Quan Bai

196 papers A* 3A 9B 19C 11Misc 9Journal 88Unranked 42
YearRankTypeTitle / 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
2026 B ed.
PRICAI 2025: Trends in Artificial Intelligence - 22nd Pacific Rim International Conference on Artificial Intelligence, PRICAI 2025, Wellington, New Zealand, November 17-21, 2025, Proceedings, Part I
PRICAI
Yi Mei, Chao Qian, Quan Bai, Bing Xue, Sankalp Khanna
2026 B ed.
PRICAI 2025: Trends in Artificial Intelligence - 22nd Pacific Rim International Conference on Artificial Intelligence, PRICAI 2025, Wellington, New Zealand, November 17-21, 2025, Proceedings, Part II
PRICAI
Yi Mei, Chao Qian, Quan Bai, Bing Xue, Sankalp Khanna
2026 — ed.
PRICAI 2025: Trends in Artificial Intelligence - 22nd Pacific Rim International Conference on Artificial Intelligence, PRICAI 2025, Wellington, New Zealand, November 17-21, 2025, Proceedings, Part IV
PRICAI (4)
Yi Mei, Chao Qian, Quan Bai, Bing Xue, Sankalp Khanna
2026 J jnl
SparseFraudNet: A Graph-based Approach for Cold-start Fraud Detection with Information Aggregation.
ACM Trans. Inf. Syst.
Wen Zhang, Rui Li, Quan Bai, Song Wang
2025 J jnl
A self-learning based explainable AI framework for giant crab sex classification.
Comput. Electron. Agric.
Yanyu Chen, Wenli Yang, Scott Hadley, Rafael León Leiva, Quan Bai, Byeong Kang
2025 J jnl
AttResRec: Learning User Credibility for Attack Resistant Matrix Factorization Recommendation.
IEEE Trans. Serv. Comput.
Jiangpeng Zhao, Wen Zhang, Song Wang, Quan Bai, Kuien Liu
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 J jnl
Evaluating the impact of human expertise in human-centered AI: A case study on finger-tapping video analysis for dementia detection.
Comput. Biol. Medicine
Renjie Li, Guan Huang, Yanyu Chen, Xinyi Wang, Jane E. Alty, 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 — conf
MultiRAG: An Agentic Multi-Modal and Multi-Source Retrieval-Augmented Generation Framework for Scientific Research.
AI (1)
Ziqiu Huang, Xiang Li, Wenli Yang, Quan Bai, David Green, Clive McMahon
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 — ed.
PRICAI 2024: Trends in Artificial Intelligence - 21st Pacific Rim International Conference on Artificial Intelligence, PRICAI 2024, Kyoto, Japan, November 18-24, 2024, Proceedings, Part I
PRICAI (1)
Rafik Hadfi, Patricia Anthony, Alok Sharma, Takayuki Ito, Quan Bai
2025 — ed.
PRICAI 2024: Trends in Artificial Intelligence - 21st Pacific Rim International Conference on Artificial Intelligence, PRICAI 2024, Kyoto, Japan, November 18-24, 2024, Proceedings, Part II
PRICAI (2)
Rafik Hadfi, Patricia Anthony, Alok Sharma, Takayuki Ito, Quan Bai
2025 — ed.
PRICAI 2024: Trends in Artificial Intelligence - 21st Pacific Rim International Conference on Artificial Intelligence, PRICAI 2024, Kyoto, Japan, November 18-24, 2024, Proceedings, Part III
PRICAI (3)
Rafik Hadfi, Patricia Anthony, Alok Sharma, Takayuki Ito, Quan Bai
2025 — ed.
PRICAI 2024: Trends in Artificial Intelligence - 21st Pacific Rim International Conference on Artificial Intelligence, PRICAI 2024, Kyoto, Japan, November 18-24, 2024, Proceedings, Part IV
PRICAI (4)
Rafik Hadfi, Patricia Anthony, Alok Sharma, Takayuki Ito, Quan Bai
2025 — ed.
