Qingyang Li
Orcid: 0000-0001-6650-2343Affiliations:
- Kuaishou Technology, Beijing, China
- DiDi Labs, Mountain View, CA, USA
- Arizona State University, School of Computing, Informatics, and Decision Systems Engineering, Tempe, AZ, USA (PhD 2017)
According to our database1,
Qingyang Li
authored at least 38 papers
between 2013 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on linkedin.com
-
on orcid.org
-
on github.com
On csauthors.net:
Bibliography
2025
CoRR, February, 2025
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
2024
Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models.
CoRR, 2024
Sci. China Inf. Sci., 2024
Just Ask One More Time! Self-Agreement Improves Reasoning of Language Models in (Almost) All Scenarios.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
Offline Model-Based Adaptable Policy Learning for Decision-Making in Out-of-Support Regions.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023
IEEE Trans. Geosci. Remote. Sens., 2023
Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
2022
Spatio-temporal Incentives Optimization for Ride-hailing Services with Offline Deep Reinforcement Learning.
CoRR, 2022
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Multiple Tiered Treatments Optimization with Causal Inference on Response Distribution.
Proceedings of the IEEE International Conference on Big Data, 2022
2021
Multi-Resemblance Multi-Target Low-Rank Coding for Prediction of Cognitive Decline With Longitudinal Brain Images.
IEEE Trans. Medical Imaging, 2021
Partially observable environment estimation with uplift inference for reinforcement learning based recommendation.
Mach. Learn., 2021
Medical Image Anal., 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Multi-Scale Bidirectional Feature Fusion for One-Stage Oriented Object Detection in Aerial Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
Hierarchical Adaptive Contextual Bandits for Resource Constraint based Recommendation.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
2019
Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Multi-task Dictionary Learning Based on Convolutional Neural Networks for Longitudinal Clinical Score Predictions in Alzheimer's Disease.
Proceedings of the Human Brain and Artificial Intelligence - First International Workshop, 2019
2018
Multi-task sparse screening for predicting future clinical scores using longitudinal cortical thickness measures.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
PhD thesis, 2017
Medical Image Anal., 2017
Multi-task Dictionary Learning based Convolutional Neural Network for Computer aided Diagnosis with Longitudinal Images.
CoRR, 2017
Large-scale Feature Selection of Risk Genetic Factors for Alzheimer's Disease via Distributed Group Lasso Regression.
CoRR, 2017
Empowering cortical thickness measures in clinical diagnosis of Alzheimer's disease with spherical sparse coding.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Proceedings of the Information Processing in Medical Imaging, 2017
2016
Large-Scale Collaborative Imaging Genetics Studies of Risk Genetic Factors for Alzheimer's Disease Across Multiple Institutions.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Hyperbolic Space Sparse Coding with Its Application on Prediction of Alzheimer's Disease in Mild Cognitive Impairment.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Applying sparse coding to surface multivariate tensor-based morphometry to predict future cognitive decline.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
2015
Melancholic Depression Prediction by Identifying Representative Features in Metabolic and Microarray Profiles with Missing Values.
Proceedings of the Biocomputing 2015: Proceedings of the Pacific Symposium, 2015
2014
Stochastic Coordinate Coding and Its Application for Drosophila Gene Expression Pattern Annotation.
CoRR, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
2013
Proceedings of the 8th International Workshop on Automation of Software Test, 2013
Adaptive Fault Detection for Testing Tenant Applications in Multi-tenancy SaaS Systems.
Proceedings of the 2013 IEEE International Conference on Cloud Engineering, 2013