Pengfei Zhu

48 papers · 2013–2026 · 11 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (12) 🧭 Keyword Pioneer 🌍 Conference Polyglot (11) 🏃 Academic Marathon (12) 🐝 Cross-Pollinator (11) 🌈 Renaissance Researcher (7) 🌉 Interdisciplinary Bridge 🌱 Topic Pioneer 🤝 Dynamic Duo (34) 🏆 Grand Slam ⚡ Prolific Year (12) 🚀 Conference Pioneer 📈 Trend Setter 🔥 Unstoppable (10) 💎 Century Club (43) 🗃️ Keyword Collector (191) ❓ 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

Qinghua Hu (36) Qilong Wang (11) Bing Cao (10) Changqing Zhang (7) Yu Wang (7) Wangmeng Zuo (5) Yiming Sun (4) Wanyu Lin (3) Dongwei Ren (3) Jialu Li (3)

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