PRICAI 2024: Trends in Artificial Intelligence - 21st Pacific Rim International Conference on Artificial Intelligence, PRICAI 2024, Kyoto, Japan, November 18-24, 2024, Proceedings, Part V
PRICAI (5)
Rafik Hadfi, Patricia Anthony, Alok Sharma, Takayuki Ito, Quan Bai
2025 J jnl
Parallel Multi-Scale Deep Supervision Net for Hand Key Point Detection.
IEEE Trans. Big Data
Renjie Li, Son N. Tran, Saurabh Kumar Garg, Katherine Lawler, Jane E. Alty, Quan Bai
2025 — conf
Rule-Validated Negative Sampling for Temporal Knowledge Graphs.
PAKDD (4)
Naimeng Yao, Qing Liu, Quan Bai
2025 J jnl
SATF: A Scalable Attentive Transfer Framework for Efficient Multiagent Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst.
Bin Chen, Zehong Cao, Quan Bai
2025 J jnl
The Role of Knowledge Graphs on Responsible Artificial Intelligence Realization: Research Opportunities and Challenges.
Computer
Xiang Li, Qing Liu, Quan Bai, Xiwei Xu
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
A novel adaptive ensemble learning framework for automated
Expert Syst. Appl.
Yanyu Chen, Yunjue Zhou, Mira Park, Son N. Tran, Scott Hadley, Quan Bai
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
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
Parallel scale de-blur net for sharpening video images for remote clinical assessment of hand movements.
Expert Syst. Appl.
Renjie Li, Guan Huang, Xinyi Wang, Yanyu Chen, Son N. Tran, Saurabh Kumar Garg, Rebecca J. St George, Katherine Lawler, Jane E. Alty, Quan Bai
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 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
2024 — conf
User Identification in the Metaverse Based on Diffusion Optimal Convolutional Networks.
RACS
Ziyang Gong, Xin Su, Saebom Lee, Chang Choi, Pankoo Kim, Quan Bai
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 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 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 — conf
Hybrid CNN-Interpreter: Interprete Local and Global Contexts for CNN-Based Models.
AI (2)
Wenli Yang, Guan Huang, Renjie Li, Jiahao Yu, Yanyu Chen, Quan Bai
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 J jnl
Multimodal learning of clinically accessible tests to aid diagnosis of neurodegenerative disorders: a scoping review.
Health Inf. Sci. Syst.
Guan Huang, Renjie Li, Quan Bai, Jane E. Alty
2023 J jnl
Rapid-Motion-Track: Markerless Tracking of Fast Human Motion with Deeper Learning.
CoRR
Renjie Li, Chun Yu Lao, Rebecca J. St. George, Katherine Lawler, Saurabh Garg, Son N. Tran, Quan Bai, Jane E. Alty
2023 J jnl
Real-time automated detection of older adults' hand gestures in home and clinical settings.
Neural Comput. Appl.
Guan Huang, Son N. Tran, Quan Bai, Jane E. Alty
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 Comprehensive Review on Deep Supervision: Theories and Applications.
CoRR
Renjie Li, Xinyi Wang, Guan Huang, Wenli Yang, Kaining Zhang, Xiaotong Gu, Son N. Tran, Saurabh Garg, Jane E. Alty, Quan Bai
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 Misc conf
A Self-learning Approach for Beggiatoa Coverage Estimation in Aquaculture.
AI
Yanyu Chen, Yunjue Zhou, Son N. Tran, Mira Park, Scott Hadley, Myriam Lacharité, Quan Bai
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
Applications of artificial intelligence to aid early detection of dementia: A scoping review on current capabilities and future directions.
J. Biomed. Informatics
Renjie Li, Xinyi Wang, Katherine Lawler, Saurabh Garg, Quan Bai, Jane E. Alty
2022 J jnl
BeeAE: effective aspect term extraction with artificial bee colony.
J. Supercomput.
Jingli Shi, Weihua Li, Quan Bai, Takayuki Ito
2022 — conf
Entity Similarity-Based Negative Sampling for Knowledge Graph Embedding.
PRICAI (2)
Naimeng Yao, Qing Liu, Xiang Li, Yi Yang, Quan Bai
2022 Misc conf
Eye Movement and Visual Target Synchronization Level Detection Using Deep Learning.
