Hongfu Liu
31 papers · 2013–2026 · 11 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.
Achievements
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πΊοΈ Taxonomy Completionist (65) π Conference Polyglot Β· Gold π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Triple Crown
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Topic Evolution
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Grand Slam
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Prolific Year Β· Productive
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Unstoppable Β· Bronze
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The Questioner
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Century Club Β· Bronze
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Conference Pioneer
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Renaissance Researcher
(8)
ποΈ
Keyword Collector
(165)
Venues
Top co-authors
Research topics
Machine Learning
(24)
Artificial Intelligence
(19)
Core AI
(14)
Learning Types Β· Machine Learning
(13)
Deep Learning
(11)
Application Areas
(10)
Core Methods
(9)
Learning Types Β· Deep Learning
(8)
Natural Language Processing
(7)
Learning Paradigms
(5)
Optimization & Theory
(5)
Resources & Methods
(5)
Computer Vision
(4)
Architectures
(4)
Speech & Audio
(3)
Keywords
large language model
(5)
influence function
(4)
representation learning
(3)
transfer learning
(3)
zero-shot learning
(2)
graph neural network
(2)
consensus partition
(2)
adversarial attack
(2)
graph convolutional network
(2)
jailbreak attack
(2)
ensemble clustering
(2)
question answering
(2)
consensus clustering
(2)
document analysis
(2)
fair clustering
(2)
in-context learning
(2)
test-time adaptation
(2)
self-supervised learning
(2)
k-means clustering
(1)
cluster analysis
(1)
Papers
OIDA-QA: A Multimodal Benchmark for Analyzing the Opioid Industry Documents Archive
AAAI 2026
Unlocking Large Audio-Language Models for Interactive Language Learning
EACL 2026
On Calibration of LLM-based Guard Models for Reliable Content Moderation
ICLR 2025
Outlier Gradient Analysis: Efficiently Identifying Detrimental Training Samples for Deep Learning Models
ICML 2025
Advancing Adversarial Suffix Transfer Learning on Aligned Large Language Models
EMNLP 2024
Advancing Test-Time Adaptation in Wild Acoustic Test Settings
EMNLP 2024
Benchmarking Large Language Models on Communicative Medical Coaching: A Dataset and a Novel System
ACL 2024
Category-Aware Active Domain Adaptation
ICML 2024
Discursive Socratic Questioning: Evaluating the Faithfulness of Language Modelsβ Understanding of Discourse Relations
ACL 2024
"What Data Benefits My Classifier?" Enhancing Model Performance and Interpretability through Influence-Based Data Selection
ICLR 2024
Characterizing the Influence of Graph Elements
ICLR 2023
Learning Antidote Data to Individual Unfairness
ICML 2023
Robust Fair Clustering: A Novel Fairness Attack and Defense Framework
ICLR 2023
Towards Informative Few-Shot Prompt with Maximum Information Gain for In-Context Learning
EMNLP 2023
Zero-Shot Automatic Pronunciation Assessment
Interspeech 2023
Achieving Fairness at No Utility Cost via Data Reweighing with Influence
ICML 2022
Exploiting Temporal Relations on Radar Perception for Autonomous Driving
CVPR 2022
Extrapolative Continuous-time Bayesian Neural Network for Fast Training-free Test-time Adaptation
NeurIPS 2022
Label-invariant Augmentation for Semi-Supervised Graph Classification
NeurIPS 2022
Implicit Semantic Response Alignment for Partial Domain Adaptation
NeurIPS 2021
On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections
ICLR 2021
SelfDoc: Self-Supervised Document Representation Learning
CVPR 2021
STRODE: Stochastic Boundary Ordinary Differential Equation
ICML 2021
Towards Novel Target Discovery Through Open-Set Domain Adaptation
ICCV 2021
Deep Fair Clustering for Visual Learning
CVPR 2020
Adversarial Graph Embedding for Ensemble Clustering
IJCAI 2019
Marginalized Latent Semantic Encoder for Zero-Shot Learning
CVPR 2019
Structured and Sparse Annotations for Image Emotion Distribution Learning
AAAI 2019
From Ensemble Clustering to Multi-View Clustering
IJCAI 2017
Incomplete Multi-Modal Visual Data Grouping
IJCAI 2016
A Theoretic Framework of K-Means-Based Consensus Clustering
IJCAI 2013