Qingyang Li - RankMe

46 papers A* 6B 2C 3Misc 1Journal 22Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	SPPD: Self-training with Process Preference Learning Using Dynamic Value Margin. EMNLP (Findings) Hao Yi, Qingyang Li, Yulan Hu, Fuzheng Zhang, Di Zhang, Yong Liu
2025	J	`jnl`	SPPD: Self-training with Process Preference Learning Using Dynamic Value Margin. CoRR Hao Yi, Qingyang Li, Yulan Hu, Fuzheng Zhang, Di Zhang, Yong Liu
2025	—	`conf`	Towards Reward Fairness in RLHF: From a Resource Allocation Perspective. ACL (1) Sheng Ouyang, Yulan Hu, Ge Chen, Qingyang Li, Fuzheng Zhang, Yong Liu
2025	J	`jnl`	Towards Reward Fairness in RLHF: From a Resource Allocation Perspective. CoRR Sheng Ouyang, Yulan Hu, Ge Chen, Qingyang Li, Fuzheng Zhang, Yong Liu
2024	J	`jnl`	Fewer is more: efficient object detection in large aerial images. Sci. China Inf. Sci. Xingxing Xie, Gong Cheng, Qingyang Li, Shicheng Miao, Ke Li, Junwei Han
2024	—	`conf`	Just Ask One More Time! Self-Agreement Improves Reasoning of Language Models in (Almost) All Scenarios. ACL (Findings) Lei Lin, Jia-Yi Fu, Pengli Liu, Qingyang Li, Yan Gong, Junchen Wan, Fuzheng Zhang, Zhongyuan Wang, Di Zhang, Kun Gai
2024	J	`jnl`	TSO: Self-Training with Scaled Preference Optimization. CoRR Kaihui Chen, Hao Yi, Qingyang Li, Tianyu Qi, Yulan Hu, Fuzheng Zhang, Yong Liu
2024	J	`jnl`	Towards Comprehensive Preference Data Collection for Reward Modeling. CoRR Yulan Hu, Qingyang Li, Sheng Ouyang, Ge Chen, Kaihui Chen, Lijun Mei, Xucheng Ye, Fuzheng Zhang, Yong Liu
2024	J	`jnl`	Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models. CoRR Hao Yi, Qingyang Li, Yulan Hu, Fuzheng Zhang, Di Zhang, Yong Liu
2023	J	`jnl`	Offline Model-Based Adaptable Policy Learning for Decision-Making in Out-of-Support Regions. IEEE Trans. Pattern Anal. Mach. Intell. Xiong-Hui Chen, Fan-Ming Luo, Yang Yu, Qingyang Li, Zhiwei Qin, Wenjie Shang, Jieping Ye
2023	J	`jnl`	SFRNet: Fine-Grained Oriented Object Recognition via Separate Feature Refinement. IEEE Trans. Geosci. Remote. Sens. Gong Cheng, Qingyang Li, Guangxing Wang, Xingxing Xie, Lingtong Min, Junwei Han
2023	A*	`conf`	Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems. ICDE Xiong-Hui Chen, Bowei He, Yang Yu, Qingyang Li, Zhiwei Tony Qin, Wenjie Shang, Jieping Ye, Chen Ma
2023	J	`jnl`	Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems. CoRR Xiong-Hui Chen, Bowei He, Yang Yu, Qingyang Li, Zhiwei Tony Qin, Wenjie Shang, Jieping Ye, Chen Ma
2022	C	`conf`	Dynamic Proposal Generation for Oriented Object Detection in Aerial Images. IGARSS Qingyang Li, Gong Cheng, Shicheng Miao, Lei Pei
2022	J	`jnl`	Fewer is More: Efficient Object Detection in Large Aerial Images. CoRR Xingxing Xie, Gong Cheng, Qingyang Li, Shicheng Miao, Ke Li, Junwei Han
2022	B	`conf`	Multiple Tiered Treatments Optimization with Causal Inference on Response Distribution. IEEE Big Data Tao Huang, Qingyang Li, Zhiwei Qin
2022	C	`conf`	Precise Vertex Regression and Feature Decoupling for Oriented Object Detection. IGARSS Shicheng Miao, Gong Cheng, Qingyang Li, Lei Pei
2022	J	`jnl`	Spatio-temporal Incentives Optimization for Ride-hailing Services with Offline Deep Reinforcement Learning. CoRR Yanqiu Wu, Qingyang Li, Zhiwei Tony Qin
2021	J	`jnl`	Multi-Resemblance Multi-Target Low-Rank Coding for Prediction of Cognitive Decline With Longitudinal Brain Images. IEEE Trans. Medical Imaging Jie Zhang, Jianfeng Wu, Qingyang Li, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang
2021	C	`conf`	Multi-Scale Bidirectional Feature Fusion for One-Stage Oriented Object Detection in Aerial Images. IGARSS Lei Pei, Gong Cheng, Xuxiang Sun, Qingyang Li, Meili Zhang, Shicheng Miao
2021	A*	`conf`	Offline Model-based Adaptable Policy Learning. NeurIPS Xiong-Hui Chen, Yang Yu, Qingyang Li, Fan-Ming Luo, Zhiwei (Tony) Qin, Wenjie Shang, Jieping Ye
2021	J	`jnl`	Partially observable environment estimation with uplift inference for reinforcement learning based recommendation. Mach. Learn. Wenjie Shang, Qingyang Li, Zhiwei (Tony) Qin, Yang Yu, Yiping Meng, Jieping Ye
2021	J	`jnl`	Predicting Future Cognitive Decline with Hyperbolic Stochastic Coding. CoRR 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
2021	J	`jnl`	Predicting future cognitive decline with hyperbolic stochastic coding. Medical Image Anal. 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
