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Liang Liu

Covariance-Based Joint Device Activity and Delay Detection in Asynchronous mMTC


Oct 12, 2021
Zhaorui Wang, Ya-Feng Liu, Liang Liu

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* Submitted to IEEE for possible publication 
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Efficiently and Globally Solving Joint Beamforming and Compression Problem in the Cooperative Cellular Network via Lagrangian Duality


Oct 11, 2021
Xilai Fan, Ya-Feng Liu, Liang Liu

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* 5 pages, 1 figure, submitted to IEEE ICASSP 2022 
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Detection of Abrupt Change in Channel Covariance Matrix for Multi-Antenna Communication


Sep 09, 2021
Runnan Liu, Liang Liu, Dazhi He, Wenjun Zhang, Erik G. Larsson

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* accepted by Globecom 2021 
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LuMaMi28: Real-Time Millimeter-Wave Massive MIMO Systems with Antenna Selection


Sep 07, 2021
MinKeun Chung, Liang Liu, Andreas Johansson, Sara Gunnarsson, Martin Nilsson, Zhinong Ying, Olof Zander, Kamal Samanta, Chris Clifton, Toshiyuki Koimori, Shinya Morita, Satoshi Taniguchi, Fredrik Tufvesson, Ove Edfors

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* 14 pages, 17 figures 
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Device-Free Sensing in OFDM Cellular Network


Aug 20, 2021
Qin Shi, Liang Liu, Shuowen Zhang, Shuguang Cui

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* submitted for possible IEEE publication 
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Massive MIMO Communication with Intelligent Reflecting Surface


Jul 09, 2021
Zhaorui Wang, Liang Liu, Shuowen Zhang, Shuguang Cui

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* submitted to IEEE journal for possible publication 
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A New Channel Estimation Strategy in Intelligent Reflecting Surface Assisted Networks


Jun 22, 2021
Rui Wang, Liang Liu, Shuowen Zhang, Changyuan Yu

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* submitted to Globecom 2021 
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Smoothed Multi-View Subspace Clustering


Jun 18, 2021
Peng Chen, Liang Liu, Zhengrui Ma, Zhao Kang

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* Accepted by International Conference on Neural Computing for Advanced Applications 2021 
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User Grouping and Reflective Beamforming for IRS-Aided URLLC


May 26, 2021
Hailiang Xie, Jie Xu, Ya-Feng Liu, Liang Liu, Derrick Wing Kwan Ng

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* submitted for possible journal publication 
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On Massive IoT Connectivity with Temporally-Correlated User Activity


Jan 27, 2021
Qipeng Wang, Liang Liu, Shuowen Zhang, Francis C. M. Lau

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* submitted to ISIT 2021 
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HR-Depth: High Resolution Self-Supervised Monocular Depth Estimation


Dec 14, 2020
Xiaoyang Lyu, Liang Liu, Mengmeng Wang, Xin Kong, Lina Liu, Yong Liu, Xinxin Chen, Yi Yuan

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* 9 pages, 5 figures. Accepted to 35th AAAI Conference on Artificial Intelligence (AAAI 2021) 
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DTVNet: Dynamic Time-lapse Video Generation via Single Still Image


Aug 11, 2020
Jiangning Zhang, Chao Xu, Liang Liu, Mengmeng Wang, Xia Wu, Yong Liu, Yunliang Jiang

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Weighing Counts: Sequential Crowd Counting by Reinforcement Learning


Jul 16, 2020
Liang Liu, Hao Lu, Hongwei Zou, Haipeng Xiong, Zhiguo Cao, Chunhua Shen

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* Accepted to Proc. Eur. Conf. Computer Vision (ECCV) 2020 
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A New Accelerated Stochastic Gradient Method with Momentum


May 31, 2020
Liang Liu, Xiaopeng Luo

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* 10 pages, 6 figures 
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Hierarchical and Efficient Learning for Person Re-Identification


May 18, 2020
Jiangning Zhang, Liang Liu, Chao Xu, Yong Liu

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APB2Face: Audio-guided face reenactment with auxiliary pose and blink signals


Apr 30, 2020
Jiangning Zhang, Liang Liu, Zhucun Xue, Yong Liu

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* ICASSP 2020 
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Extended Feature Pyramid Network for Small Object Detection


Apr 09, 2020
Chunfang Deng, Mengmeng Wang, Liang Liu, Yong Liu

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* With the agreement of all authors, we would like to withdraw the manuscript. For lack of some experiments, a part of important claims cannot stand solidly. We need to further carry out experiments, and reconsider the rationality of these claims 
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A Learning Framework for n-bit Quantized Neural Networks toward FPGAs


Apr 06, 2020
Jun Chen, Liang Liu, Yong Liu, Xianfang Zeng

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* IEEE Transactions on Neural Networks and Learning Systems 2020 
 * This paper has been accepted for publication in the IEEE Transactions on Neural Networks and Learning Systems 
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Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation


Mar 29, 2020
Liang Liu, Jiangning Zhang, Ruifei He, Yong Liu, Yabiao Wang, Ying Tai, Donghao Luo, Chengjie Wang, Jilin Li, Feiyue Huang

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* Accepted to CVPR 2020 
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From Open Set to Closed Set: Supervised Spatial Divide-and-Conquer for Object Counting


Jan 07, 2020
Haipeng Xiong, Hao Lu, Chengxin Liu, Liang Liu, Chunhua Shen, Zhiguo Cao

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* Extended version of arXiv:1908.06473 
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From Open Set to Closed Set: Counting Objects by Spatial Divide-and-Conquer


Aug 15, 2019
Haipeng Xiong, Hao Lu, Chengxin Liu, Liang Liu, Zhiguo Cao, Chunhua Shen

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* Accepted by ICCV2019 
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PoseConvGRU: A Monocular Approach for Visual Ego-motion Estimation by Learning


Jun 19, 2019
Guangyao Zhai, Liang Liu, Linjian Zhang, Yong Liu

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* 33 pages,12 figures 
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An efficient deep learning hashing neural network for mobile visual search


Oct 21, 2017
Heng Qi, Wu Liu, Liang Liu

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On the evolution of word usage of classical Chinese poetry


Sep 16, 2015
Liang Liu

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