Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox
Picture for Yong Liu

Yong Liu

Differential Privacy for Pairwise Learning: Non-convex Analysis


May 07, 2021
Yilin Kang, Yong Liu, Jian Li, Weiping Wang

Figure 1 for Differential Privacy for Pairwise Learning: Non-convex Analysis
Figure 2 for Differential Privacy for Pairwise Learning: Non-convex Analysis
* 11 pages 
  Access Paper or Ask Questions

Realtime Mobile Bandwidth and Handoff Predictions in 4G/5G Networks


Apr 27, 2021
Lifan Mei, Jinrui Gou, Yujin Cai, Houwei Cao, Yong Liu

Figure 1 for Realtime Mobile Bandwidth and Handoff Predictions in 4G/5G Networks
Figure 2 for Realtime Mobile Bandwidth and Handoff Predictions in 4G/5G Networks
Figure 3 for Realtime Mobile Bandwidth and Handoff Predictions in 4G/5G Networks
Figure 4 for Realtime Mobile Bandwidth and Handoff Predictions in 4G/5G Networks
* 12 pages 
  Access Paper or Ask Questions

Understanding Chinese Video and Language via Contrastive Multimodal Pre-Training


Apr 19, 2021
Chenyi Lei, Shixian Luo, Yong Liu, Wanggui He, Jiamang Wang, Guoxin Wang, Haihong Tang, Chunyan Miao, Houqiang Li

Figure 1 for Understanding Chinese Video and Language via Contrastive Multimodal Pre-Training
Figure 2 for Understanding Chinese Video and Language via Contrastive Multimodal Pre-Training
Figure 3 for Understanding Chinese Video and Language via Contrastive Multimodal Pre-Training
Figure 4 for Understanding Chinese Video and Language via Contrastive Multimodal Pre-Training

  Access Paper or Ask Questions

DeepMI: Deep Multi-lead ECG Fusion for Identifying Myocardial Infarction and its Occurrence-time


Mar 31, 2021
Girmaw Abebe Tadesse, Hamza Javed, Yong Liu, Jin Liu, Jiyan Chen, Komminist Weldemariam, Tingting Zhu

Figure 1 for DeepMI: Deep Multi-lead ECG Fusion for Identifying Myocardial Infarction and its Occurrence-time
Figure 2 for DeepMI: Deep Multi-lead ECG Fusion for Identifying Myocardial Infarction and its Occurrence-time
Figure 3 for DeepMI: Deep Multi-lead ECG Fusion for Identifying Myocardial Infarction and its Occurrence-time
Figure 4 for DeepMI: Deep Multi-lead ECG Fusion for Identifying Myocardial Infarction and its Occurrence-time
* 10 pages 
  Access Paper or Ask Questions

A Quantitative Metric for Privacy Leakage in Federated Learning


Feb 24, 2021
Yong Liu, Xinghua Zhu, Jianzong Wang, Jing Xiao

Figure 1 for A Quantitative Metric for Privacy Leakage in Federated Learning
Figure 2 for A Quantitative Metric for Privacy Leakage in Federated Learning
Figure 3 for A Quantitative Metric for Privacy Leakage in Federated Learning
Figure 4 for A Quantitative Metric for Privacy Leakage in Federated Learning
* Accepted to ICASSP 2021 
  Access Paper or Ask Questions

LogME: Practical Assessment of Pre-trained Models for Transfer Learning


Feb 22, 2021
Kaichao You, Yong Liu, Mingsheng Long, Jianmin Wang

Figure 1 for LogME: Practical Assessment of Pre-trained Models for Transfer Learning
Figure 2 for LogME: Practical Assessment of Pre-trained Models for Transfer Learning
Figure 3 for LogME: Practical Assessment of Pre-trained Models for Transfer Learning
Figure 4 for LogME: Practical Assessment of Pre-trained Models for Transfer Learning
* 13 pages 
  Access Paper or Ask Questions

One-shot Face Reenactment Using Appearance Adaptive Normalization


Feb 20, 2021
Guangming Yao, Yi Yuan, Tianjia Shao, Shuang Li, Shanqi Liu, Yong Liu, Mengmeng Wang, Kun Zhou

Figure 1 for One-shot Face Reenactment Using Appearance Adaptive Normalization
Figure 2 for One-shot Face Reenactment Using Appearance Adaptive Normalization
Figure 3 for One-shot Face Reenactment Using Appearance Adaptive Normalization
Figure 4 for One-shot Face Reenactment Using Appearance Adaptive Normalization
* 9 pages, 8 figures,3 tables ,Accepted by AAAI2021 
  Access Paper or Ask Questions

Structure-aware Person Image Generation with Pose Decomposition and Semantic Correlation


