT FSE Companion
Kensen Shi, Deniz Altinbüken, Saswat Anand, Mihai Christodorescu, Katja Grünwedel, Alexa Koenings, Sai Naidu, Anurag Pathak, Marc Rasi, Fredde Ribeiro, Brandon Ruffin, Siddhant Sanyam, Maxim Tabachnyk, Sara Toth, Roy Tu, Tobias Welp, Pengcheng Yin, Manzil Zaheer, Satish Chandra, Charles Sutton
2025 A* conf
Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows.
ICLR
Fangyu Lei, Jixuan Chen, Yuxiao Ye, Ruisheng Cao, Dongchan Shin, Hongjin Su, Zhaoqing Suo, Hongcheng Gao, Wenjing Hu, Pengcheng Yin, Victor Zhong, Caiming Xiong, Ruoxi Sun, Qian Liu, Sida Wang, Tao Yu
2024 J jnl
A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond.
CoRR
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
2024 A* conf
ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis.
ICLR
Kensen Shi, Joey Hong, Yinlin Deng, Pengcheng Yin, Manzil Zaheer, Charles Sutton
2024 J jnl
Grounding Data Science Code Generation with Input-Output Specifications.
CoRR
Yeming Wen, Pengcheng Yin, Kensen Shi, Henryk Michalewski, Swarat Chaudhuri, Alex Polozov
2024 J jnl
Land Cover Change Detection Based on Vector Polygons and Deep Learning With High-Resolution Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens.
Hui Zhang, Wei Liu, Hao Niu, Pengcheng Yin, Shiling Dong, Jialin Wu, Erzhu Li, Lianpeng Zhang, Changming Zhu
2024 J jnl
Multi-Channel CNN-Based Open-Set RF Fingerprint Identification for LTE Devices.
IEEE Trans. Cogn. Commun. Netw.
Pengcheng Yin, Linning Peng, Guanxiong Shen, Junqing Zhang, Ming Liu, Hua Fu, Aiqun Hu, Xianbin Wang
2024 A* conf
NExT: Teaching Large Language Models to Reason about Code Execution.
ICML
Ansong Ni, Miltiadis Allamanis, Arman Cohan, Yinlin Deng, Kensen Shi, Charles Sutton, Pengcheng Yin
2024 J jnl
NExT: Teaching Large Language Models to Reason about Code Execution.
CoRR
Ansong Ni, Miltiadis Allamanis, Arman Cohan, Yinlin Deng, Kensen Shi, Charles Sutton, Pengcheng Yin
2024 J jnl
Natural Language Outlines for Code: Literate Programming in the LLM Era.
CoRR
Kensen Shi, Deniz Altinbüken, Saswat Anand, Mihai Christodorescu, Katja Grünwedel, Alexa Koenings, Sai Naidu, Anurag Pathak, Marc Rasi, Fredde Ribeiro, Brandon Ruffin, Siddhant Sanyam, Maxim Tabachnyk, Sara Toth, Roy Tu, Tobias Welp, Pengcheng Yin, Manzil Zaheer, Satish Chandra, Charles Sutton
2024 J jnl
Nonagriculturalization Detection Based on Vector Polygons and Contrastive Learning With High-Resolution Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Hui Zhang, Wei Liu, Changming Zhu, Hao Niu, Pengcheng Yin, Shiling Dong, Jialin Wu, Erzhu Li, Lianpeng Zhang
2024 J jnl
SQL-PaLM: Improved large language model adaptation for Text-to-SQL.
Trans. Mach. Learn. Res.
Ruoxi Sun, Sercan Ö. Arik, Alexandre Muzio, Lesly Miculicich, Satya Kesav Gundabathula, Pengcheng Yin, Hanjun Dai, Hootan Nakhost, Rajarishi Sinha, Zifeng Wang, Tomas Pfister
2024 J jnl
Scalable decoupling graph neural network with feature-oriented optimization.
VLDB J.
Ningyi Liao, Dingheng Mo, Siqiang Luo, Xiang Li, Pengcheng Yin
2024 J jnl
Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows.
