Haozhe An

According to our database, Haozhe An authored at least 12 papers between 2020 and 2023.

Collaborative distances:

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

2023

SODAPOP: Open-Ended Discovery of Social Biases in Social Commonsense Reasoning Models.

Haozhe An, Zongxia Li, Jieyu Zhao, Rachel Rudinger

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Nichelle and Nancy: The Influence of Demographic Attributes and Tokenization Length on First Name Biases.

Haozhe An, Rachel Rudinger

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022

COLAM: Co-Learning of Deep Neural Networks and Soft Labels via Alternating Minimization.

Xingjian Li, Haoyi Xiong, Haozhe An, Cheng-Zhong Xu, Dejing Dou

Neural Process. Lett., 2022

Exploring the common principal subspace of deep features in neural networks.

Haoran Liu, Haoyi Xiong, Yaqing Wang, Haozhe An, Dejing Dou, Dongrui Wu

Mach. Learn., 2022

Investigating Information Inconsistency in Multilingual Open-Domain Question Answering.

Shramay Palta, Haozhe An, Yifan Yang, Shuaiyi Huang, Maharshi Gor

CoRR, 2022

The Fine-Grained Complexity of Multi-Dimensional Ordering Properties.

Haozhe An, Mohit Gurumukhani, Russell Impagliazzo, Michael Jaber, Marvin Künnemann, Maria Paula Parga Nina

Algorithmica, 2022

Learning Bias-reduced Word Embeddings Using Dictionary Definitions.

Haozhe An, Xiaojiang Liu, Donald Zhang

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

2021

Robot-Enhanced Telepresence of Remote Teachers for Effective Distance Learning.

Haozhe An, Michael Bowman, Songpo Li, Xiaoli Zhang

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2021

2020

XMixup: Efficient Transfer Learning with Auxiliary Samples by Cross-domain Mixup.

Xingjian Li, Haoyi Xiong, Haozhe An, Chengzhong Xu, Dejing Dou

CoRR, 2020

RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr.

Xingjian Li, Haoyi Xiong, Haozhe An, Cheng-Zhong Xu, Dejing Dou

Proceedings of the 37th International Conference on Machine Learning, 2020

An Investigation of Containment Measures Against the COVID-19 Pandemic in Mainland China.

Ji Liu, Xiakai Wang, Haoyi Xiong, Jizhou Huang, Siyu Huang, Haozhe An, Dejing Dou, Haifeng Wang

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Quasi-optimal Data Placement for Secure Multi-tenant Data Federation on the Cloud.

Qi Kang, Ji Liu, Sijia Yang, Haoyi Xiong, Haozhe An, Xingjian Li, Zhi Feng, Licheng Wang, Dejing Dou

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020