A Non-interactive Secure Outsourced Computation Scheme in Multi-party Cloud. - Shu Guo; Haixia Xu (INCoS, 2012)

Public Verification of Outsourced Computation of Polynomial Functions. - Peili Li; Haixia Xu 002; Shu Guo (TrustCom/ISPA/IUCC, 2013)

Semantically Smooth Knowledge Graph Embedding. - Shu Guo; Quan Wang 002; Bin Wang 004; Lihong Wang; Li Guo 001 (ACL (1), 2015)

A secure delegation scheme of large polynomial computation in multi-party cloud. - Shu Guo; Haixia Xu (Int. J. Grid Util. Comput., 2015)

Diagnosis of Elevator Faults with LS-SVM Based on Optimization by K-CV. - Zhou Wan; Shilin Yi; Kun Li; Ran Tao; Min Gou; Xinshi Li; Shu Guo (J. Electr. Comput. Eng., 2015)

Knowledge Base Completion via Rule-Enhanced Relational Learning. - Shu Guo; Boyang Ding; Quan Wang 002; Lihong Wang; Bin Wang 004 (CCKS, 2016)

Jointly Embedding Knowledge Graphs and Logical Rules. - Shu Guo; Quan Wang 002; Lihong Wang; Bin Wang 004; Li Guo 001 (EMNLP, 2016)

Improvement of traffic percolation based on bottlenecks. - Ruoqian Wu; Shu Guo; Benhao Yang; Daqing Li (ICSRS, 2017)

SSE: Semantically Smooth Embedding for Knowledge Graphs. - Shu Guo; Quan Wang 002; Bin Wang 004; Lihong Wang; Li Guo 001 (IEEE Trans. Knowl. Data Eng., 2017)

Knowledge Graph Embedding With Iterative Guidance From Soft Rules. - Shu Guo; Quan Wang 002; Lihong Wang; Bin Wang 004; Li Guo 001 (AAAI, 2018)

Responsive supply in fashion mass customisation systems with consumer returns. - Tsan-Ming Choi; Shu Guo (Int. J. Prod. Res., 2018)

Inventory Management in Mass Customization Operations: A Review. - Shu Guo; Tsan-Ming Choi; Bin Shen 006; Sojin Jung (IEEE Trans. Engineering Management, 2019)

A Comparison Study of Three Types of Parameter Estimation Methods on Weibull Model. - Shu Guo; Xiaofeng Wang; Yang Liu; Xiaogang Zhu; Ying Zhai (ATCI, 2020)

Knowledge Graph Embedding Preserving Soft Logical Regularity. - Shu Guo; Lin Li 060; Zhen Hui; Lingshuai Meng; Bingnan Ma; Wei Liu; Lihong Wang; Haibin Zhai; Hong Zhang 023 (CIKM, 2020)

Adaptive Attentional Network for Few-Shot Knowledge Graph Completion. - Jiawei Sheng; Shu Guo; Zhenyu Chen; Juwei Yue; Lihong Wang; Tingwen Liu; Hongbo Xu (EMNLP (1), 2020)

Franchising contracts in fashion supply chain operations: models, practices, and real case study. - Yue Chen; Sai-Ho Chung; Shu Guo (Ann. Oper. Res., 2020)

Is a 'free lunch' a good lunch? The performance of zero wholesale price-based supply-chain contracts. - Tsan-Ming Choi; Shu Guo (Eur. J. Oper. Res., 2020)

Optimal pricing in on-demand-service-platform-operations with hired agents and risk-sensitive customers in the blockchain era. - Tsan-Ming Choi; Shu Guo; Na Liu; Xiutian Shi (Eur. J. Oper. Res., 2020)

Green product development under competition: A study of the fashion apparel industry. - Shu Guo; Tsan-Ming Choi; Bin Shen 006 (Eur. J. Oper. Res., 2020)

Influences of supply chain finance on the mass customization program: risk attitudes and cash flow shortage. - Shu Guo; Na Liu (Int. Trans. Oper. Res., 2020)

Optimization of preventive maintenance for series manufacturing system by differential evolution algorithm. - Xiaofeng Wang; Shu Guo; Jian Shen; Yang Liu (J. Intell. Manuf., 2020)

