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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]](/post-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
- 2026
[j77]Lu Bai, Ziwei Huang, Mingran Sun, Xiang Cheng, Lizhen Cui:
Multi-Modal Intelligent Channel Modeling: A New Modeling Paradigm via Synesthesia of Machines. IEEE Commun. Surv. Tutorials 28: 2612-2649 (2026)- [j76]Yibowen Zhao, Yonghui Xu, Ning Liu, Lizhen Cui, Qingzhong Li:
Generating Counterfactual Temporal Motifs: Unraveling the Mysteries of Temporal Graph Neural Networks. Data Sci. Eng. 11(1): 199-212 (2026) - [j75]Taihua Chen, Xiang Ma, Yanyu Xu, Yonghui Xu, Shuyuan Qian, Lizhen Cui:
RTS-LLM: Restoring time structure for time series forecasting with LLMs. Expert Syst. Appl. 301: 130402 (2026) - [j74]Xuanchi Chen, Yonghui Xu, Zhen Li, Mingzhe Zhang, Han Yu, Lizhen Cui, Xiangwei Zheng:
Self-supervised exceptional prototypical network for few-shot grading of gastric intestinal metaplasia. Neural Networks 198: 108584 (2026) - [j73]Chaoying Jiang, Yujing Xin, Ning Liu, Yonghui Xu, Lei Liu, Li-Zhen Cui, Jianyong Wang:
Generation and Selection: A Self-Iterative Two-Stage Data Augmentation Method for Automated ECG Classification. IEEE J. Biomed. Health Informatics 30(4): 3473-3484 (2026) - [j72]Haotian Chen, Yanyu Xu, Yonghui Xu, Yu Zhang, Yixin Zhang, Fang Wang, Li-Zhen Cui:
Toward Effective Model Merging in Semantic Segmentation. IEEE Trans. Neural Networks Learn. Syst. 37(4): 1948-1962 (2026) - [j71]Xiaoqiang Gui, Bowen Chen, Qiaoyu Tan, Jun Wang, Yongqing Zheng, Qingzhong Li, Li-Zhen Cui, Guoxian Yu:
Federated Recommendation via Stochastic Aggregation and Consistency Inference. ACM Trans. Inf. Syst. 44(3): 74:1-74:40 (2026) - [j70]Mingliang Xue, Yifan Wang, Zhi Wang, Lifeng Zhu, Lizhen Cui, Yueguo Chen, Zhiyu Ding, Oliver Deussen, Yunhai Wang:
AutoFDP: Automatic Force-Based Model Selection for Multicriteria Graph Drawing. IEEE Trans. Vis. Comput. Graph. 32(2): 1554-1568 (2026) - [i15]Dezhi Yang, Qiaoyu Tan, Carlotta Domeniconi, Jun Wang, Li-Zhen Cui, Guoxian Yu:
Coarse-to-Fine Learning of Dynamic Causal Structures. CoRR abs/2602.22532 (2026) - 2025
- [j69]Yibowen Zhao, Yonghui Xu, Yong Liu, Luwei Yang, Wen Jiang, Wei Ning, Xiaofang Sun, Lizhen Cui:
Conditional Potential User Mining framework via explainable surrogate models. Expert Syst. Appl. 262: 125587 (2025) - [j68]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) - [j67]Haotian Chen, Yonghui Xu, Yanyu Xu, Yibowen Zhao, Yixin Zhang, Lizhen Cui:
Effective test-time personalization for federated semantic segmentation. Expert Syst. Appl. 272: 126642 (2025) - [j66]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) - [j65]Yue Zhang, Yonghui Xu, Lizhen Cui:
Survey on AI-Assisted Power Transmission Line Fault Detection. Int. J. Crowd Sci. 9(2): 139-146 (2025) - [j64]Lizhen Cui, Yonghui Xu:
Editorial: Special Issue on AI Generated Content. Int. J. Crowd Sci. 9(4): 211-212 (2025) - [j63]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) - [j62]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) - [j61]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) - [j60]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) - [j59]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) - [j58]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) - [j57]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) - [j56]Hanqing Chen, Shuai Ma, Junfeng Liu, Lizhen Cui:
Discovery of Temporal Network Motifs. IEEE Trans. Knowl. Data Eng. 37(5): 2376-2390 (2025) - [j55]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) - [j54]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) - [j53]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) - [j52]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) - [j51]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) - [j50]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) - [c96]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 - [c95]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 - [c94]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 - [c93]Yibowen Zhao, Yonghui Xu, Yu Zhang, Qingzhong Li, Xudong Lu, Wei He, Lizhen Cui:
Meta Relation Assisted Explanatory Model for Heterogeneous Graph Neural Networks. DASFAA (3) 2025: 264-274 - [c92]Zihao Guo, Hongtao Lv, Chaoli Zhang, Yibowen Zhao, Yixin Zhang, Lizhen Cui:
The Illusion of Randomness: How LLMs Fail to Emulate Stochastic Decision-Making in Rock-Paper-Scissors Games? EMNLP (Findings) 2025: 8618-8637 - [c91]Yibowen Zhao, Yiming Cao, Zhiqi Shen, Juan Du, Yonghui Xu, Lizhen Cui, Cyril Leung:
An Efficient Interaction Human-AI Synergy System Bridging Visual Awareness and Large Language Model for Intensive Care Units. HCI (77) 2025: 439-452 - [c90]Yue Huang, Baochen Zhang, Lanju Kong, Qingzhong Li, Lizhen Cui:
FedDSSL: Decentralized Federated Semi-Supervised Learning for Limitedly Annotated Data. ICWS 2025: 1-9 - [c89]Deyu Zhou, Yuqi Hou, Xiao Xue, Xudong Lu, Qingzhong Li, Lizhen Cui:
Scenario Generator Design Method for Service Ecosystem Governance Driven by LLM-Empowered Agents Simulation. ICWS 2025: 552-562 - [c88]Xiang Ma, Litian Xu, Lexin Fang, Caiming Zhang, Lizhen Cui:
Reliable Cross-modal Alignment via Prototype Iterative Construction. ACM Multimedia 2025: 3847-3855 - [c87]Chengcheng Xing, Yanyu Xu, Yonghui Xu, Lizhen Cui:
Learning Invariant Discriminative Patterns for Unified Anomaly Detection. ACM Multimedia 2025: 7874-7882 - [c86]Gaoyuan Ma, Yonghui Xu, Wei He, Lizhen Cui:
EDGM: Efficient and Dynamic Generative Model for Dataset Distillation. PRICAI 2025: 171-187 - [c85]Xiaoyu Han, Yonghui Xu, Haotian Chen, Lizhen Cui:
Test-Time Recommendation for Safe Medication Combination. PRICAI 2025: 492-507 - [c84]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 - [c83]Xinran Chen, Yujing Xin, Ning Liu, Yanyu Xu, Yonghui Xu, Lizhen Cui:
Diffusion-based Data Augmentation via Noise Concatenation for Chest X-Ray Classification. SMC 2025: 355-362 - [c82]Wei Jiang, Tong Chen, Xinyi Gao, Wentao Zhang, Lizhen Cui, Hongzhi Yin:
Epidemiology-informed Network for Robust Rumor Detection. WWW 2025: 3618-3627 - [i14]Haotian Chen, Yanyu Xu, Boyan Wang, Chaoyue Zhao, Xiaoyu Han, Fang Wang, Lizhen Cui, Yonghui Xu:
LexPro-1.0 Technical Report. CoRR abs/2503.06949 (2025) - [i13]Deyu Zhou, Yuqi Hou, Xiao Xue, Xudong Lu, Qingzhong Li, Lizhen Cui:
LLM-empowered Agents Simulation Framework for Scenario Generation in Service Ecosystem Governance. CoRR abs/2509.01441 (2025) - [i12]Yibowen Zhao, Yinan Zhang, Zhixiang Su, Lizhen Cui, Chunyan Miao:
Beyond Traditional Diagnostics: Transforming Patient-Side Information into Predictive Insights with Knowledge Graphs and Prototypes. CoRR abs/2512.08261 (2025) - [i11]Yibowen Zhao, Yiming Cao, Zhiqi Shen, Juan Du, Yonghui Xu, Lizhen Cui, Cyril Leung:
An Efficient Interaction Human-AI Synergy System Bridging Visual Awareness and Large Language Model for Intensive Care Units. CoRR abs/2512.09473 (2025) - 2024
