| 2025 | CEC | Multi-Level Representation of Long MIDI Sequences: Integrating Bar-Level Encoding with Music-Level Context. | Yuelang Sun, Guan Wang, Weihua Li, Matthew Kuo, Quan Bai, Jianhua Jiang |
| 2025 | ICAART | A Mixed Quantization Approach for Data-Free Quantization of LLMs. | Feng Zhang, Yanbin Liu, Weihua Li, Xiaodan Wang, Quan Bai |
| 2025 | PAKDD | Rule-Validated Negative Sampling for Temporal Knowledge Graphs. | Naimeng Yao, Qing Liu, Quan Bai |
| 2025 | PRICAI | Tunnel Vision in Online Discourse: Formalization and Entropy-Based Quantification with LLM-Simulated Agents. | Xiaodan Wang, Yanbin Liu, Weihua Li, Quan Bai |
| 2025 | PRICAI | Graph of Now and Past Network: A Novel Approach for Dynamic Temporal Graphs Learning. | Naimeng Yao, Li Xiao, Weihua Li, Xiaodan Wang, Shiqing Wu, Quan Bai |
| 2025 | WSC | AI-Empowered Data-Driven Agent-Based Modeling and Simulation: Challenges, Methodologies, and Future Perspectives. | Bhakti S. Onggo, Zhou He, Peng Lu, Quan Bai, Yuxuan Hu |
| 2024 | ACIIDS | FramedTruth: A Frame-Based Model Utilising Large Language Models for Misinformation Detection. | Guan Wang, Rebecca Frederick, Boshra Talebi Haghighi, B. L. William Wong, Verica Rupar, Weihua Li, Quan Bai |
| 2024 | CEC | Emotion-Conditioned MusicLM: Enhancing Emotional Resonance in Music Generation. | Yuelang Sun, Matthew Kuo, Xiaodan Wang, Weihua Li, Quan Bai |
| 2024 | IJCAI | An LLM-enhanced Agent-based Simulation Tool for Information Propagation. | Yuxuan Hu, Gemju Sherpa, Lan Zhang, Weihua Li, Quan Bai, Yijun Wang, Xiaodan Wang |
| 2024 | PKAW | Intent-Spectrum BotTracker: Tackling LLM-Based Social Media Bots Through an Enhanced BotRGCN Model with Intention and Entropy Measurement. | Jinglong Duan, Ziyu Li, Xiaodan Wang, Weihua Li, Quan Bai, Minh Nguyen |
| 2024 | PKAW | Aspect-Adaptive Knowledge-based Opinion Summarization. | Guan Wang, Weihua Li, Edmund M.-K. Lai, Quan Bai |
| 2023 | PKAW | Exploring the Potential of Image Overlay in Self-supervised Learning: A Study on SimSiam Networks and Strategies for Preventing Model Collapse. | Li Xiao, Weihua Li, Quan Bai, Minh Nguyen |
| 2023 | PKAW | An Assessment of the Influence of Interaction and Recommendation Approaches on the Formation of Information Filter Bubbles. | Zihan Yuan, Weihua Li, Quan Bai |
| 2023 | PRICAI | BeECD: Belief-Aware Echo Chamber Detection over Twitter Stream. | Guan Wang, Weihua Li, Shiqing Wu, Quan Bai, Edmund M.-K. Lai |
| 2022 | IJCAI | 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 |
| 2022 | ITNAC | A Novel Story Plots Extraction Based Rapid Reading Comprehension System to Assist the Education for Low-income Families. | Xinchun Zhang, Weihua Li, Quan Bai, William Liu, Huan Wang |
| 2022 | PRICAI | Obj-SA-GAN: Object-Driven Text-to-Image Synthesis with Self-Attention Based Full Semantic Information Mining. | Ruijun Li, Weihua Li, Yi Yang, Quan Bai |
| 2022 | PRICAI | Entity Similarity-Based Negative Sampling for Knowledge Graph Embedding. | Naimeng Yao, Qing Liu, Xiang Li, Yi Yang, Quan Bai |
| 2021 | AAAI | A Novel Mountain Driving Unity Simulated Environment for Autonomous Vehicles. | Xiaohu Li, Zehong Cao, Quan Bai |
| 2021 | WISE | OMT: An Operate-Based Approach for Modelling Multi-topic Influence Diffusion in Online Social Networks. | Chenting Jiang, Weihua Li, Shiqing Wu, Quan Bai |
| 2020 | ICONIP | An Evoked Potential-Guided Deep Learning Brain Representation for Visual Classification. | Xianglin Zheng, Zehong Cao, Quan Bai |
| 2020 | PKAW | Automated Concern Exploration in Pandemic Situations - COVID-19 as a Use Case. | Jingli Shi, Weihua Li, Yi Yang, Naimeng Yao, Quan Bai, Sira Yongchareon, Jian Yu |
| 2019 | PKAW | Context-Aware Influence Diffusion in Online Social Networks. | Yuxuan Hu, Quan Bai, Weihua Li |
| 2019 | PKAW | Empirical Evaluation of Deep Learning-Based Travel Time Prediction. | Mengyan Wang, Weihua Li, Yan Kong, Quan Bai |
