Weihua Li - RankMe

81 papers A* 2A 4B 6C 7Misc 4Journal 45Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Aspect-Aware Fair Influence Maximization: A Multiobjective Discrete Tree Seed Algorithm. IEEE Trans. Comput. Soc. Syst. Ziying Zhao, Weihua Li, Jing Ma, Jianhua Jiang, Quan Bai, Xing Su
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`	Depth-Structured Music Recurrence: Budgeted Recurrent Attention for Full-Piece Symbolic Music Modeling. CoRR Yungang Yi, Weihua Li, Matthew Kuo, Catherine Shi, Quan Bai
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
2025	J	`jnl`	BCA: Besiege and Conquer Algorithm. Symmetry Jianhua Jiang, Xianqiu Meng, Jiaqi Wu, Jun Tian, Gaochao Xu, Weihua Li
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`	Detecting misinformation through framing theory: the frame element-based model. J. Comput. Soc. Sci. Guan Wang, Rebecca Frederick, Jinglong Duan, William B. L. Wong, Verica Rupar, Weihua Li, Quan Bai
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	J	`jnl`	LLM-BotGuard: A Novel Framework for Detecting LLM-Driven Bots With Mixture of Experts and Graph Neural Networks. IEEE Trans. Comput. Soc. Syst. Jinglong Duan, Weihua Li, Quan Bai, Minh Nguyen, Xiaodan Wang, Jianhua Jiang
2025	B	`conf`	Multi-Level Representation of Long MIDI Sequences: Integrating Bar-Level Encoding with Music-Level Context. CEC Yuelang Sun, Guan Wang, Weihua Li, Matthew Kuo, Quan Bai, Jianhua Jiang
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	J	`jnl`	Towards Superior Quantization Accuracy: A Layer-sensitive Approach. CoRR Feng Zhang, Yanbin Liu, Weihua Li, Jie Lv, Xiaodan Wang, Quan Bai
2025	B	`conf`	Tunnel Vision in Online Discourse: Formalization and Entropy-Based Quantification with LLM-Simulated Agents. PRICAI Xiaodan Wang, Yanbin Liu, Weihua Li, Quan Bai
2024	J	`jnl`	A Lightweight, Effective, and Efficient Model for Label Aggregation in Crowdsourcing. ACM Trans. Knowl. Discov. Data Yi Yang, Zhong-Qiu Zhao, Gongqing Wu, Xingrui Zhuo, Qing Liu, Quan Bai, Weihua Li
2024	J	`jnl`	An Enhanced Grey Wolf Optimizer with Elite Inheritance and Balance Search Mechanisms. CoRR Jianhua Jiang, Ziying Zhao, Weihua Li, Keqin Li
2024	A*	`conf`	An LLM-enhanced Agent-based Simulation Tool for Information Propagation. IJCAI Yuxuan Hu, Gemju Sherpa, Lan Zhang, Weihua Li, Quan Bai, Yijun Wang, Xiaodan Wang
2024	C	`conf`	Aspect-Adaptive Knowledge-based Opinion Summarization. PKAW Guan Wang, Weihua Li, Edmund M.-K. Lai, Quan Bai
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	J	`jnl`	DTSA: Dynamic Tree-Seed Algorithm with Velocity-Driven Seed Generation and Count-Based Adaptive Strategies. Symmetry Jianhua Jiang, Jiansheng Huang, Jiaqi Wu, Jinmeng Luo, Xi Yang, Weihua Li
2024	J	`jnl`	Detecting misinformation through Framing Theory: the Frame Element-based Model. CoRR Guan Wang, Rebecca Frederick, Jinglong Duan, William Wong, Verica Rupar, Weihua Li, Quan Bai
2024	B	`conf`	Emotion-Conditioned MusicLM: Enhancing Emotional Resonance in Music Generation. CEC Yuelang Sun, Matthew Kuo, Xiaodan Wang, Weihua Li, Quan Bai
2024	—	`conf`	Fair Influence Maximization in Social Networks: A Group-Fairness-aware Multi-Objective Grey Wolf Optimizer. ICA Ziying Zhao, Weihua Li, Jing Ma, Jianhua Jiang, Quan Bai
2024	—	`conf`	FramedTruth: A Frame-Based Model Utilising Large Language Models for Misinformation Detection. ACIIDS (1) Guan Wang, Rebecca Frederick, Boshra Talebi Haghighi, B. L. William Wong, Verica Rupar, Weihua Li, Quan Bai
