Yan Wang

Orcid: 0000-0003-4309-3166

Affiliations:
  • Microsoft, Redmond, WA, USA
  • Pinterest, San Francisco, CA, USA (former)
  • Columbia University, Department of Electrical Engineering, New York, NY, USA (PhD 2015)


According to our database1, Yan Wang authored at least 43 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Distilling a Powerful Student Model via Online Knowledge Distillation.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

DDPNAS: Efficient Neural Architecture Search via Dynamic Distribution Pruning.
Int. J. Comput. Vis., May, 2023

Fast Monocular Depth Estimation via Side Prediction Aggregation with Continuous Spatial Refinement.
IEEE Trans. Multim., 2023

Learning Efficient GANs for Image Translation via Differentiable Masks and Co-Attention Distillation.
IEEE Trans. Multim., 2023

A Unified Framework for 3D Point Cloud Visual Grounding.
CoRR, 2023

Exploring Invariant Representation for Visible-Infrared Person Re-Identification.
CoRR, 2023

Meta Architecture for Point Cloud Analysis.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

OMPQ: Orthogonal Mixed Precision Quantization.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Network Pruning Using Adaptive Exemplar Filters.
IEEE Trans. Neural Networks Learn. Syst., 2022

Towards Lightweight Transformer Via Group-Wise Transformation for Vision-and-Language Tasks.
IEEE Trans. Image Process., 2022

Towards Robust Adversarial Training via Dual-label Supervised and Geometry Constraint.
Int. J. Softw. Informatics, 2022

Meta Architecure for Point Cloud Analysis.
CoRR, 2022

Towards Open-Ended Text-to-Face Generation, Combination and Manipulation.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Black-Box Dissector: Towards Erasing-Based Hard-Label Model Stealing Attack.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Evolving Fully Automated Machine Learning via Life-Long Knowledge Anchors.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

OMPQ: Orthogonal Mixed Precision Quantization.
CoRR, 2021

You Only Compress Once: Towards Effective and Elastic BERT Compression via Exploit-Explore Stochastic Nature Gradient.
CoRR, 2021

ISTR: End-to-End Instance Segmentation with Transformers.
CoRR, 2021

Lottery Jackpots Exist in Pre-trained Models.
CoRR, 2021

Distilling a Powerful Student Model via Online Knowledge Distillation.
CoRR, 2021

Non-Parametric Adaptive Network Pruning.
CoRR, 2021

2020
Semi-Supervised Adversarial Monocular Depth Estimation.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Learning Efficient GANs using Differentiable Masks and co-Attention Distillation.
CoRR, 2020

Rotated Binary Neural Network.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Enabling Deep Residual Networks for Weakly Supervised Object Detection.
Proceedings of the Computer Vision - ECCV 2020, 2020

HRank: Filter Pruning Using High-Rank Feature Map.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Hadamard Codebook Based Deep Hashing.
CoRR, 2019

Variational Structured Semantic Inference for Diverse Image Captioning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Cyclic Guidance for Weakly Supervised Joint Detection and Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Model-Driven Feedforward Prediction for Manipulation of Deformable Objects.
IEEE Trans Autom. Sci. Eng., 2018

Generative Adversarial Learning Towards Fast Weakly Supervised Detection.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2016
Joint Depth and Semantic Inference from a Single Image via Elastic Conditional Random Field.
Pattern Recognit., 2016

Model-Driven Feed-Forward Prediction for Manipulation of Deformable Objects.
CoRR, 2016

3D shape retrieval using a single depth image from low-cost sensors.
Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

PanoSwarm: Collaborative and Synchronized Multi-Device Panoramic Photography.
Proceedings of the 21st International Conference on Intelligent User Interfaces, 2016

Search-Based Depth Estimation via Coupled Dictionary Learning with Large-Margin Structure Inference.
Proceedings of the Computer Vision - ECCV 2016, 2016

2015
Three-Dimensional Object Search, Understanding, and Pose Estimation with Low-Cost Sensors.
PhD thesis, 2015

CamSwarm: Instantaneous Smartphone Camera Arrays for Collaborative Photography.
CoRR, 2015

Regrasping and unfolding of garments using predictive thin shell modeling.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014
Real-time pose estimation of deformable objects using a volumetric approach.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

From Low-Cost Depth Sensors to CAD: Cross-Domain 3D Shape Retrieval via Regression Tree Fields.
Proceedings of the Computer Vision - ECCV 2014, 2014

Discriminative Indexing for Probabilistic Image Patch Priors.
Proceedings of the Computer Vision - ECCV 2014, 2014

2013
Label Propagation from ImageNet to 3D Point Clouds.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013


  Loading...