Feb 05, 2021
Jilin Tang, Yi Yuan, Tianjia Shao, Yong Liu, Mengmeng Wang, Kun Zhou

Figure 1 for Structure-aware Person Image Generation with Pose Decomposition and Semantic Correlation
Figure 2 for Structure-aware Person Image Generation with Pose Decomposition and Semantic Correlation
Figure 3 for Structure-aware Person Image Generation with Pose Decomposition and Semantic Correlation
Figure 4 for Structure-aware Person Image Generation with Pose Decomposition and Semantic Correlation
* 9 pages, 8 figures 
  Access Paper or Ask Questions

Cocktail Edge Caching: Ride Dynamic Trends of Content Popularity with Ensemble Learning


Jan 14, 2021
Tongyu Zong, Chen Li, Yuanyuan Lei, Guangyu Li, Houwei Cao, Yong Liu

Figure 1 for Cocktail Edge Caching: Ride Dynamic Trends of Content Popularity with Ensemble Learning
Figure 2 for Cocktail Edge Caching: Ride Dynamic Trends of Content Popularity with Ensemble Learning
Figure 3 for Cocktail Edge Caching: Ride Dynamic Trends of Content Popularity with Ensemble Learning
Figure 4 for Cocktail Edge Caching: Ride Dynamic Trends of Content Popularity with Ensemble Learning
* INFOCOM 2021 
  Access Paper or Ask Questions

Keyword-Guided Neural Conversational Model


Dec 27, 2020
Peixiang Zhong, Yong Liu, Hao Wang, Chunyan Miao

Figure 1 for Keyword-Guided Neural Conversational Model
Figure 2 for Keyword-Guided Neural Conversational Model
Figure 3 for Keyword-Guided Neural Conversational Model
Figure 4 for Keyword-Guided Neural Conversational Model
* AAAI-2021 
  Access Paper or Ask Questions

A Hybrid Bandit Framework for Diversified Recommendation


Dec 24, 2020
Qinxu Ding, Yong Liu, Chunyan Miao, Fei Cheng, Haihong Tang

Figure 1 for A Hybrid Bandit Framework for Diversified Recommendation
Figure 2 for A Hybrid Bandit Framework for Diversified Recommendation
Figure 3 for A Hybrid Bandit Framework for Diversified Recommendation
Figure 4 for A Hybrid Bandit Framework for Diversified Recommendation
* Accepted by AAAI 2021 
  Access Paper or Ask Questions

CodeVIO: Visual-Inertial Odometry with Learned Optimizable Dense Depth


Dec 18, 2020
Xingxing Zuo, Nathaniel Merrill, Wei Li, Yong Liu, Marc Pollefeys, Guoquan Huang

Figure 1 for CodeVIO: Visual-Inertial Odometry with Learned Optimizable Dense Depth
Figure 2 for CodeVIO: Visual-Inertial Odometry with Learned Optimizable Dense Depth
Figure 3 for CodeVIO: Visual-Inertial Odometry with Learned Optimizable Dense Depth
Figure 4 for CodeVIO: Visual-Inertial Odometry with Learned Optimizable Dense Depth
* 6 Figures 
  Access Paper or Ask Questions

Spatial Context-Aware Self-Attention Model For Multi-Organ Segmentation


Dec 16, 2020
Hao Tang, Xingwei Liu, Kun Han, Shanlin Sun, Narisu Bai, Xuming Chen, Huang Qian, Yong Liu, Xiaohui Xie

Figure 1 for Spatial Context-Aware Self-Attention Model For Multi-Organ Segmentation
Figure 2 for Spatial Context-Aware Self-Attention Model For Multi-Organ Segmentation
Figure 3 for Spatial Context-Aware Self-Attention Model For Multi-Organ Segmentation
Figure 4 for Spatial Context-Aware Self-Attention Model For Multi-Organ Segmentation
* Accepted WACV 2021 
  Access Paper or Ask Questions

FlowMOT: 3D Multi-Object Tracking by Scene Flow Association


Dec 15, 2020
Guangyao Zhai, Xin Kong, Jinhao Cui, Yong Liu, Zhen Yang

Figure 1 for FlowMOT: 3D Multi-Object Tracking by Scene Flow Association
Figure 2 for FlowMOT: 3D Multi-Object Tracking by Scene Flow Association
Figure 3 for FlowMOT: 3D Multi-Object Tracking by Scene Flow Association
Figure 4 for FlowMOT: 3D Multi-Object Tracking by Scene Flow Association

  Access Paper or Ask Questions

FCFR-Net: Feature Fusion based Coarse-to-Fine Residual Learning for Monocular Depth Completion


Dec 15, 2020
Lina Liu, Xibin Song, Xiaoyang Lyu, Junwei Diao, Mengmeng Wang, Yong Liu, Liangjun Zhang

