Hangfeng He
22 papers · 2017–2026 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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🗺️ Taxonomy Completionist (52) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Machine Learning
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Natural Language Processing
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Learning Types · Machine Learning
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Artificial Intelligence
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Deep Learning
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Applications
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Core Methods
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Learning Types · Deep Learning
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Computer Vision
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large language model
(5)
named entity recognition
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question answering
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neural tangent kernel
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sequence tagging
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text classification
(2)
neural network
(2)
vision-language model
(2)
stochastic gradient descent
(2)
adversarial robustness
(1)
uncertainty quantification
(1)
semi-supervised learning
(1)
epistemic uncertainty
(1)
knowledge transfer
(1)
sequence labeling
(1)
structured prediction
(1)
zero-shot learning
(1)
natural language generation
(1)
machine-generated text detection
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transfer learning
(1)
Papers
Ranking Human and LLM Texts Using Locality Statistics
EACL 2026
Analyzing Uncertainty of LLM-as-a-Judge: Interval Evaluations with Conformal Prediction
EMNLP 2025
Mitigating Hallucinations in Multimodal Spatial Relations through Constraint-Aware Prompting
NAACL 2025
On the Role of Model Prior in Real-World Inductive Reasoning
EMNLP 2025
Same Company, Same Signal: The Role of Identity in Earnings Call Transcripts
ACL 2025
The Role of Model Confidence on Bias Effects in Measured Uncertainties for Vision-Language Models
EMNLP 2025
TreeRare: Syntax Tree-Guided Retrieval and Reasoning for Knowledge-Intensive Question Answering
EMNLP 2025
An Empirical Analysis on Large Language Models in Debate Evaluation
ACL 2024
SocREval: Large Language Models with the Socratic Method for Reference-free Reasoning Evaluation
NAACL 2024
Unveiling Divergent Inductive Biases of LLMs on Temporal Data
NAACL 2024
On Regularization and Inference with Label Constraints
ICML 2023
Weighted Training for Cross-Task Learning
ICLR 2022
Foreseeing the Benefits of Incidental Supervision
EMNLP 2021
Toward Better Generalization Bounds with Locally Elastic Stability
ICML 2021
Label-Aware Neural Tangent Kernel: Toward Better Generalization and Local Elasticity
NeurIPS 2020
QANom: Question-Answer driven SRL for Nominalizations
COLING 2020
QuASE: Question-Answer Driven Sentence Encoding
ACL 2020
The Local Elasticity of Neural Networks
ICLR 2020
Towards Understanding the Dynamics of the First-Order Adversaries
ICML 2020
Partial Or Complete, That’s The Question
NAACL 2019
Detecting negation scope is easy, except when it isn’t
EACL 2017
F-Score Driven Max Margin Neural Network for Named Entity Recognition in Chinese Social Media
EACL 2017