Wang, Liqiang

24 publications

ICCV 2025 Attention to Neural Plagiarism: Diffusion Models Can Plagiarize Your Copyrighted Images! Zihang Zou, Boqing Gong, Liqiang Wang

CVPR 2025 DA-VPT: Semantic-Guided Visual Prompt Tuning for Vision Transformers Li Ren, Chen Chen, Liqiang Wang, Kien Hua

MLJ 2024 Efficient Zeroth-Order Proximal Stochastic Method for Nonconvex Nonsmooth Black-Box Problems Ehsan Kazemi, Liqiang Wang

ICLR 2024 Learning Semantic Proxies from Visual Prompts for Parameter-Efficient Fine-Tuning in Deep Metric Learning Li Ren, Chen Chen, Liqiang Wang, Kien A. Hua

AAAI 2024 Towards Improved Proxy-Based Deep Metric Learning via Data-Augmented Domain Adaptation Li Ren, Chen Chen, Liqiang Wang, Kien A. Hua

CVPR 2023 On Calibrating Semantic Segmentation Models: Analyses and an Algorithm Dongdong Wang, Boqing Gong, Liqiang Wang

ECCV 2022 Anti-Neuron Watermarking: Protecting Personal Data Against Unauthorized Neural Networks Zihang Zou, Boqing Gong, Liqiang Wang

AAAI 2022 CTIN: Robust Contextual Transformer Network for Inertial Navigation Bingbing Rao, Ehsan Kazemi, Yifan Ding, Devu M. Shila, Frank M. Tucker, Liqiang Wang

WACV 2022 Multi-Stream Dynamic Video Summarization Mohamed Elfeki, Liqiang Wang, Ali Borji

ICCV 2021 A Lazy Approach to Long-Horizon Gradient-Based Meta-Learning Muhammad Abdullah Jamal, Liqiang Wang, Boqing Gong

WACV 2021 Analyzing Deep Neural Network's Transferability via Frechet Distance Yifan Ding, Liqiang Wang, Boqing Gong

AAAI 2021 Deep Epidemiological Modeling by Black-Box Knowledge Distillation: An Accurate Deep Learning Model for COVID-19 Dongdong Wang, Shunpu Zhang, Liqiang Wang

CVPR 2021 Ranking Neural Checkpoints Yandong Li, Xuhui Jia, Ruoxin Sang, Yukun Zhu, Bradley Green, Liqiang Wang, Boqing Gong

AAAI 2020 AdaFilter: Adaptive Filter Fine-Tuning for Deep Transfer Learning Yunhui Guo, Yandong Li, Liqiang Wang, Tajana Rosing

ICLR 2020 Attacking Lifelong Learning Models with Gradient Reversion Yunhui Guo, Mingrui Liu, Yandong Li, Liqiang Wang, Tianbao Yang, Tajana Rosing

ECCV 2020 Improving Object Detection with Selective Self-Supervised Self-Training Yandong Li, Di Huang, Danfeng Qin, Liqiang Wang, Boqing Gong

AAAI 2019 Asynchronous Delay-Aware Accelerated Proximal Coordinate Descent for Nonconvex Nonsmooth Problems Ehsan Kazemi, Liqiang Wang

CVPRW 2019 Defending Against Adversarial Attacks Using Random Forest Yifan Ding, Liqiang Wang, Huan Zhang, Jinfeng Yi, Deliang Fan, Boqing Gong

AAAI 2019 Depthwise Convolution Is All You Need for Learning Multiple Visual Domains Yunhui Guo, Yandong Li, Liqiang Wang, Tajana Rosing

AAAI 2019 Learning to Adaptively Scale Recurrent Neural Networks Hao Hu, Liqiang Wang, Guo-Jun Qi

ICML 2019 NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks Yandong Li, Lijun Li, Liqiang Wang, Tong Zhang, Boqing Gong

WACV 2018 A Semi-Supervised Two-Stage Approach to Learning from Noisy Labels Yifan Ding, Liqiang Wang, Deliang Fan, Boqing Gong

ECCV 2018 How Local Is the Local Diversity? Reinforcing Sequential Determinantal Point Processes with Dynamic Ground Sets for Supervised Video Summarization Yandong Li, Liqiang Wang, Tianbao Yang, Boqing Gong

ICLR 2018 Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect Xiang Wei, Boqing Gong, Zixia Liu, Wei Lu, Liqiang Wang