2024	C	`conf`	Intent-Spectrum BotTracker: Tackling LLM-Based Social Media Bots Through an Enhanced BotRGCN Model with Intention and Entropy Measurement. PKAW Jinglong Duan, Ziyu Li, Xiaodan Wang, Weihua Li, Quan Bai, Minh Nguyen
2024	J	`jnl`	LLM-AIDSim: LLM-Enhanced Agent-Based Influence Diffusion Simulation in Social Networks. Syst. Lan Zhang, Yuxuan Hu, Weihua Li, Quan Bai, Parma Nand
2024	J	`jnl`	Maximizing Social Influence With Minimum Information Alteration. IEEE Trans. Emerg. Top. Comput. Guan Wang, Weihua Li, Quan Bai, Edmund M.-K. Lai
2024	J	`jnl`	PerceiverS: A Multi-Scale Perceiver with Effective Segmentation for Long-Term Expressive Symbolic Music Generation. CoRR Yungang Yi, Weihua Li, Matthew Kuo, Quan Bai
2024	—	`conf`	SCA-LSTM: A Deep Learning Approach to Golf Swing Analysis and Performance Enhancement. ICONIP (11) Chengwei Feng, Boris Bacic, Weihua Li
2024	J	`jnl`	Swinv2-Imagen: hierarchical vision transformer diffusion models for text-to-image generation. Neural Comput. Appl. Ruijun Li, Weihua Li, Yi Yang, Hanyu Wei, Jianhua Jiang, Quan Bai
2023	—	`conf`	A Study of Neural Collapse for Text Classification. DeLTA Jia Hui Feng, Edmund M.-K. Lai, Weihua Li
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`	AaKOS: Aspect-adaptive Knowledge-based Opinion Summarization. CoRR Guan Wang, Weihua Li, Edmund M.-K. Lai, Quan Bai
2023	C	`conf`	An Assessment of the Influence of Interaction and Recommendation Approaches on the Formation of Information Filter Bubbles. PKAW Zihan Yuan, Weihua Li, Quan Bai
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	—	`conf`	Detecting Emotional Context for Safer Digital Mental Health Agents. MedInfo Adi Choi, Weihua Li, Jim Warren
2023	Misc	`conf`	Enhancing Resource Allocation in IT Projects: The Potentials of Deep Learning-Based Recommendation Systems and Data-Driven Approaches. AusDM Li Xiao, Samaneh Madanian, Weihua Li, Yuchun Xiao
2023	Misc	`conf`	Entity-Relation Distribution-Aware Negative Sampling for Knowledge Graph Embedding. ISWC Naimeng Yao, Qing Liu, Yi Yang, Weihua Li, Quan Bai
2023	C	`conf`	Exploring the Potential of Image Overlay in Self-supervised Learning: A Study on SimSiam Networks and Strategies for Preventing Model Collapse. PKAW Li Xiao, Weihua Li, Quan Bai, Minh Nguyen
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	—	`ed.`	IEEE International Conference on Agents, ICA 2023, Kyoto, Japan, December 4-6, 2023 ICA Rafik Hadfi, Weihua Li, Takayuki Ito
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	—	`conf`	Preface ICA 2023. ICA Rafik Hadfi, Weihua Li, Takayuki Ito
2023	J	`jnl`	Soft Prompt Guided Joint Learning for Cross-Domain Sentiment Analysis. CoRR Jingli Shi, Weihua Li, Quan Bai, Yi Yang, Jianhua Jiang
2023	J	`jnl`	Soft prompt enhanced joint learning for cross-domain aspect-based sentiment analysis. Intell. Syst. Appl. Jingli Shi, Weihua Li, Quan Bai, Yi Yang, Jianhua Jiang
2023	J	`jnl`	Syntax-enhanced aspect-based sentiment analysis with multi-layer attention. Neurocomputing Jingli Shi, Weihua Li, Quan Bai, Yi Yang, Jianhua Jiang
2022	J	`jnl`	A Light-weight, Effective and Efficient Model for Label Aggregation in Crowdsourcing. CoRR Yi Yang, Zhong-Qiu Zhao, Quan Bai, Qing Liu, Weihua Li
2022	Misc	`conf`	A Novel Story Plots Extraction Based Rapid Reading Comprehension System to Assist the Education for Low-income Families. ITNAC Xinchun Zhang, Weihua Li, Quan Bai, William Liu, Huan 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`	BeeAE: effective aspect term extraction with artificial bee colony. J. Supercomput. Jingli Shi, Weihua Li, Quan Bai, Takayuki Ito