CoRR
Fangyu Lei, Jixuan Chen, Yuxiao Ye, Ruisheng Cao, Dongchan Shin, Hongjin Su, Zhaoqing Suo, Hongcheng Gao, Wenjing Hu, Pengcheng Yin, Victor Zhong, Caiming Xiong, Ruoxi Sun, Qian Liu, Sida I. Wang, Tao Yu
2024 A* conf
Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?
NeurIPS
Ruisheng Cao, Fangyu Lei, Haoyuan Wu, Jixuan Chen, Yeqiao Fu, Hongcheng Gao, Xinzhuang Xiong, Hanchong Zhang, Wenjing Hu, Yuchen Mao, Tianbao Xie, Hongshen Xu, Danyang Zhang, Sida I. Wang, Ruoxi Sun, Pengcheng Yin, Caiming Xiong, Ansong Ni, Qian Liu, Victor Zhong, Lu Chen, Kai Yu, Tao Yu
2024 J jnl
Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?
CoRR
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
2024 A* conf
UQE: A Query Engine for Unstructured Databases.
NeurIPS
Hanjun Dai, Bethany Wang, Xingchen Wan, Bo Dai, Sherry Yang, Azade Nova, Pengcheng Yin, Phitchaya Mangpo Phothilimthana, Charles Sutton, Dale Schuurmans
2024 J jnl
UQE: A Query Engine for Unstructured Databases.
CoRR
Hanjun Dai, Bethany Wang, Xingchen Wan, Bo Dai, Sherry Yang, Azade Nova, Pengcheng Yin, Phitchaya Mangpo Phothilimthana, Charles Sutton, Dale Schuurmans
2024 A* conf
Unsupervised Evaluation of Code LLMs with Round-Trip Correctness.
ICML
Miltiadis Allamanis, Sheena Panthaplackel, Pengcheng Yin
2024 J jnl
Unsupervised Evaluation of Code LLMs with Round-Trip Correctness.
CoRR
Miltiadis Allamanis, Sheena Panthaplackel, Pengcheng Yin
2023 A* conf
Can Large Language Models Reason about Program Invariants?
ICML
Kexin Pei, David Bieber, Kensen Shi, Charles Sutton, Pengcheng Yin
2023 J jnl
DIRE and its Data: Neural Decompiled Variable Renamings with Respect to Software Class.
ACM Trans. Softw. Eng. Methodol.
Luke Dramko, Jeremy Lacomis, Pengcheng Yin, Edward J. Schwartz, Miltiadis Allamanis, Graham Neubig, Bogdan Vasilescu, Claire Le Goues
2023 J jnl
ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis.
CoRR
Kensen Shi, Joey Hong, Manzil Zaheer, Pengcheng Yin, Charles Sutton
2023 J jnl
L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models.
CoRR
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
2023 — conf
Natural Language to Code Generation in Interactive Data Science Notebooks.
ACL (1)
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
2023 J jnl
PaLM: Scaling Language Modeling with Pathways.
J. Mach. Learn. Res.
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
2023 J jnl
SQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL.
CoRR
Ruoxi Sun, Sercan Ö. Arik, Hootan Nakhost, Hanjun Dai, Rajarishi Sinha, Pengcheng Yin, Tomas Pfister
2023 — conf
SQLPrompt: In-Context Text-to-SQL with Minimal Labeled Data.
EMNLP (Findings)
Ruoxi Sun, Sercan Ö. Arik, Rajarishi Sinha, Hootan Nakhost, Hanjun Dai, Pengcheng Yin, Tomas Pfister
2023 J jnl
SQLPrompt: In-Context Text-to-SQL with Minimal Labeled Data.
CoRR
Ruoxi Sun, Sercan Ö. Arik, Rajarishi Sinha, Hootan Nakhost, Hanjun Dai, Pengcheng Yin, Tomas Pfister
2023 J jnl
Universal Self-Consistency for Large Language Model Generation.
