Lizhen Cui

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 291

Top Venues

Publications

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) (2024)
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) (2024)
Liang Qu, Wei Yuan, Ruiqi Zheng, Lizhen Cui, Yuhui Shi, Hongzhi Yin
Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation. CoRR (2024)
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 (2024)
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) (2024)
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) (2024)
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)
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)
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 (2023)
Wei Yuan, Liang Qu, Lizhen Cui, Yongxin Tong, Xiaofang Zhou, Hongzhi Yin
HeteFedRec: Federated Recommender Systems with Model Heterogeneity. CoRR (2023)
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)
Guanhua Duan, Yankun Cao, Wei Guo, Lizhen Cui, Zhi Liu
A Virtual Staining Method for Immunohistochemical Images of Breast Cancer. CISP-BMEI (2023)
Xuhui Ren, Tong Chen, Quoc Viet Hung Nguyen, Lizhen Cui, Zi Huang, Hongzhi Yin
Explicit Knowledge Graph Reasoning for Conversational Recommendation. CoRR (2023)
Qianwen Meng, Yonghui Xu, Fanglin Zhu, Lizhen Cui
Advancing Precision Medicine: Treatment Regimen Recommendations via Siamese Neural Networks. BIBM (2023)
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)
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) (2023)
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)
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 (2023)
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)
Alysa Ziying Tan, Han Yu, Lizhen Cui, Qiang Yang
Towards Personalized Federated Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
Zehua Sun, Yonghui Xu, Yong Liu, Wei He, Yali Jiang, Fangzhao Wu, Lizhen Cui
A Survey on Federated Recommendation Systems. CoRR (2023)
Ziwei Huang, Lu Bai, Lizhen Cui, Tao Feng
A Space-Time Non-Stationary and Consistent Model for 6G Multi-UAV Cooperative Channels. ICCC (2023)
Zhe Qu, Lizhen Cui, Yonghui Xu
DP-MHAN: A Disease Prediction Method Based on Metapath Aggregated Heterogeneous Graph Attention Networks. DASFAA (4) (2023)
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)
Yu Zhang, Yonghui Xu, Lizhen Cui, Zhongmin Yan
Multi-View Graph Contrastive Learning for Urban Region Representation. IJCNN (2023)
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) (2023)
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)
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 (2023)
Yunke Qu, Tong Chen, Xiangyu Zhao, Lizhen Cui, Kai Zheng, Hongzhi Yin
Continuous Input Embedding Size Search For Recommender Systems. SIGIR (2023)
Zhixiang Su, Di Wang, Chunyan Miao, Lizhen Cui
Anchoring Path for Inductive Relation Prediction in Knowledge Graphs. CoRR (2023)
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)
Xiuxiu Ren, Xiangwei Zheng, Lizhen Cui, Gang Wang, Huiyu Zhou
Asymmetric similarity-preserving discrete hashing for image retrieval. Appl. Intell. 53 (10) (2023)
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)
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)
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 (2023)
Qianwen Meng, Hangwei Qian, Yong Liu, Yonghui Xu, Zhiqi Shen, Lizhen Cui
Unsupervised Representation Learning for Time Series: A Review. CoRR (2023)
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) (2023)
Zhixiang Su, Di Wang, Chunyan Miao, Lizhen Cui
Multi-Aspect Explainable Inductive Relation Prediction by Sentence Transformer. CoRR (2023)
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) (2023)
