A Groupware-supported Workflow Model and its Applications in Electric Power Enterprise. - Wei He 020; Haiyang Wang; Li-zhen Cui (CSCWD, 2007)

A Multi-Dimensional Measuring Model for E-travel Service in Decentralized Network. - Wei He 020; Lixin Du; Haiyang Wang; Li-zhen Cui (ICEE, 2010)

An efficient service search strategy in decentralized e-business environments. - Wei He 020; Yongqing Zheng; Li-zhen Cui (NCM, 2010)

An Adaptive Distribution Model for Multi-dimensional Data in Decentralized Environments. - Wei He 020; Li-zhen Cui (WISM (1), 2011)

A context-based collaboration supported framework for E-commerce PaaS platform. - Zongshui Xiao; Wei He 020; Ting Li; Li-zhen Cui (CSCWD, 2014)

A Context-Based Autonomous Construction Approach for Procedural Mashups. - Wei He 020; Qingzhong Li; Li-zhen Cui; Ting Li (ICWS, 2014)

User Behavioral Context-Aware Service Recommendation for Personalized Mashups in Pervasive Environments. - Wei He 020; Guozhen Ren; Lizhen Cui; Hui Li 048 (APWeb, 2015)

Maximizing the Availability of Process Services in Mobile Computing Environments. - Wei He 020; Hui Li 048; Lizhen Cui; Shuoyan Lu (SCC, 2016)

Quality-Assure and Budget-Aware Task Assignment for Spatial Crowdsourcing. - Qing Wang; Wei He 020; Xinjun Wang; Lizhen Cui (CollaborateCom, 2016)

Task Assignments in Complex Collaborative Crowdsourcing. - Wei He 020; Lizhen Cui; Cheng Huang (ChineseCSCW, 2018)

Spatial Task Allocation Based on User Trajectory Prediction. - Yun Jiang; Wei He 020; Lizhen Cui; Qian Yang; Zhaohui Peng (ChineseCSCW, 2018)

Answer Aggregation of Crowdsourcing Employing an Improved EM-Based Approach. - Ran Zhang; Lei Liu 003; Lizhen Cui; Wei He 020; Hui Li 048 (ICA3PP (3), 2018)

Spatial Crowdsourcing Task Assignment Based on the Quality of Workers. - Yun Jiang; Lizhen Cui; Yiming Cao; Lei Liu 003; Wei He 020; Li Pan 001; Yongqing Zheng; Qingzhong Li (ICCSE, 2018)

User Location Prediction in Mobile Crowdsourcing Services. - Yun Jiang; Wei He 020; Lizhen Cui; Qian Yang (ICSOC, 2018)

A Dynamic Difficulty-Sensitive Worker Distribution Model for Crowdsourcing Quality Management. - Miao Zheng; Lizhen Cui; Wei He 020; Wei Guo 017; Xudong Lu (CollaborateCom, 2019)

Value-Oriented Ranking of Online Reviews Based on Reviewer-Influenced Graph. - Yiming Cao; Lizhen Cui; Wei He 020 (DASFAA (3), 2019)

D-colSimulation: A Distributed Approach for Frequent Graph Pattern Mining based on colSimulation in a Single Large Graph. - Guanqi Hua; Junhua Zhang; Lizhen Cui; Wei Guo 017; Xudong Lu; Wei He 020 (SCC, 2020)

A Pruned DOM-Based Iterative Strategy for Approximate Global Optimization in Crowdsourcing Microtasks. - Lizhen Cui; Jing Chen; Wei He 020; Hui Li 048; Wei Guo 017 (APWeb/WAIM (1), 2020)

An Iterative Feedback Mechanism for Auto-Optimizing Software Resource Allocation in Multi-Tier Web Systems. - Xiaojing Yin; Jiwei Huang; Lei Liu 003; Wei He 020; Lizhen Cui (CCGRID, 2020)

Predicting Hospital Readmission Using Graph Representation Learning Based on Patient and Disease Bipartite Graph. - Zhiqi Liu; Lizhen Cui; Wei Guo 017; Wei He 020; Hui Li 048; Jun Gao (DASFAA (2), 2020)

Answer Aggregation for Crowdsourcing Microtasks using Approximate Global Optimal Searching. - Lizhen Cui; Jing Chen; Wei He 020; Wei Guo 017 (ICWS, 2020)

Task Assignment with Consensus Decision for Spatial Crowdsouring. - Xiaomeng Lian; Wei He 020; Lizhen Cui; Hui Li 048; Lei Liu 003 (ISPA/BDCloud/SocialCom/SustainCom, 2020)

Multi-interest Aware Recommendation in CrowdIntell Network. - Yixin Zhang; Wei He 020; Lizhen Cui; Lei Liu 003; Zhongmin Yan (ISPA/BDCloud/SocialCom/SustainCom, 2020)

Personalized Clinical Pathway Recommendation via Attention Based Pre-training. - Xijie Lin; Yuan Li; Yonghui Xu; Wei Guo 017; Wei He 020; Honglu Zhang; Lizhen Cui; Chunyan Miao (BIBM, 2021)

Achieving Approximate Global Optimization of Truth Inference for Crowdsourcing Microtasks. - Lizhen Cui; Jing Chen; Wei He 020; Hui Li 048; Wei Guo 017; Zhiyuan Su (Data Sci. Eng., 2021)

Behavioral data assists decisions: exploring the mental representation of digital-self. - Yixin Zhang; Lizhen Cui; Wei He 020; Xudong Lu; Shipeng Wang 001 (Int. J. Crowd Sci., 2021)

