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Liangqiong Qu

18 papers · 2017–2026 · 5 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+7 more ↓ πŸ—ΊοΈ Taxonomy Completionist (42) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🧬 Topic Evolution 🌈 Renaissance Researcher (5) πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Productive πŸš€ Conference Pioneer πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (96)

Venues

CVPR (8) AAAI (5) EMNLP (2) MICCAI (2) ICLR (1)

Top co-authors

Yuyin Zhou (6) Xiaodan Zhang (4) Huijie Fan (4) Feifei Wang (4) Shuang Zeng (4) Yanzhao Shi (3) Jiawei Liu (3) Pengxin Guo (3) Junzhong Ji (3) Yandong Tang (3)

Research topics

Deep Learning (11) Artificial Intelligence (10) Computer Vision (7) Machine Learning (7) Core AI (7) Architectures (6) Application Areas (5) Learning Types (5) Learning Paradigms (4) Analysis (3) Models (3) Processing (3) Healthcare & Medicine (2) Clinical (2) Domain-Specific (2)

Keywords

federated learning (4) brain ct (2) graph neural network (2) diffusion model (2) image restoration (2) data heterogeneity (2) medical report generation (2) large language model (2) contrastive learning (1) action recognition (1) representation learning (1) temporal modeling (1) image generation (1) transfer learning (1) differential privacy (1) few-shot learning (1) text generation (1) semi-supervised learning (1) transformer architecture (1) prompt engineering (1)

Papers

Decoupled Residual Denoising Diffusion Models for Unified and Data Efficient Image-to-Image Translation CVPR 2026 HyperGait: Unleashing the Power of Parsing for Gait Recognition in the Wild via Hypergraph CVPR 2026 STUR3D: Spatio-Temporal Unified Representation Learning for 3D Object Detection CVPR 2026 StyleTailor: Towards Personalized Fashion Styling via Hierarchical Negative Feedback AAAI 2026 Unleashing the Potential of Large Language Models for Text-to-Image Generation Through Autoregressive Representation Alignment AAAI 2026 A New Federated Learning Framework Against Gradient Inversion Attacks AAAI 2025 MEPNet: Medical Entity-Balanced Prompting Network for Brain CT Report Generation AAAI 2025 Region-Based Text-Consistent Augmentation for Multimodal Medical Segmentation MICCAI 2025 Selective Aggregation for Low-Rank Adaptation in Federated Learning ICLR 2025 Exploring Self- and Cross-Triplet Correlations for Human-Object Interaction Detection AAAI 2024 FLHetBench: Benchmarking Device and State Heterogeneity in Federated Learning CVPR 2024 Residual Denoising Diffusion Models CVPR 2024 See Detail Say Clear: Towards Brain CT Report Generation via Pathological Clue-driven Representation Learning EMNLP 2024 Tackling Data Heterogeneity in Federated Learning via Loss Decomposition MICCAI 2024 Unleashing the Potential of SAM for Medical Adaptation via Hierarchical Decoding CVPR 2024 Granularity Matters: Pathological Graph-driven Cross-modal Alignment for Brain CT Report Generation EMNLP 2023 Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning CVPR 2022 DeshadowNet: A Multi-Context Embedding Deep Network for Shadow Removal CVPR 2017