Preprints
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Rethinking with Retrieval: Faithful Large Language Model Inference
Hangfeng He, Hongming Zhang, and Dan Roth
In Arxiv 2023. [pdf] [code] -
A Law of Data Separation in Deep Learning
Hangfeng He and Weijie Su
In Arxiv 2022. [pdf] [code] -
Robust Learning Rate Selection for Stochastic Optimization via Splitting Diagnostic
Matteo Sordello, Hangfeng He, and Weijie Su
In Arxiv 2019. [pdf]
Publications
2023
- Transfer Learning via Representation Learning
Mohammad Rostami, Hangfeng He, Muhao Chen, and Dan Roth
In Federated and Transfer Learning (Book Chapter). [pdf]
2022
- Weighted Training for Cross-Task Learning
Shuxiao Chen, Koby Crammer, Hangfeng He, Dan Roth, and Weijie Su (alphabetical order)
In ICLR 2022 (oral presentation). [pdf] [code]
2021
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Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse in Imbalanced Training
Cong Fang, Hangfeng He, Qi Long, and Weijie Su (alphabetical order)
In PNAS 2021 (direct submission). [pdf] [code] -
Foreseeing the Benefits of Incidental Supervision
Hangfeng He, Mingyuan Zhang, Qiang Ning, and Dan Roth
In EMNLP 2021. [pdf] [code] -
Toward Better Generalization Bounds with Locally Elastic Stability
Zhun Deng, Hangfeng He, and Weijie Su
In ICML 2021. [pdf]
2020
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QANom: Question-Answer driven SRL for Nominalizations
Ayal Klein, Jonathan Mamou, Valentina Pyatkin, Daniela Brook Weiss, Hangfeng He, Dan Roth, Luke Zettlemoyer, and Ido Dagan
In COLING 2020. [pdf] -
Label-Aware Neural Tangent Kernel: Toward Better Generalization and Local Elasticity
Shuxiao Chen, Hangfeng He, and Weijie Su (alphabetical order)
In NeurIPS 2020. [pdf] [code] -
Towards Understanding the Dynamics of the First-Order Adversaries
Zhun Deng, Hangfeng He, Jiaoyang Huang, and Weijie Su
In ICML 2020. [pdf] -
QuASE: Question-Answer Driven Sentence Encoding
Hangfeng He, Qiang Ning, and Dan Roth
In ACL 2020. [pdf] [code] [demo] -
Understanding Spatial Relations through Multiple Modalities
Soham Dan, Hangfeng He, and Dan Roth
In LREC 2020 (short papers). [pdf] -
The Local Elasticity of Neural Networks
Hangfeng He and Weijie Su
In ICLR 2020. [pdf] [code]
2019
- Partial or Complete, That’s The Question
Qiang Ning, Hangfeng He, Chuchu Fan, and Dan Roth
In NAACL-HLT 2019. [pdf]
2018
- Cross-Domain and Semi-Supervised Named Entity Recognition in Chinese Social Media: A Unified Model
Jingjing Xu, Hangfeng He, Xu Sun, Xuancheng Ren, and Sujian Li
In TASLP 2018. [pdf]
2017
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Detecting negation scope is easy, except when it isn’t
Federico Fancellu, Adam Lopez, Bonnie Webber, and Hangfeng He
In EACL 2017 (short papers). [pdf] -
F-Score Driven Max Margin Neural Network for Named Entity Recognition in Chinese Social Media
Hangfeng He and Xu Sun
In EACL 2017 (short papers). [pdf] -
A Unified Model for Cross-Domain and Semi-Supervised Named Entity Recognition in Chinese Social Media
Hangfeng He and Xu Sun
In AAAI 2017. [pdf]