b'Yan Wang'

Sketch and Customize: A Counterfactual Story Generator

Recent text generation models are easy to generate relevant and fluent t...
04/02/2021 ∙ by Changying Hao, et al. ∙ 0 ∙ share

read it
Checkerboard Context Model for Efficient Learned Image Compression

For learned image compression, the autoregressive context model is prove...
03/29/2021 ∙ by Dailan He, et al. ∙ 0 ∙ share

read it
Distilling a Powerful Student Model via Online Knowledge Distillation

Existing online knowledge distillation approaches either adopt the stude...
03/26/2021 ∙ by Shaojie Li, et al. ∙ 0 ∙ share

read it
Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection

Self-driving cars must detect other vehicles and pedestrians in 3D to pl...
03/26/2021 ∙ by Yurong You, et al. ∙ 0 ∙ share

read it
Robotic Imitation of Human Assembly Skills Using Hybrid Trajectory and Force Learning

Robotic assembly tasks involve complex and low-clearance insertion traje...
03/10/2021 ∙ by Yan Wang, et al. ∙ 0 ∙ share

read it
SpecTr: Spectral Transformer for Hyperspectral Pathology Image Segmentation

Hyperspectral imaging (HSI) unlocks the huge potential to a wide variety...
03/05/2021 ∙ by Boxiang Yun, et al. ∙ 0 ∙ share

read it
Cross-Domain Recommendation: Challenges, Progress, and Prospects

To address the long-standing data sparsity problem in recommender system...
03/02/2021 ∙ by Feng Zhu, et al. ∙ 0 ∙ share

read it
CogDL: An Extensive Toolkit for Deep Learning on Graphs

Graph representation learning aims to learn low-dimensional node embeddi...
03/01/2021 ∙ by Yukuo Cen, et al. ∙ 0 ∙ share

read it
Penalized Projected Kernel Calibration for Computer Models

Projected kernel calibration is known to be theoretically superior, its ...
03/01/2021 ∙ by Yan Wang, et al. ∙ 0 ∙ share

read it
Non-Autoregressive Text Generation with Pre-trained Language Models

Non-autoregressive generation (NAG) has recently attracted great attenti...
02/16/2021 ∙ by Yixuan Su, et al. ∙ 10 ∙ share

read it
Can Predominant Credible Information Suppress Misinformation in Crises? Empirical Studies of Tweets Related to Prevention Measures during COVID-19

During COVID-19, misinformation on social media affects the adoption of ...
02/01/2021 ∙ by Yan Wang, et al. ∙ 0 ∙ share

read it
Non-Parametric Adaptive Network Pruning

Popular network pruning algorithms reduce redundant information by optim...
01/20/2021 ∙ by Mingbao Lin, et al. ∙ 0 ∙ share

read it
PLUME: Efficient 3D Object Detection from Stereo Images

3D object detection plays a significant role in various robotic applicat...
01/17/2021 ∙ by Yan Wang, et al. ∙ 14 ∙ share

read it
A Two Sub-problem Decomposition for the Optimal Design of Filterless Optical Networks

Filterless optical transport networks relies on passive optical intercon...
01/04/2021 ∙ by Brigitte Jaumard, et al. ∙ 0 ∙ share

read it
Sub-Gaussian Error Bounds for Hypothesis Testing

We interpret likelihood-based test functions from a geometric perspectiv...
01/01/2021 ∙ by Yan Wang, et al. ∙ 0 ∙ share

read it
Dialogue Response Selection with Hierarchical Curriculum Learning

We study the learning of a matching model for dialogue response selectio...
12/29/2020 ∙ by Yixuan Su, et al. ∙ 4 ∙ share

read it
Predicting Events in MOBA Games: Dataset, Attribution, and Evaluation

The multiplayer online battle arena (MOBA) games have become increasingl...
12/17/2020 ∙ by Zelong Yang, et al. ∙ 14 ∙ share

read it
Towards Scalable and Privacy-Preserving Deep Neural Network via Algorithmic-Cryptographic Co-design

Deep Neural Networks (DNNs) have achieved remarkable progress in various...
12/17/2020 ∙ by Chaochao Chen, et al. ∙ 0 ∙ share

read it
A multi-objective optimization framework for on-line ridesharing systems

The ultimate goal of ridesharing systems is to matchtravelers who do not...
12/07/2020 ∙ by Hamed Javidi, et al. ∙ 0 ∙ share

read it
Inter-slice Context Residual Learning for 3D Medical Image Segmentation

Automated and accurate 3D medical image segmentation plays an essential ...
11/28/2020 ∙ by Jianpeng Zhang, et al. ∙ 5 ∙ share

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it

Yan Wang

Featured Co-authors