Haozhe An

27 papers A* 3A 1B 1Journal 15Unranked 7
YearRankTypeTitle / Venue / Authors
2025 — conf
On the Mutual Influence of Gender and Occupation in LLM Representations.
ACL (1)
Haozhe An, Connor Baumler, Abhilasha Sancheti, Rachel Rudinger
2025 J jnl
On the Mutual Influence of Gender and Occupation in LLM Representations.
CoRR
Haozhe An, Connor Baumler, Abhilasha Sancheti, Rachel Rudinger
2024 — conf
Do Large Language Models Discriminate in Hiring Decisions on the Basis of Race, Ethnicity, and Gender?
ACL (Short Papers)
Haozhe An, Christabel Acquaye, Colin Wang, Zongxia Li, Rachel Rudinger
2024 J jnl
Do Large Language Models Discriminate in Hiring Decisions on the Basis of Race, Ethnicity, and Gender?
CoRR
Haozhe An, Christabel Acquaye, Colin Wang, Zongxia Li, Rachel Rudinger
2024 A* conf
On the Influence of Gender and Race in Romantic Relationship Prediction from Large Language Models.
EMNLP
Abhilasha Sancheti, Haozhe An, Rachel Rudinger
2024 J jnl
On the Influence of Gender and Race in Romantic Relationship Prediction from Large Language Models.
CoRR
Abhilasha Sancheti, Haozhe An, Rachel Rudinger
2024 J jnl
Susu Box or Piggy Bank: Assessing Cultural Commonsense Knowledge between Ghana and the U.S.
CoRR
Christabel Acquaye, Haozhe An, Rachel Rudinger
2024 A* conf
Susu Box or Piggy Bank: Assessing Cultural Commonsense Knowledge between Ghana and the US.
EMNLP
Christabel Acquaye, Haozhe An, Rachel Rudinger
2023 — conf
Nichelle and Nancy: The Influence of Demographic Attributes and Tokenization Length on First Name Biases.
ACL (2)
Haozhe An, Rachel Rudinger
2023 J jnl
Nichelle and Nancy: The Influence of Demographic Attributes and Tokenization Length on First Name Biases.
CoRR
Haozhe An, Rachel Rudinger
2023 A conf
SODAPOP: Open-Ended Discovery of Social Biases in Social Commonsense Reasoning Models.
EACL
Haozhe An, Zongxia Li, Jieyu Zhao, Rachel Rudinger
2022 J jnl
COLAM: Co-Learning of Deep Neural Networks and Soft Labels via Alternating Minimization.
Neural Process. Lett.
Xingjian Li, Haoyi Xiong, Haozhe An, Cheng-Zhong Xu, Dejing Dou
2022 J jnl
Exploring the common principal subspace of deep features in neural networks.
Mach. Learn.
Haoran Liu, Haoyi Xiong, Yaqing Wang, Haozhe An, Dejing Dou, Dongrui Wu
2022 J jnl
Investigating Information Inconsistency in Multilingual Open-Domain Question Answering.
CoRR
Shramay Palta, Haozhe An, Yifan Yang, Shuaiyi Huang, Maharshi Gor
2022 — conf
Learning Bias-reduced Word Embeddings Using Dictionary Definitions.
ACL (Findings)
Haozhe An, Xiaojiang Liu, Donald Zhang
2022 J jnl
SODAPOP: Open-Ended Discovery of Social Biases in Social Commonsense Reasoning Models.
CoRR
Haozhe An, Zongxia Li, Jieyu Zhao, Rachel Rudinger
2022 J jnl
The Fine-Grained Complexity of Multi-Dimensional Ordering Properties.
Algorithmica
Haozhe An, Mohit Gurumukhani, Russell Impagliazzo, Michael Jaber, Marvin Künnemann, Maria Paula Parga Nina
2021 J jnl
Exploring the Common Principal Subspace of Deep Features in Neural Networks.
CoRR
Haoran Liu, Haoyi Xiong, Yaqing Wang, Haozhe An, Dongrui Wu, Dejing Dou
2021 — conf
Robot-Enhanced Telepresence of Remote Teachers for Effective Distance Learning.
ROBIO
Haozhe An, Michael Bowman, Songpo Li, Xiaoli Zhang
2021 B conf
The Fine-Grained Complexity of Multi-Dimensional Ordering Properties.
IPEC
Haozhe An, Mohit Gurumukhani, Russell Impagliazzo, Michael Jaber, Marvin Künnemann, Maria Paula Parga Nina
2020 — conf
An Investigation of Containment Measures Against the COVID-19 Pandemic in Mainland China.
IEEE BigData
Ji Liu, Xiakai Wang, Haoyi Xiong, Jizhou Huang, Siyu Huang, Haozhe An, Dejing Dou, Haifeng Wang
2020 J jnl
An Investigation of Containment Measures Against the COVID-19 Pandemic in Mainland China.
CoRR
Ji Liu, Xiakai Wang, Haoyi Xiong, Jizhou Huang, Siyu Huang, Haozhe An, Dejing Dou, Haifeng Wang
2020 J jnl
COLAM: Co-Learning of Deep Neural Networks and Soft Labels via Alternating Minimization.
CoRR
Xingjian Li, Haoyi Xiong, Haozhe An, Dejing Dou, Chengzhong Xu
2020 — conf
Quasi-optimal Data Placement for Secure Multi-tenant Data Federation on the Cloud.
IEEE BigData
Qi Kang, Ji Liu, Sijia Yang, Haoyi Xiong, Haozhe An, Xingjian Li, Zhi Feng, Licheng Wang, Dejing Dou
2020 A* conf
RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr.
ICML
Xingjian Li, Haoyi Xiong, Haozhe An, Cheng-Zhong Xu, Dejing Dou
2020 J jnl
RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr.
CoRR
Xingjian Li, Haoyi Xiong, Haozhe An, Chengzhong Xu, Dejing Dou
2020 J jnl
XMixup: Efficient Transfer Learning with Auxiliary Samples by Cross-domain Mixup.
CoRR
Xingjian Li, Haoyi Xiong, Haozhe An, Chengzhong Xu, Dejing Dou