AI
Liuchun Yao, Mira Park, Saurabh Garg, Quan Bai
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
Hybrid CNN -Interpreter: Interpret local and global contexts for CNN-based Models.
CoRR
Wenli Yang, Guan Huang, Renjie Li, Jiahao Yu, Yanyu Chen, Quan Bai, Beyong Kang
2022 J jnl
Moving towards intelligent telemedicine: Computer vision measurement of human movement.
Comput. Biol. Medicine
Renjie Li, Rebecca J. St George, Xinyi Wang, Katherine Lawler, Edward Hill, Saurabh Garg, Stefan Williams, Samuel D. Relton, David Hogg, Quan Bai, Jane E. Alty
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 — ed.
PRICAI 2022: Trends in Artificial Intelligence - 19th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2022, Shanghai, China, November 10-13, 2022, Proceedings, Part I
PRICAI (1)
Sankalp Khanna, Jian Cao, Quan Bai, Guandong Xu
2022 — ed.
PRICAI 2022: Trends in Artificial Intelligence - 19th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2022, Shanghai, China, November 10-13, 2022, Proceedings, Part II
PRICAI (2)
Sankalp Khanna, Jian Cao, Quan Bai, Guandong Xu
2022 — ed.
PRICAI 2022: Trends in Artificial Intelligence - 19th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2022, Shanghai, China, November 10-13, 2022, Proceedings, Part III
PRICAI (3)
Sankalp Khanna, Jian Cao, Quan Bai, Guandong Xu
2022 J jnl
Smart-contract enabled decentralized knowledge fusion for blockchain-based conversation system.
Expert Syst. Appl.
Wenli Yang, Saurabh Garg, Quan Bai, Byeong Kang
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 A* conf
A Novel Mountain Driving Unity Simulated Environment for Autonomous Vehicles.
AAAI
Xiaohu Li, Zehong Cao, 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
Applications of Artificial Intelligence to aid detection of dementia: a narrative review on current capabilities and future directions.
CoRR
Renjie Li, Xinyi Wang, Katherine Lawler, Saurabh Garg, Quan Bai, Jane E. Alty
2021 J jnl
Distributed consensus-based routing protocol with multiple mobile sinks support for wireless sensor network.
IET Wirel. Sens. Syst.
Nor Azimah Khalid, Quan Bai, Adnan Al-Anbuky
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
Hand gesture detection in tests performed by older adults.
CoRR
Guan Huang, Son N. Tran, Quan Bai, Jane E. Alty
2021 J jnl
Hand tremor detection in videos with cluttered background using neural network based approaches.
Health Inf. Sci. Syst.
Xinyi Wang, Saurabh Garg, Son N. Tran, Quan Bai, Jane E. Alty
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 C ed.
Knowledge Management and Acquisition for Intelligent Systems - 17th Pacific Rim Knowledge Acquisition Workshop, PKAW 2020, Yokohama, Japan, January 7-8, 2021, Proceedings
PKAW
Hiroshi Uehara, Takayasu Yamaguchi, 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 B ed.
PRIMA 2020: Principles and Practice of Multi-Agent Systems - 23rd International Conference, Nagoya, Japan, November 18-20, 2020, Proceedings
PRIMA
Takahiro Uchiya, Quan Bai, Ivan Marsá-Maestre
2021 J jnl
Parallel Multi-Scale Networks with Deep Supervision for Hand Keypoint Detection.
CoRR
Renjie Li, Son N. Tran, Saurabh Garg, Katherine Lawler, Jane E. Alty, 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 — conf
A Blockchain-based trust model for crowd environments.
ACSW
Mo Nguyen, Quan Bai, Jian Yu
2020 J jnl
An Evoked Potential-Guided Deep Learning Brain Representation For Visual Classification.
CoRR
Xianglin Zheng, Zehong Cao, Quan Bai
2020 — conf
An Evoked Potential-Guided Deep Learning Brain Representation for Visual Classification.
ICONIP (5)
Xianglin Zheng, Zehong Cao, Quan Bai
2020 — conf
Attentional Matrix Factorization with Document-context awareness and Implicit API Relationship for Service Recommendation.
