Weiyue Wang
30 papers · 2016–2022 · 11 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (10) π Renaissance Researcher (5) π Interdisciplinary Bridge π£ Hot Topic Early Bird
πΊοΈ
Taxonomy Completionist
(10)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Keyword Trendsetter Combo
(3)
π€
Dynamic Duo
(18)
π±
Topic Pioneer
π¬
Deep Specialist
(10)
π
Keyword Champion
(2)
π
Century Club
(30)
ποΈ
Keyword Collector
(107)
π
Trend Setter
π
Conference Pioneer
π₯
Unstoppable
(7)
β‘
Prolific Year
(6)
Conferences
ACL (8)
CVPR (5)
IJCNLP (4)
ECCV (3)
AACL (2)
EMNLP (2)
ICCV (2)
COLING (1)
INTERSPEECH (1)
NIPS (1)
WACV (1)
Top co-authors
Keywords
neural network
(7)
point cloud
(5)
neural machine translation
(5)
machine translation
(4)
hidden markov model
(4)
3d object detection
(3)
transfer learning
(3)
sequence-to-sequence model
(3)
named entity recognition
(3)
sequence labeling
(2)
data augmentation
(2)
end-to-end training
(2)
non-autoregressive transformer
(2)
attention mechanism
(2)
gaussian mixture model
(2)
synthetic datum
(2)
pedestrian detection
(2)
3d reconstruction
(2)
autonomous driving
(2)
variational inference
(2)
Papers
PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds
ECCV 2022
SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds
ECCV 2022
To the Point: Efficient 3D Object Detection in the Range Image With Graph Convolution Kernels
CVPR 2021
Transformer-Based Direct Hidden Markov Model for Machine Translation
IJCNLP 2021
Investigation on Data Adaptation Techniques for Neural Named Entity Recognition
IJCNLP 2021
SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation
ICCV 2021
Investigation on Data Adaptation Techniques for Neural Named Entity Recognition
ACL 2021
Transformer-Based Direct Hidden Markov Model for Machine Translation
ACL 2021
Integrated Training for Sequence-to-Sequence Models Using Non-Autoregressive Transformer
IJCNLP 2021
Integrated Training for Sequence-to-Sequence Models Using Non-Autoregressive Transformer
ACL 2021
RSN: Range Sparse Net for Efficient, Accurate LiDAR 3D Object Detection
CVPR 2021
Stochastic Dynamics for Video Infilling
WACV 2020
Towards a Better Understanding of Label Smoothing in Neural Machine Translation
AACL 2020
Predicting and Using Target Length in Neural Machine Translation
AACL 2020
Neural Language Modeling for Named Entity Recognition
COLING 2020
Towards a Better Evaluation of Metrics for Machine Translation
EMNLP 2020
Investigation of Large-Margin Softmax in Neural Language Modeling
INTERSPEECH 2020
The RWTH Aachen University Machine Translation Systems for WMT 2019
ACL 2019
uniblock: Scoring and Filtering Corpus with Unicode Block Information
IJCNLP 2019
EED: Extended Edit Distance Measure for Machine Translation
ACL 2019
uniblock: Scoring and Filtering Corpus with Unicode Block Information
EMNLP 2019
DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction
NIPS 2019
3DN: 3D Deformation Network
CVPR 2019
Recurrent Slice Networks for 3D Segmentation of Point Clouds
CVPR 2018
SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation
CVPR 2018
Neural Hidden Markov Model for Machine Translation
ACL 2018
Depth-aware CNN for RGB-D Segmentation
ECCV 2018
Shape Inpainting Using 3D Generative Adversarial Network and Recurrent Convolutional Networks
ICCV 2017
Hybrid Neural Network Alignment and Lexicon Model in Direct HMM for Statistical Machine Translation
ACL 2017
Exponentially Decaying Bag-of-Words Input Features for Feed-Forward Neural Network in Statistical Machine Translation
ACL 2016