Yan Wang

Learning Efficient GANs via Differentiable Masks and co-Attention Distillation

Generative Adversarial Networks (GANs) have been widely-used in image tr...
11/17/2020 ∙ by Shaojie Li, et al. ∙ 0 ∙ share

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Deep Learning Analysis and Age Prediction from Shoeprints

Human walking and gaits involve several complex body parts and are influ...
11/07/2020 ∙ by Muhammad Hassan, et al. ∙ 15 ∙ share

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Rotated Binary Neural Network

Binary Neural Network (BNN) shows its predominance in reducing the compl...
09/28/2020 ∙ by Mingbao Lin, et al. ∙ 0 ∙ share

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Profile Consistency Identification for Open-domain Dialogue Agents

Maintaining a consistent attribute profile is crucial for dialogue agent...
09/21/2020 ∙ by Haoyu Song, et al. ∙ 0 ∙ share

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Enhancing Dialogue Generation via Multi-Level Contrastive Learning

Most of the existing works for dialogue generation are data-driven model...
09/19/2020 ∙ by Xin Li, et al. ∙ 0 ∙ share

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Stratified and Time-aware Sampling based Adaptive Ensemble Learning for Streaming Recommendations

Recommender systems have played an increasingly important role in provid...
09/15/2020 ∙ by Yan Zhao, et al. ∙ 0 ∙ share

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Double-Wing Mixture of Experts for Streaming Recommendations

Streaming Recommender Systems (SRSs) commonly train recommendation model...
09/14/2020 ∙ by Yan Zhao, et al. ∙ 0 ∙ share

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A Deep Framework for Cross-Domain and Cross-System Recommendations

Cross-Domain Recommendation (CDR) and Cross-System Recommendations (CSR)...
09/14/2020 ∙ by Feng Zhu, et al. ∙ 0 ∙ share

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Developing and Improving Risk Models using Machine-learning Based Algorithms

The objective of this study is to develop a good risk model for classify...
09/09/2020 ∙ by Yan Wang, et al. ∙ 0 ∙ share

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Improving Investment Suggestions for Peer-to-Peer (P2P) Lending via Integrating Credit Scoring into Profit Scoring

In the peer-to-peer (P2P) lending market, lenders lend the money to the ...
09/09/2020 ∙ by Yan Wang, et al. ∙ 0 ∙ share

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Auxiliary-task Based Deep Reinforcement Learning for Participant Selection Problem in Mobile Crowdsourcing

In mobile crowdsourcing (MCS), the platform selects participants to comp...
08/25/2020 ∙ by Wei Shen, et al. ∙ 20 ∙ share

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Interpretable Real-Time Win Prediction for Honor of Kings, a Popular Mobile MOBA Esport

With the rapid prevalence and explosive development of MOBA esports (Mul...
08/14/2020 ∙ by Zelong Yang, et al. ∙ 0 ∙ share

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MiCo: Mixup Co-Training for Semi-Supervised Domain Adaptation

Semi-supervised domain adaptation (SSDA) aims to adapt models from a lab...
07/24/2020 ∙ by Luyu Yang, et al. ∙ 13 ∙ share

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srMO-BO-3GP: A sequential regularized multi-objective constrained Bayesian optimization for design applications

Bayesian optimization (BO) is an efficient and flexible global optimizat...
07/07/2020 ∙ by Anh Tran, et al. ∙ 0 ∙ share

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Wasserstein Distances for Stereo Disparity Estimation

Existing approaches to depth or disparity estimation output a distributi...
07/06/2020 ∙ by Divyansh Garg, et al. ∙ 0 ∙ share

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Recognizing Chinese Judicial Named Entity using BiLSTM-CRF

Named entity recognition (NER) plays an essential role in natural langua...
05/31/2020 ∙ by Pin Tang, et al. ∙ 0 ∙ share

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The 'Letter' Distribution in the Chinese Language

Corpus-based statistical analysis plays a significant role in linguistic...
05/26/2020 ∙ by Qinghua Chen, et al. ∙ 0 ∙ share

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Domain Adaptive Relational Reasoning for 3D Multi-Organ Segmentation

In this paper, we present a novel unsupervised domain adaptation (UDA) m...
05/18/2020 ∙ by Shuhao Fu, et al. ∙ 6 ∙ share

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Train in Germany, Test in The USA: Making 3D Object Detectors Generalize

In the domain of autonomous driving, deep learning has substantially imp...
05/17/2020 ∙ by Yan Wang, et al. ∙ 18 ∙ share

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Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Images for Segmentation

Automatic tumor segmentation is a crucial step in medical image analysis...
05/08/2020 ∙ by Shuchao Pang, et al. ∙ 0 ∙ share

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A Dual-Dimer Method for Training Physics-Constrained Neural Networks with Minimax Architecture

Data sparsity is a common issue to train machine learning tools such as ...
05/01/2020 ∙ by Dehao Liu, et al. ∙ 0 ∙ share

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Graph Learning Approaches to Recommender Systems: A Review

Recent years have witnessed the fast development of the emerging topic o...
04/22/2020 ∙ by Shoujin Wang, et al. ∙ 0 ∙ share

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Generate, Delete and Rewrite: A Three-Stage Framework for Improving Persona Consistency of Dialogue Generation

Maintaining a consistent personality in conversations is quite natural f...
04/16/2020 ∙ by Haoyu Song, et al. ∙ 0 ∙ share

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End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection

Reliable and accurate 3D object detection is a necessity for safe autono...
04/07/2020 ∙ by Rui Qian, et al. ∙ 6 ∙ share

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Grayscale Data Construction and Multi-Level Ranking Objective for Dialogue Response Selection

Response selection plays a vital role in building retrieval-based conver...
04/06/2020 ∙ by Zibo Lin, et al. ∙ 0 ∙ share

