Shiqing Wu - RankMe

45 papers A* 5A 1B 1C 2Journal 27Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BotDMM: Dual-channel multi-modal learning for LLM-driven bot detection on social media. Inf. Fusion Jinglong Duan, Shiqing Wu, Weihua Li, Quan Bai, Minh Nguyen, Jianhua Jiang
2026	J	`jnl`	Dual-channel time-aware graph attention network for session-based recommendation. Inf. Sci. Linjiang Guo, Shiqing Wu, Dan Lu, Longxiang Gao, Guandong Xu
2026	J	`jnl`	Ideological Isolation in Online Social Networks: A Survey of Computational Definitions, Metrics, and Mitigation Strategies. CoRR Xiaodan Wang, Yanbin Liu, Shiqing Wu, Ziying Zhao, Yuxuan Hu, Weihua Li, Quan Bai
2026	J	`jnl`	Multi-modal dual attention graph contrastive learning for recommendation. Knowl. Based Syst. Shouxing Ma, Shiqing Wu, Yawen Zeng, Kaize Shi, Guandong Xu
2025	J	`jnl`	Balancing Information Perception With Yin-Yang: Agent-Based Adaptive Information Neutrality Model for Recommendation Systems. IEEE Trans. Comput. Soc. Syst. Mengyan Wang, Yuxuan Hu, Shiqing Wu, Weihua Li, Quan Bai, Verica Rupar
2025	J	`jnl`	Causal cascading convolution networks for multi-behavior sequential recommendation. Inf. Sci. Dan Lu, Shiqing Wu, Hao Zhang, Guandong Xu, Qilong Han
2025	J	`jnl`	DyBooster: Leveraging large language model as booster for dynamic recommendation. Expert Syst. Appl. Haoran Tang, Xueyao Sun, Shiqing Wu, Zhihong Cui, Guandong Xu, Qing Li
2025	B	`conf`	Graph of Now and Past Network: A Novel Approach for Dynamic Temporal Graphs Learning. PRICAI Naimeng Yao, Li Xiao, Weihua Li, Xiaodan Wang, Shiqing Wu, Quan Bai
2025	C	`ed.`	Knowledge Management and Acquisition for Intelligent Systems - 20th Principle and Practice of Data and Knowledge Acquisition Workshop, PKAW 2024, Kyoto, Japan, November 18-19, 2024, Proceedings PKAW Shiqing Wu, Xing Su, Xiaolong Xu, Byeong Ho Kang
2025	J	`jnl`	Model-Agnostic Dual-Side Online Fairness Learning for Dynamic Recommendation. IEEE Trans. Knowl. Data Eng. Haoran Tang, Shiqing Wu, Zhihong Cui, Yicong Li, Guandong Xu, Qing Li
2025	J	`jnl`	Nudging Toward Responsible Recommendations: A Graph-Based Approach to Mitigate Belief Filter Bubbles. IEEE Trans. Artif. Intell. Mengyan Wang, Yuxuan Hu, Shiqing Wu, Weihua Li, Quan Bai, Zihan Yuan, Chenting Jiang
2025	A*	`conf`	Refining Contrastive Learning and Homography Relations for Multi-Modal Recommendation. ACM Multimedia Shouxing Ma, Yawen Zeng, Shiqing Wu, Guandong Xu
2025	J	`jnl`	Refining Contrastive Learning and Homography Relations for Multi-Modal Recommendation. CoRR Shouxing Ma, Yawen Zeng, Shiqing Wu, Guandong Xu
2025	J	`jnl`	TCGC: Temporal Collaboration-Aware Graph Co-Evolution Learning for Dynamic Recommendation. ACM Trans. Inf. Syst. Haoran Tang, Shiqing Wu, Xueyao Sun, Jun Zeng, Guandong Xu, Qing Li
2025	J	`jnl`	The Trust Paradox in LLM-Based Multi-Agent Systems: When Collaboration Becomes a Security Vulnerability. CoRR Zijie Xu, Minfeng Qi, Shiqing Wu, Lefeng Zhang, Qiwen Wei, Han He, Ningran Li
2025	J	`jnl`	TriCon-Fair: Triplet Contrastive Learning for Mitigating Social Bias in Pre-trained Language Models. CoRR Chong Lyu, Lin Li, Shiqing Wu, Jingling Yuan
2024	J	`jnl`	A novel complex network prediction method based on multi-granularity contrastive learning. CCF Trans. Pervasive Comput. Interact. Shanshan Sui, Qilong Han, Dan Lu, Shiqing Wu, Guandong Xu
2024	J	`jnl`	Balancing Information Perception with Yin-Yang: Agent-Based Information Neutrality Model for Recommendation Systems. CoRR Mengyan Wang, Yuxuan Hu, Shiqing Wu, Weihua Li, Quan Bai, Verica Rupar
2024	—	`conf`	Cascading Hypergraph Convolution Networks for Multi-Behavior Sequential Recommendation. BESC Dan Lu, Hao Zhang, Lijie Li, Shiqing Wu, Guandong Xu
2024	—	`conf`	Enhancing Spatiotemporal Prediction with Intra- and Inter-granularity Contrastive Learning. DASFAA (2) Qilong Han, Shanshan Sui, Dan Lu, Shiqing Wu, Guandong Xu
2024	—	`conf`	Enhancing Traffic Prediction via Spatial Multi-Granularity Co-Evolving Mechanism. BESC Shanshan Sui, Qilong Han, Dan Lu, Shiqing Wu, Guandong Xu