ACSW
Mo Nguyen, Jian Yu, Quan Bai, Sira Yongchareon, Yanbo Han
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
2020 A conf
Hierarchical and Non-Hierarchical Multi-Agent Interactions Based on Unity Reinforcement Learning.
AAMAS
Zehong Cao, Kaichiu Wong, Quan Bai, Chin-Teng Lin
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
A probabilistic model for truth discovery with object correlations.
Knowl. Based Syst.
Yi Yang, Quan Bai, Qing Liu
2019 — conf
Adaptive Incentive Allocation for Influence-Aware Proactive Recommendation.
PRICAI (1)
Shiqing Wu, Quan Bai, Byeong Ho Kang
2019 J jnl
Adaptive Trust-Based Routing Protocol for Large Scale WSNs.
IEEE Access
Nor Azimah Khalid, Quan Bai, Adnan Al-Anbuky
2019 J jnl
An Innovative Approach for Ad Hoc Network Establishment in Disaster Environments by the Deployment of Wireless Mobile Agents.
ACM Trans. Auton. Adapt. Syst.
Xing Su, Minjie Zhang, Quan Bai
2019 J jnl
Automated Class Correction and Enrichment in the Semantic Web.
J. Web Semant.
Molood Barati, Quan Bai, Qing Liu
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 A conf
Dynamic Source Weight Computation for Truth Inference over Data Streams.
AAMAS
Yi Yang, Quan Bai, Qing Liu
2019 C conf
Empirical Evaluation of Deep Learning-Based Travel Time Prediction.
PKAW
Mengyan Wang, Weihua Li, Yan Kong, Quan Bai
2019 — conf
Incentivizing Long-Term Engagement Under Limited Budget.
PRICAI (1)
Shiqing Wu, Quan Bai
2019 C ed.
Knowledge Management and Acquisition for Intelligent Systems - 16th Pacific Rim Knowledge Acquisition Workshop, PKAW 2019, Cuvu, Fiji, August 26-27, 2019, Proceedings
PKAW
Kouzou Ohara, Quan Bai
2019 A conf
Modeling Random Guessing and Task Difficulty for Truth Inference in Crowdsourcing.
AAMAS
Yi Yang, Quan Bai, Qing Liu
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
2019 J jnl
Specifying and Reasoning about Contextual Preferences in the Goal-oriented Requirements Modelling.
CoRR
Khavee Agustus Botangen, Jian Yu, Sira Yongchareon, Liang Huai Yang, Quan Bai
2019 J jnl
Two Mathematical Programming-Based Approaches for Wireless Mobile Robot Deployment in Disaster Environments.
Comput. J.
Xing Su, Minjie Zhang, Quan Bai
2018 J jnl
A Dynamic Bayesian Network approach for agent group trust evaluation.
Comput. Hum. Behav.
Tung Doan Nguyen, Quan Bai
2018 B conf
An Entropy-Based Class Assignment Detection Approach for RDF Data.
PRICAI
Molood Barati, Quan Bai, Qing Liu
2018 A conf
Modelling Multiple Influences Diffusion in On-line Social Networks.
AAMAS
Weihua Li, Quan Bai, Minjie Zhang, Tung Doan Nguyen
2018 — conf
On the Discovery of Continuous Truth: A Semi-supervised Approach with Partial Ground Truths.
WISE (1)
Yi Yang, Quan Bai, Qing Liu
2018 — conf
Specifying and reasoning about contextual preferences in the goal-oriented requirements modelling.
ACSW
Khavee Agustus Botangen, Jian Yu, Sira Yongchareon, Liang Huai Yang, Quan Bai
2017 J jnl
A Concurrent Multiple Negotiation Protocol Based on Colored Petri Nets.
IEEE Trans. Cybern.
Lei Niu, Fenghui Ren, Minjie Zhang, Quan Bai
2017 A conf
Agent-based Influence Maintenance in Social Networks.
AAMAS
Weihua Li, Quan Bai, Tung Doan Nguyen, Minjie Zhang
2017 — conf
Detecting abnormal attention in online social networks from local views.
