Qiang Li

Affiliations:
  • Alibaba Group, China
  • SenseTime Research, China (2023 - 2024)
  • Kuaishou Technology, Y-tech, Beijing, China (2018 - 2023)
  • University of Technology Sydney, School of Software, Australia (PhD 2018)


According to our database1, Qiang Li authored at least 30 papers between 2013 and 2025.

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

Timeline

Legend:

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Article 
PhD thesis 
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Online presence:

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Bibliography

2025
Pangu Ultra: Pushing the Limits of Dense Large Language Models on Ascend NPUs.
CoRR, April, 2025

CFinBench: A Comprehensive Chinese Financial Benchmark for Large Language Models.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

2024
SED: Searching Enhanced Decoder with switchable skip connection for semantic segmentation.
Pattern Recognit., 2024

2023
Pyramid Geometric Consistency Learning For Semantic Segmentation.
Pattern Recognit., 2023

LiftedCL: Lifting Contrastive Learning for Human-Centric Perception.
Proceedings of the Eleventh International Conference on Learning Representations, 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

End-to-end Hand Mesh Recovery from a Monocular RGB Image.
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

2013
Combination of Diverse Ranking Models for Personalized Expedia Hotel Searches.
CoRR, 2013


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