Pengfei Zhu
48 papers · 2013–2026 · 11 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (11) π Academic Marathon (12) π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (12) π Cross-Pollinator (11)
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Cross-Pollinator
(11)
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Renaissance Researcher
(7)
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Interdisciplinary Bridge
π±
Topic Pioneer
π€
Dynamic Duo
(34)
π
Grand Slam
β‘
Prolific Year
(12)
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Conference Pioneer
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Trend Setter
π₯
Unstoppable
(10)
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Century Club
(43)
ποΈ
Keyword Collector
(191)
β
The Questioner
Conferences
AAAI (14)
CVPR (7)
IJCAI (7)
ICCV (5)
ECCV (3)
ICML (3)
NIPS (3)
COLING (2)
ICLR (2)
ACL (1)
IJCNLP (1)
Top co-authors
Keywords
image fusion
(6)
semi-supervised learning
(4)
continual learning
(3)
transfer learning
(3)
multimodal learning
(3)
knowledge distillation
(3)
image classification
(3)
convolutional neural network
(3)
infrared imaging
(3)
metric learning
(3)
representation learning
(3)
unsupervised learning
(3)
feature learning
(3)
multi-task learning
(2)
image restoration
(2)
object detection
(2)
catastrophic forgetting
(2)
matrix factorization
(2)
subspace clustering
(2)
feature extraction
(2)
Papers
Point Cloud Quantization Through Multimodal Prompting for 3D Understanding
AAAI 2026
Reconcile Gradient Modulation for Harmony Multimodal Learning
AAAI 2026
VTD-CLIP: Video-to-Text Discretization via Prompting CLIP
AAAI 2026
Dream-IF: Dynamic Relative EnhAnceMent for Image Fusion
AAAI 2026
CtrlFuse: Mask-Prompt Guided Controllable Infrared and Visible Image Fusion
AAAI 2026
Decoupled Multi-Predictor Optimization for Inference-Efficient Model Tuning
ICCV 2025
Asymmetric Factorized Bilinear Operation for Vision Transformer
ICLR 2025
Socialized Coevolution: Advancing a Better World through Cross-Task Collaboration
ICML 2025
Task-Gated Multi-Expert Collaboration Network for Degraded Multi-Modal Image Fusion
ICML 2025
Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark
ICLR 2025
Asymmetric Reinforcing Against Multi-Modal Representation Bias
AAAI 2025
Dynamic Brightness Adaptation for Robust Multi-modal Image Fusion
IJCAI 2024
Persistence Homology Distillation for Semi-supervised Continual Learning
NIPS 2024
Conditional Controllable Image Fusion
NIPS 2024
Bi-directional Adapter for Multimodal Tracking
AAAI 2024
Exploring Diverse Representations for Open Set Recognition
AAAI 2024
Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning
AAAI 2024
Every Node Is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering
AAAI 2024
Task-Customized Mixture of Adapters for General Image Fusion
CVPR 2024
AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning
CVPR 2024
Visible and Clear: Finding Tiny Objects in Difference Map
ECCV 2024
Socialized Learning: Making Each Other Better Through Multi-Agent Collaboration
ICML 2024
What Matters in Graph Class Incremental Learning? An Information Preservation Perspective
NIPS 2024
ERNIE-Music: Text-to-Waveform Music Generation with Diffusion Models
IJCNLP 2023
Tuning Pre-trained Model via Moment Probing
ICCV 2023
Multi-Modal Gated Mixture of Local-to-Global Experts for Dynamic Image Fusion
ICCV 2023
Unsupervised Self-Driving Attention Prediction via Uncertainty Mining and Knowledge Embedding
ICCV 2023
Retrieval-Augmented Domain Adaptation of Language Models
ACL 2023
Label-Efficient Hybrid-Supervised Learning for Medical Image Segmentation
AAAI 2022
Dynamic Hybrid Relation Exploration Network for Cross-Domain Context-Dependent Semantic Parsing
AAAI 2021
Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark
CVPR 2021
Multi-View Information-Bottleneck Representation Learning
AAAI 2021
Spatial Attention Pyramid Network for Unsupervised Domain Adaptation
ECCV 2020
Collaborative Graph Convolutional Networks: Unsupervised Learning Meets Semi-Supervised Learning
AAAI 2020
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
CVPR 2020
SPL-MLL: Selecting Predictable Landmarks for Multi-Label Learning
ECCV 2020
Progressive Image Deraining Networks: A Better and Simpler Baseline
CVPR 2019
Flexible Multi-View Representation Learning for Subspace Clustering
IJCAI 2019
Deep Global Generalized Gaussian Networks
CVPR 2019
Beyond Similar and Dissimilar Relations : A Kernel Regression Formulation for Metric Learning
IJCAI 2018
FISH-MML: Fisher-HSIC Multi-View Metric Learning
IJCAI 2018
Modeling Multi-turn Conversation with Deep Utterance Aggregation
COLING 2018
Lingke: a Fine-grained Multi-turn Chatbot for Customer Service
COLING 2018
Towards Generalized and Efficient Metric Learning on Riemannian Manifold
IJCAI 2018
Hierarchical Feature Selection with Recursive Regularization
IJCAI 2017
Latent Multi-View Subspace Clustering
CVPR 2017
A Self-Representation Induced Classifier
IJCAI 2016
From Point to Set: Extend the Learning of Distance Metrics
ICCV 2013