Shanshan Zhao

24 papers · 2017–2026 · 8 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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🗺️ Taxonomy Completionist (46) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird

🤝 Dynamic Duo (13) 🧬 Topic Evolution 🌈 Renaissance Researcher (7) 🔥 Unstoppable · Bronze ⚡ Prolific Year · Productive 💎 Century Club · Bronze 🗃️ Keyword Collector (118)

Venues

CVPR (6) AAAI (4) IJCAI (4) NeurIPS (4) ECCV (2) ICCV (2) ACL (1) ICML (1)

Top co-authors

Dacheng Tao (13) Mingming Gong (6) Jing Zhang (6) Lunhao Duan (5) Yiyang Chen (2) Bo Du (2) Zhe Chen (2) Juhua Liu (2) Kaifu Zhang (2) Huan Fu (2)

Research topics

Computer Vision (16) Machine Learning (14) Analysis (11) Deep Learning (9) Application Areas (8) Learning Types · Machine Learning (7) Learning Types · Deep Learning (5) Processing (5) Architectures (4) Domain-Specific (4) Artificial Intelligence (3) Core AI (3) Core Methods (3) Models (3) Mathematics & Optimization (2)

Keywords

convolutional neural network (3) domain generalization (3) point cloud (3) image generation (2) multimodal learning (2) domain adaptation (2) epipolar geometry (2) scene text detection (2) entropy regularization (2) domain invariance (2) representation learning (2) 3d vision (2) diffusion model (2) self-supervised learning (1) few-shot learning (1) neural network security (1) adversarial learning (1) transformer architecture (1) risk management (1) document understanding (1)

Papers

Scaling Beyond Context: A Survey of Multimodal Retrieval-Augmented Generation for Document Understanding ACL 2026 Harnessing Text-to-Image Diffusion Models for Point Cloud Self-Supervised Learning ICCV 2025 Strategic A/B testing via Maximum Probability-driven Two-armed Bandit ICML 2025 UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation CVPR 2025 Local-consistent Transformation Learning for Rotation-invariant Point Cloud Analysis CVPR 2024 Responsible Bandit Learning via Privacy-Protected Mean-Volatility Utility AAAI 2024 SimDistill: Simulated Multi-Modal Distillation for BEV 3D Object Detection AAAI 2024 UniMix: Towards Domain Adaptive and Generalizable LiDAR Semantic Segmentation in Adverse Weather CVPR 2024 All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation NeurIPS 2023 ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding NeurIPS 2023 Cross-Domain Facial Expression Recognition via Disentangling Identity Representation IJCAI 2023 DeepSolo: Let Transformer Decoder With Explicit Points Solo for Text Spotting CVPR 2023 Domain Re-Modulation for Few-Shot Generative Domain Adaptation NeurIPS 2023 DPText-DETR: Towards Better Scene Text Detection with Dynamic Points in Transformer AAAI 2023 Hierarchical Point-based Active Learning for Semi-supervised Point Cloud Semantic Segmentation ICCV 2023 Video-Audio Domain Generalization via Confounder Disentanglement AAAI 2023 FIBA: Frequency-Injection Based Backdoor Attack in Medical Image Analysis CVPR 2022 Iterative Geometry-Aware Cross Guidance Network for Stereo Image Inpainting IJCAI 2022 MeshMAE: Masked Autoencoders for 3D Mesh Data Analysis ECCV 2022 Domain Generalization via Entropy Regularization NeurIPS 2020 Short-Term and Long-Term Context Aggregation Network for Video Inpainting ECCV 2020 Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation CVPR 2019 Deep Optical Flow Estimation Via Multi-Scale Correspondence Structure Learning IJCAI 2017 Group-wise Deep Co-saliency Detection IJCAI 2017