Shiqing Wu

According to our database, Shiqing Wu authored at least 20 papers between 2019 and 2023.

Collaborative distances:

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

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

MP6D: An RGB-D Dataset for Metal Parts' 6D Pose Estimation.

Long Chen, Han Yang, Chenrui Wu, Shiqing Wu

IEEE Robotics Autom. Lett., 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