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ORCIDLi-Zhen Cui 0001
Lizhen Cui 0001
Person information
- affiliation: Shandong University, School of Software, Jinan, China
- affiliation: Shandong University-Nanyang Technological University (SDU-NTU), Centre for Artificial Intelligence Research (C-FAIR), Jinan, China
- affiliation (PhD 2005): Shandong University, Jinan, China
Other persons with the same name
- Li-Zhen Cui (aka: Li-zhen Cui, Lizhen Cui) — disambiguation page
- Li-Zhen Cui 0002
![[0000-0003-4977-7577]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-4977-7577")
(aka: Lizhen Cui 0002) — University of Chinese Academy of Sciences (UCAS), College of Life Sciences, Beijing, China (and 1 more)
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2020 – today
- 2025
[j51]Yiping Li, Wei He, Lizhen Cui, Yonghui Xu, Wei Guo, Zhen Feng:
A capsule-based reinforcement learning framework for supply-demand matching in mobile crowdsourcing. Expert Syst. Appl. 267: 126203 (2025)- [j50]Deyu Zhou, Xiao Xue, Qun Ma, Chao Guo, Li-Zhen Cui, Yonglin Tian, Jing Yang, Fei-Yue Wang:
Federated Experiments: Generative Causal Inference Powered by LLM-Based Agents Simulation and RAG-Based Domain Docking. IEEE CAA J. Autom. Sinica 12(7): 1301-1304 (2025) - [j49]Tong Ding, Lei Liu, Zhongmin Yan, Lizhen Cui:
Enhancing Sustainable Data Collection With Unmanned Aerial Vehicles: A Deep Reinforcement Learning Approach. IEEE Internet Things J. 12(5): 4657-4666 (2025) - [j48]Zhiheng Liu, Hongtao Lv, Xiangyu Liu, Chenhao Ma, Fan Wu, Lei Liu, Lizhen Cui:
Similarity and Diversity: PCA-Based Contribution Evaluation in Federated Learning. IEEE Internet Things J. 12(12): 20393-20405 (2025) - [j47]Dongxiao Yu, Yuan Yuan, Yifei Zou, Xiao Zhang, Yu Liu, Lizhen Cui, Xiuzhen Cheng:
Pruning-Based Adaptive Federated Learning at the Edge. IEEE Trans. Computers 74(5): 1538-1548 (2025) - [j46]Chang'an Yi, Haotian Chen, Yifan Zhang, Yonghui Xu, Yan Zhou, Lizhen Cui, Han Yu:
FDAC: Federated Domain Adaptation via Dual Contrastive Learning. IEEE Trans. Circuits Syst. Video Technol. 35(7): 6948-6960 (2025) - [j45]Xiaoqiang Gui, Guoxian Yu, Jun Wang, Zhongmin Yan, Wei Wang, Carlotta Domeniconi, Lizhen Cui:
Sophon: Byzantine-Robust Federated Learning via Dual Trust Mechanism. IEEE Trans. Dependable Secur. Comput. 22(6): 5906-5917 (2025) - [j44]Yiran Li, Yankun Cao, Xiaoxiao Cui, Yuezhong Zhang, Subhas Chandra Mukhopadhyay, Yujun Li, Lizhen Cui, Zhi Liu, Shuo Li:
Semantic Consistency-Guided Hybrid-Invariant Transformer for Domain Adaptation in Multiview Echo Quality Assessment. IEEE Trans. Instrum. Meas. 74: 1-19 (2025) - [j43]Zhe Qu, Taihua Chen, Xin Zhou, Fanglin Zhu, Wei Guo, Yonghui Xu, Yixin Zhang, Lizhen Cui:
Multi-Modal Disease Prediction With Hierarchical Self-Supervised Learning. IEEE J. Biomed. Health Informatics 29(10): 7057-7067 (2025) - [j42]Hanqing Chen, Shuai Ma, Junfeng Liu, Lizhen Cui:
Discovery of Temporal Network Motifs. IEEE Trans. Knowl. Data Eng. 37(5): 2376-2390 (2025) - [j41]Yibowen Zhao, Yonghui Xu, Di Wang, Yixin Zhang, Qingzhong Li, Lizhen Cui:
A Multi-Objective Explanation Framework for Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 37(12): 6765-6781 (2025) - [j40]Guangrong Zhao, Yiran Shen, Feng Li, Lei Liu, Lizhen Cui, Hongkai Wen:
Ui-Ear: On-Face Gesture Recognition Through On-Ear Vibration Sensing. IEEE Trans. Mob. Comput. 24(3): 1482-1495 (2025) - [j39]Zehua Sun, Yonghui Xu, Yong Liu, Wei He, Lanju Kong, Fangzhao Wu, Yali Jiang, Lizhen Cui:
A Survey on Federated Recommendation Systems. IEEE Trans. Neural Networks Learn. Syst. 36(1): 6-20 (2025) - [j38]Lei Meng, Zhuang Qi, Lei Wu, Xiaoyu Du, Zhaochuan Li, Lizhen Cui, Xiangxu Meng:
Improving Global Generalization and Local Personalization for Federated Learning. IEEE Trans. Neural Networks Learn. Syst. 36(1): 76-87 (2025) - [j37]Lifeng Zhang, Xiangwei Zheng, Xuanchi Chen, Lizhen Cui:
Three-Dimensional View Relationship-Based Context-Aware Emotion Recognition. IEEE Trans. Neural Networks Learn. Syst. 36(7): 13567-13578 (2025) - [j36]Hung Vinh Tran, Tong Chen, Nguyen Quoc Viet Hung, Zi Huang, Lizhen Cui, Hongzhi Yin:
A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems. ACM Trans. Inf. Syst. 43(3): 63:1-63:32 (2025) - [c17]Xirong Ma, Junling Fang, Chunpeng Ge, Dung Hoang Duong, Yali Jiang, Yanbin Li, Willy Susilo, Lizhen Cui:
New Permutation Decomposition Techniques for Efficient Homomorphic Permutation. CCS 2025: 1068-1082 - [c16]Yiming Cao, Zhen Li, Lizhen Cui, Chunyan Miao:
Adaptive Human-LLMs Interaction Collaboration: Reinforcement Learning driven Vision-Language Models for Medical Report Generation. CHI Extended Abstracts 2025: 62:1-62:6 - [c15]Helin Wang, Wei Du, Ning Liu, Qian Li, Yanyu Xu, Lizhen Cui:
AdaHet-MKD: An Adaptive Heterogeneous Multi-teacher Knowledge Distillation for Medical Image Analysis. CIKM 2025: 2977-2986 - [c14]Yuchuan Zhao, Tong Chen, Junliang Yu, Kai Zheng, Lizhen Cui, Hongzhi Yin:
Diversity-aware Dual-promotion Poisoning Attack on Sequential Recommendation. SIGIR 2025: 1634-1644 - [c13]Wei Jiang, Tong Chen, Xinyi Gao, Wentao Zhang, Lizhen Cui, Hongzhi Yin:
Epidemiology-informed Network for Robust Rumor Detection. WWW 2025: 3618-3627 - 2024
- [j35]Daoguang Zan, Ailun Yu, Bo Shen, Bei Chen, Wei Li, Yongshun Gong, Xiaolin Chen, Yafen Yao, Weihua Luo, Bei Guan, Yan Liu, Yongji Wang, Qianxiang Wang, Lizhen Cui:
DiffCoder: Enhancing Large Language Model on API Invocation via Analogical Code Exercises. Proc. ACM Softw. Eng. 1(FSE): 406-426 (2024) - [j34]Haoran Shi, Yonghui Xu, Yali Jiang, Han Yu, Lizhen Cui:
Efficient Asynchronous Multi-Participant Vertical Federated Learning. IEEE Trans. Big Data 10(6): 940-952 (2024) - [j33]Yuan Yuan, Shuzhen Chen, Dongxiao Yu, Zengrui Zhao, Yifei Zou, Lizhen Cui, Xiuzhen Cheng:
Distributed Learning for Large-Scale Models at Edge With Privacy Protection. IEEE Trans. Computers 73(4): 1060-1070 (2024) - [j32]Zhihong Cui, Xiangguo Sun, Hongxu Chen, Li Pan, Lizhen Cui, Shijun Liu, Guandong Xu:
