default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDLi-zhen Cui
Lizhen Cui
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j123]Jing Qu
, Lizhen Cui, Wei Guo, Lingguo Bu, Zhenya Wang:
Development of a novel machine learning-based approach for brain function assessment and integrated software solution. Adv. Eng. Informatics 60: 102461 (2024)- [j122]Jiangang Hou, Xin Li, Hongji Xu, Chun Wang, Lizhen Cui, Zhi Liu, Changzhen Hu:
Packet header-based reweight-long short term memory (Rew-LSTM) method for encrypted network traffic classification. Computing 106(8): 2875-2896 (2024) - [j121]Tong Ding, Lei Liu, Yi Zhu, Lizhen Cui, Zhongmin Yan:
IoV environment exploring coordination: A federated learning approach. Digit. Commun. Networks 10(1): 135-141 (2024) - [j120]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) - [j119]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) - [j118]Xiao Xue, Deyu Zhou, Xiangning Yu, Gang Wang, Juanjuan Li, Xia Xie, Lizhen Cui, Fei-Yue Wang:
Computational Experiments for Complex Social Systems: Experiment Design and Generative Explanation. IEEE CAA J. Autom. Sinica 11(4): 1022-1038 (2024) - [j117]Zhe Qu, Weijing Liu, Lizhen Cui, Xiaohui Yang:
Video frame interpolation via spatial multi-scale modelling. IET Comput. Vis. 18(4): 458-472 (2024) - [j116]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) - [j115]Tian Su, Zixing Ding, Lizhen Cui, Lingguo Bu:
System Development and Evaluation of Human-Computer Interaction Approach for Assessing Functional Impairment for People with Mild Cognitive Impairment: A Pilot Study. Int. J. Hum. Comput. Interact. 40(8): 1906-1920 (2024) - [j114]Tianlong Zhao, Guangle Song, Xuemei Li, Lizhen Cui, Caiming Zhang:
Diff-MGR: Dynamic causal graph attention and pattern reproduction guided diffusion model for multivariate time series probabilistic forecasting. Inf. Sci. 675: 120742 (2024) - [j113]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) - [j112]Xiaoxiao Cui, Boyu Wang, Shanzhi Jiang, Zhi Liu, Hongji Xu, Lizhen Cui, Shuo Li:
Unified bi-encoder bispace-discriminator disentanglement for cross-domain echocardiography segmentation. Knowl. Based Syst. 303: 112394 (2024) - [j111]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) - [j110]Shuaiying Zhang, Lizhen Cui, Zhen Dong, Wentao An:
A Deep Learning Classification Scheme for PolSAR Image Based on Polarimetric Features. Remote. Sens. 16(10): 1676 (2024) - [j109]Shuaiying Zhang, Lizhen Cui, Yue Zhang, Tian Xia, Zhen Dong, Wentao An:
Research on Input Schemes for Polarimetric SAR Classification Using Deep Learning. Remote. Sens. 16(11): 1826 (2024) - [j108]Tong Li, Lizhen Cui, Yu Wu, Timothy I. McLaren, Anquan Xia, Rajiv Pandey, Hongdou Liu, Weijin Wang, Zhihong Xu, Xiufang Song, Ram C. Dalal, Yash P. Dang:
Soil Organic Carbon Estimation via Remote Sensing and Machine Learning Techniques: Global Topic Modeling and Research Trend Exploration. Remote. Sens. 16(17): 3168 (2024) - [j107]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) - [j106]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) - [j105]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) - [j104]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) - [j103]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) - [j102]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) - [j101]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) - [j100]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) - [c234]Zhixiang Su, Di Wang, Chunyan Miao, Lizhen Cui:
Anchoring Path for Inductive Relation Prediction in Knowledge Graphs. AAAI 2024: 9011-9018 - [c233]Daoguang Zan, Ailun Yu, Wei Liu, Bo Shen, Shaoxin Lin, Yongshun Gong, Yafen Yao, Yan Liu, Bei Guan, Weihua Luo, Yongji Wang, Qianxiang Wang, Lizhen Cui:
CodeM: Less Data Yields More Versatility via Ability Matrix. ACL (Findings) 2024: 714-729 - [c232]Xinyu Tang, Hongtao Lv, Yingjie Gao, Fan Wu, Lei Liu, Lizhen Cui:
Towards Efficient Auction Design with ROI Constraints. AAMAS 2024: 1818-1826 - [c231]Qiuyuan Wang, Lanju Kong, Lizhen Cui:
A Complete Protection, Certification and Traceability System for Academic Degrees Based on Collaborative Storage on and Off the Chain. CSCWD 2024: 401-406 - [c230]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 - [c229]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 - [c228]Wei Yuan, Liang Qu, Lizhen Cui, Yongxin Tong, Xiaofang Zhou, Hongzhi Yin:
HeteFedRec: Federated Recommender Systems with Model Heterogeneity. ICDE 2024: 1324-1337 - [c227]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 - [c226]Qianyu Li, Xiaoli Tang, Siyao Zhou, Han Yu, Hengjie Song, Lizhen Cui, Xiaoxiao Li:
FedRMS: Privacy-Preserving Federated Knowledge Graph Embedding Through Randomization. ICME 2024: 1-6 - [c225]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 - [c224]Xurong Liang, Tong Chen, Lizhen Cui, Yang Wang, Meng Wang, Hongzhi Yin:
Lightweight Embeddings for Graph Collaborative Filtering. SIGIR 2024: 1296-1306 - [c223]Yang Xu, Gao Cong, Lei Zhu, Lizhen Cui:
MMPOI: A Multi-Modal Content-Aware Framework for POI Recommendations. WWW 2024: 3454-3463 - [c222]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 - [c221]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 - [i53]Ruiqi Zheng, Liang Qu, Tong Chen, Lizhen Cui, Yuhui Shi, Hongzhi Yin:
Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation. CoRR abs/2401.13448 (2024) - [i52]Liang Qu, Wei Yuan, Ruiqi Zheng, Lizhen Cui, Yuhui Shi, Hongzhi Yin:
Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation. CoRR abs/2401.17630 (2024) - [i51]Daoguang Zan, Ailun Yu, Wei Liu, Dong Chen, Bo Shen, Wei Li, Yafen Yao, Yongshun Gong, Xiaolin Chen, Bei Guan, Zhiguang Yang, Yongji Wang, Qianxiang Wang, Lizhen Cui:
CodeS: Natural Language to Code Repository via Multi-Layer Sketch. CoRR abs/2403.16443 (2024) - [i50]Xurong Liang, Tong Chen, Lizhen Cui, Yang Wang, Meng Wang, Hongzhi Yin:
Lightweight Embeddings for Graph Collaborative Filtering. CoRR abs/2403.18479 (2024) - [i49]Hung Vinh Tran, Tong Chen, Quoc Viet Hung Nguyen, Zi Huang, Lizhen Cui, Hongzhi Yin:
A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems. CoRR abs/2406.17335 (2024) - [i48]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) - [i47]Wei Jiang, Tong Chen, Guanhua Ye, Wentao Zhang, Lizhen Cui, Zi Huang, Hongzhi Yin:
Physics-guided Active Sample Reweighting for Urban Flow Prediction. CoRR abs/2407.13605 (2024) - 2023
- [j99]Xiuxiu Ren, Xiangwei Zheng, Lizhen Cui, Gang Wang, Huiyu Zhou:
Asymmetric similarity-preserving discrete hashing for image retrieval. Appl. Intell. 53(10): 12114-12131 (2023) - [j98]Xin Zhang, Lesong Wei, Xiucai Ye, Kai Zhang, Saisai Teng, Zhongshen Li, Junru Jin, Min Jae Kim, Tetsuya Sakurai, Lizhen Cui, Balachandran Manavalan, Leyi Wei:
SiameseCPP: a sequence-based Siamese network to predict cell-penetrating peptides by contrastive learning. Briefings Bioinform. 24(1) (2023) - [j97]Saisai Teng, Chenglin Yin, Yu Wang, Xiandong Chen, Zhongmin Yan, Lizhen Cui, Leyi Wei:
MolFPG: Multi-level fingerprint-based Graph Transformer for accurate and robust drug toxicity prediction. Comput. Biol. Medicine 164: 106904 (2023) - [j96]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) - [j95]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) - [j94]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) - [j93]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) - [j92]Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Carlotta Domeniconi, Xiayan Zhang, Lizhen Cui:
Few-shot partial multi-label learning via prototype rectification. Knowl. Inf. Syst. 65(4): 1851-1880 (2023) - [j91]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) - [j90]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) - [j89]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) - [j88]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) - [j87]Alysa Ziying Tan, Han Yu, Lizhen Cui, Qiang Yang:
Towards Personalized Federated Learning. IEEE Trans. Neural Networks Learn. Syst. 34(12): 9587-9603 (2023) - [j86]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) - [c220]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 - [c219]Hongtao Lv, Zhilin Zhang, Zhenzhe Zheng, Jinghan Liu, Chuan Yu, Lei Liu, Lizhen Cui, Fan Wu:
Utility Maximizer or Value Maximizer: Mechanism Design for Mixed Bidders in Online Advertising. AAAI 2023: 5789-5796 - [c218]Zhixiang Su, Di Wang, Chunyan Miao, Lizhen Cui:
Multi-Aspect Explainable Inductive Relation Prediction by Sentence Transformer. AAAI 2023: 6533-6540 - [c217]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 - [c216]Mengwei Xie, Lizhen Cui, Jianxiong Liu, Wei Guo, Feng Li:
Time Fairness-Based Application Offloading in Mobile Edge Computing with Individual QoS Guarantee. ISPA/BDCloud/SocialCom/SustainCom 2023: 10-17 - [c215]Qianwen Meng, Yonghui Xu, Fanglin Zhu, Lizhen Cui:
Advancing Precision Medicine: Treatment Regimen Recommendations via Siamese Neural Networks. BIBM 2023: 893-898 - [c214]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 - [c213]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 - [c212]Guanhua Duan, Yankun Cao, Wei Guo, Lizhen Cui, Zhi Liu:
A Virtual Staining Method for Immunohistochemical Images of Breast Cancer. CISP-BMEI 2023: 1-5 - [c211]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 - [c210]Hanlin Zhang, Yue Zhang, Wei He, Yonghui Xu, Lizhen Cui:
Towards Distributed Graph Representation Learning. ChineseCSCW (1) 2023: 547-557 - [c209]Caiyan Li, Lizhen Cui, Yonghui Xu, Ning Liu:
Logic Event Graph Enhanced Narrative Generation. CSCWD 2023: 181-186 - [c208]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 - [c207]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 - [c206]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 - [c205]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 - [c204]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 - [c203]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 - [c202]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 - [c201]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 - [c200]Fenglong Cai, Dong Yuan, Mengwei Xie, Wei He, Lanju Kong, Wei Guo, Yali Jiang, Lizhen Cui:
ParaTra: A Parallel Transformer Inference Framework for Concurrent Service Provision in Edge Computing. ICWS 2023: 258-268 - [c199]Yuehan Su, Lanju Kong, Yongqing Zheng, Lizhen Cui, Zongshui Xiao, Baochen Zhang, Xinping Min:
TBPCS: Trustworthy Cross Department Business Process Collaboration Service Based on Blockchain. ICWS 2023: 716-718 - [c198]Yu Zhang, Yonghui Xu, Lizhen Cui, Zhongmin Yan:
Multi-View Graph Contrastive Learning for Urban Region Representation. IJCNN 2023: 1-8 - [c197]Yunke Qu, Tong Chen, Xiangyu Zhao, Lizhen Cui, Kai Zheng, Hongzhi Yin:
Continuous Input Embedding Size Search For Recommender Systems. SIGIR 2023: 708-717 - [c196]Yunpeng Yi, Hongtao Lv, Tie Luo, Junfeng Yang, Lei Liu, Lizhen Cui:
Crowdsourcing-based Model Testing in Federated Learning. TrustCom 2023: 207-213 - [c195]Wei Yuan, Chaoqun Yang, Quoc Viet Hung Nguyen, Lizhen Cui, Tieke He, Hongzhi Yin:
Interaction-level Membership Inference Attack Against Federated Recommender Systems. WWW 2023: 1053-1062 - [i46]Zehua Sun, Yonghui Xu, Yong Liu, Wei He, Yali Jiang, Fangzhao Wu, Lizhen Cui:
A Survey on Federated Recommendation Systems. CoRR abs/2301.00767 (2023) - [i45]Zhixiang Su, Di Wang, Chunyan Miao, Lizhen Cui:
Multi-Aspect Explainable Inductive Relation Prediction by Sentence Transformer. CoRR abs/2301.01664 (2023) - [i44]Wei Yuan, Chaoqun Yang, Quoc Viet Hung Nguyen, Lizhen Cui, Tieke He, Hongzhi Yin:
Interaction-level Membership Inference Attack Against Federated Recommender Systems. CoRR abs/2301.10964 (2023) - [i43]Tong Zhang, Yong Liu, Boyang Li, Zhiwei Zeng, Pengwei Wang, Yuan You, Chunyan Miao, Lizhen Cui:
History-Aware Hierarchical Transformer for Multi-session Open-domain Dialogue System. CoRR abs/2302.00907 (2023) - [i42]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) - [i41]Nan Yang, Xuanyu Chen, Charles Z. Liu, Dong Yuan, Wei Bao, Lizhen Cui:
FedMAE: Federated Self-Supervised Learning with One-Block Masked Auto-Encoder. CoRR abs/2303.11339 (2023) - [i40]Yunke Qu, Tong Chen, Xiangyu Zhao, Lizhen Cui, Kai Zheng, Hongzhi Yin:
Continuous Input Embedding Size Search For Recommender Systems. CoRR abs/2304.03501 (2023) - [i39]Xuhui Ren, Tong Chen, Quoc Viet Hung Nguyen, Lizhen Cui, Zi Huang, Hongzhi Yin:
Explicit Knowledge Graph Reasoning for Conversational Recommendation. CoRR abs/2305.00783 (2023) - [i38]Wei Yuan, Liang Qu, Lizhen Cui, Yongxin Tong, Xiaofang Zhou, Hongzhi Yin:
HeteFedRec: Federated Recommender Systems with Model Heterogeneity. CoRR abs/2307.12810 (2023) - [i37]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) - [i36]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) - [i35]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) - [i34]Zhixiang Su, Di Wang, Chunyan Miao, Lizhen Cui:
Anchoring Path for Inductive Relation Prediction in Knowledge Graphs. CoRR abs/2312.13596 (2023) - 2022
- [j85]Zilin Wang, Lizhen Cui, Wei Guo, Lei Zhao, Xin Yuan, Xiaosong Gu, Weizhong Tang, Lingguo Bu, Weiming Huang:
A design method for an intelligent manufacturing and service system for rehabilitation assistive devices and special groups. Adv. Eng. Informatics 51: 101504 (2022) - [j84]Hao Wu, Pengyu Zhang, Zhaoheng Ai, Leyi Wei, Hongming Zhang, Fan Yang, Lizhen Cui:
StackTADB: a stacking-based ensemble learning model for predicting the boundaries of topologically associating domains (TADs) accurately in fruit flies. Briefings Bioinform. 23(2) (2022) - [j83]Fan Yang, Shuaijie Zhang, Wei Pan, Ruiyuan Yao, Weiguo Zhang, Yanchun Zhang, Guoyin Wang, Qianghua Zhang, Yunlong Cheng, Jihua Dong, Chunyang Ruan, Lizhen Cui, Hao Wu, Fuzhong Xue:
Signaling repurposable drug combinations against COVID-19 by developing the heterogeneous deep herb-graph method. Briefings Bioinform. 23(5) (2022) - [j82]Haiting Zhong, Wei He, Lizhen Cui, Lei Liu, Zhongmin Yan, Kun Zhao:
Joint Attention Networks with Inherent and Contextual Preference-Awareness for Successive POI Recommendation. Data Sci. Eng. 7(4): 370-382 (2022) - [j81]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) - [j80]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) - [j79]Xiao Xue, Guanding Li, Deyu Zhou, Yepeng Zhang, Lu Zhang, Yang Zhao, Zhiyong Feng, Lizhen Cui, Zhangbing Zhou, Xiao Sun, Xudong Lu, Shizhan Chen:
Research Roadmap of Service Ecosystems: A Crowd Intelligence Perspective. Int. J. Crowd Sci. 6(4): 195-222 (2022) - [j78]