default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDQingyang Li 0001
Person information
- affiliation: Kuaishou Technology, Beijing, China
- affiliation: DiDi Labs, Mountain View, CA, USA
- affiliation (PhD 2017): Arizona State University, School of Computing, Informatics, and Decision Systems Engineering, Tempe, AZ, USA
Other persons with the same name
- Qingyang Li — disambiguation page
- Qingyang Li 0002
![[0000-0003-1066-2350]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-1066-2350")
— Xidian University, School of Computer Science and Technology, Xi'an, China (and 1 more) - Qingyang Li 0003 — Xi'an Jiaotong University, Faculty of Electronic and Information Engineering, Xi'an, China
- Qingyang Li 0004 — Child Mind Institute, Center for the Developing Brain, New York, NY, USA (and 1 more)
- Qingyang Li 0005 — China University of Petroleum (East China), Qingdao, China
- Qingyang Li 0006 — Nanjing University, Nanjing, China
- Qingyang Li 0007 — Ocean University of China, Qingdao, China
- Qingyang Li 0008 — Capital Normal University, Beijing, China
- Qingyang Li 0009 — Capital Normal University, Beijing, China
- Qingyang Li 0010 — Peking University, China
- Qingyang Li 0011 — Harbin Institute of Technology, Harbin, China
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2025
[c22]Sheng Ouyang, Yulan Hu, Ge Chen, Qingyang Li, Fuzheng Zhang, Yong Liu:
Towards Reward Fairness in RLHF: From a Resource Allocation Perspective. ACL (1) 2025: 3247-3259- [i15]Hao Yi, Qingyang Li, Yulan Hu, Fuzheng Zhang, Di Zhang, Yong Liu:
SPPD: Self-training with Process Preference Learning Using Dynamic Value Margin. CoRR abs/2502.13516 (2025) - [i14]Sheng Ouyang, Yulan Hu, Ge Chen, Qingyang Li, Fuzheng Zhang, Yong Liu:
Towards Reward Fairness in RLHF: From a Resource Allocation Perspective. CoRR abs/2505.23349 (2025) - 2024
- [j7]Xingxing Xie, Gong Cheng, Qingyang Li, Shicheng Miao, Ke Li, Junwei Han:
Fewer is more: efficient object detection in large aerial images. Sci. China Inf. Sci. 67(1) (2024) - [c21]Lei Lin, Jia-Yi Fu, Pengli Liu, Qingyang Li, Yan Gong, Junchen Wan, Fuzheng Zhang, Zhongyuan Wang, Di Zhang, Kun Gai:
Just Ask One More Time! Self-Agreement Improves Reasoning of Language Models in (Almost) All Scenarios. ACL (Findings) 2024: 3829-3852 - [i13]Yulan Hu, Qingyang Li, Sheng Ouyang, Ge Chen, Kaihui Chen, Lijun Mei, Xucheng Ye, Fuzheng Zhang, Yong Liu:
Towards Comprehensive Preference Data Collection for Reward Modeling. CoRR abs/2406.16486 (2024) - [i12]Kaihui Chen, Hao Yi, Qingyang Li, Tianyu Qi, Yulan Hu, Fuzheng Zhang, Yong Liu:
TSO: Self-Training with Scaled Preference Optimization. CoRR abs/2409.02118 (2024) - [i11]Hao Yi, Qingyang Li, Yulan Hu, Fuzheng Zhang, Di Zhang, Yong Liu:
Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models. CoRR abs/2411.16201 (2024) - 2023
- [j6]Xiong-Hui Chen, Fan-Ming Luo, Yang Yu, Qingyang Li, Zhiwei Qin, Wenjie Shang, Jieping Ye:
Offline Model-Based Adaptable Policy Learning for Decision-Making in Out-of-Support Regions. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15260-15274 (2023) - [j5]Gong Cheng, Qingyang Li, Guangxing Wang, Xingxing Xie, Lingtong Min, Junwei Han:
SFRNet: Fine-Grained Oriented Object Recognition via Separate Feature Refinement. IEEE Trans. Geosci. Remote. Sens. 61: 1-10 (2023) - [c20]Xiong-Hui Chen, Bowei He, Yang Yu, Qingyang Li, Zhiwei Tony Qin, Wenjie Shang, Jieping Ye, Chen Ma:
Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems. ICDE 2023: 3389-3402 - [i10]Xiong-Hui Chen, Bowei He, Yang Yu, Qingyang Li, Zhiwei Tony Qin, Wenjie Shang, Jieping Ye, Chen Ma:
Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems. CoRR abs/2305.04832 (2023) - 2022
