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ORCIDLinyuan Gong
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2020 – today
- 2024
[c10]Linyuan Gong, Mostafa Elhoushi, Alvin Cheung:
AST-T5: Structure-Aware Pretraining for Code Generation and Understanding. ICML 2024- [c9]Linyuan Gong, Sida Wang, Mostafa Elhoushi, Alvin Cheung:
Evaluation of LLMs on Syntax-Aware Code Fill-in-the-Middle Tasks. ICML 2024 - [c8]Linyuan Gong, Jiayi Wang, Alvin Cheung:
ADELT: Transpilation between Deep Learning Frameworks. IJCAI 2024: 6279-6287 - [i9]Linyuan Gong, Mostafa Elhoushi, Alvin Cheung:
AST-T5: Structure-Aware Pretraining for Code Generation and Understanding. CoRR abs/2401.03003 (2024) - [i8]Linyuan Gong, Sida Wang, Mostafa Elhoushi, Alvin Cheung:
Evaluation of LLMs on Syntax-Aware Code Fill-in-the-Middle Tasks. CoRR abs/2403.04814 (2024) - 2023
- [c7]Linyuan Gong, Chenyan Xiong, Xiaodong Liu, Payal Bajaj, Yiqing Xie, Alvin Cheung
, Jianfeng Gao, Xia Song:
Model-Generated Pretraining Signals Improves Zero-Shot Generalization of Text-to-Text Transformers. ACL (1) 2023: 12933-12950 - [i7]Linyuan Gong, Jiayi Wang, Alvin Cheung:
ADELT: Transpilation Between Deep Learning Frameworks. CoRR abs/2303.03593 (2023) - [i6]Linyuan Gong, Chenyan Xiong, Xiaodong Liu, Payal Bajaj, Yiqing Xie, Alvin Cheung, Jianfeng Gao, Xia Song:
Model-Generated Pretraining Signals Improves Zero-Shot Generalization of Text-to-Text Transformers. CoRR abs/2305.12567 (2023) - 2022
- [c6]Jianhao Shen, Chenguang Wang, Linyuan Gong, Dawn Song:
Joint Language Semantic and Structure Embedding for Knowledge Graph Completion. COLING 2022: 1965-1978 - [i5]Jianhao Shen, Chenguang Wang, Linyuan Gong, Dawn Song:
Joint Language Semantic and Structure Embedding for Knowledge Graph Completion. CoRR abs/2209.08721 (2022) - 2021
- [c5]Xinyun Chen, Linyuan Gong, Alvin Cheung, Dawn Song:
PlotCoder: Hierarchical Decoding for Synthesizing Visualization Code in Programmatic Context. ACL/IJCNLP (1) 2021: 2169-2181 - [c4]Yilun Xu, Yang Song, Sahaj Garg, Linyuan Gong, Rui Shu, Aditya Grover, Stefano Ermon:
Anytime Sampling for Autoregressive Models via Ordered Autoencoding. ICLR 2021 - [i4]Yilun Xu, Yang Song, Sahaj Garg, Linyuan Gong, Rui Shu, Aditya Grover, Stefano Ermon:
Anytime Sampling for Autoregressive Models via Ordered Autoencoding. CoRR abs/2102.11495 (2021) - 2020
- [c3]Juyong Kim, Linyuan Gong, Justin Khim, Jeremy C. Weiss, Pradeep Ravikumar:
Improved Clinical Abbreviation Expansion via Non-Sense-Based Approaches. ML4H@NeurIPS 2020: 161-178 - [i3]Zhenhui Xu, Linyuan Gong, Guolin Ke, Di He, Shuxin Zheng, Liwei Wang, Jiang Bian, Tie-Yan Liu:
MC-BERT: Efficient Language Pre-Training via a Meta Controller. CoRR abs/2006.05744 (2020)
2010 – 2019
- 2019
- [c2]Linyuan Gong, Di He, Zhuohan Li, Tao Qin, Liwei Wang, Tie-Yan Liu:
Efficient Training of BERT by Progressively Stacking. ICML 2019: 2337-2346 - [c1]Yingce Xia, Xu Tan, Fei Tian, Fei Gao, Di He, Weicong Chen, Yang Fan, Linyuan Gong, Yichong Leng, Renqian Luo, Yiren Wang, Lijun Wu, Jinhua Zhu, Tao Qin, Tie-Yan Liu:
Microsoft Research Asia's Systems for WMT19. WMT (2) 2019: 424-433 - [i2]Yingce Xia, Xu Tan, Fei Tian, Fei Gao, Weicong Chen, Yang Fan, Linyuan Gong, Yichong Leng, Renqian Luo, Yiren Wang, Lijun Wu, Jinhua Zhu, Tao Qin, Tie-Yan Liu:
Microsoft Research Asia's Systems for WMT19. CoRR abs/1911.06191 (2019) - 2018
- [i1]Linyuan Gong, Ruyi Ji:
What Does a TextCNN Learn? CoRR abs/1801.06287 (2018)
Coauthor Index
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