Shiqing Wu

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 22

Top Topics

Influence Propagation

Influence Maximization

Recommendation Systems

Top Venues

IEEE Robotics Autom. Lett.

Publications

Xiang Li, Qing Liu, Shiqing Wu, Zehong Cao, Quan Bai
Game theory based compatible incentive mechanism design for non-cryptocurrency blockchain systems. J. Ind. Inf. Integr. 31 (2023)
Haoran Tang, Shiqing Wu, Guandong Xu, Qing Li
Dynamic Graph Evolution Learning for Recommendation. SIGIR (2023)
Mengyan Wang, Yuxuan Hu, Zihan Yuan, Chenting Jiang, Weihua Li, Shiqing Wu, Quan Bai
BHEISR: Nudging from Bias to Balance - Promoting Belief Harmony by Eliminating Ideological Segregation in Knowledge-based Recommendations. CoRR (2023)
Kangzheng Liu, Feng Zhao, Guandong Xu, Shiqing Wu
IE-Evo: Internal and External Evolution-Enhanced Temporal Knowledge Graph Forecasting. ICDM (2023)
Guan Wang, Weihua Li, Shiqing Wu, Quan Bai, Edmund M.-K. Lai
BeECD: Belief-Aware Echo Chamber Detection over Twitter Stream. PRICAI (3) (2023)
Mengyan Wang, Weihua Li, Jingli Shi, Shiqing Wu, Quan Bai
DOR: a novel dual-observation-based approach for recommendation systems. Appl. Intell. 53 (23) (2023)
Shiqing Wu, Weihua Li, Hao Shen, Quan Bai
Identifying influential users in unknown social networks for adaptive incentive allocation under budget restriction. Inf. Sci. 624 (2023)
Mengyan Wang, Weihua Li, Jingli Shi, Shiqing Wu, Quan Bai
DOR: A Novel Dual-Observation-Based Approach for News Recommendation Systems. CoRR (2023)
Shiqing Wu, Weihua Li, Quan Bai
GAC: A deep reinforcement learning model toward user incentivization in unknown social networks. Knowl. Based Syst. 259 (2023)
Weihua Li, Yuxuan Hu, Chenting Jiang, Shiqing Wu, Quan Bai, Edmund M.-K. Lai
ABEM: An adaptive agent-based evolutionary approach for influence maximization in dynamic social networks. Appl. Soft Comput. 136 (2023)
Shiqing Wu, Guandong Xu, Xianzhi Wang
SOAC: Supervised Off-Policy Actor-Critic for Recommender Systems. ICDM (2023)
Long Chen, Han Yang, Chenrui Wu, Shiqing Wu
MP6D: An RGB-D Dataset for Metal Parts' 6D Pose Estimation. IEEE Robotics Autom. Lett. 7 (3) (2022)
Qing Liu, Wenli Yang, Shiqing Wu
Proceedings of Principle and practice of data and Knowledge Acquisition Workshop 2022 (PKAW 2022). CoRR (2022)
Yuxuan Hu, Shiqing Wu, Chenting Jiang, Weihua Li, Quan Bai, Erin Roehrer
AI Facilitated Isolations? The Impact of Recommendation-based Influence Diffusion in Human Society. IJCAI (2022)
Shiqing Wu, Weihua Li, Quan Bai
GAC: A Deep Reinforcement Learning Model Toward User Incentivization in Unknown Social Networks. CoRR (2022)
Shiqing Wu, Weihua Li, Hao Shen, Quan Bai
Identifying Influential Users in Unknown Social Networks for Adaptive Incentive Allocation Under Budget Restriction. CoRR (2021)
Chenting Jiang, Anthony D'Arienzo, Weihua Li, Shiqing Wu, Quan Bai
An Operator-Based Approach for Modeling Influence Diffusion in Complex Social Networks. J. Soc. Comput. 2 (2) (2021)
Shiqing Wu, Quan Bai, Weihua Li
Learning Policies for Effective Incentive Allocation in Unknown Social Networks. AAMAS (2021)
Chenting Jiang, Weihua Li, Shiqing Wu, Quan Bai
OMT: An Operate-Based Approach for Modelling Multi-topic Influence Diffusion in Online Social Networks. WISE (1) (2021)
Weihua Li, Yuxuan Hu, Shiqing Wu, Quan Bai, Edmund Lai
ABEM: An Adaptive Agent-based Evolutionary Approach for Mining Influencers in Online Social Networks. CoRR (2021)
Shiqing Wu, Quan Bai, Byeong Ho Kang
Adaptive Incentive Allocation for Influence-Aware Proactive Recommendation. PRICAI (1) (2019)
Shiqing Wu, Quan Bai
Incentivizing Long-Term Engagement Under Limited Budget. PRICAI (1) (2019)