ICA
Yingying Tao, Quan Bai, Jiamou Liu, Hangxia Zhou
2017 J jnl
Enhance Trust Management in Composite Services with Indirect Ratings.
Comput. J.
Tung Doan Nguyen, Quan Bai
2017 B conf
From Secrete Admirer to Cyberstalker: A Measure of Online Interpersonal Surveillance.
ASONAM
Zijian Zhang, Jiamou Liu, Ziheng Wei, Yingying Tao, Quan Bai
2017 J jnl
Mining semantic association rules from RDF data.
Knowl. Based Syst.
Molood Barati, Quan Bai, Qing Liu
2017 Misc conf
NTaaS: Network trustworthiness as a service.
ITNAC
Ming Xiang, William Liu, Quan Bai, Adnan Al-Anbuky, Jinsong Wu, Arjuna Sathiaseelan
2017 — conf
Persuasive public-friendly route recommendation with flexible rewards.
ICA
Sotsay Sengvong, Quan Bai
2016 J jnl
A fuzzy logic-based sustainable and trusted routing for P2P enabled smart grid.
Int. J. Comput. Sci. Eng.
Ming Xiang, William Liu, Quan Bai
2016 — ed.
AI 2016: Advances in Artificial Intelligence - 29th Australasian Joint Conference, Hobart, TAS, Australia, December 5-8, 2016, Proceedings
Australasian Conference on Artificial Intelligence
Byeong Ho Kang, Quan Bai
2016 — conf
Agent-Based Influence Propagation in Social Networks.
ICA
Weihua Li, Quan Bai, Minjie Zhang
2016 — conf
An Adaptive Agent-Based Partner Selection for Routing Packet in Distributed Wireless Sensor Network.
ICA
Nor Azimah Khalid, Quan Bai, Adnan Al-Anbuky
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 J jnl
Coordination for dynamic weighted task allocation in disaster environments with time, space and communication constraints.
J. Parallel Distributed Comput.
Xing Su, Minjie Zhang, Quan Bai
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
SWARM: An Approach for Mining Semantic Association Rules from Semantic Web Data.
PRICAI
Molood Barati, Quan Bai, Qing Liu
2016 — conf
Semantic Similarity of Workflow Traces with Various Granularities.
WISE (1)
Qing Liu, Quan Bai, Yi Yang
2016 B conf
Stigmergy-Based Influence Maximization in Social Networks.
PRICAI
Weihua Li, Quan Bai, Chang Jiang, Minjie Zhang
2016 B conf
Towards Exposing Cyberstalkers in Online Social Networks.
PRICAI
Jiamou Liu, Yingying Tao, Quan Bai
2016 A conf
Trust Management for Composite Services in Distributed Multi-agent Systems with Indirect Ratings: (Extended Abstract).
AAMAS
Tung Doan Nguyen, Quan Bai
2016 J jnl
Trustworthy Stigmergic Service Compositionand Adaptation in Decentralized Environments.
IEEE Trans. Serv. Comput.
Ahmed Moustafa, Minjie Zhang, Quan Bai
2015 — conf
A Wireless Mobile Robots Deployment Approach for Maximising the Coverage of Important Locations in Disaster Rescues.
WI-IAT (2)
Xing Su, Minjie Zhang, Quan Bai
2015 J jnl
Avoiding the Opportunist: The Role of Simmelian Ties in Fostering the Trust in Sensor-Cloud Networks.
Int. J. Distributed Sens. Networks
Ming Xiang, William Liu, Quan Bai, Adnan Al-Anbuky
2015 — ch.
Decentralised Task Allocation Under Space, Time and Communication Constraints in Disaster Domains.
Smart Modeling and Simulation for Complex Systems
Xing Su, Minjie Zhang, Quan Bai
2015 J jnl
Dynamic Task Allocation for Heterogeneous Agents in Disaster Environments Under Time, Space and Communication Constraints.
Comput. J.
Xing Su, Minjie Zhang, Quan Bai
2015 — conf
Exploring the Role of Structural Similarity in Securing Smart Metering Infrastructure.
