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Rapid Assessments of Light-Duty Gasoline Vehicle Emissions Using On-Road Remote Sensing and Machine Learning


Oct 01, 2021
Yan Xia, Linhui Jiang, Lu Wang, Xue Chen, Jianjie Ye, Tangyan Hou, Liqiang Wang, Yibo Zhang, Mengying Li, Zhen Li, Zhe Song, Yaping Jiang, Weiping Liu, Pengfei Li, Daniel Rosenfeld, John H. Seinfeld, Shaocai Yu


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Anti-Neuron Watermarking: Protecting Personal Data Against Unauthorized Neural Model Training


Sep 18, 2021
Zihang Zou, Boqing Gong, Liqiang Wang


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Deep Epidemiological Modeling by Black-box Knowledge Distillation: An Accurate Deep Learning Model for COVID-19


Jan 20, 2021
Dongdong Wang, Shunpu Zhang, Liqiang Wang

* Accepted by AAAI-21/IAAI-21, 7 pages, 2 figures 

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Ranking Neural Checkpoints


Nov 23, 2020
Yandong Li, Xuhui Jia, Ruoxin Sang, Yukun Zhu, Bradley Green, Liqiang Wang, Boqing Gong


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Cross-Domain Learning for Classifying Propaganda in Online Contents


Nov 22, 2020
Liqiang Wang, Xiaoyu Shen, Gerard de Melo, Gerhard Weikum

* TTO 2020 

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Cross-Domain Learning forClassifying Propaganda in Online Contents


Nov 13, 2020
Liqiang Wang, Xiaoyu Shen, Gerard de Melo, Gerhard Weikum

* TTO 2020 

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Improving Object Detection with Selective Self-supervised Self-training


Jul 24, 2020
Yandong Li, Di Huang, Danfeng Qin, Liqiang Wang, Boqing Gong

* Accepted to ECCV 2020 

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Trace-Norm Adversarial Examples


Jul 02, 2020
Ehsan Kazemi, Thomas Kerdreux, Liqiang Wang


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Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation from a Blackbox Model


Mar 31, 2020
Dongdong Wang, Yandong Li, Liqiang Wang, Boqing Gong

* Accepted to CVPR 2020 

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BachGAN: High-Resolution Image Synthesis from Salient Object Layout


Mar 27, 2020
Yandong Li, Yu Cheng, Zhe Gan, Licheng Yu, Liqiang Wang, Jingjing Liu

* Accepted to CVPR 2020 

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Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective


Mar 24, 2020
Muhammad Abdullah Jamal, Matthew Brown, Ming-Hsuan Yang, Liqiang Wang, Boqing Gong

* Accepted for publication at CVPR2020 

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Self-supervised learning for audio-visual speaker diarization


Feb 13, 2020
Yifan Ding, Yong Xu, Shi-Xiong Zhang, Yahuan Cong, Liqiang Wang


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AdaFilter: Adaptive Filter Fine-tuning for Deep Transfer Learning


Dec 09, 2019
Yunhui Guo, Yandong Li, Liqiang Wang, Tajana Rosing


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Defending Against Adversarial Attacks Using Random Forests


Jun 16, 2019
Yifan Ding, Liqiang Wang, Huan Zhang, Jinfeng Yi, Deliang Fan, Boqing Gong


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Robust Sparse Regularization: Simultaneously Optimizing Neural Network Robustness and Compactness


May 30, 2019
Adnan Siraj Rakin, Zhezhi He, Li Yang, Yanzhi Wang, Liqiang Wang, Deliang Fan


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NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks


May 13, 2019
Yandong Li, Lijun Li, Liqiang Wang, Tong Zhang, Boqing Gong


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Frame-Recurrent Video Inpainting by Robust Optical Flow Inference


May 08, 2019
Yifan Ding, Chuan Wang, Haibin Huang, Jiaming Liu, Jue Wang, Liqiang Wang


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Depthwise Convolution is All You Need for Learning Multiple Visual Domains


Feb 19, 2019
Yunhui Guo, Yandong Li, Rogerio Feris, Liqiang Wang, Tajana Rosing


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Learning to Adaptively Scale Recurrent Neural Networks


Feb 15, 2019
Hao Hu, Liqiang Wang, Guo-Jun Qi


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Asynchronous Delay-Aware Accelerated Proximal Coordinate Descent for Nonconvex Nonsmooth Problems


Feb 05, 2019
Ehsan Kazemi, Liqiang Wang


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AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations rather than Data


Jan 14, 2019
Liheng Zhang, Guo-Jun Qi, Liqiang Wang, Jiebo Luo


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A Proximal Zeroth-Order Algorithm for Nonconvex Nonsmooth Problems


Oct 17, 2018
Ehsan Kazemi, Liqiang Wang


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How Local is the Local Diversity? Reinforcing Sequential Determinantal Point Processes with Dynamic Ground Sets for Supervised Video Summarization


Aug 24, 2018
Yandong Li, Liqiang Wang, Tianbao Yang, Boqing Gong

* European Conference on Computer Vision (ECCV 2018) 

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A Semi-Supervised Two-Stage Approach to Learning from Noisy Labels


Mar 21, 2018
Yifan Ding, Liqiang Wang, Deliang Fan, Boqing Gong

* IEEE Winter Conf. on Applications of Computer Vision 2018 

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Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect


Mar 05, 2018
Xiang Wei, Boqing Gong, Zixia Liu, Wei Lu, Liqiang Wang

* Accepted as a conference paper in International Conference on Learning Representation(ICLR). Xiang Wei and Boqing Gong contributed equally in this work 

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