Group task allocation approach for heterogeneous software crowdsourcing tasks. - Xiaojing Yin; Jiwei Huang; Wei He 020; Wei Guo 017; Han Yu 001; Lizhen Cui (Peer-to-Peer Netw. Appl., 2021)

Temporal Hypergraph for Personalized Clinical Pathway Recommendation. - Fanglin Zhu; Shunyu Chen; Yonghui Xu; Wei He 020; Fuqiang Yu; Xu Zhang; Lizhen Cui (BIBM, 2022)

Balancing Supply and Demand for Mobile Crowdsourcing Services. - Zhaoming Li; Wei He 020; Ning Liu 014; Yonghui Xu; Lizhen Cui; Kaiyuan Qi (ICSOC, 2022)

Combining User Inherent and Contextual Preferences for Online Recommendation in Location-Based Services. - Haiting Zhong; Wei He 020; Lizhen Cui; Lei Liu 003 (ICSOC, 2022)

Enhancing Sequential Recommendation with Graph Contrastive Learning. - Yixin Zhang; Yong Liu 020; Yonghui Xu; Hao Xiong; Chenyi Lei; Wei He 020; Lizhen Cui; Chunyan Miao (IJCAI, 2022)

FeedRec: News Feed Recommendation with Various User Feedbacks. - Chuhan Wu; Fangzhao Wu; Tao Qi; Qi Liu 003; Xuan Tian; Jie Li; Wei He 020; Yongfeng Huang 001; Xing Xie 001 (WWW, 2022)

Stationary response determination of MDOF fractional nonlinear systems subjected to combined colored noise and periodic excitation. - Fan Kong; Huimin Zhang; Yixin Zhang; Panpan Chao; Wei He 020 (Commun. Nonlinear Sci. Numer. Simul., 2022)

Joint Attention Networks with Inherent and Contextual Preference-Awareness for Successive POI Recommendation. - Haiting Zhong; Wei He 020; Lizhen Cui; Lei Liu 003; Zhongmin Yan; Kun Zhao (Data Sci. Eng., 2022)

CK-Encoder: Enhanced Language Representation for Sentence Similarity. - Tao Jiang; Fengjian Kang; Wei Guo 017; Wei He 020; Lei Liu 003; Xudong Lu; Yonghui Xu; Lizhen Cui (Int. J. Crowd Sci., 2022)

Brain Functional Residual Temporal Convolution Network for Major Depressive Disorder Recognition. - Xiaofang Sun 003; Wei He 020; Yonghui Xu; Yali Jiang; Xiangwei Zheng 001; Yongqing Zheng; Wei Guo 017; Lizhen Cui (BIBM, 2023)

A Comprehensive Review of the Oversmoothing in Graph Neural Networks. - Xu Zhang; Yonghui Xu; Wei He 020; Wei Guo 017; Lizhen Cui (ChineseCSCW (1), 2023)

Towards Distributed Graph Representation Learning. - Hanlin Zhang; Yue Zhang; Wei He 020; Yonghui Xu; Lizhen Cui (ChineseCSCW (1), 2023)

Cross-Domain Disentangled Learning for E-Commerce Live Streaming Recommendation. - Yixin Zhang; Yong Liu 020; Hao Xiong; Yi Liu 057; Fuqiang Yu; Wei He 020; Yonghui Xu; Lizhen Cui; Chunyan Miao (ICDE, 2023)

ParaTra: A Parallel Transformer Inference Framework for Concurrent Service Provision in Edge Computing. - Fenglong Cai; Dong Yuan 001; Mengwei Xie; Wei He 020; Lanju Kong; Wei Guo 017; Yali Jiang; Lizhen Cui (ICWS, 2023)

An reinforcement learning approach for allocating software resources. - Xiaojing Yin; Jiwei Huang; Lei Liu 003; Wei He 020; Lizhen Cui (Concurr. Comput. Pract. Exp., 2023)

Modeling Long- and Short-Term User Preferences via Self-Supervised Learning for Next POI Recommendation. - Shaowei Jiang; Wei He 020; Lizhen Cui; Yonghui Xu; Lei Liu 003 (ACM Trans. Knowl. Discov. Data, 2023)

Multi-objective Graph Neural Network Explanatory Model with Local and Global Information Preservation. - Yibowen Zhao; Yonghui Xu; Yixin Zhang; Wei He 020; Lizhen Cui (DASFAA (6), 2024)

AutoMP: A Tool to Automate Performance Testing for Model Placement on GPUs. - Zhe Yang; Wei He 020; Fenglong Cai; Yonghui Xu; Wei Guo 017; Lizhen Cui (ISPA, 2024)

FastPTM: Fast weights loading of pre-trained models for parallel inference service provisioning. - Fenglong Cai; Dong Yuan 001; Zhe Yang; Yonghui Xu; Wei He 020; Wei Guo 017; Lizhen Cui (Parallel Comput., 2024)

A capsule-based reinforcement learning framework for supply-demand matching in mobile crowdsourcing. - Yiping Li; Wei He 020; Lizhen Cui; Yonghui Xu; Wei Guo 017; Zhen Feng (Expert Syst. Appl., 2025)

A Survey on Federated Recommendation Systems. - Zehua Sun; Yonghui Xu; Yong Liu 020; Wei He 020; Lanju Kong; Fangzhao Wu; Yali Jiang; Lizhen Cui (IEEE Trans. Neural Networks Learn. Syst., 2025)

DAG-AFL:Directed Acyclic Graph-based Asynchronous Federated Learning. - Shuaipeng Zhang; Lanju Kong; Yixin Zhang; Wei He 020; Yongqing Zheng; Han Yu 001; Lizhen Cui (CoRR, 2025)