Hai Ye

According to our database, Hai Ye authored at least 23 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

High-Frequency Fault Analysis-Based Pilot Protection Scheme for a Distribution Network With High Photovoltaic Penetration.

Xiaodong Zheng, Chenxu Chao, Yang Weng, Hai Ye, Zhongping Liu, Piao Gao, Nengling Tai

IEEE Trans. Smart Grid, 2023

Test-Time Adaptation with Perturbation Consistency Learning.

Yi Su, Yixin Ji, Juntao Li, Hai Ye, Min Zhang

CoRR, 2023

Robust Question Answering against Distribution Shifts with Test-Time Adaptation: An Empirical Study.

Hai Ye, Yuyang Ding, Juntao Li, Hwee Tou Ng

CoRR, 2023

Beware of Model Collapse! Fast and Stable Test-time Adaptation for Robust Question Answering.

Yi Su, Yixin Ji, Juntao Li, Hai Ye, Min Zhang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Isotropic Representation Can Improve Zero-Shot Cross-Lingual Transfer on Multilingual Language Models.

Yixin Ji, Jikai Wang, Juntao Li, Hai Ye, Min Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Multi-Source Test-Time Adaptation as Dueling Bandits for Extractive Question Answering.

Hai Ye, Qizhe Xie, Hwee Tou Ng

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Robust Question Answering against Distribution Shifts with Test-Time Adaption: An Empirical Study.

Hai Ye, Yuyang Ding, Juntao Li, Hwee Tou Ng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

On the Robustness of Question Rewriting Systems to Questions of Varying Hardness.

Hai Ye, Hwee Tou Ng, Wenjuan Han

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation.

Ruidan He, Linlin Liu, Hai Ye, Qingyu Tan, Bosheng Ding, Liying Cheng, Jia-Wei Low, Lidong Bing, Luo Si

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Deep ranking based cost-sensitive multi-label learning for distant supervision relation extraction.

Hai Ye, Zhunchen Luo

Inf. Process. Manag., 2020

Feature Adaptation of Pre-Trained Language Models across Languages and Domains for Text Classification.

Hai Ye, Qingyu Tan, Ruidan He, Juntao Li, Hwee Tou Ng, Lidong Bing

CoRR, 2020

Unsupervised Domain Adaptation of a Pretrained Cross-Lingual Language Model.

Juntao Li, Ruidan He, Hai Ye, Hwee Tou Ng, Lidong Bing, Rui Yan

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Feature Adaptation of Pre-Trained Language Models across Languages and Domains with Robust Self-Training.

Hai Ye, Qingyu Tan, Ruidan He, Juntao Li, Hwee Tou Ng, Lidong Bing

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Jointly Learning Semantic Parser and Natural Language Generator via Dual Information Maximization.

Hai Ye, Wenjie Li, Lu Wang

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Interpretable Charge Predictions for Criminal Cases: Learning to Generate Court Views from Fact Descriptions.

Hai Ye, Xin Jiang, Zhunchen Luo, Wenhan Chao

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

The Identification of Human Errors in the Power Dispatching Based on the TRACEr Method.

Xiaobi Teng, Yanyu Lu, Zhen Wang, Bingbing Song, Hai Ye, Yi Zhou, Shan Fu

Proceedings of the Engineering Psychology and Cognitive Ergonomics, 2018

A Multidimensional Workload Assessment Method for Power Grid Dispatcher.

Bingbing Song, Zhen Wang, Yanyu Lu, Xiaobi Teng, Xinyi Chen, Yi Zhou, Hai Ye, Shan Fu

Proceedings of the Engineering Psychology and Cognitive Ergonomics, 2018

Semi-Supervised Learning for Neural Keyphrase Generation.

Hai Ye, Lu Wang

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Interpretable Rationale Augmented Charge Prediction System.

Xin Jiang, Hai Ye, Zhunchen Luo, Wenhan Chao, Wenjia Ma

Proceedings of the COLING 2018, 2018

2017

Dependency-Tree Based Convolutional Neural Networks for Aspect Term Extraction.

Hai Ye, Zichao Yan, Zhunchen Luo, Wen-Han Chao

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Jointly Extracting Relations with Class Ties via Effective Deep Ranking.

Hai Ye, Wenhan Chao, Zhunchen Luo, Zhoujun Li

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Jointly Extracting Relations with Class Ties via Effective Deep Ranking.

Hai Ye, Wenhan Chao, Zhunchen Luo

CoRR, 2016

Homogenous Color Transfer Using Texture Retrieval and Matching.

Chang Xing, Hai Ye, Tao Yu, Zhong Zhou

Proceedings of the Advances in Multimedia Information Processing - PCM 2016, 2016