Liqiang Wang

24 papers · 2018–2025 · 7 conferences · across top CS/AI conferences

Achievements

+11 more ↓

🌉 Interdisciplinary Bridge 🌈 Renaissance Researcher (7) 🏃 Academic Marathon (7) 🌍 Conference Polyglot (7) 🗺️ Taxonomy Completionist (69)

🗺️ Taxonomy Completionist (69) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🤝 Dynamic Duo (12) ❓ The Questioner ⚡ Prolific Year (5) 🚀 Conference Pioneer 💎 Century Club (24) 📈 Trend Setter 🗃️ Keyword Collector (115) 🔥 Unstoppable (8)

Conferences

AAAI (7) CVPR (7) ECCV (3) ICCV (2) ICLR (2) WACV (2) ICML (1)

Top co-authors

Boqing Gong (12) Yandong Li (8) Chen Chen (3) Li Ren (3) Dongdong Wang (3) Kien Hua (2) Guo-Jun Qi (2) Yunhui Guo (2) Tajana Rosing (2) Muhammad Abdullah Jamal (2)

Research topics

Computer Vision (1) Privacy (1) Core AI (1)

Keywords

transfer learning (4) domain adaptation (3) neural network (2) convolutional neural network (2) knowledge distillation (2) adversarial attack (2) deep neural network (2) semantic segmentation (1) image classification (1) active learning (1) few-shot learning (1) image generation (1) nonconvex optimization (1) multi-task learning (1) vision transformer (1) sequence modeling (1) image retrieval (1) embedding space (1) gradient-based optimization (1) adversarial learning (1)

Papers

Attention to Neural Plagiarism: Diffusion Models Can Plagiarize Your Copyrighted Images! ICCV 2025 DA-VPT: Semantic-Guided Visual Prompt Tuning for Vision Transformers CVPR 2025 Learning Semantic Proxies from Visual Prompts for Parameter-Efficient Fine-Tuning in Deep Metric Learning ICLR 2024 Towards Improved Proxy-Based Deep Metric Learning via Data-Augmented Domain Adaptation AAAI 2024 On Calibrating Semantic Segmentation Models: Analyses and an Algorithm CVPR 2023 Multi-Stream Dynamic Video Summarization WACV 2022 CTIN: Robust Contextual Transformer Network for Inertial Navigation AAAI 2022 Anti-Neuron Watermarking: Protecting Personal Data against Unauthorized Neural Networks ECCV 2022 A Lazy Approach to Long-Horizon Gradient-Based Meta-Learning ICCV 2021 Analyzing Deep Neural Network's Transferability via Frechet Distance WACV 2021 Ranking Neural Checkpoints CVPR 2021 Deep Epidemiological Modeling by Black-box Knowledge Distillation: An Accurate Deep Learning Model for COVID-19 AAAI 2021 Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition From a Domain Adaptation Perspective CVPR 2020 AdaFilter: Adaptive Filter Fine-Tuning for Deep Transfer Learning AAAI 2020 BachGAN: High-Resolution Image Synthesis From Salient Object Layout CVPR 2020 Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation From a Blackbox Model CVPR 2020 Improving Object Detection with Selective Self-Supervised Self-Training ECCV 2020 AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations Rather Than Data CVPR 2019 Asynchronous Delay-Aware Accelerated Proximal Coordinate Descent for Nonconvex Nonsmooth Problems AAAI 2019 Depthwise Convolution Is All You Need for Learning Multiple Visual Domains AAAI 2019 Learning to Adaptively Scale Recurrent Neural Networks AAAI 2019 NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks ICML 2019 Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect ICLR 2018 How Local is the Local Diversity? Reinforcing Sequential Determinantal Point Processes with Dynamic Ground Sets for Supervised Video Summarization ECCV 2018