Figure 1 for FCFR-Net: Feature Fusion based Coarse-to-Fine Residual Learning for Monocular Depth Completion
Figure 2 for FCFR-Net: Feature Fusion based Coarse-to-Fine Residual Learning for Monocular Depth Completion
Figure 3 for FCFR-Net: Feature Fusion based Coarse-to-Fine Residual Learning for Monocular Depth Completion
Figure 4 for FCFR-Net: Feature Fusion based Coarse-to-Fine Residual Learning for Monocular Depth Completion
* 9 pages, 5 figures. Accepted to 35th AAAI Conference on Artificial Intelligence (AAAI 2021) 
  Access Paper or Ask Questions

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

Figure 1 for HR-Depth: High Resolution Self-Supervised Monocular Depth Estimation
Figure 2 for HR-Depth: High Resolution Self-Supervised Monocular Depth Estimation
Figure 3 for HR-Depth: High Resolution Self-Supervised Monocular Depth Estimation
Figure 4 for HR-Depth: High Resolution Self-Supervised Monocular Depth Estimation
* 9 pages, 5 figures. Accepted to 35th AAAI Conference on Artificial Intelligence (AAAI 2021) 
  Access Paper or Ask Questions

Fine Perceptive GANs for Brain MR Image Super-Resolution in Wavelet Domain


Nov 09, 2020
Senrong You, Yong Liu, Baiying Lei, Shuqiang Wang

Figure 1 for Fine Perceptive GANs for Brain MR Image Super-Resolution in Wavelet Domain
Figure 2 for Fine Perceptive GANs for Brain MR Image Super-Resolution in Wavelet Domain
Figure 3 for Fine Perceptive GANs for Brain MR Image Super-Resolution in Wavelet Domain
Figure 4 for Fine Perceptive GANs for Brain MR Image Super-Resolution in Wavelet Domain
* 9 pages, 11figures 
  Access Paper or Ask Questions

HILONet: Hierarchical Imitation Learning from Non-Aligned Observations


Nov 05, 2020
Shanqi Liu, Junjie Cao, Wenzhou Chen, Licheng Wen, Yong Liu

Figure 1 for HILONet: Hierarchical Imitation Learning from Non-Aligned Observations
Figure 2 for HILONet: Hierarchical Imitation Learning from Non-Aligned Observations
Figure 3 for HILONet: Hierarchical Imitation Learning from Non-Aligned Observations
Figure 4 for HILONet: Hierarchical Imitation Learning from Non-Aligned Observations

  Access Paper or Ask Questions

Moving Forward in Formation: A Decentralized Hierarchical Learning Approach to Multi-Agent Moving Together


Nov 04, 2020
Shanqi Liu, Licheng Wen, Jinhao Cui, Xuemeng Yang, Junjie Cao, Yong Liu

Figure 1 for Moving Forward in Formation: A Decentralized Hierarchical Learning Approach to Multi-Agent Moving Together
Figure 2 for Moving Forward in Formation: A Decentralized Hierarchical Learning Approach to Multi-Agent Moving Together
Figure 3 for Moving Forward in Formation: A Decentralized Hierarchical Learning Approach to Multi-Agent Moving Together
Figure 4 for Moving Forward in Formation: A Decentralized Hierarchical Learning Approach to Multi-Agent Moving Together

  Access Paper or Ask Questions

CL-MAPF: Multi-Agent Path Finding for Car-Like Robots with Kinematic and Spatiotemporal Constraints


Nov 01, 2020
Licheng Wen, Zhen Zhang, Zhe Chen, Xiangrui Zhao, Yong Liu

Figure 1 for CL-MAPF: Multi-Agent Path Finding for Car-Like Robots with Kinematic and Spatiotemporal Constraints
Figure 2 for CL-MAPF: Multi-Agent Path Finding for Car-Like Robots with Kinematic and Spatiotemporal Constraints
Figure 3 for CL-MAPF: Multi-Agent Path Finding for Car-Like Robots with Kinematic and Spatiotemporal Constraints
Figure 4 for CL-MAPF: Multi-Agent Path Finding for Car-Like Robots with Kinematic and Spatiotemporal Constraints

  Access Paper or Ask Questions

APB2FaceV2: Real-Time Audio-Guided Multi-Face Reenactment


Oct 25, 2020
Jiangning Zhang, Xianfang Zeng, Chao Xu, Jun Chen, Yong Liu, Yunliang Jiang

Figure 1 for APB2FaceV2: Real-Time Audio-Guided Multi-Face Reenactment
Figure 2 for APB2FaceV2: Real-Time Audio-Guided Multi-Face Reenactment
Figure 3 for APB2FaceV2: Real-Time Audio-Guided Multi-Face Reenactment
Figure 4 for APB2FaceV2: Real-Time Audio-Guided Multi-Face Reenactment
* ICASSP'21 
  Access Paper or Ask Questions

