Huafeng Liu
19 papers · 2020–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (9) π Academic Marathon (5) π Cross-Pollinator (5)
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Dynamic Duo
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Conferences
AAAI (4)
NIPS (4)
CVPR (3)
EMNLP (2)
MICCAI (2)
ACL (1)
ICCV (1)
ICML (1)
JMLR (1)
Top co-authors
Keywords
unsupervised learning
(3)
keyphrase extraction
(3)
domain adaptation
(2)
amortized inference
(2)
disentangled representation
(2)
feature learning
(1)
robust optimization
(1)
representation learning
(1)
game theory
(1)
video understanding
(1)
relational learning
(1)
unsupervised clustering
(1)
optimal transport
(1)
noisy label learning
(1)
link prediction
(1)
image synthesis
(1)
multimodal learning
(1)
variational inference
(1)
attention mechanism
(1)
self-supervised learning
(1)
Papers
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
UNIALIGN: Scaling Multimodal Alignment within One Unified Model
CVPR 2025
Learning Robust Neural Processes with Risk-Averse Stochastic Optimization
ICML 2025
IMREPET: Implicit Neural Representation for Unsupervised Dynamic PET Reconstruction
MICCAI 2025
PD-INR: Prior-Driven Implicit Neural Representations for TOF-PET Reconstruction
MICCAI 2025
VideoMAC: Video Masked Autoencoders Meet ConvNets
CVPR 2024
On the Identifiability of Hybrid Deep Generative Models: Meta-Learning as a Solution
NIPS 2024
FashionR2R: Texture-preserving Rendered-to-Real Image Translation with Diffusion Models
NIPS 2024
Mitigating Over-Generation for Unsupervised Keyphrase Extraction with Heterogeneous Centrality Detection
EMNLP 2023
Improving Embedding-based Unsupervised Keyphrase Extraction by Incorporating Structural Information
ACL 2023
Neural Processes with Stability
NIPS 2023
HyperRank: Hyperbolic Ranking Model for Unsupervised Keyphrase Extraction
EMNLP 2023
Deep Amortized Relational Model with Group-Wise Hierarchical Generative Process
AAAI 2022
Amortized Mixing Coupling Processes for Clustering
NIPS 2022
Interpretable Deep Generative Recommendation Models
JMLR 2021
Interpretable Image Recognition by Constructing Transparent Embedding Space
ICCV 2021
Cluster-Wise Hierarchical Generative Model for Deep Amortized Clustering
CVPR 2021
Web-Supervised Network with Softly Update-Drop Training for Fine-Grained Visual Classification
AAAI 2020