Pengfei Fang
23 papers · 2019–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (10) π Cross-Pollinator (12)
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Academic Marathon
(6)
π§
Keyword Pioneer
π
Cross-Pollinator
(12)
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Dynamic Duo
(10)
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(5)
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Century Club
(20)
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Prolific Year
(5)
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Keyword Collector
(97)
Conferences
AAAI (8)
ICCV (4)
CVPR (2)
ECCV (2)
ICML (2)
ACL (1)
COLING (1)
IJCAI (1)
NIPS (1)
WACV (1)
Top co-authors
Keywords
few-shot learning
(7)
representation learning
(4)
hyperbolic space
(4)
zero-shot learning
(4)
attention mechanism
(4)
kernel methods
(3)
metric learning
(2)
data augmentation
(2)
image restoration
(2)
domain adaptation
(2)
catastrophic forgetting
(2)
cross-domain few-shot learning
(2)
hierarchical structure
(2)
class incremental learning
(2)
embedding learning
(1)
style transfer
(1)
policy gradient
(1)
scene understanding
(1)
reinforcement learning
(1)
audio-visual learning
(1)
Papers
Adaptive Hyperbolic Kernels: Modulated Embedding in de Branges-Rovnyak Spaces
AAAI 2026
Intra-Image Mining and Symmetric Maximum Concept Matching for Few Shot Out-of-Distribution Detection
AAAI 2026
HAP: Harmonized Amplitude Perturbation for Cross-Domain Few-Shot Learning
AAAI 2026
PEARL: Input-Agnostic Prompt Enhancement with Negative Feedback Regulation for Class-Incremental Learning
AAAI 2025
SVasP: Self-Versatility Adversarial Style Perturbation for Cross-Domain Few-Shot Learning
AAAI 2025
Text Image Inpainting via Global Structure-Guided Diffusion Models
AAAI 2024
Copula-Nested Spectral Kernel Network
ICML 2024
CosNet: A Generalized Spectral Kernel Network
NIPS 2023
Improving Scene Text Image Super-resolution via Dual Prior Modulation Network
AAAI 2023
Uni-Encoder: A Fast and Accurate Response Selection Paradigm for Generation-Based Dialogue Systems
ACL 2023
Hyperbolic Audio-visual Zero-shot Learning
ICCV 2023
Expanding the Hyperbolic Kernels: A Curvature-aware Isometric Embedding View
IJCAI 2023
Learning Instance and Task-Aware Dynamic Kernels for Few-Shot Learning
ECCV 2022
Adaptive PoincarΓ© Point to Set Distance for Few-Shot Classification
AAAI 2022
Human-in-the-loop Robotic Grasping Using BERT Scene Representation
COLING 2022
You Only Cut Once: Boosting Data Augmentation with a Single Cut
ICML 2022
Blind Image Decomposition
ECCV 2022
Semantic-Aware Knowledge Distillation for Few-Shot Class-Incremental Learning
CVPR 2021
Kernel Methods in Hyperbolic Spaces
ICCV 2021
Synthesized Feature Based Few-Shot Class-Incremental Learning on a Mixture of Subspaces
ICCV 2021
Set Augmented Triplet Loss for Video Person Re-Identification
WACV 2021
Reinforced Attention for Few-Shot Learning and Beyond
CVPR 2021
Bilinear Attention Networks for Person Retrieval
ICCV 2019