Yong Liu

Collision-free Trajectory Planning for Autonomous Surface Vehicle

May 20, 2020
Licheng Wen, Jiaqing Yan, Xuemeng Yang, Yong Liu, Yong Gu

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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

* ICASSP 2020

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Endowing Empathetic Dialogue Systems with Personas

Apr 30, 2020
Peixiang Zhong, Yao Sun, Yong Liu, Chen Zhang, Hao Wang, Zaiqing Nie, Chunyan Miao

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Feature Lenses: Plug-and-play Neural Modules for Transformation-Invariant Visual Representations

Apr 12, 2020
Shaohua Li, Xiuchao Sui, Jie Fu, Yong Liu, Rick Siow Mong Goh

* 20 pages

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Extended Feature Pyramid Network for Small Object Detection

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

* 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

* 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

* Accepted to CVPR 2020

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Realistic Face Reenactment via Self-Supervised Disentangling of Identity and Pose

Mar 29, 2020
Xianfang Zeng, Yusu Pan, Mengmeng Wang, Jiangning Zhang, Yong Liu

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Theoretical Analysis of Divide-and-Conquer ERM: Beyond Square Loss and RKHS

Mar 17, 2020
Yong Liu, Lizhong Ding, Weiping Wang

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Nearly Optimal Risk Bounds for Kernel K-Means

Mar 09, 2020
Yong Liu, Lizhong Ding, Hua Zhang, Wenqi Ren, Xiao Zhang, Shali Jiang, Xinwang Liu, Weiping Wang

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Risk Analysis of Divide-and-Conquer ERM

Mar 09, 2020
Yong Liu, Lizhong Ding, Weiping Wang

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Propagating Asymptotic-Estimated Gradients for Low Bitwidth Quantized Neural Networks

Mar 04, 2020
Jun Chen, Yong Liu, Hao Zhang, Shengnan Hou, Jian Yang

* IEEE Journal of Selected Topics in Signal Processing 2020
* This paper has been accepted for publication in the IEEE Journal of Selected Topics in Signal Processing

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Convolutional Spectral Kernel Learning

Feb 28, 2020
Jian Li, Yong Liu, Weiping Wang

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Differentially Private ERM Based on Data Perturbation

Feb 20, 2020
Yilin Kang, Yong Liu, Lizhong Ding, Xinwang Liu, Xinyi Tong, Weiping Wang

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Input Perturbation: A New Paradigm between Central and Local Differential Privacy

Feb 20, 2020
Yilin Kang, Yong Liu, Ben Niu, Xinyi Tong, Likun Zhang, Weiping Wang

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AttentionAnatomy: A unified framework for whole-body organs at risk segmentation using multiple partially annotated datasets

Jan 13, 2020
Shanlin Sun, Yang Liu, Narisu Bai, Hao Tang, Xuming Chen, Qian Huang, Yong Liu, Xiaohui Xie

* accepted by ISBI 2020 (4 pages, 2 figures)

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Yong Liu

Collision-free Trajectory Planning for Autonomous Surface Vehicle

Hierarchical and Efficient Learning for Person Re-Identification

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

Endowing Empathetic Dialogue Systems with Personas

Feature Lenses: Plug-and-play Neural Modules for Transformation-Invariant Visual Representations

Extended Feature Pyramid Network for Small Object Detection

A Learning Framework for n-bit Quantized Neural Networks toward FPGAs

Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation

Realistic Face Reenactment via Self-Supervised Disentangling of Identity and Pose

Theoretical Analysis of Divide-and-Conquer ERM: Beyond Square Loss and RKHS

Nearly Optimal Risk Bounds for Kernel K-Means

Risk Analysis of Divide-and-Conquer ERM

Propagating Asymptotic-Estimated Gradients for Low Bitwidth Quantized Neural Networks

Convolutional Spectral Kernel Learning

Differentially Private ERM Based on Data Perturbation

Input Perturbation: A New Paradigm between Central and Local Differential Privacy

AttentionAnatomy: A unified framework for whole-body organs at risk segmentation using multiple partially annotated datasets

Variational Quantum Circuits for Quantum State Tomography

Efficient Robotic Task Generalization Using Deep Model Fusion Reinforcement Learning

RoboCoDraw: Robotic Avatar Drawing with GAN-based Style Transfer and Time-efficient Path Optimization

Multi-Agent Game Abstraction via Graph Attention Neural Network

Weighted Distributed Differential Privacy ERM: Convex and Non-convex

Visual-Inertial Localization for Skid-Steering Robots with Kinematic Constraints

Automatic Data Augmentation by Learning the Deterministic Policy

Automated Spectral Kernel Learning

Learning Vector-valued Functions with Local Rademacher Complexity

LIC-Fusion: LiDAR-Inertial-Camera Odometry