CoRR
Xinyun Chen, Renat Aksitov, Uri Alon, Jie Ren, Kefan Xiao, Pengcheng Yin, Sushant Prakash, Charles Sutton, Xuezhi Wang, Denny Zhou
2022 J jnl
Compositional Generalization and Decomposition in Neural Program Synthesis.
CoRR
Kensen Shi, Joey Hong, Manzil Zaheer, Pengcheng Yin, Charles Sutton
2022 — —
Learning Structured Neural Semantic Parsers
Pengcheng Yin
2022 J jnl
Natural Language to Code Generation in Interactive Data Science Notebooks.
CoRR
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
2022 — conf
On The Ingredients of an Effective Zero-shot Semantic Parser.
ACL (1)
Pengcheng Yin, John Wieting, Avirup Sil, Graham Neubig
2022 J jnl
PaLM: Scaling Language Modeling with Pathways.
CoRR
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
2022 J jnl
SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization.
CoRR
Ningyi Liao, Dingheng Mo, Siqiang Luo, Xiang Li, Pengcheng Yin
2022 J jnl
SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization.
Proc. VLDB Endow.
Ningyi Liao, Dingheng Mo, Siqiang Luo, Xiang Li, Pengcheng Yin
2022 — conf
Show Me More Details: Discovering Hierarchies of Procedures from Semi-structured Web Data.
ACL (1)
Shuyan Zhou, Li Zhang, Yue Yang, Qing Lyu, Pengcheng Yin, Chris Callison-Burch, Graham Neubig
2022 J jnl
Show Me More Details: Discovering Hierarchies of Procedures from Semi-structured Web Data.
CoRR
Shuyan Zhou, Li Zhang, Yue Yang, Qing Lyu, Pengcheng Yin, Chris Callison-Burch, Graham Neubig
2022 A* conf
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models.
EMNLP
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
2022 J jnl
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models.
CoRR
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
2021 — conf
Compositional Generalization for Neural Semantic Parsing via Span-level Supervised Attention.
NAACL-HLT
Pengcheng Yin, Hao Fang, Graham Neubig, Adam Pauls, Emmanouil Antonios Platanios, Yu Su, Sam Thomson, Jacob Andreas
2021 J jnl
Hierarchical Control of Situated Agents through Natural Language.
CoRR
Shuyan Zhou, Pengcheng Yin, Graham Neubig
2021 B conf
LTE Device Identification Based on RF Fingerprint with Multi-Channel Convolutional Neural Network.
GLOBECOM
Pengcheng Yin, Linning Peng, Junqing Zhang, Ming Liu, Hua Fu, Aiqun Hu
2021 A* conf
Learning Structural Edits via Incremental Tree Transformations.
ICLR
Ziyu Yao, Frank F. Xu, Pengcheng Yin, Huan Sun, Graham Neubig
2021 J jnl
Learning Structural Edits via Incremental Tree Transformations.
CoRR
Ziyu Yao, Frank F. Xu, Pengcheng Yin, Huan Sun, Graham Neubig
2021 J jnl
Learning to Superoptimize Real-world Programs.
CoRR
Alex Shypula, Pengcheng Yin, Jeremy Lacomis, Claire Le Goues, Edward J. Schwartz, Graham Neubig
2021 J jnl
On The Ingredients of an Effective Zero-shot Semantic Parser.
CoRR
Pengcheng Yin, John Wieting, Avirup Sil, Graham Neubig
2020 J jnl
A Vertex Concavity-Convexity Detection Method for Three-Dimensional Spatial Objects Based on Geometric Algebra.
ISPRS Int. J. Geo Inf.
Pengcheng Yin, Ji-yi Zhang, Xiying Sun, Di Hu, Zhifeng Shi, Chengyan Wu
2020 A* conf
Incorporating External Knowledge through Pre-training for Natural Language to Code Generation.
ACL
Frank F. Xu, Zhengbao Jiang, Pengcheng Yin, Bogdan Vasilescu, Graham Neubig
2020 J jnl
Incorporating External Knowledge through Pre-training for Natural Language to Code Generation.
