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Yiheng Shen
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2020 – today
- 2024
- [j2]Yiheng Shen, Xiaolin Ju, Xiang Chen, Guang Yang:
Bash comment generation via data augmentation and semantic-aware CodeBERT. Autom. Softw. Eng. 31(1): 30 (2024) - [j1]Junjie Zhao, Xiang Chen, Guang Yang, Yiheng Shen:
Automatic smart contract comment generation via large language models and in-context learning. Inf. Softw. Technol. 168: 107405 (2024) - [c11]Siddhartha Banerjee, Kamesh Munagala, Yiheng Shen, Kangning Wang:
Fair Price Discrimination. SODA 2024: 2679-2703 - [i12]Kritkorn Karntikoon, Yiheng Shen, Sreenivas Gollapudi, Kostas Kollias, Aaron Schild, Ali Kemal Sinop:
First Passage Percolation with Queried Hints. CoRR abs/2403.10640 (2024) - 2023
- [c10]Yafeng Gu, Yiheng Shen, Xiang Chen, Shaoyu Yang, Yiling Huang, Zhixiang Cao:
APICom: Automatic API Completion via Prompt Learning and Adversarial Training-based Data Augmentation. Internetware 2023: 259-269 - [c9]Yiheng Shen, Xiaolin Ju, Xiang Chen, Guang Yang:
An Empirical Study of Adversarial Training in Code Comment Generation. SEKE 2023: 292-297 - [c8]Ivan-Aleksandar Mavrov, Kamesh Munagala, Yiheng Shen:
Fair Multiwinner Elections with Allocation Constraints. EC 2023: 964-990 - [i11]Ivan-Aleksandar Mavrov, Kamesh Munagala, Yiheng Shen:
Fair Multiwinner Elections with Allocation Constraints. CoRR abs/2305.02868 (2023) - [i10]Siddhartha Banerjee, Kamesh Munagala, Yiheng Shen, Kangning Wang:
Fair Price Discrimination. CoRR abs/2305.07006 (2023) - [i9]Yafeng Gu, Yiheng Shen, Xiang Chen, Shaoyu Yang, Yiling Huang, Zhixiang Cao:
APICom: Automatic API Completion via Prompt Learning and Adversarial Training-based Data Augmentation. CoRR abs/2309.07026 (2023) - [i8]Junjie Zhao, Xiang Chen, Guang Yang, Yiheng Shen:
Automatic Smart Contract Comment Generation via Large Language Models and In-Context Learning. CoRR abs/2311.10388 (2023) - 2022
- [c7]Mengjing Chen, Yang Liu, Weiran Shen, Yiheng Shen, Pingzhong Tang, Qiang Yang:
A Mechanism Design Approach for Multi-party Machine Learning. FAW 2022: 248-268 - [c6]Kamesh Munagala, Yiheng Shen, Kangning Wang, Zhiyi Wang:
Approximate Core for Committee Selection via Multilinear Extension and Market Clearing. SODA 2022: 2229-2252 - [c5]Kamesh Munagala, Yiheng Shen, Kangning Wang:
Auditing for Core Stability in Participatory Budgeting. WINE 2022: 292-310 - [i7]Kamesh Munagala, Yiheng Shen, Kangning Wang:
Auditing for Core Stability in Participatory Budgeting. CoRR abs/2209.14468 (2022) - 2021
- [c4]Jie Qian, Xiaolin Ju, Xiang Chen, Hao Shen, Yiheng Shen:
AGFL: A Graph Convolutional Neural Network-Based Method for Fault Localization. QRS 2021: 672-680 - [c3]Zhihua Chen, Xiaolin Ju, Yiheng Shen, Xiang Chen:
Improving Blocking Bug Pair Prediction via Hybrid Deep Learning. QRS Companion 2021: 727-732 - [c2]Yihang Hu, Zhiyi Huang, Yiheng Shen, Xiangning Wang:
Targeting Makes Sample Efficiency in Auction Design. EC 2021: 610-629 - [i6]Yihang Hu, Zhiyi Huang, Yiheng Shen, Xiangning Wang:
Targeting Makes Sample Efficiency in Auction Design. CoRR abs/2105.05123 (2021) - [i5]Kamesh Munagala, Yiheng Shen, Kangning Wang, Zhiyi Wang:
Approximate Core for Committee Selection via Multilinear Extension and Market Clearing. CoRR abs/2110.12499 (2021) - 2020
- [c1]Yiling Chen, Yiheng Shen, Shuran Zheng:
Truthful Data Acquisition via Peer Prediction. NeurIPS 2020 - [i4]Mengjing Chen, Yang Liu, Weiran Shen, Yiheng Shen, Pingzhong Tang, Qiang Yang:
Mechanism Design for Multi-Party Machine Learning. CoRR abs/2001.08996 (2020) - [i3]Yiling Chen, Yiheng Shen, Shuran Zheng:
Truthful Data Acquisition via Peer Prediction. CoRR abs/2006.03992 (2020) - [i2]Yiheng Shen:
A Study on the Splitting Strategy of Server Resources. CoRR abs/2010.03346 (2020) - [i1]Yiheng Shen, Pingzhong Tang, Yuan Deng:
New Complexity Results on Coalitional Manipulation of Borda. CoRR abs/2010.03372 (2020)
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last updated on 2024-04-16 20:32 CEST by the dblp team
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