DSDIS
Aminu Bello, William Liu, Quan Bai, Ajit Narayanan
2015 Misc conf
OTAP arbitration effects in randomly deployed WSN's.
ITNAC
Craig G. Walker, Adnan Al-Anbuky, Quan Bai
2015 — conf
Revealing the Role of Topological Transitivity in Efficient Trust and Reputation System in Smart Metering Network.
DSDIS
Aminu Bello, William Liu, Quan Bai, Ajit Narayanan
2015 — conf
Simmelian Ties and Structural Holes: Exploring Their Topological Roles in Forming Trust for Securing Wireless Sensor Networks.
TrustCom/BigDataSE/ISPA (1)
Ming Xiang, William Liu, Quan Bai, Adnan Al-Anbuky
2015 — book
Smart Modeling and Simulation for Complex Systems - Practice and Theory
Smart Modeling and Simulation for Complex Systems
Quan Bai, Fenghui Ren, Minjie Zhang, Takayuki Ito, Xijin Tang
2015 Misc conf
The double-edged sword: Revealing the critical role of structural hole in forming trust for securing Wireless sensor networks.
ITNAC
Ming Xiang, William Liu, Quan Bai, Adnan Al-Anbuky
2015 J jnl
Trust of the Same: Rethinking Trust and Reputation Management from a Structural Homophily Perspective.
Int. J. Inf. Secur. Priv.
Aminu Bello, William Liu, Quan Bai, Ajit Narayanan
2015 — conf
Whom You Know Matters: Relook Vehicle-to-Vehicle Communications from a Topological Perspective.
CSoNet
Syed Fakhar Abbas, William Liu, Quan Bai, Adnan Al-Anbuky
2014 — ch.
A Dynamic, Optimal Approach for Multi-Issue Negotiation Under Time Constraints.
Novel Insights in Agent-based Complex Automated Negotiation
Fenghui Ren, Minjie Zhang, Quan Bai
2014 B conf
Accountable Individual Trust from Group Reputations in Multi-agent Systems.
PRICAI
Tung Doan Nguyen, Quan Bai
2014 J jnl
Community Discovery for Knowledge Collaborations in Collective intelligence Systems.
J. Inf. Process.
Jing Jiang, Quan Bai, Minjie Zhang, Shaojie Yuan
2014 — book
Novel Insights in Agent-based Complex Automated Negotiation
Novel Insights in Agent-based Complex Automated Negotiation
Ivan Marsá-Maestre, Miguel A. López-Carmona, Takayuki Ito, Minjie Zhang, Quan Bai, Katsuhide Fujita
2014 B conf
Task-Based Wireless Mobile Agents Search and Deployment for Ad Hoc Network Establishment in Disaster Environments.
PRICAI
Xing Su, Minjie Zhang, Quan Bai
2014 J jnl
Trust-based Adaptive Routing for Smart Grid Systems.
J. Inf. Process.
Ming Xiang, Quan Bai, William Liu
2013 J jnl
A robust trust model for service-oriented systems.
J. Comput. Syst. Sci.
Xing Su, Minjie Zhang, Yi Mu, Quan Bai
2013 — conf
Correlated Contribution Analysis for Service Composition in Dynamic Environments.
IEEE SCC
Jing Jiang, Quan Bai
2013 J jnl
Discover and visualize association rules from sensor observations on the web.
J. Supercomput.
Meng Zhang, Byeong Ho Kang, Quan Bai
2013 — conf
Provenance-Based Trust Estimation for Service Composition.
Australasian Conference on Artificial Intelligence
Jing Jiang, Quan Bai
2013 — conf
TIGER: A Trust-based Intelligent Geographical Energy-aware Routing for Smart Grid Communication Networks.
TrustCom/ISPA/IUCC
Ming Xiang, William Liu, Quan Bai
2012 A conf
Effective methods for generating collision free paths for multiple robots based on collision type (demonstration).
AAMAS
Fan Liu, Ajit Narayanan, Quan Bai
2012 — conf
Self-Adjustable Trust-Based Energy Efficient Routing for Smart Grid Systems.