| 2019 | PRICAI | Incentivizing Long-Term Engagement Under Limited Budget. | Shiqing Wu, Quan Bai |
| 2019 | PRICAI | Adaptive Incentive Allocation for Influence-Aware Proactive Recommendation. | Shiqing Wu, Quan Bai, Byeong Ho Kang |
| 2018 | PRICAI | An Entropy-Based Class Assignment Detection Approach for RDF Data. | Molood Barati, Quan Bai, Qing Liu |
| 2018 | WISE | On the Discovery of Continuous Truth: A Semi-supervised Approach with Partial Ground Truths. | Yi Yang, Quan Bai, Qing Liu |
| 2017 | ITNAC | NTaaS: Network trustworthiness as a service. | Ming Xiang, William Liu, Quan Bai, Adnan Al-Anbuky, Jinsong Wu, Arjuna Sathiaseelan |
| 2016 | PRICAI | SWARM: An Approach for Mining Semantic Association Rules from Semantic Web Data. | Molood Barati, Quan Bai, Qing Liu |
| 2016 | PRICAI | Stigmergy-Based Influence Maximization in Social Networks. | Weihua Li, Quan Bai, Chang Jiang, Minjie Zhang |
| 2016 | PRICAI | Towards Exposing Cyberstalkers in Online Social Networks. | Jiamou Liu, Yingying Tao, Quan Bai |
| 2016 | PRICAI | Capability-Aware Trust Evaluation Model in Multi-agent Systems. | Tung Doan Nguyen, Quan Bai, Weihua Li |
| 2016 | WISE | Semantic Similarity of Workflow Traces with Various Granularities. | Qing Liu, Quan Bai, Yi Yang |
| 2015 | ITNAC | OTAP arbitration effects in randomly deployed WSN's. | Craig G. Walker, Adnan Al-Anbuky, Quan Bai |
| 2015 | ITNAC | The double-edged sword: Revealing the critical role of structural hole in forming trust for securing Wireless sensor networks. | Ming Xiang, William Liu, Quan Bai, Adnan Al-Anbuky |
| 2015 | TrustCom | Simmelian Ties and Structural Holes: Exploring Their Topological Roles in Forming Trust for Securing Wireless Sensor Networks. | Ming Xiang, William Liu, Quan Bai, Adnan Al-Anbuky |
| 2014 | PRICAI | Accountable Individual Trust from Group Reputations in Multi-agent Systems. | Tung Doan Nguyen, Quan Bai |
| 2014 | PRICAI | Task-Based Wireless Mobile Agents Search and Deployment for Ad Hoc Network Establishment in Disaster Environments. | Xing Su, Minjie Zhang, Quan Bai |
| 2013 | TrustCom | TIGER: A Trust-based Intelligent Geographical Energy-aware Routing for Smart Grid Communication Networks. | Ming Xiang, William Liu, Quan Bai |
| 2012 | AAMAS | Effective methods for generating collision free paths for multiple robots based on collision type (demonstration). | Fan Liu, Ajit Narayanan, Quan Bai |
| 2012 | PRICAI | Stigmergic Modeling for Web Service Composition and Adaptation. | Ahmed Moustafa, Minjie Zhang, Quan Bai |
| 2011 | TrustCom | Case-Based Trust Evaluation from Provenance Information. | Quan Bai, Xing Su, Qing Liu, Andrew Terhorst, Minjie Zhang, Yi Mu |
| 2011 | WISE | GTrust: An Innovated Trust Model for Group Services Selection in Web-Based Service-Oriented Environments. | Xing Su, Minjie Zhang, Yi Mu, Quan Bai |
| 2011 | WISE | A Composite Self-organisation Mechanism in an Agent Network. | Dayong Ye, Minjie Zhang, Quan Bai |
| 2010 | PKAW | Self-organisation in an Agent Network via Multiagent Q-Learning. | Dayong Ye, Minjie Zhang, Quan Bai, Takayuki Ito |
| 2009 | ISPA | An Efficient Task Allocation Protocol for P2P Multi-agent Systems. | Dayong Ye, Quan Bai, Minjie Zhang, Khin Than Win, Zhiqi Shen |
| 2009 | PRIMA | A Multi-Agent View of the Sensor Web. | Quan Bai, Siddeswara Mayura Guru, Daniel V. Smith, Qing Liu, Andrew Terhorst |
| 2009 | PRIMA | A Hybrid Multi-Agent Framework for Load Management in Power Grid Systems. | Minjie Zhang, Dayong Ye, Quan Bai, Danny Sutanto, Kashem M. Muttaqi |
| 2008 | NPC | Ontology-Based Knowledge Representation for a P2P Multi-agent Distributed Intrusion Detection System. | Dayong Ye, Quan Bai, Minjie Zhang |
| 2003 | IKE | A Computational Strategy for Information Integration in Meta-Search Agent Systems. | Quan Bai, Wei Li, Minjie Zhang |