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Jie Wen

43 papers · 2019–2026 · 6 conferences · across top CS/AI conferences

Achievements

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+10 more ↓ πŸƒ Academic Marathon (6) 🌍 Conference Polyglot (6) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (7)
🐝 Cross-Pollinator (7) 🌈 Renaissance Researcher (9) πŸ—ΊοΈ Taxonomy Completionist (62) 🏠 Conference Loyalist (20) πŸ† Keyword Champion (10) 🀝 Dynamic Duo (16) πŸš€ Conference Pioneer ⚑ Prolific Year (6) πŸ’Ž Century Club (39) πŸ—ƒοΈ Keyword Collector (169)

Conferences

AAAI (20) ICML (8) IJCAI (8) CVPR (3) ICCV (2) NIPS (2)

Top co-authors

Chengliang Liu (17) Yong Xu (16) Chao Huang (16) Lunke Fei (9) Xiaoling Luo (8) Wei Wang (7) Bob Zhang (6) Waikeung Wong (5) zhihao wu (5) Yabo Liu (5)

Research topics

Optimization (1)

Keywords

multi-view learning (10) multi-view clustering (7) representation learning (6) multi-label classification (5) incomplete multi-view (5) contrastive learning (3) medical imaging (3) consensus graph (3) multi-label learning (3) diffusion model (3) tensor decomposition (2) few-shot learning (2) video anomaly detection (2) medical image segmentation (2) weakly supervised learning (2) prompt engineering (2) graph learning (2) style transfer (2) optimal transport (2) domain adaptation (2)

Papers

Detecting Fake News in Short Videos Through Multi-View Aggregation AAAI 2026 Quality-aware and Soft Consistency Driven Representation Fusion for Incomplete Multi-view Multi-label Classification AAAI 2026 Prototype-Based Semantic Consistency Alignment for Domain Adaptive Retrieval AAAI 2026 Incomplete Multi-view Diabetic Retinopathy Grading via Self-Supervised Inter- and Intra-View Restoration AAAI 2026 High-Confident Local Structure Guided Consensus Graph Learning For Incomplete Multi-view Clustering IJCAI 2025 DiffusionREC: Diffusion Model with Adaptive Condition for Referring Expression Comprehension AAAI 2025 Lightweight Contrastive Distilled Hashing for Online Cross-modal Retrieval AAAI 2025 Deep Hierarchies and Invariant Disease-Indicative Feature Learning for Computer Aided Diagnosis of Multiple Fundus Diseases AAAI 2025 Multi-view Evidential Learning-based Medical Image Segmentation AAAI 2025 Federated Weakly Supervised Video Anomaly Detection with Multimodal Prompt AAAI 2025 ALRMR-GEC: Adjusting Learning Rate Based on Memory Rate to Optimize the Edit Scorer for Grammatical Error Correction AAAI 2025 Incomplete Multi-View Multi-label Learning via Disentangled Representation and Label Semantic Embedding CVPR 2025 Weakly Supervised Visible-Infrared Person Re-Identification via Heterogeneous Expert Collaborative Consistency Learning ICCV 2025 FontAnimate: High Quality Few-shot Font Generation via Animating Font Transfer Process ICCV 2025 Federated Incomplete Multi-view Clustering with Globally Fused Graph Guidance ICML 2025 Ex-VAD: Explainable Fine-grained Video Anomaly Detection Based on Visual-Language Models ICML 2025 Learning Compact Semantic Information for Incomplete Multi-View Missing Multi-Label Classification ICML 2025 Efficient and Separate Authentication Image Steganography Network ICML 2025 Towards VLM-based Hybrid Explainable Prompt Enhancement for Zero-Shot Industrial Anomaly Detection IJCAI 2025 Omni-Dimensional State Space Model-driven SAM for Pixel-level Anomaly Detection IJCAI 2025 Deep Opinion-Unaware Blind Image Quality Assessment by Learning and Adapting from Multiple Annotators IJCAI 2025 AdaptPFL: Unlocking Cross-Device Palmprint Recognition via Adaptive Personalized Federated Learning with Feature Decoupling IJCAI 2025 Enhancing Multimodal Protein Function Prediction Through Dual-Branch Dynamic Selection with Reconstructive Pre-Training IJCAI 2025 Optimal Transport-based Labor-free Text Prompt Modeling for Sketch Re-identification NIPS 2024 Partial Multi-View Multi-Label Classification via Semantic Invariance Learning and Prototype Modeling ICML 2024 HACDR-Net: Heterogeneous-Aware Convolutional Network for Diabetic Retinopathy Multi-Lesion Segmentation AAAI 2024 Attention-Induced Embedding Imputation for Incomplete Multi-View Partial Multi-Label Classification AAAI 2024 A Two-Stage Information Extraction Network for Incomplete Multi-View Multi-Label Classification AAAI 2024 Deep Variational Incomplete Multi-View Clustering: Exploring Shared Clustering Structures AAAI 2024 Batch Singular Value Polarization and Weighted Semantic Augmentation for Universal Domain Adaptation ICML 2024 Diffusion-based Missing-view Generation With the Application on Incomplete Multi-view Clustering ICML 2024 Generate Like Experts: Multi-Stage Font Generation by Incorporating Font Transfer Process into Diffusion Models CVPR 2024 Long Short-Term Dynamic Prototype Alignment Learning for Video Anomaly Detection IJCAI 2024 Language-Driven Cross-Modal Classifier for Zero-Shot Multi-Label Image Recognition ICML 2024 Masked Two-channel Decoupling Framework for Incomplete Multi-view Weak Multi-label Learning NIPS 2023 MVCINN: Multi-View Diabetic Retinopathy Detection Using a Deep Cross-Interaction Neural Network AAAI 2023 Tensorized Incomplete Multi-View Clustering with Intrinsic Graph Completion AAAI 2023 DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View Multi-Label Classification AAAI 2023 Incomplete Multi-View Multi-Label Learning via Label-Guided Masked View- and Category-Aware Transformers AAAI 2023 Highly Confident Local Structure Based Consensus Graph Learning for Incomplete Multi-View Clustering CVPR 2023 Unified Tensor Framework for Incomplete Multi-view Clustering and Missing-view Inferring AAAI 2021 CDIMC-net: Cognitive Deep Incomplete Multi-view Clustering Network IJCAI 2020 Unified Embedding Alignment with Missing Views Inferring for Incomplete Multi-View Clustering AAAI 2019