Zhixiang Su, Di Wang, Chunyan Miao, Lizhen Cui
Multi-Aspect Explainable Inductive Relation Prediction by Sentence Transformer. AAAI (2023)
Chang'an Yi, Haotian Chen, Yifan Zhang, Yonghui Xu, Lizhen Cui
A Critical Look at Classic Test-Time Adaptation Methods in Semantic Segmentation. CoRR (2023)
Hongyu Qiu, Yongwei Wang, Yonghui Xu, Lizhen Cui, Zhiqi Shen
FedCIO: Efficient Exact Federated Unlearning with Clustering, Isolation, and One-shot Aggregation. BigData (2023)
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) (2023)
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) (2023)
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 (2023)
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)
Yunke Qu, Tong Chen, Xiangyu Zhao, Lizhen Cui, Kai Zheng, Hongzhi Yin
Continuous Input Embedding Size Search For Recommender Systems. CoRR (2023)
Shipeng Wang, Qingzhong Li, Lizhen Cui, Yali Jiang, Zhiqi Shen, Han Yu
CSP-RM: Reputation Management Decision Support for Crowdsourcing Service Providers. ICWS (2023)
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)
Caiyan Li, Lizhen Cui, Yonghui Xu, Ning Liu
Logic Event Graph Enhanced Narrative Generation. CSCWD (2023)
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)
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) (2023)
Wei Yuan, Chaoqun Yang, Quoc Viet Hung Nguyen, Lizhen Cui, Tieke He, Hongzhi Yin
Interaction-level Membership Inference Attack Against Federated Recommender Systems. CoRR (2023)
Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Quoc Viet Hung Nguyen, Lizhen Cui
PipAttack: Poisoning Federated Recommender Systems for Manipulating Item Promotion. WSDM (2022)
Xiangping Kang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Wei Guo, Yazhou Ren, Xiayan Zhang, Lizhen Cui
Self-paced annotations of crowd workers. Knowl. Inf. Syst. 64 (12) (2022)
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)
Shuaiying Zhang, Wentao An, Yue Zhang, Lizhen Cui, Chunhua Xie
Wetlands Classification Using Quad-Polarimetric Synthetic Aperture Radar Through Convolutional Neural Networks Based on Polarimetric Features. Remote. Sens. 14 (20) (2022)
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) (2022)
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) (2022)
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) (2022)
Fanglin Zhu, Shunyu Chen, Yonghui Xu, Wei He, Fuqiang Yu, Xu Zhang, Lizhen Cui
Temporal Hypergraph for Personalized Clinical Pathway Recommendation. BIBM (2022)
Fuqiang Yu, Lizhen Cui, Yiming Cao, Fanglin Zhu, Yonghui Xu, Ning Liu
Feature-Guided Logical Perception Network for Health Risk Prediction. BIBM (2022)
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)
Zhaoming Li, Wei He, Ning Liu, Yonghui Xu, Lizhen Cui, Kaiyuan Qi
Balancing Supply and Demand for Mobile Crowdsourcing Services. ICSOC (2022)
Wei Guo, Lanju Kong, Xudong Lu, Lizhen Cui
An Intelligent Genetic Scheme for Multi-Objective Collaboration Services Scheduling. Symmetry 14 (10) (2022)
Qianwen Meng, Hangwei Qian, Yong Liu, Yonghui Xu, Zhiqi Shen, Lizhen Cui
MHCCL: Masked Hierarchical Cluster-wise Contrastive Learning for Multivariate Time Series. CoRR (2022)
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. EMNLP (Findings) (2022)
Wei Yuan, Hongzhi Yin, Tieke He, Tong Chen, Qiufeng Wang, Lizhen Cui
Unified Question Generation with Continual Lifelong Learning. WWW (2022)
Yixin Zhang, Yong Liu, Yonghui Xu, Hao Xiong, Chenyi Lei, Wei He, Lizhen Cui, Chunyan Miao
Enhancing Sequential Recommendation with Graph Contrastive Learning. CoRR (2022)
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)
Xiaofei Wu, Hao Wang, Chunpeng Ge, Lu Zhou, Qiong Huang, Lanju Kong, Lizhen Cui, Zhe Liu