Web Intelligence/IAT Workshops
Ming Xiang, Quan Bai, William Liu
2012 B conf
Stigmergic Modeling for Web Service Composition and Adaptation.
PRICAI
Ahmed Moustafa, Minjie Zhang, Quan Bai
2012 — conf
Trust-based geographical routing For smart grid communication networks.
SmartGridComm
Ming Xiang, William Liu, Quan Bai
2011 B conf
A Composite Self-organisation Mechanism in an Agent Network.
WISE
Dayong Ye, Minjie Zhang, Quan Bai
2011 — ed.
Advances in Practical Multi-Agent Systems, PRIMA 2009 Workshops, Nagoya, Japan, December 14-16, 2009
PRIMA Workshops
Quan Bai, Naoki Fukuta
2011 B conf
Case-Based Trust Evaluation from Provenance Information.
TrustCom
Quan Bai, Xing Su, Qing Liu, Andrew Terhorst, Minjie Zhang, Yi Mu
2011 B conf
GTrust: An Innovated Trust Model for Group Services Selection in Web-Based Service-Oriented Environments.
WISE
Xing Su, Minjie Zhang, Yi Mu, Quan Bai
2010 J jnl
A Novel Task Allocation Protocol in Agent Organizations and Its Application to Health Care Problems.
Int. J. Comput. Their Appl.
Dayong Ye, Minjie Zhang, Quan Bai, Khin Than Win
2010 — conf
Association Rule Based Situation Awareness in Web-Based Environmental Monitoring Systems.
FGIT-UNESST
Meng Zhang, Byeong Ho Kang, Quan Bai
2010 C conf
Self-organisation in an Agent Network via Multiagent Q-Learning.
PKAW
Dayong Ye, Minjie Zhang, Quan Bai, Takayuki Ito
2010 J jnl
Using colored petri nets to predict future states in agent-based scheduling and planning systems.
Multiagent Grid Syst.
Quan Bai, Fenghui Ren, Minjie Zhang, John Fulcher
2009 — conf
A Hybrid Multi-Agent Framework for Load Management in Power Grid Systems.
PRIMA Workshops
Minjie Zhang, Dayong Ye, Quan Bai, Danny Sutanto, Kashem M. Muttaqi
2009 — conf
A Multi-Agent View of the Sensor Web.
PRIMA Workshops
Quan Bai, Siddeswara Mayura Guru, Daniel V. Smith, Qing Liu, Andrew Terhorst
2009 C conf
An Efficient Task Allocation Protocol for P2P Multi-agent Systems.
ISPA
Dayong Ye, Quan Bai, Minjie Zhang, Khin Than Win, Zhiqi Shen
2009 — conf
Discovery of Core-Nodes in Event-Based Social Networks.
FSKD (2)
Shaojie Yuan, Quan Bai, Minjie Zhang, Khin Than Win
2009 J jnl
Flexible Negotiation Modeling by Using Colored Petri Nets.
J. Inf. Technol. Res.
Quan Bai, Minjie Zhang, Kwang Mong Sim
2008 J jnl
A flexible and reasonable mechanism for self-interested agent team forming.
Multiagent Grid Syst.
Quan Bai, Minjie Zhang
2008 — conf
Ontology-Based Knowledge Representation for a P2P Multi-agent Distributed Intrusion Detection System.
NPC Workshops
Dayong Ye, Quan Bai, Minjie Zhang
2008 — conf
P2P Distributed Intrusion Detections by Using Mobile Agents.
ACIS-ICIS
Dayong Ye, Quan Bai, Minjie Zhang, Zhen Ye
2007 — conf
A Fuzzy-Based Approach for Partner Selection in Multi-Agent Systems.
ACIS-ICIS
Fenghui Ren, Minjie Zhang, Quan Bai
2005 — conf
Dynamic Team Forming in Self-interested Multi-agent Systems.
Australian Conference on Artificial Intelligence
Quan Bai, Minjie Zhang
2003 Misc conf
A Computational Strategy for Information Integration in Meta-Search Agent Systems.
IKE
Quan Bai, Wei Li, Minjie Zhang