- [c19]Tao Huang, Qingyang Li, Zhiwei Qin:
Multiple Tiered Treatments Optimization with Causal Inference on Response Distribution. IEEE Big Data 2022: 962-971 - [c18]Qingyang Li, Gong Cheng, Shicheng Miao, Lei Pei:
Dynamic Proposal Generation for Oriented Object Detection in Aerial Images. IGARSS 2022: 3107-3110 - [c17]Shicheng Miao, Gong Cheng, Qingyang Li, Lei Pei:
Precise Vertex Regression and Feature Decoupling for Oriented Object Detection. IGARSS 2022: 3111-3114 - [i9]Yanqiu Wu, Qingyang Li, Zhiwei Tony Qin:
Spatio-temporal Incentives Optimization for Ride-hailing Services with Offline Deep Reinforcement Learning. CoRR abs/2211.03240 (2022) - [i8]Xingxing Xie, Gong Cheng, Qingyang Li, Shicheng Miao, Ke Li, Junwei Han:
Fewer is More: Efficient Object Detection in Large Aerial Images. CoRR abs/2212.13136 (2022) - 2021
- [j4]Jie Zhang, Qunxi Dong, Jie Shi, Qingyang Li, Cynthia M. Stonnington, Boris A. Gutman, Kewei Chen, Eric M. Reiman, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang:
Predicting future cognitive decline with hyperbolic stochastic coding. Medical Image Anal. 70: 102009 (2021) - [j3]Wenjie Shang, Qingyang Li, Zhiwei (Tony) Qin, Yang Yu, Yiping Meng, Jieping Ye:
Partially observable environment estimation with uplift inference for reinforcement learning based recommendation. Mach. Learn. 110(9): 2603-2640 (2021) - [j2]Jie Zhang, Jianfeng Wu, Qingyang Li, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang:
Multi-Resemblance Multi-Target Low-Rank Coding for Prediction of Cognitive Decline With Longitudinal Brain Images. IEEE Trans. Medical Imaging 40(8): 2030-2041 (2021) - [c16]Lei Pei, Gong Cheng, Xuxiang Sun, Qingyang Li, Meili Zhang, Shicheng Miao:
Multi-Scale Bidirectional Feature Fusion for One-Stage Oriented Object Detection in Aerial Images. IGARSS 2021: 2592-2595 - [c15]Xiong-Hui Chen, Yang Yu, Qingyang Li, Fan-Ming Luo, Zhiwei (Tony) Qin, Wenjie Shang, Jieping Ye:
Offline Model-based Adaptable Policy Learning. NeurIPS 2021: 8432-8443 - [i7]Jie Zhang, Qunxi Dong, Jie Shi, Qingyang Li, Cynthia M. Stonnington, Boris A. Gutman, Kewei Chen, Eric M. Reiman, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang:
Predicting Future Cognitive Decline with Hyperbolic Stochastic Coding. CoRR abs/2102.10503 (2021) - 2020
- [c14]Mengyue Yang, Qingyang Li, Zhiwei (Tony) Qin, Jieping Ye:
Hierarchical Adaptive Contextual Bandits for Resource Constraint based Recommendation. WWW 2020: 292-302 - [i6]Mengyue Yang, Qingyang Li, Zhiwei (Tony) Qin, Jieping Ye:
Hierarchical Adaptive Contextual Bandits for Resource Constraint based Recommendation. CoRR abs/2004.01136 (2020)
2010 – 2019
- 2019
- [c13]Qunxi Dong, Jie Zhang, Qingyang Li, Paul M. Thompson, Richard J. Caselli, Jieping Ye, Yalin Wang:
Multi-task Dictionary Learning Based on Convolutional Neural Networks for Longitudinal Clinical Score Predictions in Alzheimer's Disease. HBAI@IJCAI 2019: 21-35 - [c12]Wenjie Shang, Yang Yu, Qingyang Li, Zhiwei (Tony) Qin, Yiping Meng, Jieping Ye:
Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation. KDD 2019: 566-576 - [i5]Wenjie Shang, Yang Yu, Qingyang Li, Zhiwei (Tony) Qin, Yiping Meng, Jieping Ye:
Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation. CoRR abs/1907.06584 (2019) - 2018
- [c11]Jie Zhang, Yanshuai Tu, Qingyang Li, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang:
Multi-task sparse screening for predicting future clinical scores using longitudinal cortical thickness measures. ISBI 2018: 1406-1410 - 2017
- [b1]Qingyang Li:
Scaling Up Large-scale Sparse Learning and Its Application to Medical Imaging. Arizona State University, Tempe, USA, 2017 - [j1]Jinglei Lv, Binbin Lin, Qingyang Li, Wei Zhang, Yu Zhao, Xi Jiang, Lei Guo, Junwei Han, Xintao Hu, Christine Cong Guo, Jieping Ye, Tianming Liu:
Task fMRI data analysis based on supervised stochastic coordinate coding. Medical Image Anal. 38: 1-16 (2017) - [c10]Jie Zhang, Qingyang Li, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang:
Multi-source Multi-target Dictionary Learning for Prediction of Cognitive Decline. IPMI 2017: 184-197 - [c9]Jie Zhang, Yonghui Fan, Qingyang Li, Paul M. Thompson, Jieping Ye, Yalin Wang:
Empowering cortical thickness measures in clinical diagnosis of Alzheimer's disease with spherical sparse coding. ISBI 2017: 446-450 - [i4]Qingyang Li, Dajiang Zhu, Jie Zhang, Derrek Paul Hibar, Neda Jahanshad, Yalin Wang, Jieping Ye, Paul M. Thompson, Jie Wang:
Large-scale Feature Selection of Risk Genetic Factors for Alzheimer's Disease via Distributed Group Lasso Regression. CoRR abs/1704.08383 (2017) - [i3]Jie Zhang, Qingyang Li, Richard J. Caselli, Jieping Ye, Yalin Wang:
Multi-task Dictionary Learning based Convolutional Neural Network for Computer aided Diagnosis with Longitudinal Images. CoRR abs/1709.00042 (2017) - 2016
- [c8]Jie Zhang, Cynthia M. Stonnington, Qingyang Li, Jie Shi, Robert J. Bauer, Boris A. Gutman, Kewei Chen, Eric M. Reiman, Paul M. Thompson, Jieping Ye, Yalin Wang:
Applying sparse coding to surface multivariate tensor-based morphometry to predict future cognitive decline. ISBI 2016: 646-650 - [c7]Qingyang Li, Shuang Qiu, Shuiwang Ji, Paul M. Thompson, Jieping Ye, Jie Wang:
Parallel Lasso Screening for Big Data Optimization. KDD 2016: 1705-1714 - [c6]Jie Zhang, Jie Shi, Cynthia M. Stonnington, Qingyang Li, Boris A. Gutman, Kewei Chen, Eric M. Reiman, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang:
Hyperbolic Space Sparse Coding with Its Application on Prediction of Alzheimer's Disease in Mild Cognitive Impairment. MICCAI (1) 2016: 326-334 - [c5]Qingyang Li, Tao Yang, Liang Zhan, Derrek P. Hibar, Neda Jahanshad, Yalin Wang, Jieping Ye, Paul M. Thompson, Jie Wang:
Large-Scale Collaborative Imaging Genetics Studies of Risk Genetic Factors for Alzheimer's Disease Across Multiple Institutions. MICCAI (1) 2016: 335-343 - [i2]Qingyang Li, Tao Yang, Liang Zhan, Derrek P. Hibar, Neda Jahanshad, Yalin Wang, Jieping Ye, Paul M. Thompson, Jie Wang:
Large-scale Collaborative Imaging Genetics Studies of Risk Genetic Factors for Alzheimer's Disease Across Multiple Institutions. CoRR abs/1608.07251 (2016) - 2015
- [c4]Zhi Nie, Tao Yang, Yashu Liu, Binbin Lin, Qingyang Li, Vaibhav A. Narayan, Gayle M. Wittenberg, Jieping Ye:
Melancholic Depression Prediction by Identifying Representative Features in Metabolic and Microarray Profiles with Missing Values. Pacific Symposium on Biocomputing 2015: 455-466 - 2014
- [c3]Jie Wang, Qingyang Li, Sen Yang, Wei Fan, Peter Wonka, Jieping Ye:
A Highly Scalable Parallel Algorithm for Isotropic Total Variation Models. ICML 2014: 235-243 - [i1]Binbin Lin, Qingyang Li, Qian Sun, Ming-Jun Lai, Ian Davidson, Wei Fan, Jieping Ye:
Stochastic Coordinate Coding and Its Application for Drosophila Gene Expression Pattern Annotation. CoRR abs/1407.8147 (2014) - 2013
- [c2]Wei-Tek Tsai, Qingyang Li, Charles J. Colbourn, Xiaoying Bai:
Adaptive Fault Detection for Testing Tenant Applications in Multi-tenancy SaaS Systems. IC2E 2013: 183-192 - [c1]Wei-Tek Tsai, Charles J. Colbourn, Jie Luo, Guanqiu Qi, Qingyang Li, Xiaoying Bai:
Test algebra for combinatorial testing. AST@ICSE 2013: 19-25
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-11-11 03:36 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
