Incentivizing Long-Term Engagement Under Limited Budget. - Shiqing Wu 001; Quan Bai 001 (PRICAI (1), 2019)

Adaptive Incentive Allocation for Influence-Aware Proactive Recommendation. - Shiqing Wu 001; Quan Bai 001; Byeong Ho Kang 001 (PRICAI (1), 2019)

Learning Policies for Effective Incentive Allocation in Unknown Social Networks. - Shiqing Wu 001; Quan Bai 001; Weihua Li 007 (AAMAS, 2021)

OMT: An Operate-Based Approach for Modelling Multi-topic Influence Diffusion in Online Social Networks. - Chenting Jiang; Weihua Li 007; Shiqing Wu 001; Quan Bai 001 (WISE (1), 2021)

ABEM: An Adaptive Agent-based Evolutionary Approach for Mining Influencers in Online Social Networks. - Weihua Li 007; Yuxuan Hu 002; Shiqing Wu 001; Quan Bai 001; Edmund M.-K. Lai (CoRR, 2021)

An Operator-Based Approach for Modeling Influence Diffusion in Complex Social Networks. - Chenting Jiang; Anthony D'Arienzo; Weihua Li 007; Shiqing Wu 001; Quan Bai 001 (J. Soc. Comput., 2021)

AI Facilitated Isolations? The Impact of Recommendation-based Influence Diffusion in Human Society. - Yuxuan Hu 002; Shiqing Wu 001; Chenting Jiang; Weihua Li 007; Quan Bai 001; Erin Roehrer (IJCAI, 2022)

Proceedings of Principle and practice of data and Knowledge Acquisition Workshop 2022 (PKAW 2022). - Qing Liu 001; Wenli Yang; Shiqing Wu 001 (CoRR, 2022)

IE-Evo: Internal and External Evolution-Enhanced Temporal Knowledge Graph Forecasting. - Kangzheng Liu; Feng Zhao 003; Guandong Xu; Shiqing Wu 001 (ICDM, 2023)

SOAC: Supervised Off-Policy Actor-Critic for Recommender Systems. - Shiqing Wu 001; Guandong Xu; Xianzhi Wang 001 (ICDM, 2023)

BeECD: Belief-Aware Echo Chamber Detection over Twitter Stream. - Guan Wang; Weihua Li 007; Shiqing Wu 001; Quan Bai 001; Edmund M.-K. Lai (PRICAI (3), 2023)

Dynamic Graph Evolution Learning for Recommendation. - Haoran Tang; Shiqing Wu 001; Guandong Xu; Qing Li 001 (SIGIR, 2023)

DOR: A Novel Dual-Observation-Based Approach for News Recommendation Systems. - Mengyan Wang; Weihua Li 007; Jingli Shi; Shiqing Wu 001; Quan Bai 001 (CoRR, 2023)

BHEISR: Nudging from Bias to Balance - Promoting Belief Harmony by Eliminating Ideological Segregation in Knowledge-based Recommendations. - Mengyan Wang; Yuxuan Hu 002; Zihan Yuan; Chenting Jiang; Weihua Li 007; Shiqing Wu 001; Quan Bai 001 (CoRR, 2023)

GAC: A deep reinforcement learning model toward user incentivization in unknown social networks. - Shiqing Wu 001; Weihua Li 007; Quan Bai 001 (Knowl. Based Syst., 2023)

Game theory based compatible incentive mechanism design for non-cryptocurrency blockchain systems. - Xiang Li; Qing Liu 001; Shiqing Wu 001; Zehong Cao; Quan Bai 001 (J. Ind. Inf. Integr., 2023)

ABEM: An adaptive agent-based evolutionary approach for influence maximization in dynamic social networks. - Weihua Li 007; Yuxuan Hu 002; Chenting Jiang; Shiqing Wu 001; Quan Bai 001; Edmund M.-K. Lai (Appl. Soft Comput., 2023)

Identifying influential users in unknown social networks for adaptive incentive allocation under budget restriction. - Shiqing Wu 001; Weihua Li 007; Hao Shen 002; Quan Bai 001 (Inf. Sci., 2023)

DOR: a novel dual-observation-based approach for recommendation systems. - Mengyan Wang; Weihua Li 007; Jingli Shi; Shiqing Wu 001; Quan Bai 001 (Appl. Intell., 2023)

Learning Influential Relationships for Implicit Influence Maximization in Unknown Networks. - Shiqing Wu 001; Guandong Xu (BESC, 2024)

Fairness-Aware Mutual Information for Multimodal Recommendation. - Dan Lu 004; Xu Chen; Rui Chen 012; Shiqing Wu 001; Guandong Xu (BESC, 2024)

Cascading Hypergraph Convolution Networks for Multi-Behavior Sequential Recommendation. - Dan Lu 004; Hao Zhang; Lijie Li; Shiqing Wu 001; Guandong Xu (BESC, 2024)

Enhancing Traffic Prediction via Spatial Multi-Granularity Co-Evolving Mechanism. - Shanshan Sui; Qilong Han; Dan Lu 004; Shiqing Wu 001; Guandong Xu (BESC, 2024)

Enhancing Spatiotemporal Prediction with Intra- and Inter-granularity Contrastive Learning. - Qilong Han; Shanshan Sui; Dan Lu 004; Shiqing Wu 001; Guandong Xu (DASFAA (2), 2024)

Balancing Information Perception with Yin-Yang: Agent-Based Information Neutrality Model for Recommendation Systems. - Mengyan Wang; Yuxuan Hu 002; Shiqing Wu 001; Weihua Li 007; Quan Bai 001; Verica Rupar (CoRR, 2024)

A novel complex network prediction method based on multi-granularity contrastive learning. - Shanshan Sui; Qilong Han; Dan Lu 004; Shiqing Wu 001; Guandong Xu (CCF Trans. Pervasive Comput. Interact., 2024)

DyBooster: Leveraging large language model as booster for dynamic recommendation. - Haoran Tang; Xueyao Sun; Shiqing Wu 001; Zhihong Cui; Guandong Xu; Qing Li 001 (Expert Syst. Appl., 2025)

Causal cascading convolution networks for multi-behavior sequential recommendation. - Dan Lu 004; Shiqing Wu 001; Hao Zhang; Guandong Xu; Qilong Han (Inf. Sci., 2025)

TCGC: Temporal Collaboration-Aware Graph Co-Evolution Learning for Dynamic Recommendation. - Haoran Tang; Shiqing Wu 001; Xueyao Sun; Jun Zeng 003; Guandong Xu; Qing Li 001 (ACM Trans. Inf. Syst., 2025)

Nudging Toward Responsible Recommendations: A Graph-Based Approach to Mitigate Belief Filter Bubbles. - Mengyan Wang; Yuxuan Hu 002; Shiqing Wu 001; Weihua Li 007; Quan Bai 001; Zihan Yuan; Chenting Jiang (IEEE Trans. Artif. Intell., 2025)

Model-Agnostic Dual-Side Online Fairness Learning for Dynamic Recommendation. - Haoran Tang; Shiqing Wu 001; Zhihong Cui; Yicong Li 001; Guandong Xu; Qing Li 001 (IEEE Trans. Knowl. Data Eng., 2025)

Refining Contrastive Learning and Homography Relations for Multi-Modal Recommendation. - Shouxing Ma; Yawen Zeng; Shiqing Wu 001; Guandong Xu (CoRR, 2025)