CoRR
Frank F. Xu, Zhengbao Jiang, Pengcheng Yin, Bogdan Vasilescu, Graham Neubig
2020 A* conf
Merging Weak and Active Supervision for Semantic Parsing.
AAAI
Ansong Ni, Pengcheng Yin, Graham Neubig
2020 A conf
PERQ: Predicting, Explaining, and Rectifying Failed Questions in KB-QA Systems.
WSDM
Zhiyong Wu, Ben Kao, Tien-Hsuan Wu, Pengcheng Yin, Qun Liu
2020 A* conf
TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data.
ACL
Pengcheng Yin, Graham Neubig, Wen-tau Yih, Sebastian Riedel
2020 J jnl
TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data.
CoRR
Pengcheng Yin, Graham Neubig, Wen-tau Yih, Sebastian Riedel
2019 J jnl
Calculation for Multidimensional Topological Relations in 3D Cadastre Based on Geometric Algebra.
ISPRS Int. J. Geo Inf.
Zhifeng Shi, Di Hu, Pengcheng Yin, Chun Wang, Taisheng Chen, Ji-yi Zhang
2019 A* conf
DIRE: A Neural Approach to Decompiled Identifier Naming.
ASE
Jeremy Lacomis, Pengcheng Yin, Edward J. Schwartz, Miltiadis Allamanis, Claire Le Goues, Graham Neubig, Bogdan Vasilescu
2019 J jnl
DIRE: A Neural Approach to Decompiled Identifier Naming.
CoRR
Jeremy Lacomis, Pengcheng Yin, Edward J. Schwartz, Miltiadis Allamanis, Claire Le Goues, Graham Neubig, Bogdan Vasilescu
2019 J jnl
High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks.
CoRR
Haohan Wang, Xindi Wu, Pengcheng Yin, Eric P. Xing
2019 — conf
Improving Open Information Extraction via Iterative Rank-Aware Learning.
ACL (1)
Zhengbao Jiang, Pengcheng Yin, Graham Neubig
2019 J jnl
Improving Open Information Extraction via Iterative Rank-Aware Learning.
CoRR
Zhengbao Jiang, Pengcheng Yin, Graham Neubig
2019 — conf
Learning to Represent Edits.
ICLR (Poster)
Pengcheng Yin, Graham Neubig, Miltiadis Allamanis, Marc Brockschmidt, Alexander L. Gaunt
2019 J jnl
Merging Weak and Active Supervision for Semantic Parsing.
CoRR
Ansong Ni, Pengcheng Yin, Graham Neubig
2019 — conf
Reranking for Neural Semantic Parsing.
ACL (1)
Pengcheng Yin, Graham Neubig
2019 J jnl
Small Manhole Cover Detection in Remote Sensing Imagery with Deep Convolutional Neural Networks.
ISPRS Int. J. Geo Inf.
Wei Liu, Dayu Cheng, Pengcheng Yin, Mengyuan Yang, Erzhu Li, Meng Xie, Lianpeng Zhang
2018 A* conf
A Tree-based Decoder for Neural Machine Translation.
EMNLP
Xinyi Wang, Hieu Pham, Pengcheng Yin, Graham Neubig
2018 J jnl
A Tree-based Decoder for Neural Machine Translation.
CoRR
Xinyi Wang, Hieu Pham, Pengcheng Yin, Graham Neubig
2018 J jnl
Characteristics and Classification of Topological Spatial Relations in 3-D Cadasters.
Inf.
Lili Fu, Pengcheng Yin, Gang Li, Zhifeng Shi, Youzhi Liu, Ji-yi Zhang
2018 J jnl
Learning to Mine Aligned Code and Natural Language Pairs from Stack Overflow.
CoRR
Pengcheng Yin, Bowen Deng, Edgar Chen, Bogdan Vasilescu, Graham Neubig
2018 J jnl
Learning to Represent Edits.
