Qiang Li

Affiliations:
  • Kuaishou Technology, Y-tech, Beijing, China
  • University of Technology Sydney, School of Software, Australia (PhD 2018)


According to our database1, Qiang Li authored at least 23 papers between 2014 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
FEditNet: Few-Shot Editing of Latent Semantics in GAN Spaces.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Bridging CLIP and StyleGAN through Latent Alignment for Image Editing.
CoRR, 2022

ITTR: Unpaired Image-to-Image Translation with Transformers.
CoRR, 2022

Exploring Set Similarity for Dense Self-supervised Representation Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

CRIS: CLIP-Driven Referring Image Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Adversarial training regularization for negative sampling based network embedding.
Inf. Sci., 2021

BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Siamese Keypoint Prediction Network for Visual Object Tracking.
CoRR, 2020

2019
Adapting Stochastic Block Models to Power-Law Degree Distributions.
IEEE Trans. Cybern., 2019

StyleRemix: An Interpretable Representation for Neural Image Style Transfer.
CoRR, 2019

Adversarial Training Methods for Network Embedding.
Proceedings of the World Wide Web Conference, 2019

Ranking Network Embedding via Adversarial Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

End-to-End Hand Mesh Recovery From a Monocular RGB Image.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Large-Scale Order Dispatch in On-Demand Ride-Hailing Platforms: A Learning and Planning Approach.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Adversarial Network Embedding.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Learning sparse graphical models for data restoration and multi-label classification
PhD thesis, 2017

Improving Stochastic Block Models by Incorporating Power-Law Degree Characteristic.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016
Mutual Component Analysis for Heterogeneous Face Recognition.
ACM Trans. Intell. Syst. Technol., 2016

Correlated Logistic Model With Elastic Net Regularization for Multilabel Image Classification.
IEEE Trans. Image Process., 2016

Conditional Graphical Lasso for Multi-label Image Classification.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Random Mixed Field Model for Mixed-Attribute Data Restoration.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Robust Nonnegative Patch Alignment for Dimensionality Reduction.
IEEE Trans. Neural Networks Learn. Syst., 2015

2014
Local Metric Learning for Exemplar-Based Object Detection.
IEEE Trans. Circuits Syst. Video Technol., 2014


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