A Pre-training Strategy for Recommendation


Oct 23, 2020
Susen Yang, Yong Liu, Chenyi Lei, Guoxin Wang, Haihong Tang, Juyong Zhang, Chunyan Miao

Figure 1 for A Pre-training Strategy for Recommendation
Figure 2 for A Pre-training Strategy for Recommendation
Figure 3 for A Pre-training Strategy for Recommendation
Figure 4 for A Pre-training Strategy for Recommendation

  Access Paper or Ask Questions

F-Siamese Tracker: A Frustum-based Double Siamese Network for 3D Single Object Tracking


Oct 22, 2020
Hao Zou, Jinhao Cui, Xin Kong, Chujuan Zhang, Yong Liu, Feng Wen, Wanlong Li

Figure 1 for F-Siamese Tracker: A Frustum-based Double Siamese Network for 3D Single Object Tracking
Figure 2 for F-Siamese Tracker: A Frustum-based Double Siamese Network for 3D Single Object Tracking
Figure 3 for F-Siamese Tracker: A Frustum-based Double Siamese Network for 3D Single Object Tracking
Figure 4 for F-Siamese Tracker: A Frustum-based Double Siamese Network for 3D Single Object Tracking
* 7pages, 5 figure 
  Access Paper or Ask Questions

Semantic Graph Based Place Recognition for 3D Point Clouds


Aug 26, 2020
Xin Kong, Xuemeng Yang, Guangyao Zhai, Xiangrui Zhao, Xianfang Zeng, Mengmeng Wang, Yong Liu, Wanlong Li, Feng Wen

Figure 1 for Semantic Graph Based Place Recognition for 3D Point Clouds
Figure 2 for Semantic Graph Based Place Recognition for 3D Point Clouds
Figure 3 for Semantic Graph Based Place Recognition for 3D Point Clouds
Figure 4 for Semantic Graph Based Place Recognition for 3D Point Clouds
* 8 pages. Accpeted by IROS-2020 
  Access Paper or Ask Questions

LIC-Fusion 2.0: LiDAR-Inertial-Camera Odometry with Sliding-Window Plane-Feature Tracking


Aug 17, 2020
Xingxing Zuo, Yulin Yang, Patrick Geneva, Jiajun Lv, Yong Liu, Guoquan Huang, Marc Pollefeys

Figure 1 for LIC-Fusion 2.0: LiDAR-Inertial-Camera Odometry with Sliding-Window Plane-Feature Tracking
Figure 2 for LIC-Fusion 2.0: LiDAR-Inertial-Camera Odometry with Sliding-Window Plane-Feature Tracking
Figure 3 for LIC-Fusion 2.0: LiDAR-Inertial-Camera Odometry with Sliding-Window Plane-Feature Tracking
Figure 4 for LIC-Fusion 2.0: LiDAR-Inertial-Camera Odometry with Sliding-Window Plane-Feature Tracking
* 8 pages; Accepted by a conference 
  Access Paper or Ask Questions

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

Figure 1 for DTVNet: Dynamic Time-lapse Video Generation via Single Still Image
Figure 2 for DTVNet: Dynamic Time-lapse Video Generation via Single Still Image
Figure 3 for DTVNet: Dynamic Time-lapse Video Generation via Single Still Image
Figure 4 for DTVNet: Dynamic Time-lapse Video Generation via Single Still Image

  Access Paper or Ask Questions

Targetless Calibration of LiDAR-IMU System Based on Continuous-time Batch Estimation


Jul 29, 2020
Jiajun Lv, Jinhong Xu, Kewei Hu, Yong Liu, Xingxing Zuo

Figure 1 for Targetless Calibration of LiDAR-IMU System Based on Continuous-time Batch Estimation
Figure 2 for Targetless Calibration of LiDAR-IMU System Based on Continuous-time Batch Estimation
Figure 3 for Targetless Calibration of LiDAR-IMU System Based on Continuous-time Batch Estimation
Figure 4 for Targetless Calibration of LiDAR-IMU System Based on Continuous-time Batch Estimation

  Access Paper or Ask Questions

Dive Deeper Into Box for Object Detection


Jul 15, 2020
Ran Chen, Yong Liu, Mengdan Zhang, Shu Liu, Bei Yu, Yu-Wing Tai

Figure 1 for Dive Deeper Into Box for Object Detection
Figure 2 for Dive Deeper Into Box for Object Detection
Figure 3 for Dive Deeper Into Box for Object Detection
Figure 4 for Dive Deeper Into Box for Object Detection
* Accepted by ECCV 2020 
  Access Paper or Ask Questions