2022	J	`jnl`	DSGWO: An improved grey wolf optimizer with diversity enhanced strategy based on group-stage competition and balance mechanisms. Knowl. Based Syst. Jianhua Jiang, Ziying Zhao, Yutong Liu, Weihua Li, Huan Wang
2022	Misc	`conf`	Focus-Based Text Summarisation with Hybrid Embeddings. AI Jingli Shi, Lui Hellesoe, Guan Wang, Weihua Li, Quan Bai
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`	Graph-based joint pandemic concern and relation extraction on Twitter. Expert Syst. Appl. Jingli Shi, Weihua Li, Sira Yongchareon, Yi Yang, Quan Bai
2022	J	`jnl`	KATSum: Knowledge-aware Abstractive Text Summarization. CoRR Guan Wang, Weihua Li, Edmund M.-K. Lai, Jianhua Jiang
2022	—	`conf`	Obj-SA-GAN: Object-Driven Text-to-Image Synthesis with Self-Attention Based Full Semantic Information Mining. PRICAI (1) Ruijun Li, Weihua Li, Yi Yang, Quan Bai
2022	J	`jnl`	Swinv2-Imagen: Hierarchical Vision Transformer Diffusion Models for Text-to-Image Generation. CoRR Ruijun Li, Weihua Li, Yi Yang, Hanyu Wei, Jianhua Jiang, Quan Bai
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`	Graph-based Joint Pandemic Concern and Relation Extraction on Twitter. CoRR Jingli Shi, Weihua Li, Sira Yongchareon, Yi Yang, Quan Bai
2021	A	`conf`	Graph-based Self-Adaptive Conversational Agent. AAMAS Lan Zhang, Weihua Li, Quan Bai, Edmund M.-K. Lai
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
2021	J	`jnl`	Privacy Information Classification: A Hybrid Approach. CoRR Jiaqi Wu, Weihua Li, Quan Bai, Takayuki Ito, Ahmed Moustafa
2021	J	`jnl`	Social influence minimization based on context-aware multiple influences diffusion model. Knowl. Based Syst. Weihua Li, Quan Bai, Ling Liang, Yi Yang, Yuxuan Hu, Minjie Zhang
2020	C	`conf`	Automated Concern Exploration in Pandemic Situations - COVID-19 as a Use Case. PKAW Jingli Shi, Weihua Li, Yi Yang, Naimeng Yao, Quan Bai, Sira Yongchareon, Jian Yu
2019	J	`jnl`	A Multi-agent System for Modelling Preference-Based Complex Influence Diffusion in Social Networks. Comput. J. Weihua Li, Quan Bai, Minjie Zhang
2019	J	`jnl`	Automated Influence Maintenance in Social Networks: An Agent-based Approach. IEEE Trans. Knowl. Data Eng. Weihua Li, Quan Bai, Minjie Zhang, Tung Doan Nguyen
2019	C	`conf`	Context-Aware Influence Diffusion in Online Social Networks. PKAW Yuxuan Hu, Quan Bai, Weihua Li
2019	C	`conf`	Empirical Evaluation of Deep Learning-Based Travel Time Prediction. PKAW Mengyan Wang, Weihua Li, Yan Kong, Quan Bai
2019	J	`jnl`	SIMiner: A Stigmergy-Based Model for Mining Influential Nodes in Dynamic Social Networks. IEEE Trans. Big Data Weihua Li, Quan Bai, Minjie Zhang
2018	A	`conf`	Modelling Multiple Influences Diffusion in On-line Social Networks. AAMAS Weihua Li, Quan Bai, Minjie Zhang, Tung Doan Nguyen
2017	A	`conf`	Agent-based Influence Maintenance in Social Networks. AAMAS Weihua Li, Quan Bai, Tung Doan Nguyen, Minjie Zhang
2016	—	`conf`	Agent-Based Influence Propagation in Social Networks. ICA Weihua Li, Quan Bai, Minjie Zhang
2016	B	`conf`	Capability-Aware Trust Evaluation Model in Multi-agent Systems. PRICAI Tung Doan Nguyen, Quan Bai, Weihua Li
2016	—	`conf`	Comprehensive Influence Propagation Modelling for Hybrid Social Network. Australasian Conference on Artificial Intelligence Weihua Li, Quan Bai, Minjie Zhang
2016	—	`conf`	Mining Context Specific Inter-personalised Trust for Recommendation Generation in Preference Networks. Australasian Conference on Artificial Intelligence Quan Bai, Weihua Li, Jing Jiang
2016	B	`conf`	Stigmergy-Based Influence Maximization in Social Networks. PRICAI Weihua Li, Quan Bai, Chang Jiang, Minjie Zhang