Shiqing Wu

According to our database, Shiqing Wu authored at least 32 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Refining Contrastive Learning and Homography Relations for Multi-Modal Recommendation.

Shouxing Ma, Yawen Zeng, Shiqing Wu, Guandong Xu

CoRR, August, 2025

Model-Agnostic Dual-Side Online Fairness Learning for Dynamic Recommendation.

Haoran Tang, Shiqing Wu, Zhihong Cui, Yicong Li, Guandong Xu, Qing Li

IEEE Trans. Knowl. Data Eng., May, 2025

Nudging Toward Responsible Recommendations: A Graph-Based Approach to Mitigate Belief Filter Bubbles.

Mengyan Wang, Yuxuan Hu, Shiqing Wu, Weihua Li, Quan Bai, Zihan Yuan, Chenting Jiang

IEEE Trans. Artif. Intell., February, 2025

TCGC: Temporal Collaboration-Aware Graph Co-Evolution Learning for Dynamic Recommendation.

Haoran Tang, Shiqing Wu, Xueyao Sun, Jun Zeng, Guandong Xu, Qing Li

ACM Trans. Inf. Syst., January, 2025

Causal cascading convolution networks for multi-behavior sequential recommendation.

Dan Lu, Shiqing Wu, Hao Zhang, Guandong Xu, Qilong Han

Inf. Sci., 2025

DyBooster: Leveraging large language model as booster for dynamic recommendation.

Haoran Tang, Xueyao Sun, Shiqing Wu, Zhihong Cui, Guandong Xu, Qing Li

Expert Syst. Appl., 2025

2024

A novel complex network prediction method based on multi-granularity contrastive learning.

Shanshan Sui, Qilong Han, Dan Lu, Shiqing Wu, Guandong Xu

CCF Trans. Pervasive Comput. Interact., December, 2024

Balancing Information Perception with Yin-Yang: Agent-Based Information Neutrality Model for Recommendation Systems.

Mengyan Wang, Yuxuan Hu, Shiqing Wu, Weihua Li, Quan Bai, Verica Rupar

CoRR, 2024

Enhancing Spatiotemporal Prediction with Intra- and Inter-granularity Contrastive Learning.

Qilong Han, Shanshan Sui, Dan Lu, Shiqing Wu, Guandong Xu

Proceedings of the Database Systems for Advanced Applications, 2024

Enhancing Traffic Prediction via Spatial Multi-Granularity Co-Evolving Mechanism.

Shanshan Sui, Qilong Han, Dan Lu, Shiqing Wu, Guandong Xu

Proceedings of the 11th International Conference on Behavioural and Social Computing, 2024

Cascading Hypergraph Convolution Networks for Multi-Behavior Sequential Recommendation.

Dan Lu, Hao Zhang, Lijie Li, Shiqing Wu, Guandong Xu

Proceedings of the 11th International Conference on Behavioural and Social Computing, 2024

Fairness-Aware Mutual Information for Multimodal Recommendation.

Dan Lu, Xu Chen, Rui Chen, Shiqing Wu, Guandong Xu

Proceedings of the 11th International Conference on Behavioural and Social Computing, 2024

Learning Influential Relationships for Implicit Influence Maximization in Unknown Networks.

Shiqing Wu, Guandong Xu

Proceedings of the 11th International Conference on Behavioural and Social Computing, 2024

2023

DOR: a novel dual-observation-based approach for recommendation systems.

Mengyan Wang, Weihua Li, Jingli Shi, Shiqing Wu, Quan Bai

Appl. Intell., December, 2023

Identifying influential users in unknown social networks for adaptive incentive allocation under budget restriction.

Shiqing Wu, Weihua Li, Hao Shen, Quan Bai

Inf. Sci., May, 2023

ABEM: An adaptive agent-based evolutionary approach for influence maximization in dynamic social networks.

Weihua Li, Yuxuan Hu, Chenting Jiang, Shiqing Wu, Quan Bai, Edmund M.-K. Lai

Appl. Soft Comput., March, 2023

Game theory based compatible incentive mechanism design for non-cryptocurrency blockchain systems.

Xiang Li, Qing Liu, Shiqing Wu, Zehong Cao, Quan Bai

J. Ind. Inf. Integr., February, 2023

GAC: A deep reinforcement learning model toward user incentivization in unknown social networks.

Shiqing Wu, Weihua Li, Quan Bai

Knowl. Based Syst., 2023

BHEISR: Nudging from Bias to Balance - Promoting Belief Harmony by Eliminating Ideological Segregation in Knowledge-based Recommendations.

Mengyan Wang, Yuxuan Hu, Zihan Yuan, Chenting Jiang, Weihua Li, Shiqing Wu, Quan Bai

CoRR, 2023

DOR: A Novel Dual-Observation-Based Approach for News Recommendation Systems.

Mengyan Wang, Weihua Li, Jingli Shi, Shiqing Wu, Quan Bai

CoRR, 2023

Dynamic Graph Evolution Learning for Recommendation.

Haoran Tang, Shiqing Wu, Guandong Xu, Qing Li

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

BeECD: Belief-Aware Echo Chamber Detection over Twitter Stream.

Guan Wang, Weihua Li, Shiqing Wu, Quan Bai, Edmund M.-K. Lai

Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2023

SOAC: Supervised Off-Policy Actor-Critic for Recommender Systems.

Shiqing Wu, Guandong Xu, Xianzhi Wang

Proceedings of the IEEE International Conference on Data Mining, 2023

IE-Evo: Internal and External Evolution-Enhanced Temporal Knowledge Graph Forecasting.

Kangzheng Liu, Feng Zhao, Guandong Xu, Shiqing Wu

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Proceedings of Principle and practice of data and Knowledge Acquisition Workshop 2022 (PKAW 2022).

Qing Liu, Wenli Yang, Shiqing Wu

CoRR, 2022

AI Facilitated Isolations? The Impact of Recommendation-based Influence Diffusion in Human Society.

Yuxuan Hu, Shiqing Wu, Chenting Jiang, Weihua Li, Quan Bai, Erin Roehrer

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

An Operator-Based Approach for Modeling Influence Diffusion in Complex Social Networks.

Chenting Jiang, Anthony D'Arienzo, Weihua Li, Shiqing Wu, Quan Bai

J. Soc. Comput., 2021

ABEM: An Adaptive Agent-based Evolutionary Approach for Mining Influencers in Online Social Networks.

Weihua Li, Yuxuan Hu, Shiqing Wu, Quan Bai, Edmund M.-K. Lai

CoRR, 2021

OMT: An Operate-Based Approach for Modelling Multi-topic Influence Diffusion in Online Social Networks.

Chenting Jiang, Weihua Li, Shiqing Wu, Quan Bai

Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

Learning Policies for Effective Incentive Allocation in Unknown Social Networks.

Shiqing Wu, Quan Bai, Weihua Li

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2019

Adaptive Incentive Allocation for Influence-Aware Proactive Recommendation.

Shiqing Wu, Quan Bai, Byeong Ho Kang

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Incentivizing Long-Term Engagement Under Limited Budget.

Shiqing Wu, Quan Bai

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019