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Qingyang 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
— 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
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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

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last updated on 2025-11-11 03:36 CET by the dblp team
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