Dynamic Recommendation Based on Graph Diffusion and Ebbinghaus Curve. IEEE Trans. Comput. Soc. Syst. 11(2): 2755-2764 (2024) - [j31]Yankun Cao, Wenzhen Zhang, Yuezhong Zhang, Guanjie Sun, Wei Guo, Mingjie Shao, Subhas Chandra Mukhopadhyay, Lizhen Cui, Yujun Li, Zhi Liu, Shuo Li:
CMAR: A Pipeline for Cross-Modal Alignment and 3-D Reconstruction of Coronary Arteries Based on Key Bifurcation Vessel Measurements. IEEE Trans. Instrum. Meas. 73: 1-14 (2024) - [j30]Xuhui Ren, Tong Chen, Quoc Viet Hung Nguyen, Lizhen Cui, Zi Huang, Hongzhi Yin:
Explicit Knowledge Graph Reasoning for Conversational Recommendation. ACM Trans. Intell. Syst. Technol. 15(4): 86:1-86:21 (2024) - [j29]Fanglin Zhu, Xu Zhang, Batuo Zhang, Yonghui Xu, Lizhen Cui:
Medicine Package Recommendation via Dual-Level Interaction Aware Heterogeneous Graph. IEEE J. Biomed. Health Informatics 28(4): 2294-2303 (2024) - [j28]Lei Zhang, Yong Liu, Zhiwei Zeng, Yiming Cao, Xingyu Wu, Yonghui Xu, Zhiqi Shen, Lizhen Cui:
Package Arrival Time Prediction via Knowledge Distillation Graph Neural Network. ACM Trans. Knowl. Discov. Data 18(5): 108:1-108:19 (2024) - [j27]Junliang Yu, Xin Xia, Tong Chen, Lizhen Cui, Nguyen Quoc Viet Hung, Hongzhi Yin:
XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation. IEEE Trans. Knowl. Data Eng. 36(2): 913-926 (2024) - [j26]Yunfeng Zhao, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Maozu Guo, Xiangliang Zhang, Lizhen Cui:
Personalized Federated Few-Shot Learning. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2534-2544 (2024) - [j25]Tong Ding, Lei Liu, Zhongmin Yan, Lizhen Cui:
Umix: Sustainable Multi-UAV Coordination for Aerial-Terrestrial Networks. IEEE Trans. Netw. Sci. Eng. 11(6): 5190-5200 (2024) - [j24]Lu Bai, Ziwei Huang, Junyu Liu, Lizhen Cui, Min Sheng, Xiang Cheng:
A Mixed-Bouncing Based 6G Multi-UAV Integrated Channel Model With Consistency and Non-Stationarity. IEEE Trans. Wirel. Commun. 23(10): 13456-13470 (2024) - [c12]Wei Jiang, Tong Chen, Guanhua Ye, Wentao Zhang, Lizhen Cui, Zi Huang, Hongzhi Yin:
Physics-guided Active Sample Reweighting for Urban Flow Prediction. CIKM 2024: 1004-1014 - [c11]Yunsen Tang, Ning Liu, Haitao Yuan, Yonghe Yan, Lei Liu, Weixing Tan, Lizhen Cui:
LAMRec: Label-aware Multi-view Drug Recommendation. CIKM 2024: 2230-2239 - [c10]Yixin Zhang, Xin Zhou, Fanglin Zhu, Ning Liu, Wei Guo, Yonghui Xu, Zhiqi Shen, Lizhen Cui:
Multi-modal Food Recommendation with Health-aware Knowledge Distillation. CIKM 2024: 3279-3289 - [c9]Chang'an Yi, Haotian Chen, Yifan Zhang, Yonghui Xu, Yan Zhou, Lizhen Cui:
From Question to Exploration: Can Classic Test-Time Adaptation Strategies Be Effectively Applied in Semantic Segmentation? ACM Multimedia 2024: 10085-10094 - [c8]Xurong Liang, Tong Chen, Lizhen Cui, Yang Wang, Meng Wang, Hongzhi Yin:
Lightweight Embeddings for Graph Collaborative Filtering. SIGIR 2024: 1296-1306 - [c7]Liang Qu, Wei Yuan, Ruiqi Zheng, Lizhen Cui, Yuhui Shi, Hongzhi Yin:
Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation. WWW 2024: 3910-3918 - [c6]Ruiqi Zheng, Liang Qu, Tong Chen, Lizhen Cui, Yuhui Shi, Hongzhi Yin:
Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation. WWW 2024: 3930-3939 - 2023
- [j23]Xiaojing Yin, Jiwei Huang, Lei Liu, Wei He, Lizhen Cui:
An reinforcement learning approach for allocating software resources. Concurr. Comput. Pract. Exp. 35(14) (2023) - [j22]Xingze Wang, Guoxian Yu, Zhongmin Yan, Lin Wan, Wei Wang, Lizhen Cui:
Lung Cancer Subtype Diagnosis by Fusing Image-Genomics Data and Hybrid Deep Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 512-523 (2023) - [j21]Guanhua Ye, Tong Chen, Yawen Li, Lizhen Cui, Quoc Viet Hung Nguyen, Hongzhi Yin:
Heterogeneous Collaborative Learning for Personalized Healthcare Analytics via Messenger Distillation. IEEE J. Biomed. Health Informatics 27(11): 5249-5259 (2023) - [j20]Shaowei Jiang, Wei He, Lizhen Cui, Yonghui Xu, Lei Liu:
Modeling Long- and Short-Term User Preferences via Self-Supervised Learning for Next POI Recommendation. ACM Trans. Knowl. Discov. Data 17(9): 125:1-125:20 (2023) - [j19]Fuqiang Yu, Lizhen Cui, Huanhuan Chen, Yiming Cao, Ning Liu, Weiming Huang, Yonghui Xu, Hua Lu:
HealthNet: A Health Progression Network via Heterogeneous Medical Information Fusion. IEEE Trans. Neural Networks Learn. Syst. 34(10): 6940-6954 (2023) - [j18]Alysa Ziying Tan, Han Yu, Lizhen Cui, Qiang Yang:
Towards Personalized Federated Learning. IEEE Trans. Neural Networks Learn. Syst. 34(12): 9587-9603 (2023) - [j17]Lu Bai, Ziwei Huang, Lizhen Cui, Xiang Cheng:
A Non-Stationary Multi-UAV Cooperative Channel Model for 6G Massive MIMO mmWave Communications. IEEE Trans. Wirel. Commun. 22(12): 9233-9247 (2023) - [c5]Ziwei Huang, Lu Bai, Lizhen Cui, Tao Feng:
A Space-Time Non-Stationary and Consistent Model for 6G Multi-UAV Cooperative Channels. ICCC 2023: 1-6 - [c4]Yunke Qu, Tong Chen, Xiangyu Zhao, Lizhen Cui, Kai Zheng, Hongzhi Yin:
Continuous Input Embedding Size Search For Recommender Systems. SIGIR 2023: 708-717 - 2022
- [j16]Weiming Huang, Lizhen Cui, Meng Chen, Daokun Zhang, Yao Yao:
Estimating urban functional distributions with semantics preserved POI embedding. Int. J. Geogr. Inf. Sci. 36(10): 1905-1930 (2022) - [j15]Yanxiang Wang, Xian Zhang, Yiran Shen, Bowen Du, Guangrong Zhao, Lizhen Cui, Hongkai Wen:
Event-Stream Representation for Human Gaits Identification Using Deep Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44(7): 3436-3449 (2022) - [j14]Lu Bai, Ziwei Huang, Lizhen Cui, Tao Feng, Xiang Cheng:
A Mixed-Bouncing Based Non-Stationary Model for 6G Massive MIMO mmWave UAV Channels. IEEE Trans. Commun. 70(10): 7055-7069 (2022) - [j13]Shengfei Lyu, Jin Cheng, Xingyu Wu, Lizhen Cui, Huanhuan Chen, Chunyan Miao:
Auxiliary Learning for Relation Extraction. IEEE Trans. Emerg. Top. Comput. Intell. 6(1): 182-191 (2022) - [j12]Xiaoxiao Cui, Yankun Cao, Zhi Liu, Xiaoyu Sui, Jia Mi, Yuezhong Zhang, Lizhen Cui, Shuo Li:
