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Hang Wang

23 papers · 2020–2026 · 9 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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+9 more ↓ πŸ—ΊοΈ Taxonomy Completionist (46) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🐣 Hot Topic Early Bird
πŸ† Grand Slam 🧬 Topic Evolution 🀝 Dynamic Duo (14) 🌈 Renaissance Researcher (5) πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (103)

Venues

CVPR (6) AAAI (4) ECCV (3) NeurIPS (3) ICCV (2) ICML (2) ICLR (1) IJCAI (1) NSDI (1)

Top co-authors

Bingbing Ni (14) Minghao Xu (4) Xuanhong Chen (4) Xiaohang Wang (3) Wenjun Zhang (3) Junshan Zhang (3) Shibin Mei (3) Yutian Liu (2) Sen Lin (2) Zhengyan Tong (2)

Research topics

Deep Learning (12) Machine Learning (12) Computer Vision (9) Architectures (6) Learning Types Β· Deep Learning (6) Analysis (5) Core Methods (5) Learning Types Β· Machine Learning (5) Processing (5) Artificial Intelligence (4) Application Areas (4) Reinforcement Learning (3) Core AI (3) Methods (3) Generation (2)

Keywords

reinforcement learning (3) representation learning (2) prototype learning (2) contrastive learning (2) image classification (2) image restoration (2) image super-resolution (2) self-supervised learning (2) depth map super-resolution (2) graph neural network (2) function approximation (2) unsupervised learning (2) domain adaptation (1) manifold learning (1) online learning (1) self-attention mechanism (1) zero-shot learning (1) action recognition (1) object detection (1) few-shot learning (1)

Papers

QRShield: Exploiting Vulnerabilities of Latent Diffusion Models for Preventing AI Art Plagiarism AAAI 2026 Semantic Derivative Flow: Graph-Guided Diffusion for Controllable Instance Interactions CVPR 2026 AdaWM: Adaptive World Model based Planning for Autonomous Driving ICLR 2025 GeoMM: On Geodesic Perspective for Multi-modal Learning CVPR 2025 Breaking Semantic Artifacts for Generalized AI-generated Image Detection NeurIPS 2024 Intrinsic Phase-Preserving Networks for Depth Super Resolution AAAI 2024 Object-Oriented Anchoring and Modal Alignment in Multimodal Learning ECCV 2024 Resiliency at Scale: Managing Google’s TPUv4 Machine Learning Supercomputer NSDI 2024 Speech-Forensics: Towards Comprehensive Synthetic Speech Dataset Establishment and Analysis IJCAI 2024 Deep Arbitrary-Scale Image Super-Resolution via Scale-Equivariance Pursuit CVPR 2023 Learning Continuous Depth Representation via Geometric Spatial Aggregator AAAI 2023 Meta-Adapter: An Online Few-shot Learner for Vision-Language Model NeurIPS 2023 Omni Aggregation Networks for Lightweight Image Super-Resolution CVPR 2023 Warm-Start Actor-Critic: From Approximation Error to Sub-optimality Gap ICML 2023 Cross-Species 3D Face Morphing via Alignment-Aware Controller AAAI 2022 PAC-Net: Highlight Your Video via History Preference Modeling ECCV 2022 3D Human Action Representation Learning via Cross-View Consistency Pursuit CVPR 2021 Adaptive Ensemble Q-learning: Minimizing Estimation Bias via Error Feedback NeurIPS 2021 Cross-Category Video Highlight Detection via Set-Based Learning ICCV 2021 Self-supervised Graph-level Representation Learning with Local and Global Structure ICML 2021 Shape Self-Correction for Unsupervised Point Cloud Understanding ICCV 2021 Cross-Domain Detection via Graph-Induced Prototype Alignment CVPR 2020 Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation ECCV 2020