Liqiang Wang
24 papers · 2018–2025 · 7 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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πΊοΈ Taxonomy Completionist (62) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π€
Dynamic Duo
(12)
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Trend Setter
ποΈ
Keyword Collector
(119)
π
Conference Pioneer
π₯
Unstoppable Β· Bronze
β
The Questioner
β‘
Prolific Year Β· Productive
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Century Club Β· Bronze
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Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(20)
Deep Learning
(15)
Learning Types Β· Machine Learning
(11)
Learning Types Β· Deep Learning
(10)
Artificial Intelligence
(8)
Computer Vision
(8)
Application Areas
(8)
Core Methods
(8)
Architectures
(6)
Learning Paradigms
(5)
Analysis
(4)
Models
(4)
Optimization & Theory
(4)
Core AI Β· Computer Vision
(3)
Core AI Β· Artificial Intelligence
(3)
Keywords
transfer learning
(4)
domain adaptation
(3)
adversarial attack
(2)
deep metric learning
(2)
knowledge distillation
(2)
image generation
(2)
parameter-efficient fine-tuning
(2)
deep neural network
(2)
neural network
(2)
vision transformer
(2)
convolutional neural network
(2)
semantic segmentation
(1)
few-shot learning
(1)
non-convex optimization
(1)
multi-task learning
(1)
image classification
(1)
active learning
(1)
image retrieval
(1)
semi-supervised learning
(1)
sequence modeling
(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
Anti-Neuron Watermarking: Protecting Personal Data against Unauthorized Neural Networks
ECCV 2022
CTIN: Robust Contextual Transformer Network for Inertial Navigation
AAAI 2022
Multi-Stream Dynamic Video Summarization
WACV 2022
A Lazy Approach to Long-Horizon Gradient-Based Meta-Learning
ICCV 2021
Analyzing Deep Neural Network's Transferability via Frechet Distance
WACV 2021
Deep Epidemiological Modeling by Black-box Knowledge Distillation: An Accurate Deep Learning Model for COVID-19
AAAI 2021
Ranking Neural Checkpoints
CVPR 2021
AdaFilter: Adaptive Filter Fine-Tuning for Deep Transfer Learning
AAAI 2020
BachGAN: High-Resolution Image Synthesis From Salient Object Layout
CVPR 2020
Improving Object Detection with Selective Self-Supervised Self-Training
ECCV 2020
Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation From a Blackbox Model
CVPR 2020
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition From a Domain Adaptation Perspective
CVPR 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
How Local is the Local Diversity? Reinforcing Sequential Determinantal Point Processes with Dynamic Ground Sets for Supervised Video Summarization
ECCV 2018
Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect
ICLR 2018