Network endurance against cascading overload failure. - Jilong Zhong; Hillel Sanhedrai; Fengming Zhang; Yi Yang 006; Shu Guo; Shunkun Yang; Daqing Li (Reliab. Eng. Syst. Saf., 2020)

Central Sleep Apnea Alters Neuronal Excitability and Increases the Randomness in Sleep-Wake Transitions. - Hila Dvir; Shu Guo; Shlomo Havlin; Ni Xin; Tai Jun; Daqing Li; Zhifei Xu; Rui Kang; Ronny P. Bartsch (IEEE Trans. Biomed. Eng., 2020)

Coordination and Enhancement Schemes for Quick Response Mass Customization Supply Chains With Consumer Returns and Salvage Value Considerations. - Shu Guo; Tsan-Ming Choi; Bin Shen 006; Sojin Jung (IEEE Trans. Syst. Man Cybern. Syst., 2020)

CasEE: A Joint Learning Framework with Cascade Decoding for Overlapping Event Extraction. - Jiawei Sheng; Shu Guo; Bowen Yu 002; Qian Li 033; Yiming Hei; Lihong Wang; Tingwen Liu; Hongbo Xu (ACL/IJCNLP (Findings), 2021)

A Dual-Classifier Model for General Fine-Grained Event Detection Task. - Yiming Hei; Qian Li 033; Caibo Zhou; Rui Sun; Jinglin Yang; Jiawei Sheng; Shu Guo; Lihong Wang (CCKS (Evaluation Track), 2021)

Two-tier Graph Contextual Embedding for Cross-device User Matching. - Hongren Huang; Shu Guo; Chen Li 046; Jiawei Sheng; Lihong Wang; Jianxin Li 002; Jing Liu; Shenghai Zhong (CIKM, 2021)

Zhuang Characteristic Culture Detection Based on Improved YOLOV3-SPP Network. - Shu Guo; Baohua Qiang; Wu Xie; Yijie Zhai; Ruidong Chen; Hong Zheng (ICGEC, 2021)

Deep Structural Point Process for Learning Temporal Interaction Networks. - Jiangxia Cao; Xixun Lin; Xin Cong; Shu Guo; Hengzhu Tang; Tingwen Liu; Bin Wang 004 (ECML/PKDD (1), 2021)

Bipartite Graph Embedding via Mutual Information Maximization. - Jiangxia Cao; Xixun Lin; Shu Guo; Luchen Liu; Tingwen Liu; Bin Wang 004 (WSDM, 2021)

Multi-level Connection Enhanced Representation Learning for Script Event Prediction. - Lihong Wang; Juwei Yue; Shu Guo; Jiawei Sheng; Qianren Mao; Zhenyu Chen; Shenghai Zhong; Chen Li 046 (WWW, 2021)

Attend and Select: A Segment Attention based Selection Mechanism for Microblog Hashtag Generation. - Qianren Mao; Xi Li 001; Hao Peng 001; Bang Liu; Shu Guo; Jianxin Li 002; Lihong Wang; Philip S. Yu (CoRR, 2021)

Deep Learning Schema-based Event Extraction: Literature Review and Current Trends. - Qian Li 033; Hao Peng 001; Jianxin Li 002; Yiming Hei; Rui Sun; Jiawei Sheng; Shu Guo; Lihong Wang; Philip S. Yu (CoRR, 2021)

High-Speed Light Focusing through Scattering Medium by Cooperatively Accelerated Genetic Algorithm. - Shu Guo; Lin Pang (CoRR, 2021)

A Joint Learning Framework for the CCKS-2020 Financial Event Extraction Task. - Jiawei Sheng; Qian Li 033; Yiming Hei; Shu Guo; Bowen Yu 002; Lihong Wang; Min He; Tingwen Liu; Hongbo Xu (Data Intell., 2021)

Event prediction based on evolutionary event ontology knowledge. - Qianren Mao; Xi Li 001; Hao Peng 001; Jianxin Li 002; Dongxiao He; Shu Guo; Min He; Lihong Wang (Future Gener. Comput. Syst., 2021)

A cost-effective adaptive random testing algorithm for object-oriented software testing. - Yue Zhou; Xiujun Wang; Shu Guo; Yi Wen; Jingsha He (J. Intell. Fuzzy Syst., 2021)

