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Feng Liu

State Key Laboratory of the Control and Simulation of Power Systems and Generation Equipment, Tsinghua University

Learning Sparse and Continuous Graph Structures for Multivariate Time Series Forecasting


Jan 24, 2022
Weijun Chen, Yanze Wang, Chengshuo Du, Zhenglong Jia, Feng Liu, Ran Chen

* 8 pages, in submission to IJCAI 2022 

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The State of Aerial Surveillance: A Survey


Jan 13, 2022
Kien Nguyen, Clinton Fookes, Sridha Sridharan, Yingli Tian, Feng Liu, Xiaoming Liu, Arun Ross


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LMR-CBT: Learning Modality-fused Representations with CB-Transformer for Multimodal Emotion Recognition from Unaligned Multimodal Sequences


Dec 03, 2021
Ziwang Fu, Feng Liu, Hanyang Wang, Siyuan Shen, Jiahao Zhang, Jiayin Qi, Xiangling Fu, Aimin Zhou

* 9 pages ,Figure 2, Table 5 

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Achieving an Accurate Random Process Model for PV Power using Cheap Data: Leveraging the SDE and Public Weather Reports


Nov 27, 2021
Yiwei Qiu, Jin Lin, Zhipeng Zhou, Ningyi Dai, Feng Liu, Yonghua Song


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Face Presentation Attack Detection using Taskonomy Feature


Nov 22, 2021
Wentian Zhang, Haozhe Liu, Raghavendra Ramachandra, Feng Liu, Linlin Shen, Christoph Busch


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Instant tissue field and magnetic susceptibility mapping from MR raw phase using Laplacian enabled deep neural networks


Nov 16, 2021
Yang Gao, Zhuang Xiong, Amir Fazlollahi, Peter J Nestor, Viktor Vegh, Fatima Nasrallah, Craig Winter, G. Bruce Pike, Stuart Crozier, Feng Liu, Hongfu Sun


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Fingerprint Presentation Attack Detection by Channel-wise Feature Denoising


Nov 15, 2021
Feng Liu, Zhe Kong, Haozhe Liu, Wentian Zhang, Linlin Shen


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Voxel-based 3D Detection and Reconstruction of Multiple Objects from a Single Image


Nov 04, 2021
Feng Liu, Xiaoming Liu

* NeurIPS 2021 

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A cross-modal fusion network based on self-attention and residual structure for multimodal emotion recognition


Nov 03, 2021
Ziwang Fu, Feng Liu, Hanyang Wang, Jiayin Qi, Xiangling Fu, Aimin Zhou, Zhibin Li

* 5 pages, 1 figure, 2 tables 

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EvoGAN: An Evolutionary Computation Assisted GAN


Oct 22, 2021
Feng Liu, HanYang Wang, Jiahao Zhang, Ziwang Fu, Aimin Zhou, Jiayin Qi, Zhibin Li

* 20 pages, 9 figures, 1 table 

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Manifold-preserved GANs


Sep 18, 2021
Haozhe Liu, Hanbang Liang, Xianxu Hou, Haoqian Wu, Feng Liu, Linlin Shen


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Taming Self-Supervised Learning for Presentation Attack Detection: In-Image De-Folding and Out-of-Image De-Mixing


Sep 09, 2021
Haozhe Liu, Zhe Kong, Raghavendra Ramachandra, Feng Liu, Linlin Shen, Christoph Busch


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Deep 3D Mask Volume for View Synthesis of Dynamic Scenes


Aug 30, 2021
Kai-En Lin, Lei Xiao, Feng Liu, Guowei Yang, Ravi Ramamoorthi

* Published at ICCV 2021. Code and dataset available at: https://cseweb.ucsd.edu//~viscomp/projects/ICCV21Deep/ 

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Escaping the Gradient Vanishing: Periodic Alternatives of Softmax in Attention Mechanism


Aug 16, 2021
Shulun Wang, Bin Liu, Feng Liu

* 18 pages, 16 figures 

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Learning Bounds for Open-Set Learning


Jun 30, 2021
Zhen Fang, Jie Lu, Anjin Liu, Feng Liu, Guangquan Zhang

* Open-set Learning, Open-set Recognition, Machine Learning Theory 

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Local Reweighting for Adversarial Training


Jun 30, 2021
Ruize Gao, Feng Liu, Kaiwen Zhou, Gang Niu, Bo Han, James Cheng


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Balancing Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning


Jun 25, 2021
Weiwen Liu, Feng Liu, Ruiming Tang, Ben Liao, Guangyong Chen, Pheng Ann Heng


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Fast Monte Carlo Rendering via Multi-Resolution Sampling


Jun 24, 2021
Qiqi Hou, Zhan Li, Carl S Marshall, Selvakumar Panneer, Feng Liu

* Graphic Interface 2021 

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Probabilistic Margins for Instance Reweighting in Adversarial Training


Jun 15, 2021
Qizhou Wang, Feng Liu, Bo Han, Tongliang Liu, Chen Gong, Gang Niu, Mingyuan Zhou, Masashi Sugiyama

* 17 pages, 4 figures 

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Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data


Jun 14, 2021
Feng Liu, Wenkai Xu, Jie Lu, Danica J. Sutherland

* Code is available from https://github.com/fengliu90/MetaTesting 

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TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation


Jun 11, 2021
Haoang Chi, Feng Liu, Wenjing Yang, Long Lan, Tongliang Liu, Bo Han, William K. Cheung, James T. Kwok


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KRADA: Known-region-aware Domain Alignment for Open World Semantic Segmentation


Jun 11, 2021
Chenhong Zhou, Feng Liu, Chen Gong, Tongliang Liu, Bo Han, William Cheung


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SDNet: mutil-branch for single image deraining using swin


May 31, 2021
Fuxiang Tan, YuTing Kong, Yingying Fan, Feng Liu, Daxin Zhou, Hao zhang, Long Chen, Liang Gao, Yurong Qian


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Fully Understanding Generic Objects: Modeling, Segmentation, and Reconstruction


Apr 02, 2021
Feng Liu, Luan Tran, Xiaoming Liu

* To appear in CVPR 2021 

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Deep Simultaneous Optimisation of Sampling and Reconstruction for Multi-contrast MRI


Mar 31, 2021
Xinwen Liu, Jing Wang, Fangfang Tang, Shekhar S. Chandra, Feng Liu, Stuart Crozier

* Presented at ISMRM 28th Annual Meeting & Exhibition (Poster #3619) 

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Group-wise Inhibition based Feature Regularization for Robust Classification


Mar 18, 2021
Haozhe Liu, Haoqian Wu, Weicheng Xie, Feng Liu, Linlin Shen


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Accelerating Quantitative Susceptibility Mapping using Compressed Sensing and Deep Neural Network


Mar 17, 2021
Yang Gao, Martijn Cloos, Feng Liu, Stuart Crozier, G. Bruce Pike, Hongfu Sun

* 10 figures 

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Beyond Max-Margin: Class Margin Equilibrium for Few-shot Object Detection


Mar 10, 2021
Bohao Li, Boyu Yang, Chang Liu, Feng Liu, Rongrong Ji, Qixiang Ye

* This paper has been modified by the author due to errors 

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Universal Undersampled MRI Reconstruction


Mar 09, 2021
Xinwen Liu, Jing Wang, Feng Liu, S. Kevin Zhou


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