- [j49]Lei Zhang, Xingyu Wu, Yong Liu, Xin Zhou, Yiming Cao, Yonghui Xu, Lizhen Cui, Chunyan Miao:
Estimating package arrival time via heterogeneous hypergraph neural network. Expert Syst. Appl. 238(Part B): 121740 (2024) - [j48]Chang'an Yi, Haotian Chen, Yonghui Xu, Yan Zhou, Juan Du, Lizhen Cui, Haishu Tan:
TADA: Temporal-aware Adversarial Domain Adaptation for patient outcomes forecasting. Expert Syst. Appl. 238(Part E): 122184 (2024) - [j47]Fanglin Zhu, Lizhen Cui, Yonghui Xu, Zhe Qu, Zhiqi Shen:
A Survey of Personalized Medicine Recommendation. Int. J. Crowd Sci. 8(2): 77-82 (2024) - [j46]Qianwen Meng, Hangwei Qian, Yonghui Xu, Lizhen Cui:
Augmentation blending with clustering-aware outlier factor: An outlier-driven perspective for enhanced contrastive learning. Knowl. Based Syst. 299: 112014 (2024) - [j45]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) - [j44]Fenglong Cai, Dong Yuan, Zhe Yang, Yonghui Xu, Wei He, Wei Guo, Lizhen Cui:
FastPTM: Fast weights loading of pre-trained models for parallel inference service provisioning. Parallel Comput. 122: 103114 (2024) - [j43]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) - [j42]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) - [j41]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) - [j40]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) - [j39]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) - [j38]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) - [j37]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) - [j36]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) - [j35]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) - [j34]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) - [j33]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) - [c81]Haotian Chen, Yonghui Xu, Yanyu Xu, Yixin Zhang, Lizhen Cui:
Test-Time Medical Image Segmentation Using CLIP-Guided SAM Adaptation. BIBM 2024: 1866-1873 - [c80]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 - [c79]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 - [c78]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 - [c77]Xiaofang Sun, Yonghui Xu, Ning Liu, Yongqing Zheng, Lizhen Cui:
Multi-scale Residual Graph Attention Network for Major Depressive Disorder Recognition. DASFAA (7) 2024: 3-18 - [c76]Yibowen Zhao, Yonghui Xu, Yixin Zhang, Wei He, Lizhen Cui:
Multi-objective Graph Neural Network Explanatory Model with Local and Global Information Preservation. DASFAA (6) 2024: 311-320 - [c75]Qianwen Meng, Hangwei Qian, Yonghui Xu, Lizhen Cui:
SP-Aug: Towards Efficient Semantic-Preserving Augmentations in Contrastive Learning via Hierarchical Outlier Factor. DASFAA (2) 2024: 312-321 - [c74]Xuehong Tao, YuXin Miao, Yuan Miao, Guanhua Wang, Neda Azizi, Bruce Gu, Gongqi Lin, Lizhen Cui, Yonghui Xu, Wei Guo:
Counterfactual Reasoning and Cognitive Intelligence for Rational Robots. ICARCV 2024: 25-30 - [c73]Xilie Xu, Keyi Kong, Ning Liu, Lizhen Cui, Di Wang, Jingfeng Zhang, Mohan S. Kankanhalli:
An LLM can Fool Itself: A Prompt-Based Adversarial Attack. ICLR 2024 - [c72]Yibowen Zhao, Yonghui Xu, Ning Liu, Yixin Zhang, Wei Guo, Xudong Lu, Lizhen Cui:
Causal Denoising Framework for Generalizable Recommendation System using Graph Neural Network. ICME 2024: 1-6 - [c71]Shipeng Wang, Qingzhong Li, Xudong Lu, Lizhen Cui:
A Self-organizing Collaborative Crowdsourcing Framework for Improving Service Utility. ICWS 2024: 1245-1250 - [c70]Yu Zhang, Hua Lu, Ning Liu, Yonghui Xu, Qingzhong Li, Lizhen Cui:
Personalized Federated Learning for Cross-City Traffic Prediction. IJCAI 2024: 5526-5534 - [c69]Zhe Yang, Wei He, Fenglong Cai, Yonghui Xu, Wei Guo, Lizhen Cui:
AutoMP: A Tool to Automate Performance Testing for Model Placement on GPUs. ISPA 2024: 1599-1606 - [c68]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 - [c67]Yixin Zhang, Xin Zhou, Qianwen Meng, Fanglin Zhu, Yonghui Xu, Zhiqi Shen, Lizhen Cui:
Multi-modal Food Recommendation Using Clustering and Self-supervised Learning. PRICAI (1) 2024: 269-281 - [c66]Xurong Liang, Tong Chen, Lizhen Cui, Yang Wang, Meng Wang, Hongzhi Yin:
Lightweight Embeddings for Graph Collaborative Filtering. SIGIR 2024: 1296-1306 - [c65]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 - [c64]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 - [i10]Yixin Zhang, Xin Zhou, Qianwen Meng, Fanglin Zhu, Yonghui Xu, Zhiqi Shen, Lizhen Cui:
Multi-modal Food Recommendation using Clustering and Self-supervised Learning. CoRR abs/2406.18962 (2024) - 2023
- [j32]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) - [j31]Jiancheng Zhang, Yonghui Xu, Bicui Ye, Yibowen Zhao, Xiaofang Sun, Qi Meng, Yang Zhang, Lizhen Cui:
EAPR: explainable and augmented patient representation learning for disease prediction. Health Inf. Sci. Syst. 11(1): 53 (2023) - [j30]Jia Gu, Youyang Du, Chi Zhang, Yunsen Tang, Huiguo Zhang, Yonghui Xu, Lizhen Cui:
Music Intervention in Human Life, Work, and Disease: A Survey. Int. J. Crowd Sci. 7(3): 97-105 (2023) - [j29]Zhida Shang, Hefeng Meng, Yibowen Zhao, Ronghua Xu, Yonghui Xu, Lizhen Cui:
Cross-Domain Credit Default Prediction via Interpretable Ensemble Transfer. Int. J. Crowd Sci. 7(3): 106-112 (2023) - [j28]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) - [j27]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) - [j26]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) - [j25]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) - [j24]Alysa Ziying Tan, Han Yu, Lizhen Cui, Qiang Yang:
Towards Personalized Federated Learning. IEEE Trans. Neural Networks Learn. Syst. 34(12): 9587-9603 (2023) - [j23]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) - [c63]Yiming Cao, Lizhen Cui, Lei Zhang, Fuqiang Yu, Zhen Li, Yonghui Xu:
MMTN: Multi-Modal Memory Transformer Network for Image-Report Consistent Medical Report Generation. AAAI 2023: 277-285 - [c62]Qianwen Meng, Hangwei Qian, Yong Liu, Lizhen Cui, Yonghui Xu, Zhiqi Shen:
MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series. AAAI 2023: 9153-9161 - [c61]Qianwen Meng, Yonghui Xu, Fanglin Zhu, Lizhen Cui:
Advancing Precision Medicine: Treatment Regimen Recommendations via Siamese Neural Networks. BIBM 2023: 893-898 - [c60]Xiaofang Sun, Wei He, Yonghui Xu, Yali Jiang, Xiangwei Zheng, Yongqing Zheng, Wei Guo, Lizhen Cui:
Brain Functional Residual Temporal Convolution Network for Major Depressive Disorder Recognition. BIBM 2023: 2249-2254 - [c59]Hongyu Qiu, Yongwei Wang, Yonghui Xu, Lizhen Cui, Zhiqi Shen:
FedCIO: Efficient Exact Federated Unlearning with Clustering, Isolation, and One-shot Aggregation. IEEE Big Data 2023: 5559-5568 - [c58]Xu Zhang, Yonghui Xu, Wei He, Wei Guo, Lizhen Cui:
A Comprehensive Review of the Oversmoothing in Graph Neural Networks. ChineseCSCW (1) 2023: 451-465 - [c57]Hanlin Zhang, Yue Zhang, Wei He, Yonghui Xu, Lizhen Cui:
Towards Distributed Graph Representation Learning. ChineseCSCW (1) 2023: 547-557 - [c56]Caiyan Li, Lizhen Cui, Yonghui Xu, Ning Liu:
Logic Event Graph Enhanced Narrative Generation. CSCWD 2023: 181-186 - [c55]Zhe Qu, Lizhen Cui, Yonghui Xu:
DP-MHAN: A Disease Prediction Method Based on Metapath Aggregated Heterogeneous Graph Attention Networks. DASFAA (4) 2023: 276-285 - [c54]Yiming Cao, Lizhen Cui, Lei Zhang, Fuqiang Yu, Ziheng Cheng, Zhen Li, Yonghui Xu, Chunyan Miao:
CMT: Cross-modal Memory Transformer for Medical Image Report Generation. DASFAA (3) 2023: 415-424 - [c53]Lei Zhang, Mingliang Wang, Xin Zhou, Xingyu Wu, Yiming Cao, Yonghui Xu, Lizhen Cui, Zhiqi Shen:
Dual Graph Multitask Framework for Imbalanced Delivery Time Estimation. DASFAA (4) 2023: 606-618 - [c52]Kai Zhang, Daokun Zhang, Ning Liu, Yonghua Yang, Yonghui Xu, Zhongmin Yan, Hui Li, Lizhen Cui:
Sample and Feature Enhanced Few-Shot Knowledge Graph Completion. DASFAA (2) 2023: 800-809 - [c51]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 - [c50]Yixin Zhang, Yong Liu, Hao Xiong, Yi Liu, Fuqiang Yu, Wei He, Yonghui Xu, Lizhen Cui, Chunyan Miao:
Cross-Domain Disentangled Learning for E-Commerce Live Streaming Recommendation. ICDE 2023: 2955-2968 - [c49]Lei Zhang, Xin Zhou, Zhiwei Zeng, Yiming Cao, Yonghui Xu, Mingliang Wang, Xingyu Wu, Yong Liu, Lizhen Cui, Zhiqi Shen:
Delivery Time Prediction Using Large-Scale Graph Structure Learning Based on Quantile Regression. ICDE 2023: 3403-3416 - [c48]Shipeng Wang, Qingzhong Li, Lizhen Cui, Yali Jiang, Zhiqi Shen, Han Yu:
CSP-RM: Reputation Management Decision Support for Crowdsourcing Service Providers. ICWS 2023: 161-169 - [c47]Yu Zhang, Yonghui Xu, Lizhen Cui, Zhongmin Yan:
Multi-View Graph Contrastive Learning for Urban Region Representation. IJCNN 2023: 1-8 - [c46]Yunke Qu, Tong Chen, Xiangyu Zhao, Lizhen Cui, Kai Zheng, Hongzhi Yin:
Continuous Input Embedding Size Search For Recommender Systems. SIGIR 2023: 708-717 - [i9]Zehua Sun, Yonghui Xu, Yong Liu, Wei He, Lanju Kong, Yali Jiang, Fangzhao Wu, Lizhen Cui:
A Survey on Federated Recommendation Systems. CoRR abs/2301.00767 (2023) - [i8]Lei Zhang, Mingliang Wang, Xin Zhou, Xingyu Wu, Yiming Cao, Yonghui Xu, Lizhen Cui, Zhiqi Shen:
Dual Graph Multitask Framework for Imbalanced Delivery Time Estimation. CoRR abs/2302.07429 (2023) - [i7]Qianwen Meng, Hangwei Qian, Yong Liu, Yonghui Xu, Zhiqi Shen, Lizhen Cui:
Unsupervised Representation Learning for Time Series: A Review. CoRR abs/2308.01578 (2023) - [i6]Chang'an Yi, Haotian Chen, Yifan Zhang, Yonghui Xu, Lizhen Cui:
A Critical Look at Classic Test-Time Adaptation Methods in Semantic Segmentation. CoRR abs/2310.05341 (2023) - [i5]Xilie Xu, Keyi Kong, Ning Liu, Lizhen Cui, Di Wang, Jingfeng Zhang, Mohan S. Kankanhalli:
An LLM can Fool Itself: A Prompt-Based Adversarial Attack. CoRR abs/2310.13345 (2023) - 2022
- [j22]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) - [j21]Tao Jiang, Fengjian Kang, Wei Guo, Wei He, Lei Liu, Xudong Lu, Yonghui Xu, Lizhen Cui:
CK-Encoder: Enhanced Language Representation for Sentence Similarity. Int. J. Crowd Sci. 6(1): 17-22 (2022) - [j20]Tong Ding, Ning Liu, Zhongmin Yan, Lei Liu, Lizhen Cui:
An Efficient Reinforcement Learning Game Framework for UAV-Enabled Wireless Sensor Network Data Collection. J. Comput. Sci. Technol. 37(6): 1356-1368 (2022) - [j19]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) - [j18]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) - [j17]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) - [j16]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) - [j15]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) - [c45]Fanglin Zhu, Shunyu Chen, Yonghui Xu, Wei He, Fuqiang Yu, Xu Zhang, Lizhen Cui:
Temporal Hypergraph for Personalized Clinical Pathway Recommendation. BIBM 2022: 718-725 - [c44]Xiaolin Song, Yuehan Su, Lanju Kong, Lizhen Cui, Wei Guo, Qingzhong Li:
A high-concurrency blockchain model for large-scale medical cohort data storage and sharing. BIBM 2022: 1178-1184 - [c43]Yiming Cao, Lizhen Cui, Lei Zhang, Fuqiang Yu, Zhen Li, Yonghui Xu, Chunyan Miao:
KdINet: Knowledge-driven Interpretable Network for Medical Imaging Diagnosis. BIBM 2022: 1457-1460 - [c42]Fuqiang Yu, Lizhen Cui, Yiming Cao, Fanglin Zhu, Yonghui Xu, Ning Liu:
Feature-Guided Logical Perception Network for Health Risk Prediction. BIBM 2022: 1787-1790 - [c41]Zhe Qu, Lizhen Cui, Yonghui Xu:
Disease Risk Prediction via Heterogeneous Graph Attention Networks. BIBM 2022: 3385-3390 - [c40]Yue Huang, Yonghui Xu, Lanju Kong, Qingzhong Li, Lizhen Cui:
Towards Heterogeneous Federated Learning. ChineseCSCW (1) 2022: 390-404 - [c39]Xiao Yang, Ning Liu, Jianbo Qiao, Haitao Yuan, Teng Ma, Yonghui Xu, Lizhen Cui:
Clinical Phenotyping Prediction via Auxiliary Task Selection and Adaptive Shared-Space Correction. CICAI (2) 2022: 438-449 - [c38]Jun Lin, Yonghui Xu, Wei Guo, Lizhen Cui, Chunyan Miao:
XIVA: An Intelligent Voice Assistant with Scalable Capabilities for Educational Metaverse. CICAI (3) 2022: 559-563 - [c37]Yiming Cao, Lizhen Cui, Fuqiang Yu, Lei Zhang, Zhen Li, Ning Liu, Yonghui Xu:
KdTNet: Medical Image Report Generation via Knowledge-Driven Transformer. DASFAA (3) 2022: 117-132 - [c36]Xiaoning Zong, Yong Liu, Yonghui Xu, Yixin Zhang, Zhiqi Shen, Yonghua Yang, Lizhen Cui:
SAER: Sentiment-Opinion Alignment Explainable Recommendation. DASFAA (2) 2022: 315-322 - [c35]Fuqiang Yu, Lizhen Cui, Yiming Cao, Ning Liu, Weiming Huang, Yonghui Xu:
Similarity-Aware Collaborative Learning for Patient Outcome Prediction. DASFAA (2) 2022: 407-422 - [c34]Zhaoming Li, Wei He, Ning Liu, Yonghui Xu, Lizhen Cui, Kaiyuan Qi:
Balancing Supply and Demand for Mobile Crowdsourcing Services. ICSOC 2022: 285-299 - [c33]Ran Zhang, Ning Liu, Lei Liu, Wei Zhang, Haitao Yuan, Mianxiong Dong, Lizhen Cui:
Is it fair? Resource allocation for differentiated services on demands. ICWS 2022: 355-360 - [c32]Yixin Zhang, Yong Liu, Yonghui Xu, Hao Xiong, Chenyi Lei, Wei He, Lizhen Cui, Chunyan Miao:
Enhancing Sequential Recommendation with Graph Contrastive Learning. IJCAI 2022: 2398-2405 - [i4]Yixin Zhang, Yong Liu, Yonghui Xu, Hao Xiong, Chenyi Lei, Wei He, Lizhen Cui, Chunyan Miao:
Enhancing Sequential Recommendation with Graph Contrastive Learning. CoRR abs/2205.14837 (2022) - [i3]Qianwen Meng, Hangwei Qian, Yong Liu, Yonghui Xu, Zhiqi Shen, Lizhen Cui:
MHCCL: Masked Hierarchical Cluster-wise Contrastive Learning for Multivariate Time Series. CoRR abs/2212.01141 (2022) - [i2]Shipeng Wang, Qingzhong Li, Lizhen Cui, Zhongmin Yan, Yonghui Xu, Zhuan Shi, Zhiqi Shen, Han Yu:
Towards AI-Empowered Crowdsourcing. CoRR abs/2212.14676 (2022) - 2021
- [j14]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) - [j13]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) - [j12]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) - [j11]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) - [c31]Honglu Zhang, Yonghui Xu, Lei Liu, Xudong Lu, Xijie Lin, Zhongmin Yan, Lizhen Cui, Chunyan Miao:
Multi-modal Information Fusion-powered Regional Covid-19 Epidemic Forecasting. BIBM 2021: 779-784 - [c30]Xijie Lin, Yuan Li, Yonghui Xu, Wei Guo, Wei He, Honglu Zhang, Lizhen Cui, Chunyan Miao:
Personalized Clinical Pathway Recommendation via Attention Based Pre-training. BIBM 2021: 980-987 - [c29]Shipeng Wang, Daokun Zhang, Lizhen Cui, Xudong Lu, Lei Liu, Qingzhong Li:
Personality Traits Prediction Based on Sparse Digital Footprints via Discriminative Matrix Factorization. DASFAA (2) 2021: 692-700 - [c28]Ronghua Xu, Hefeng Meng, Zhiqiang Lin, Yonghui Xu, Lizhen Cui, Jun Lin:
Credit Default Prediction via Explainable Ensemble Learning. ICCSE 2021: 81-87 - [c27]Youyang Du, Chi Zhang, Escoffier Wang, Yunsen Tang, Yonghui Xu, Lizhen Cui:
Music Rhythm Matching Based on Dynamic Step Frequency. ICCSE 2021: 113-118 - [c26]Jiancheng Zhang, Xiao Yang, Hefeng Meng, Zhiqiang Lin, Yonghui Xu, Lizhen Cui:
A Survey on Knowledge Enhanced EHR Data Mining. ICCSE 2021: 124-131 - [c25]Hefeng Meng, Zhiqiang Lin, Fan Yang, Yonghui Xu, Lizhen Cui:
Knowledge Distillation In Medical Data Mining: A Survey. ICCSE 2021: 175-182 - [i1]Xiaofang Sun, Xiangwei Zheng, Yonghui Xu, Lizhen Cui, Bin Hu:
Major Depressive Disorder Recognition and Cognitive Analysis Based on Multi-layer Brain Functional Connectivity Networks. CoRR abs/2111.01351 (2021) - 2020
- [j10]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) - [c24]Shipeng Wang, Lizhen Cui, Lei Liu, Xudong Lu, Qingzhong Li:
Personality Traits Prediction Based on Users' Digital Footprints in Social Networks via Attention RNN. SCC 2020: 54-56 - [c23]Meihao Hou, Fan Yang, Lizhen Cui, Wei Guo:
Predicting Adverse Drug-Drug Interactions via Semi-supervised Variational Autoencoders. APWeb/WAIM (2) 2020: 132-140 - [c22]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 - [c21]Fuqiang Yu, Lizhen Cui, Wei Guo, Xudong Lu, Qingzhong Li, Hua Lu:
A Category-Aware Deep Model for Successive POI Recommendation on Sparse Check-in Data. WWW 2020: 1264-1274
2010 – 2019
- 2019
- [j9]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) - [j8]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) - [j7]Chenfei Sun, Qingzhong Li, Lizhen Cui, Hui Li, Yuliang Shi:
Heterogeneous network-based chronic disease progression mining. Big Data Min. Anal. 2(1): 25-34 (2019) - [j6]Pengze Li, Ran Zhang, Lei Liu, Lizhen Cui, Qingzhong Li, Guangpeng Zhou:
Bridges the crowd: rim chain framework. Int. J. Crowd Sci. 3(2): 106-116 (2019) - [j5]Shipeng Wang, Lizhen Cui, Lei Liu, Xudong Lu, Qingzhong Li:
Projecting real world into CrowdIntell network: a methodology. Int. J. Crowd Sci. 3(2): 138-154 (2019) - [j4]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) - [c20]Song Xu, Lei Liu, Lizhen Cui, Qingzhong Li, Zhongmin Yan:
Promoting Higher Revenues for Both Crowdsourcer and Crowds in Crowdsourcing via Contest. ICWS 2019: 403-407 - 2018
- [j3]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) - [j2]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) - [j1]Lei Liu, Yongjian Ren, Lizhen Cui, Yuliang Shi, Qingzhong Li:
Performance measurement of data flow processing employing software defined architecture. Future Gener. Comput. Syst. 82: 235-243 (2018) - [c19]Kenan Liang, Wei Guo, Lizhen Cui, Meng Xu, Qingzhong Li:
AstroBase: Distributed Long-Term Astronomical Database. BigSDM 2018: 56-66 - [c18]Pengze Li, Lei Liu, Lizhen Cui, Qingzhong Li, Yongqing Zheng, Guangpeng Zhou:
Rim Chain: Bridge the Provision and Demand Among the Crowd. ICA3PP (2) 2018: 18-31 - [c17]Qian Yang, Lizhen Cui, Miao Zheng, Shijun Liu, Wei Guo, Xudong Lu, Yongqing Zheng, Qingzhong Li:
LBTask: A Benchmark for Spatial Crowdsourcing Platforms. ICCSE 2018: 27:1-27:6 - [c16]Yun Jiang, Lizhen Cui, Yiming Cao, Lei Liu, Wei He, Li Pan, Yongqing Zheng, Qingzhong Li:
Spatial Crowdsourcing Task Assignment Based on the Quality of Workers. ICCSE 2018: 28:1-28:6 - 2017
- [c15]Yiming Cao, Lei Liu, Lizhen Cui, Qingzhong Li:
Empirical Study on Assessment Algorithms with Confidence in Crowdsourcing. ICCSE 2017: 100-104 - 2016
- [c14]Yuliang Shi, Chenfei Sun, Qingzhong Li, Lizhen Cui, Han Yu, Chunyan Miao:
A Fraud Resilient Medical Insurance Claim System. AAAI 2016: 4393-4394 - [c13]Chenfei Sun, Yuliang Shi, Qingzhong Li, Lizhen Cui, Han Yu, Chunyan Miao:
A Hybrid Approach for Detecting Fraudulent Medical Insurance Claims: (Extended Abstract). AAMAS 2016: 1287-1288 - [c12]Yuqin Xu, Qingzhong Li, Xingpin Min, Lizhen Cui, Zongshui Xiao, Lanju Kong:
E-commerce Blockchain Consensus Mechanism for Supporting High-Throughput and Real-Time Transaction. CollaborateCom 2016: 490-496 - [c11]Xinping Min, Qingzhong Li, Lei Liu, Lizhen Cui:
A Permissioned Blockchain Framework for Supporting Instant Transaction and Dynamic Block Size. Trustcom/BigDataSE/ISPA 2016: 90-96 - [c10]Teng Liu, Qingzhong Li, Lanju Kong, Lei Liu, Lizhen Cui:
Optimizing Replica Exchange Strategy for Load Balancing in Multienant Databases. WAIM (2) 2016: 430-443 - 2015
- [c9]Zongshui Xiao, Wenbin Zhang, Qingzhong Li, Lei Liu, Lizhen Cui:
A Method of E-Commerce Trading Process Construction Based on PaaS Platform. ICEBE 2015: 220-227 - [c8]Chenfei Sun, Qingzhong Li, Lizhen Cui, Zhongmin Yan, Hui Li, Wei Wei:
An Effective Hybrid Fraud Detection Method. KSEM 2015: 563-574 - 2014
- [c7]Wei He, Qingzhong Li, Lizhen Cui, Ting Li:
A Context-Based Autonomous Construction Approach for Procedural Mashups. ICWS 2014: 487-494 - 2012
- [c6]Guozhen Ren, Qingzhong Li, Yuliang Shi, Lizhen Cui:
A Confidentiality-Guarantee Mechanism for SaaS. IWEI 2012: 71-80 - 2011
- [c5]Lizhen Cui, Junjie Tian, Haiyang Wang, Qingzhong Li:
Service cooperation in PaaS platform based on planning method. CSCWD 2011: 367-374
2000 – 2009
- 2007
- [c4]Guozhen Ren, Qingzhong Li, Lizhen Cui, Tiangang Dong:
Discovering the Most Suitable Web Service in Collaboration Environment. CSCWD (Selected Papers) 2007: 331-341 - [c3]Tiangang Dong, Qingzhong Li, Kangkang Zhang, Lizhen Cui:
An Extended Matching Method for Semantic Web Service in Collaboration Environment. CSCWD 2007: 508-513 - [c2]Yongquan Dong, Qingzhong Li, Lizhen Cui:
Research on the framework based on web service and ontology for sharing parts library in virtual enterprise. CSCWD 2007: 900-903 - 2005
- [c1]Kangkang Zhang, Qingzhong Li, Lizhen Cui:
Semantic Web service-based application integration framework for supporting collaborative design. CSCWD (2) 2005: 1194-1198
Coauthor Index
[j76] [j75] [j74] [j73] [j72] [j69] [j68] [j67] [j65] [j64] [j60] [j57] [j55] [j53] [c93] [c91] [c87] [c86] [c85] [c83] [i14] [i11] [j49] [j48] [j47] [j46] [j44] [j43] [j38] [j37] [c81] [c78] [c77] [c76] [c75] [c74] [c72] [c70] [c69] [c68] [c67] [i10] [j31] [j30] [j29] [j26] [j25] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c50] [c49] [c47] [i9] [i8] [i7] [i6] [j21] [c45] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c32] [i4] [i3] [i2] [c31] [c30] [c28] [c27] [c26] [c25] [i1]
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