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Prototype-to-Style: Dialogue Generation with Style-Aware Editing on Retrieval Memory

The ability of a dialog system to express prespecified language style du...
04/05/2020 ∙ by Yixuan Su, et al. ∙ 0 ∙ share

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Stylistic Dialogue Generation via Information-Guided Reinforcement Learning Strategy

Stylistic response generation is crucial for building an engaging dialog...
04/05/2020 ∙ by Yixuan Su, et al. ∙ 0 ∙ share

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Multiscale stochastic reduced-order model for uncertainty propagation using Fokker-Planck equation with microstructure evolution applications

Uncertainty involved in computational materials modeling needs to be qua...
03/30/2020 ∙ by Anh Tran, et al. ∙ 0 ∙ share

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Temporal Convolutional Attention-based Network For Sequence Modeling

With the development of feed-forward models, the default model for seque...
02/28/2020 ∙ by Hongyan Hao, et al. ∙ 0 ∙ share

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HRank: Filter Pruning using High-Rank Feature Map

Neural network pruning offers a promising prospect to facilitate deployi...
02/24/2020 ∙ by Mingbao Lin, et al. ∙ 7 ∙ share

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Updates-Aware Graph Pattern based Node Matching

Graph Pattern based Node Matching (GPNM) is to find all the matches of t...
02/18/2020 ∙ by Guohao Sun, et al. ∙ 0 ∙ share

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A Reliable Gravity Compensation Control Strategy for dVRK Robotic Arms With Nonlinear Disturbance Forces

External disturbance forces caused by nonlinear springy electrical cable...
01/17/2020 ∙ by Hongbin Lin, et al. ∙ 0 ∙ share

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Cross-dataset Training for Class Increasing Object Detection

We present a conceptually simple, flexible and general framework for cro...
01/14/2020 ∙ by Yongqiang Yao, et al. ∙ 16 ∙ share

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On the Improved Rates of Convergence for Matérn-type Kernel Ridge Regression, with Application to Calibration of Computer Models

Kernel ridge regression is an important nonparametric method for estimat...
01/01/2020 ∙ by Rui Tuo, et al. ∙ 0 ∙ share

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Effective Model Calibration via Sensible Variable Identification and Adjustment, with Application to Composite Fuselage Simulation

Estimation of model parameters of computer simulators, also known as cal...
12/29/2019 ∙ by Yan Wang, et al. ∙ 0 ∙ share

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Sequential Recommender Systems: Challenges, Progress and Prospects

The emerging topic of sequential recommender systems has attracted incre...
12/28/2019 ∙ by Shoujin Wang, et al. ∙ 0 ∙ share

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Deep Distance Transform for Tubular Structure Segmentation in CT Scans

Tubular structure segmentation in medical images, e.g., segmenting vesse...
12/06/2019 ∙ by Yan Wang, et al. ∙ 17 ∙ share

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Adaptive Portfolio by Solving Multi-armed Bandit via Thompson Sampling

As the cornerstone of modern portfolio theory, Markowitz's mean-variance...
11/13/2019 ∙ by Mengying Zhu, et al. ∙ 0 ∙ share

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Context-aware Dynamic Assets Selection for Online Portfolio Selection based on Contextual Bandit

Online portfolio selection is a sequential decision-making problem in fi...
11/13/2019 ∙ by Mengying Zhu, et al. ∙ 0 ∙ share

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SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning

Few-shot learners aim to recognize new object classes based on a small n...
11/12/2019 ∙ by Yan Wang, et al. ∙ 0 ∙ share

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LDLS: 3-D Object Segmentation Through Label Diffusion From 2-D Images

Object segmentation in three-dimensional (3-D) point clouds is a critica...
10/30/2019 ∙ by Brian H. Wang, et al. ∙ 11 ∙ share

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Applications of Generative Adversarial Models in Visual Search Reformulation

Query reformulation is the process by which a input search query is refi...
10/28/2019 ∙ by Kyle Xiao, et al. ∙ 0 ∙ share

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Metric Classification Network in Actual Face Recognition Scene

In order to make facial features more discriminative, some new models ha...
10/25/2019 ∙ by Jian Li, et al. ∙ 26 ∙ share

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Hadamard Codebook Based Deep Hashing

As an approximate nearest neighbor search technique, hashing has been wi...
10/21/2019 ∙ by Shen Chen, et al. ∙ 0 ∙ share

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Motion Planning through Demonstration to Deal with Complex Motions in Assembly Process

Complex and skillful motions in actual assembly process are challenging ...
10/04/2019 ∙ by Yan Wang, et al. ∙ 13 ∙ share

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An Empirical Study on the Characteristics of Question-Answering Process on Developer Forums

Developer forums are one of the most popular and useful Q&A websites on ...
09/05/2019 ∙ by Yi Li, et al. ∙ 0 ∙ share

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Hyper-Pairing Network for Multi-Phase Pancreatic Ductal Adenocarcinoma Segmentation

Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancer...
09/03/2019 ∙ by Yuyin Zhou, et al. ∙ 0 ∙ share

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Semi-Supervised Adversarial Monocular Depth Estimation

In this paper, we address the problem of monocular depth estimation when...
08/06/2019 ∙ by Rongrong Ji, et al. ∙ 8 ∙ share

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A systematic review of fuzzing based on machine learning techniques

Security vulnerabilities play a vital role in network security system. F...
08/04/2019 ∙ by Yan Wang, et al. ∙ 0 ∙ share

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Deep Differentiable Random Forests for Age Estimation

Age estimation from facial images is typically cast as a label distribut...
07/23/2019 ∙ by Wei Shen, et al. ∙ 0 ∙ share

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Yan Wang

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