Core Interests Focused Self-attention for Sequential Recommendation. - Zhengyang Ai; Shupeng Wang; Siyu Jia; Shu Guo (DASFAA (2), 2022)

Multi-interest Extraction Joint with Contrastive Learning for News Recommendation. - Shicheng Wang; Shu Guo; Lihong Wang; Tingwen Liu; Hongbo Xu (ECML/PKDD (1), 2022)

CorED: Incorporating Type-level and Instance-level Correlations for Fine-grained Event Detection. - Jiawei Sheng; Rui Sun; Shu Guo; Shiyao Cui; Jiangxia Cao; Lihong Wang; Tingwen Liu; Hongbo Xu (SIGIR, 2022)

Self-design fun: Should 3D printing be employed in mass customization operations? - Shu Guo; Tsan-Ming Choi; Sai-Ho Chung (Eur. J. Oper. Res., 2022)

Cross-knowledge-graph entity alignment via relation prediction. - Hongren Huang; Chen Li 046; Xutan Peng; Lifang He 001; Shu Guo; Hao Peng 001; Lihong Wang; Jianxin Li 002 (Knowl. Based Syst., 2022)

Attend and select: A segment selective transformer for microblog hashtag generation. - Qianren Mao; Xi Li 001; Bang Liu; Shu Guo; Peng Hao; Jianxin Li 002; Lihong Wang (Knowl. Based Syst., 2022)

Operational Lifetime-Stress Model for Complex Networks. - Shu Guo; Dong Zhou; Jilong Zhong; Shunkun Yang; Rui Kang; Yi Ding 001; Daqing Li (IEEE Trans. Reliab., 2022)

Dual-Gated Fusion with Prefix-Tuning for Multi-Modal Relation Extraction. - Qian Li 033; Shu Guo; Cheng Ji 001; Xutan Peng; Shiyao Cui; Jianxin Li 002; Lihong Wang (ACL (Findings), 2023)

Uncertain Relational Hypergraph Attention Networks for Document-Level Event Factuality Identification. - Jiawei Sheng; Xin Cong; Jiangxia Cao; Shu Guo; Chen Li 046; Lihong Wang; Tingwen Liu; Hongbo Xu (ECAI, 2023)

Multi-Modal Knowledge Graph Transformer Framework for Multi-Modal Entity Alignment. - Qian Li 033; Cheng Ji 001; Shu Guo; Zhaoji Liang; Lihong Wang; Jianxin Li 002 (EMNLP (Findings), 2023)

HDNR: A Hyperbolic-Based Debiased Approach for Personalized News Recommendation. - Shicheng Wang; Shu Guo; Lihong Wang; Tingwen Liu; Hongbo Xu (SIGIR, 2023)

Attribute-Consistent Knowledge Graph Representation Learning for Multi-Modal Entity Alignment. - Qian Li 033; Shu Guo; Yangyifei Luo; Cheng Ji 001; Lihong Wang; Jiawei Sheng; Jianxin Li 002 (WWW, 2023)

Dual-Gated Fusion with Prefix-Tuning for Multi-Modal Relation Extraction. - Qian Li 033; Shu Guo; Cheng Ji 001; Xutan Peng; Shiyao Cui; Jianxin Li 002 (CoRR, 2023)

Applications of Blockchain Technology in Sustainable Fashion Supply Chains: Operational Transparency and Environmental Efforts. - Shu Guo; Xuting Sun; Hugo K. S. Lam (IEEE Trans. Engineering Management, 2023)

Second-Hand-Clothing Imports in Least-Developed-Countries: The Collapse of Local Clothing Manufacturing and Remedial Measures. - Shu Guo; Tsan-Ming Choi; Juzhi Zhang (IEEE Trans. Engineering Management, 2023)

Mobile user identification based on road networks and multiple distance measures. - Yue Fan; Huiwen Wang; Lihong Wang; Shu Guo; Jing Liu (Trans. GIS, 2023)

Fashion platform operations in the sharing economy with digital technologies: recent development and real case studies. - Na Liu; Jiaxin Lin; Shu Guo; Xiutian Shi (Ann. Oper. Res., 2023)

