Jun Wang

Bilevel Learning Model Towards Industrial Scheduling

Automatic industrial scheduling, aiming at optimizing the sequence of jo...
08/10/2020 ∙ by Longkang Li, et al. ∙ 5 ∙ share

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NPCFace: A Negative-Positive Cooperation Supervision for Training Large-scale Face Recognition

Deep face recognition has made remarkable advances in the last few years...
07/20/2020 ∙ by Dan Zeng, et al. ∙ 6 ∙ share

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Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search

In this paper, we introduce a new reinforcement learning (RL) based neur...
07/17/2020 ∙ by Yuan Tian, et al. ∙ 29 ∙ share

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InfoFocus: 3D Object Detection for Autonomous Driving with Dynamic Information Modeling

Real-time 3D object detection is crucial for autonomous cars. Achieving ...
07/16/2020 ∙ by Jun Wang, et al. ∙ 6 ∙ share

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Semi-Siamese Training for Shallow Face Learning

Most existing public face datasets, such as MS-Celeb-1M and VGGFace2, pr...
07/16/2020 ∙ by Hang Du, et al. ∙ 7 ∙ share

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Bidirectional Loss Function for Label Enhancement and Distribution Learning

Label distribution learning (LDL) is an interpretable and general learni...
07/07/2020 ∙ by Xinyuan Liu, et al. ∙ 10 ∙ share

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Structural Landmarking and Interaction Modelling: on Resolution Dilemmas in Graph Classification

Graph neural networks are promising architecture for learning and infere...
06/29/2020 ∙ by Kai Zhang, et al. ∙ 2 ∙ share

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Automated Radiological Report Generation For Chest X-Rays With Weakly-Supervised End-to-End Deep Learning

The chest X-Ray (CXR) is the one of the most common clinical exam used t...
06/18/2020 ∙ by Shuai Zhang, et al. ∙ 35 ∙ share

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SAMBA: Safe Model-Based Active Reinforcement Learning

In this paper, we propose SAMBA, a novel framework for safe reinforcemen...
06/12/2020 ∙ by Alexander I. Cowen-Rivers, et al. ∙ 4 ∙ share

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Learning to Model Opponent Learning

Multi-Agent Reinforcement Learning (MARL) considers settings in which a ...
06/06/2020 ∙ by Ian Davies, et al. ∙ 1 ∙ share

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Explore Training of Deep Convolutional Neural Networks on Battery-powered Mobile Devices: Design and Application

The fast-growing smart applications on mobile devices leverage pre-train...
05/26/2020 ∙ by Cong Wang, et al. ∙ 13 ∙ share

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Learning from a Lightweight Teacher for Efficient Knowledge Distillation

Knowledge Distillation (KD) is an effective framework for compressing de...
05/19/2020 ∙ by Yuang Liu, et al. ∙ 23 ∙ share

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Resisting the Distracting-factors in Pedestrian Detection

Pedestrian detection has been heavily studied in the last decade due to ...
05/15/2020 ∙ by Zhe Wang, et al. ∙ 0 ∙ share

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ViTAA: Visual-Textual Attributes Alignment in Person Search by Natural Language

Person search by natural language aims at retrieving a specific person i...
05/15/2020 ∙ by Zhe Wang, et al. ∙ 1 ∙ share

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Actor-Critic Reinforcement Learning for Control with Stability Guarantee

Deep Reinforcement Learning (DRL) has achieved impressive performance in...
04/29/2020 ∙ by Minghao Han, et al. ∙ 0 ∙ share

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Deep Feature-preserving Normal Estimation for Point Cloud Filtering

Point cloud filtering, the main bottleneck of which is removing noise (o...
04/24/2020 ∙ by Dening Lu, et al. ∙ 2 ∙ share

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Uncertainty Quantification for Hyperspectral Image Denoising Frameworks based on Low-rank Matrix Approximation

Low-rank matrix approximation (LRMA) is a technique widely applied in hy...
04/23/2020 ∙ by Shaobo Xia, et al. ∙ 3 ∙ share

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Toward Terabits-per-second Communications: Low-Complexity Parallel Decoding of G_N-Coset Codes

Recently, a parallel decoding framework of G_N-coset codes was proposed....
04/21/2020 ∙ by Xianbin Wang, et al. ∙ 0 ∙ share

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Toward Terabits-per-second Communications: A High-Throughput Hardware Implementation of G_N-Coset Codes

Recently, a parallel decoding algorithm of G_N-coset codes was proposed....
04/21/2020 ∙ by Jiajie Tong, et al. ∙ 0 ∙ share

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CausalVAE: Structured Causal Disentanglement in Variational Autoencoder

Learning disentanglement aims at finding a low dimensional representatio...
04/18/2020 ∙ by Mengyue Yang, et al. ∙ 12 ∙ share

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Controllable Variational Autoencoder

Variational Autoencoders (VAE) and their variants have been widely used ...
04/13/2020 ∙ by Huajie Shao, et al. ∙ 5 ∙ share

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MLCVNet: Multi-Level Context VoteNet for 3D Object Detection

In this paper, we address the 3D object detection task by capturing mult...
04/12/2020 ∙ by Qian Xie, et al. ∙ 8 ∙ share

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Consistent and Complementary Graph Regularized Multi-view Subspace Clustering

This study investigates the problem of multi-view clustering, where mult...
04/07/2020 ∙ by Qinghai Zheng, et al. ∙ 3 ∙ share

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Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19

The pandemic of coronavirus disease 2019 (COVID-19) is spreading all ove...
04/06/2020 ∙ by Feng Shi, et al. ∙ 18 ∙ share

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Detecting Suspected Epidemic Cases Using Trajectory Big Data

Emerging infectious diseases are crucial threats to human health and glo...
04/02/2020 ∙ by Chuansai Zhou, et al. ∙ 0 ∙ share