2024	—	`conf`	Fairness-Aware Mutual Information for Multimodal Recommendation. BESC Dan Lu, Xu Chen, Rui Chen, Shiqing Wu, Guandong Xu
2024	—	`conf`	Learning Influential Relationships for Implicit Influence Maximization in Unknown Networks. BESC Shiqing Wu, Guandong Xu
2023	J	`jnl`	ABEM: An adaptive agent-based evolutionary approach for influence maximization in dynamic social networks. Appl. Soft Comput. Weihua Li, Yuxuan Hu, Chenting Jiang, Shiqing Wu, Quan Bai, Edmund M.-K. Lai
2023	J	`jnl`	BHEISR: Nudging from Bias to Balance - Promoting Belief Harmony by Eliminating Ideological Segregation in Knowledge-based Recommendations. CoRR Mengyan Wang, Yuxuan Hu, Zihan Yuan, Chenting Jiang, Weihua Li, Shiqing Wu, Quan Bai
2023	—	`conf`	BeECD: Belief-Aware Echo Chamber Detection over Twitter Stream. PRICAI (3) Guan Wang, Weihua Li, Shiqing Wu, Quan Bai, Edmund M.-K. Lai
2023	J	`jnl`	DOR: A Novel Dual-Observation-Based Approach for News Recommendation Systems. CoRR Mengyan Wang, Weihua Li, Jingli Shi, Shiqing Wu, Quan Bai
2023	J	`jnl`	DOR: a novel dual-observation-based approach for recommendation systems. Appl. Intell. Mengyan Wang, Weihua Li, Jingli Shi, Shiqing Wu, Quan Bai
2023	A*	`conf`	Dynamic Graph Evolution Learning for Recommendation. SIGIR Haoran Tang, Shiqing Wu, Guandong Xu, Qing Li
2023	J	`jnl`	GAC: A deep reinforcement learning model toward user incentivization in unknown social networks. Knowl. Based Syst. Shiqing Wu, Weihua Li, Quan Bai
2023	J	`jnl`	Game theory based compatible incentive mechanism design for non-cryptocurrency blockchain systems. J. Ind. Inf. Integr. Xiang Li, Qing Liu, Shiqing Wu, Zehong Cao, Quan Bai
2023	A*	`conf`	IE-Evo: Internal and External Evolution-Enhanced Temporal Knowledge Graph Forecasting. ICDM Kangzheng Liu, Feng Zhao, Guandong Xu, Shiqing Wu
2023	J	`jnl`	Identifying influential users in unknown social networks for adaptive incentive allocation under budget restriction. Inf. Sci. Shiqing Wu, Weihua Li, Hao Shen, Quan Bai
2023	C	`ed.`	Knowledge Management and Acquisition for Intelligent Systems - 19th Principle and Practice of Data and Knowledge Acquisition Workshop, PKAW 2023, Jakarta, Indonesia, November 15-16, 2023, Proceedings PKAW Shiqing Wu, Wenli Yang, Muhammad Bilal Amin, Byeong-Ho Kang, Guandong Xu
2023	A*	`conf`	SOAC: Supervised Off-Policy Actor-Critic for Recommender Systems. ICDM Shiqing Wu, Guandong Xu, Xianzhi Wang
2022	A*	`conf`	AI Facilitated Isolations? The Impact of Recommendation-based Influence Diffusion in Human Society. IJCAI Yuxuan Hu, Shiqing Wu, Chenting Jiang, Weihua Li, Quan Bai, Erin Roehrer
2022	J	`jnl`	GAC: A Deep Reinforcement Learning Model Toward User Incentivization in Unknown Social Networks. CoRR Shiqing Wu, Weihua Li, Quan Bai
2022	J	`jnl`	Proceedings of Principle and practice of data and Knowledge Acquisition Workshop 2022 (PKAW 2022). CoRR Qing Liu, Wenli Yang, Shiqing Wu
2021	J	`jnl`	ABEM: An Adaptive Agent-based Evolutionary Approach for Mining Influencers in Online Social Networks. CoRR Weihua Li, Yuxuan Hu, Shiqing Wu, Quan Bai, Edmund M.-K. Lai
2021	J	`jnl`	An Operator-Based Approach for Modeling Influence Diffusion in Complex Social Networks. J. Soc. Comput. Chenting Jiang, Anthony D'Arienzo, Weihua Li, Shiqing Wu, Quan Bai
2021	J	`jnl`	Identifying Influential Users in Unknown Social Networks for Adaptive Incentive Allocation Under Budget Restriction. CoRR Shiqing Wu, Weihua Li, Hao Shen, Quan Bai
2021	A	`conf`	Learning Policies for Effective Incentive Allocation in Unknown Social Networks. AAMAS Shiqing Wu, Quan Bai, Weihua Li
2021	—	`conf`	OMT: An Operate-Based Approach for Modelling Multi-topic Influence Diffusion in Online Social Networks. WISE (1) Chenting Jiang, Weihua Li, Shiqing Wu, Quan Bai
2019	—	`conf`	Adaptive Incentive Allocation for Influence-Aware Proactive Recommendation. PRICAI (1) Shiqing Wu, Quan Bai, Byeong Ho Kang
2019	—	`conf`	Incentivizing Long-Term Engagement Under Limited Budget. PRICAI (1) Shiqing Wu, Quan Bai