Event Extraction by Associating Event Types and Argument Roles. - Qian Li 033; Shu Guo; Jia Wu 001; Jianxin Li 002; Jiawei Sheng; Hao Peng 001; Lihong Wang (IEEE Trans. Big Data, 2023)

A novel trajectory similarity measurement method based on node-sequence hierarchical digraph. - Yue Fan; Huiwen Wang; Lihong Wang; Shu Guo; Jing Liu (Trans. GIS, 2023)

Privacy-preserving graph publishing with disentangled variational information bottleneck. - Liya Ma; Chen Li 046; Siqi Sun; Shu Guo; Lihong Wang; Jianxin Li 002 (Concurr. Comput. Pract. Exp., 2024)

Uncertainty-Aware Relational Graph Neural Network for Few-Shot Knowledge Graph Completion. - Qian Li 033; Shu Guo; Yinjia Chen; Cheng Ji 001; Jiawei Sheng; Jianxin Li 002 (CoRR, 2024)

Variational Multi-Modal Hypergraph Attention Network for Multi-Modal Relation Extraction. - Qian Li 033; Cheng Ji 001; Shu Guo; Yong Zhao; Qianren Mao; Shangguang Wang; Yuntao Wei; Jianxin Li 002 (CoRR, 2024)

Decomposition and recombination. A soft cascade model for event detection. - Yiming Hei; Jiawei Sheng; Lihong Wang; Qian Li 033; Shu Guo; Jianwei Liu 001 (Knowl. Based Syst., 2024)

Operational research in health care: Overview and future research agenda. - T. C. E. Cheng; Shu Guo; Chi To Ng 001 (Comput. Ind. Eng., 2024)

Label graph augmented soft cascade decoding model for overlapping event extraction. - Yiming Hei; Lihong Wang; Jiawei Sheng; Jianwei Liu 001; Qian Li 033; Shu Guo (Int. J. Mach. Learn. Cybern., 2024)

A Survey on Deep Learning Event Extraction: Approaches and Applications. - Qian Li 033; Jianxin Li 002; Jiawei Sheng; Shiyao Cui; Jia Wu 001; Yiming Hei; Hao Peng 001; Shu Guo; Lihong Wang; Amin Beheshti; Philip S. Yu (IEEE Trans. Neural Networks Learn. Syst., 2024)

Self-supervised Bipartite Graph Representation Learning: A Dirichlet Max-margin Matrix Factorization Approach. - Shenghai Zhong; Shu Guo; Jing Liu; Hongren Huang; Lihong Wang; Jianxin Li 002; Chen Li 046; Yiming Hei (ACM Trans. Intell. Syst. Technol., 2024)

Towards S²-Challenges Underlying LLM-Based Augmentation for Personalized News Recommendation. - Shicheng Wang; Hengzhu Tang; Li Gao; Shu Guo; Suqi Cheng; Junfeng Wang; Dawei Yin; Tingwen Liu; Lihong Wang (AAAI, 2025)

ccTBG: Co-clustering for Temporal Bipartite Graph. - Shenghai Zhong; Shu Guo; Lihong Wang; Chen Li (ICIC (12), 2025)

RCEAE: A Role Correlation-enhanced Model for Event Argument Extraction. - Yiming Hei; Jiawei Sheng; Shu Guo; Lihong Wang; Qian Li 033; Jianwei Liu 001; Yizhong Liu; Prayag Tiwari (Neurocomputing, 2025)

Supply chain integration in mass customization. - Bin Shen; Jianing Zhang; Ming Cheng; Shu Guo; Renlong He (Ann. Oper. Res., 2025)

A novel coarse-grained knowledge graph embedding framework for platform risk identification from relational data. - Qi Zhang; Shicheng Wang; Lihong Wang; Jiawei Sheng; Shu Guo; Chen Li 046; Min He; Renqiang Zhang (Neural Comput. Appl., 2025)

Microsecond-Level Synchronization Solution for Grid-Edge Devices Utilizing Cellular Networks in GNSS-Challenged Areas. - Sihao Tang; Cheng Liu; Wangwang Ding; Shu Guo; Wenxuan Yao (IEEE Trans. Ind. Informatics, 2025)