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Dynamic Reconstruction of Deformable Soft-tissue with Stereo Scope in Minimal Invasive Surgery

In minimal invasive surgery, it is important to rebuild and visualize th...
03/22/2020 ∙ by Jingwei Song, et al. ∙ 4 ∙ share

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Curved Buildings Reconstruction from Airborne LiDAR Data by Matching and Deforming Geometric Primitives

Airborne LiDAR (Light Detection and Ranging) data is widely applied in b...
03/22/2020 ∙ by Jingwei Song, et al. ∙ 1 ∙ share

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A Soft Cancellation Decoder for Parity-Check Polar Codes

Polar codes has been selected as the channel coding scheme for 5G new ra...
03/19/2020 ∙ by Jiajie Tong, et al. ∙ 0 ∙ share

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Partial Multi-label Learning with Label and Feature Collaboration

Partial multi-label learning (PML) models the scenario where each traini...
03/17/2020 ∙ by Tingting Yu, et al. ∙ 7 ∙ share

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Lung Infection Quantification of COVID-19 in CT Images with Deep Learning

CT imaging is crucial for diagnosis, assessment and staging COVID-19 inf...
03/10/2020 ∙ by Fei Shan+, et al. ∙ 26 ∙ share

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CRATOS: Cogination of Reliable Algorithm for Time-series Optimal Solution

Anomaly detection of time series plays an important role in reliability ...
03/03/2020 ∙ by Ziling Wu, et al. ∙ 6 ∙ share

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CRATOS: Cognition of Reliable Algorithm for Time-series Optimal Solution

Anomaly detection of time series plays an important role in reliability ...
03/03/2020 ∙ by Ziling Wu, et al. ∙ 3 ∙ share

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Learning Structured Communication for Multi-agent Reinforcement Learning

This work explores the large-scale multi-agent communication mechanism u...
02/11/2020 ∙ by Junjie Sheng, et al. ∙ 16 ∙ share

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Compositional ADAM: An Adaptive Compositional Solver

In this paper, we present C-ADAM, the first adaptive solver for composit...
02/10/2020 ∙ by Rasul Tutunov, et al. ∙ 6 ∙ share

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Multi-Agent Interactions Modeling with Correlated Policies

In multi-agent systems, complex interacting behaviors arise due to the h...
01/04/2020 ∙ by Minghuan Liu, et al. ∙ 0 ∙ share

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Crowdfunding Dynamics Tracking: A Reinforcement Learning Approach

Recent years have witnessed the increasing interests in research of crow...
12/27/2019 ∙ by Jun Wang, et al. ∙ 6 ∙ share

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Attention-Aware Answers of the Crowd

Crowdsourcing is a relatively economic and efficient solution to collect...
12/24/2019 ∙ by Jingzheng Tu, et al. ∙ 1 ∙ share

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An integral equation method for the simulation of doubly-periodic suspensions of rigid bodies in a shearing viscous flow

With rheology applications in mind, we present a fast solver for the tim...
12/10/2019 ∙ by Jun Wang, et al. ∙ 0 ∙ share

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Reinforcement Learning based Visual Navigation with Information-Theoretic Regularization

We present a target-driven navigation approach for improving the cross-t...
12/09/2019 ∙ by Qiaoyun Wu, et al. ∙ 0 ∙ share

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Multi-View Multiple Clusterings using Deep Matrix Factorization

Multi-view clustering aims at integrating complementary information from...
11/26/2019 ∙ by Shaowei Wei, et al. ∙ 10 ∙ share

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SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking

By decomposing the visual tracking task into two subproblems as classifi...
11/17/2019 ∙ by Dongyan Guo, et al. ∙ 26 ∙ share

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Buffer-aware Wireless Scheduling based on Deep Reinforcement Learning

In this paper, the downlink packet scheduling problem for cellular netwo...
11/13/2019 ∙ by Chen Xu, et al. ∙ 0 ∙ share

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H_∞ Model-free Reinforcement Learning with Robust Stability Guarantee

Reinforcement learning is showing great potentials in robotics applicati...
11/07/2019 ∙ by Minghao Han, et al. ∙ 0 ∙ share

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H_inf Model-free Reinforcement Learning with Robust Stability Guarantee

Reinforcement learning is showing great potentials in robotics applicati...
11/07/2019 ∙ by Minghao Han, et al. ∙ 0 ∙ share

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Active Multi-Label Crowd Consensus

Crowdsourcing is an economic and efficient strategy aimed at collecting ...
11/07/2019 ∙ by Jinzheng Tu, et al. ∙ 0 ∙ share

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Mixup-breakdown: a consistency training method for improving generalization of speech separation models

Deep-learning based speech separation models confront poor generalizatio...
10/28/2019 ∙ by Max W. Y. Lam, et al. ∙ 0 ∙ share

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Multi-View Reinforcement Learning

This paper is concerned with multi-view reinforcement learning (MVRL), w...
10/18/2019 ∙ by Minne Li, et al. ∙ 20 ∙ share

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GREASE: A Generative Model for Relevance Search over Knowledge Graphs

Relevance search is to find top-ranked entities in a knowledge graph (KG...
10/11/2019 ∙ by Tianshuo Zhou, et al. ∙ 0 ∙ share

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Fast integral equation methods for linear and semilinear heat equations in moving domains

We present a family of integral equation-based solvers for the linear or...
10/02/2019 ∙ by Jun Wang, et al. ∙ 0 ∙ share

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α^α-Rank: Scalable Multi-agent Evaluation through Evolution

Although challenging, strategy profile evaluation in large connected lea...
09/25/2019 ∙ by Yaodong Yang, et al. ∙ 0 ∙ share

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Jun Wang

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