CCOM: Cost-Efficient and Collusion-Resistant Oracle Mechanism for Smart Contracts. ACISP (2022)
Zhihong Cui, Hongxu Chen, Lizhen Cui, Shijun Liu, Xueyan Liu, Guandong Xu, Hongzhi Yin
Reinforced KGs reasoning for explainable sequential recommendation. World Wide Web 25 (2) (2022)
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) (2022)
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)
Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Lizhen Cui, Quoc Viet Hung Nguyen
Are Graph Augmentations Necessary?: Simple Graph Contrastive Learning for Recommendation. SIGIR (2022)
Jingfeng Zhang, Xilie Xu, Bo Han, Tongliang Liu, Lizhen Cui, Gang Niu, Masashi Sugiyama
NoiLin: Improving adversarial training and correcting stereotype of noisy labels. Trans. Mach. Learn. Res. 2022 (2022)
Fuqiang Yu, Lizhen Cui, Yiming Cao, Ning Liu, Weiming Huang, Yonghui Xu
Similarity-Aware Collaborative Learning for Patient Outcome Prediction. DASFAA (2) (2022)
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) (2022)
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)
Xiaoning Zong, Yong Liu, Yonghui Xu, Yixin Zhang, Zhiqi Shen, Yonghua Yang, Lizhen Cui
SAER: Sentiment-Opinion Alignment Explainable Recommendation. DASFAA (2) (2022)
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)
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) (2022)
Zhe Qu, Lizhen Cui, Yonghui Xu
Disease Risk Prediction via Heterogeneous Graph Attention Networks. BIBM (2022)
Zelei Liu, Yuanyuan Chen, Han Yu, Yang Liu, Lizhen Cui
GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning. ACM Trans. Intell. Syst. Technol. 13 (4) (2022)
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)
Wei Yuan, Hongzhi Yin, Tieke He, Tong Chen, Qiufeng Wang, Lizhen Cui
Unified Question Generation with Continual Lifelong Learning. CoRR (2022)
Ranran Zhang, Yankun Cao, Yujun Li, Zhi Liu, Jianye Wang, Jiahuan He, Chenyang Zhang, Xiaoyu Sui, Pengfei Zhang, Lizhen Cui, Shuo Li
MVFStain: Multiple virtual functional stain histopathology images generation based on specific domain mapping. Medical Image Anal. 80 (2022)
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 (2022)
Zhixiang Su, Di Wang, Xiaofeng Zhang, Lizhen Cui, Chunyan Miao
Efficient Reachability Query with Extreme Labeling Filter. WSDM (2022)
Shipeng Wang, Qingzhong Li, Lizhen Cui, Zhongmin Yan, Yonghui Xu, Zhuan Shi, Zhiqi Shen, Han Yu
Towards AI-Empowered Crowdsourcing. CoRR (2022)
Haiting Zhong, Wei He, Lizhen Cui, Lei Liu
Combining User Inherent and Contextual Preferences for Online Recommendation in Location-Based Services. ICSOC (2022)
Jun Lin, Yonghui Xu, Wei Guo, Lizhen Cui, Chunyan Miao
XIVA: An Intelligent Voice Assistant with Scalable Capabilities for Educational Metaverse. CICAI (3) (2022)
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)
Junhua Zhang, Wentao Li, Lu Qin, Ying Zhang, Dong Wen, Lizhen Cui, Xuemin Lin
Reachability Labeling for Distributed Graphs. ICDE (2022)
Junliang Yu, Xin Xia, Tong Chen, Lizhen Cui, Nguyen Quoc Viet Hung, Hongzhi Yin
XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation. CoRR (2022)
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. CoRR (2022)
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) (2022)
Xudong Lu, Lizhen Cui, Zhenchao Sun, Yuening Zhu
ProAID: path-based reasoning for self-attentional disease prediction. Knowl. Inf. Syst. 63 (12) (2021)
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)
Sixiao Zhang, Hongxu Chen, Xiao Ming, Lizhen Cui, Hongzhi Yin, Guandong Xu
Where are we in embedding spaces? A Comprehensive Analysis on Network Embedding Approaches for Recommender Systems. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Lizhen Cui