Huafeng Liu
20 papers · 2020–2026 · 9 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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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (45)
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Dynamic Duo
(11)
ποΈ
Keyword Collector
(111)
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Trend Setter
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Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
Top co-authors
Research topics
Machine Learning
(14)
Core Methods
(10)
Deep Learning
(9)
Artificial Intelligence
(6)
Core AI
(5)
Learning Types Β· Machine Learning
(5)
Optimization & Theory
(5)
Computer Vision
(4)
Architectures
(4)
Models
(4)
Learning Paradigms
(3)
Learning Types Β· Deep Learning
(3)
Mathematics & Optimization
(2)
Analysis
(2)
Application Areas
(2)
Keywords
keyphrase extraction
(3)
unsupervised learning
(3)
disentangled representation
(2)
domain adaptation
(2)
amortized inference
(2)
robust optimization
(1)
link prediction
(1)
stochastic optimization
(1)
uncertainty modeling
(1)
variational inference
(1)
image classification
(1)
game theory
(1)
relational learning
(1)
unsupervised clustering
(1)
self-supervised learning
(1)
nonparametric bayesian
(1)
noisy label learning
(1)
attention mechanism
(1)
multimodal learning
(1)
optimal transport
(1)
Papers
GSV2X: Geometry-Aware Uncertainty Modeling and Orthogonal Fusion for Robust Roadside Perception
CVPR 2026
Learning Neural Operators from Partial Observations via Latent Autoregressive Modeling
AAAI 2026
MetaGameBO: Hierarchical Game-Theoretic Driven Robust Meta-Learning for Bayesian Optimization
AAAI 2026
IMREPET: Implicit Neural Representation for Unsupervised Dynamic PET Reconstruction
MICCAI 2025
Learning Robust Neural Processes with Risk-Averse Stochastic Optimization
ICML 2025
PD-INR: Prior-Driven Implicit Neural Representations for TOF-PET Reconstruction
MICCAI 2025
UNIALIGN: Scaling Multimodal Alignment within One Unified Model
CVPR 2025
FashionR2R: Texture-preserving Rendered-to-Real Image Translation with Diffusion Models
NeurIPS 2024
On the Identifiability of Hybrid Deep Generative Models: Meta-Learning as a Solution
NeurIPS 2024
VideoMAC: Video Masked Autoencoders Meet ConvNets
CVPR 2024
HyperRank: Hyperbolic Ranking Model for Unsupervised Keyphrase Extraction
EMNLP 2023
Improving Embedding-based Unsupervised Keyphrase Extraction by Incorporating Structural Information
ACL 2023
Mitigating Over-Generation for Unsupervised Keyphrase Extraction with Heterogeneous Centrality Detection
EMNLP 2023
Neural Processes with Stability
NeurIPS 2023
Amortized Mixing Coupling Processes for Clustering
NeurIPS 2022
Deep Amortized Relational Model with Group-Wise Hierarchical Generative Process
AAAI 2022
Cluster-Wise Hierarchical Generative Model for Deep Amortized Clustering
CVPR 2021
Interpretable Deep Generative Recommendation Models
JMLR 2021
Interpretable Image Recognition by Constructing Transparent Embedding Space
ICCV 2021
Web-Supervised Network with Softly Update-Drop Training for Fine-Grained Visual Classification
AAAI 2020