← Authors

Liqiang Wang

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

Achievements

🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (7) πŸƒ Academic Marathon (7) 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (69) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🀝 Dynamic Duo (12) ❓ The Questioner ⚑ Prolific Year (5) πŸš€ Conference Pioneer πŸ’Ž Century Club (24) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (115) πŸ”₯ 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