CoRR
Pengcheng Yin, Graham Neubig, Miltiadis Allamanis, Marc Brockschmidt, Alexander L. Gaunt
2018 A conf
Learning to mine aligned code and natural language pairs from stack overflow.
MSR
Pengcheng Yin, Bowen Deng, Edgar Chen, Bogdan Vasilescu, Graham Neubig
2018 — conf
Learning to mine parallel natural language/source code corpora from stack overflow.
ICSE (Companion Volume)
Pengcheng Yin, Bowen Deng, Edgar Chen, Bogdan Vasilescu, Graham Neubig
2018 J jnl
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.
Jiaxing Xu, Hua Zhao, Pengcheng Yin, Duo Jia, Gang Li
2018 A* conf
Retrieval-Based Neural Code Generation.
EMNLP
Shirley Anugrah Hayati, Raphaël Olivier, Pravalika Avvaru, Pengcheng Yin, Anthony Tomasic, Graham Neubig
2018 J jnl
Retrieval-Based Neural Code Generation.
CoRR
Shirley Anugrah Hayati, Raphaël Olivier, Pravalika Avvaru, Pengcheng Yin, Anthony Tomasic, Graham Neubig
2018 — conf
StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing.
ACL (1)
Pengcheng Yin, Chunting Zhou, Junxian He, Graham Neubig
2018 J jnl
StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing.
CoRR
Pengcheng Yin, Chunting Zhou, Junxian He, Graham Neubig
2018 — conf
TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation.
EMNLP (Demonstration)
Pengcheng Yin, Graham Neubig
2018 J jnl
TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation.
CoRR
Pengcheng Yin, Graham Neubig
2018 A conf
Towards Practical Open Knowledge Base Canonicalization.
CIKM
Tien-Hsuan Wu, Zhiyong Wu, Ben Kao, Pengcheng Yin
2017 — conf
A Syntactic Neural Model for General-Purpose Code Generation.
ACL (1)
Pengcheng Yin, Graham Neubig
2017 J jnl
A Syntactic Neural Model for General-Purpose Code Generation.
CoRR
Pengcheng Yin, Graham Neubig
2017 J jnl
DyNet: The Dynamic Neural Network Toolkit.
CoRR
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
2017 J jnl
New Word Detection and Tagging on Chinese Twitter Stream.
Trans. Large Scale Data Knowl. Centered Syst.
Yuzhi Liang, Pengcheng Yin, Siu-Ming Yiu
2017 J jnl
Softmax Q-Distribution Estimation for Structured Prediction: A Theoretical Interpretation for RAML.
CoRR
Xuezhe Ma, Pengcheng Yin, Jingzhou Liu, Graham Neubig, Eduard H. Hovy
2016 J jnl
3D Cadastral Data Model Based on Conformal Geometry Algebra.
ISPRS Int. J. Geo Inf.
Ji-yi Zhang, Pengcheng Yin, Gang Li, Hehe Gu, Hua Zhao, Jianchun Fu
2016 A* conf
Neural Enquirer: Learning to Query Tables in Natural Language.
IJCAI
Pengcheng Yin, Zhengdong Lu, Hang Li, Ben Kao
2015 A conf
Answering Questions with Complex Semantic Constraints on Open Knowledge Bases.
CIKM
Pengcheng Yin, Nan Duan, Ben Kao, Junwei Bao, Ming Zhou
2015 J jnl
Neural Enquirer: Learning to Query Tables.
CoRR
Pengcheng Yin, Zhengdong Lu, Hang Li, Ben Kao
2015 B conf
New Word Detection and Tagging on Chinese Twitter Stream.
DaWaK
Yuzhi Liang, Pengcheng Yin, Siu-Ming Yiu
2013 J jnl
Protein function annotation with Structurally Aligned Local Sites of Activity (SALSAs).
BMC Bioinform.
Zhouxi Wang, Pengcheng Yin, Joslynn S. Lee, Ramya Parasuram, Srinivas Somarowthu, Mary Jo Ondrechen