TRSA-Net: Task Relation Spatial Co-Attention for Joint Segmentation, Quantification and Uncertainty Estimation on Paired 2D Echocardiography. IEEE J. Biomed. Health Informatics 26(8): 4067-4078 (2022) - [j11]Junliang Yu, Hongzhi Yin, Jundong Li, Min Gao, Zi Huang, Lizhen Cui:
Enhancing Social Recommendation With Adversarial Graph Convolutional Networks. IEEE Trans. Knowl. Data Eng. 34(8): 3727-3739 (2022) - [c3]Zhaoming Li, Wei He, Ning Liu, Yonghui Xu, Lizhen Cui, Kaiyuan Qi:
Balancing Supply and Demand for Mobile Crowdsourcing Services. ICSOC 2022: 285-299 - 2021
- [j10]Lizhen Cui, Jing Chen, Wei He, Hui Li, Wei Guo, Zhiyuan Su:
Achieving Approximate Global Optimization of Truth Inference for Crowdsourcing Microtasks. Data Sci. Eng. 6(3): 294-309 (2021) - [j9]Xiaojing Yin, Jiwei Huang, Wei He, Wei Guo, Han Yu, Lizhen Cui:
Group task allocation approach for heterogeneous software crowdsourcing tasks. Peer-to-Peer Netw. Appl. 14(3): 1736-1747 (2021) - [j8]Zhenchao Sun, Hongzhi Yin, Hongxu Chen, Tong Chen, Lizhen Cui, Fan Yang:
Disease Prediction via Graph Neural Networks. IEEE J. Biomed. Health Informatics 25(3): 818-826 (2021) - [j7]Guanhua Ye, Hongzhi Yin, Tong Chen, Hongxu Chen, Lizhen Cui, Xiangliang Zhang:
FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection. IEEE J. Biomed. Health Informatics 25(8): 2848-2856 (2021) - 2020
- [j6]Haixia Hou, Yingying Xu, Menghan Chen, Zhi Liu, Wei Guo, Mingcheng Gao, Yang Xin, Lizhen Cui:
Hierarchical Long Short-Term Memory Network for Cyberattack Detection. IEEE Access 8: 90907-90913 (2020) - [c2]Meihao Hou, Fan Yang, Lizhen Cui, Wei Guo:
Predicting Adverse Drug-Drug Interactions via Semi-supervised Variational Autoencoders. APWeb/WAIM (2) 2020: 132-140 - [c1]Lizhen Cui, Jing Chen, Wei He, Hui Li, Wei Guo:
A Pruned DOM-Based Iterative Strategy for Approximate Global Optimization in Crowdsourcing Microtasks. APWeb/WAIM (1) 2020: 779-793
2010 – 2019
- 2019
- [j5]Chenfei Sun, Zhongmin Yan, Qingzhong Li, Yongqing Zheng, Xudong Lu, Lizhen Cui:
Abnormal Group-Based Joint Medical Fraud Detection. IEEE Access 7: 13589-13596 (2019) - [j4]Jinjiao Lin, Chunfang Liu, Yibin Li, Lizhen Cui, Rui Wang, Xudong Lu, Yan Zhang, Jian Lian:
Automatic Knowledge Discovery in Lecturing Videos via Deep Representation. IEEE Access 7: 33957-33963 (2019) - [j3]Lei Liu, Song Xu, Lizhen Cui, Geyong Min, Haozhe Wang:
Power Rationing for Tradeoff Between Energy Consumption and Profit in Multimedia Heterogeneous Networks. IEEE J. Sel. Areas Commun. 37(7): 1642-1655 (2019) - 2018
- [j2]Zhi Liu, Yankun Cao, Lizhen Cui, Jiahua Song, Guangzhe Zhao:
A Benchmark Database and Baseline Evaluation for Fall Detection Based on Wearable Sensors for the Internet of Medical Things Platform. IEEE Access 6: 51286-51296 (2018) - [j1]Yongchang Gao, Chenfei Sun, Ruican Li, Qingzhong Li, Lizhen Cui, Bin Gong:
An Efficient Fraud Identification Method Combining Manifold Learning and Outliers Detection in Mobile Healthcare Services. IEEE Access 6: 60059-60068 (2018)
Coauthor Index
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