2020	A*	`conf`	Hierarchical Adaptive Contextual Bandits for Resource Constraint based Recommendation. WWW Mengyue Yang, Qingyang Li, Zhiwei (Tony) Qin, Jieping Ye
2020	J	`jnl`	Hierarchical Adaptive Contextual Bandits for Resource Constraint based Recommendation. CoRR Mengyue Yang, Qingyang Li, Zhiwei (Tony) Qin, Jieping Ye
2019	A*	`conf`	Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation. KDD Wenjie Shang, Yang Yu, Qingyang Li, Zhiwei (Tony) Qin, Yiping Meng, Jieping Ye
2019	J	`jnl`	Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation. CoRR Wenjie Shang, Yang Yu, Qingyang Li, Zhiwei (Tony) Qin, Yiping Meng, Jieping Ye
2019	—	`conf`	Multi-task Dictionary Learning Based on Convolutional Neural Networks for Longitudinal Clinical Score Predictions in Alzheimer's Disease. HBAI@IJCAI Qunxi Dong, Jie Zhang, Qingyang Li, Paul M. Thompson, Richard J. Caselli, Jieping Ye, Yalin Wang
2018	—	`conf`	Multi-task sparse screening for predicting future clinical scores using longitudinal cortical thickness measures. ISBI Jie Zhang, Yanshuai Tu, Qingyang Li, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang
2017	—	`conf`	Empowering cortical thickness measures in clinical diagnosis of Alzheimer's disease with spherical sparse coding. ISBI Jie Zhang, Yonghui Fan, Qingyang Li, Paul M. Thompson, Jieping Ye, Yalin Wang
2017	J	`jnl`	Large-scale Feature Selection of Risk Genetic Factors for Alzheimer's Disease via Distributed Group Lasso Regression. CoRR Qingyang Li, Dajiang Zhu, Jie Zhang, Derrek Paul Hibar, Neda Jahanshad, Yalin Wang, Jieping Ye, Paul M. Thompson, Jie Wang
2017	—	`conf`	Multi-source Multi-target Dictionary Learning for Prediction of Cognitive Decline. IPMI Jie Zhang, Qingyang Li, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang
2017	J	`jnl`	Multi-task Dictionary Learning based Convolutional Neural Network for Computer aided Diagnosis with Longitudinal Images. CoRR Jie Zhang, Qingyang Li, Richard J. Caselli, Jieping Ye, Yalin Wang
2017	—	`—`	Scaling Up Large-scale Sparse Learning and Its Application to Medical Imaging. Qingyang Li
2017	J	`jnl`	Task fMRI data analysis based on supervised stochastic coordinate coding. Medical Image Anal. 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
2016	—	`conf`	Applying sparse coding to surface multivariate tensor-based morphometry to predict future cognitive decline. ISBI 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
2016	—	`conf`	Hyperbolic Space Sparse Coding with Its Application on Prediction of Alzheimer's Disease in Mild Cognitive Impairment. MICCAI (1) 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
2016	—	`conf`	Large-Scale Collaborative Imaging Genetics Studies of Risk Genetic Factors for Alzheimer's Disease Across Multiple Institutions. MICCAI (1) Qingyang Li, Tao Yang, Liang Zhan, Derrek P. Hibar, Neda Jahanshad, Yalin Wang, Jieping Ye, Paul M. Thompson, Jie Wang
2016	J	`jnl`	Large-scale Collaborative Imaging Genetics Studies of Risk Genetic Factors for Alzheimer's Disease Across Multiple Institutions. CoRR Qingyang Li, Tao Yang, Liang Zhan, Derrek P. Hibar, Neda Jahanshad, Yalin Wang, Jieping Ye, Paul M. Thompson, Jie Wang
2016	A*	`conf`	Parallel Lasso Screening for Big Data Optimization. KDD Qingyang Li, Shuang Qiu, Shuiwang Ji, Paul M. Thompson, Jieping Ye, Jie Wang
2015	Misc	`conf`	Melancholic Depression Prediction by Identifying Representative Features in Metabolic and Microarray Profiles with Missing Values. Pacific Symposium on Biocomputing Zhi Nie, Tao Yang, Yashu Liu, Binbin Lin, Qingyang Li, Vaibhav A. Narayan, Gayle M. Wittenberg, Jieping Ye
2014	A*	`conf`	A Highly Scalable Parallel Algorithm for Isotropic Total Variation Models. ICML Jie Wang, Qingyang Li, Sen Yang, Wei Fan, Peter Wonka, Jieping Ye
2014	J	`jnl`	Stochastic Coordinate Coding and Its Application for Drosophila Gene Expression Pattern Annotation. CoRR Binbin Lin, Qingyang Li, Qian Sun, Ming-Jun Lai, Ian Davidson, Wei Fan, Jieping Ye
2013	B	`conf`	Adaptive Fault Detection for Testing Tenant Applications in Multi-tenancy SaaS Systems. IC2E Wei-Tek Tsai, Qingyang Li, Charles J. Colbourn, Xiaoying Bai
2013	—	`conf`	Test algebra for combinatorial testing. AST@ICSE Wei-Tek Tsai, Charles J. Colbourn, Jie Luo, Guanqiu Qi, Qingyang Li, Xiaoying Bai