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ORCIDQuan Bai 0001
Person information
- affiliation: University of Tasmania, School of Information and Communication Technology, Hobart, Australia
- affiliation (2011 - 2019): Auckland University of Technology, School of Engineering, Computer and Mathematical Sciences, Auckland, New Zealand
- affiliation (2009 - 2011): Commonwealth Scientific and Industrial Research Organisation (CSIRO), CT Centre, Hobart, Australia
- affiliation (PhD 2007): University of Wollongong, School of Information Technology and Computer Science, Wollongong, Australia
Other persons with the same name
- Quan Bai — disambiguation page
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2020 – today
- 2024
[j47]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:
Parallel scale de-blur net for sharpening video images for remote clinical assessment of hand movements. Expert Syst. Appl. 235: 121093 (2024)- [j46]Yanyu Chen, Yunjue Zhou, Mira Park, Son N. Tran, Scott Hadley, Quan Bai:
A novel adaptive ensemble learning framework for automated Beggiatoa Spp. coverage estimation. Expert Syst. Appl. 237(Part B): 121416 (2024) - [j45]Yi Yang, Zhong-Qiu Zhao, Gongqing Wu, Xingrui Zhuo, Qing Liu, Quan Bai, Weihua Li:
A Lightweight, Effective, and Efficient Model for Label Aggregation in Crowdsourcing. ACM Trans. Knowl. Discov. Data 18(4): 81:1-81:27 (2024) - [i21]Guan Wang, Rebecca Frederick, Jinglong Duan, William Wong, Verica Rupar, Weihua Li, Quan Bai:
Detecting misinformation through Framing Theory: the Frame Element-based Model. CoRR abs/2402.15525 (2024) - [i20]Mengyan Wang, Yuxuan Hu, Shiqing Wu, Weihua Li, Quan Bai, Verica Rupar:
Balancing Information Perception with Yin-Yang: Agent-Based Information Neutrality Model for Recommendation Systems. CoRR abs/2404.04906 (2024) - 2023
- [j44]Mengyan Wang, Weihua Li, Jingli Shi, Shiqing Wu, Quan Bai:
DOR: a novel dual-observation-based approach for recommendation systems. Appl. Intell. 53(23): 29109-29127 (2023) - [j43]Weihua Li, Yuxuan Hu, Chenting Jiang, Shiqing Wu, Quan Bai, Edmund M.-K. Lai:
ABEM: An adaptive agent-based evolutionary approach for influence maximization in dynamic social networks. Appl. Soft Comput. 136: 110062 (2023) - [j42]Guan Huang, Renjie Li, Quan Bai, Jane E. Alty:
Multimodal learning of clinically accessible tests to aid diagnosis of neurodegenerative disorders: a scoping review. Health Inf. Sci. Syst. 11(1): 32 (2023) - [j41]Jingli Shi, Weihua Li, Quan Bai, Yi Yang, Jianhua Jiang:
Syntax-enhanced aspect-based sentiment analysis with multi-layer attention. Neurocomputing 557: 126730 (2023) - [j40]Shiqing Wu, Weihua Li, Hao Shen, Quan Bai:
Identifying influential users in unknown social networks for adaptive incentive allocation under budget restriction. Inf. Sci. 624: 128-146 (2023) - [j39]Jingli Shi, Weihua Li, Quan Bai, Yi Yang, Jianhua Jiang:
Soft prompt enhanced joint learning for cross-domain aspect-based sentiment analysis. Intell. Syst. Appl. 20: 200292 (2023) - [j38]Xiang Li, Qing Liu, Shiqing Wu, Zehong Cao, Quan Bai:
Game theory based compatible incentive mechanism design for non-cryptocurrency blockchain systems. J. Ind. Inf. Integr. 31: 100426 (2023) - [j37]Shiqing Wu, Weihua Li, Quan Bai:
GAC: A deep reinforcement learning model toward user incentivization in unknown social networks. Knowl. Based Syst. 259: 110060 (2023) - [j36]Guan Huang, Son N. Tran, Quan Bai, Jane E. Alty:
Real-time automated detection of older adults' hand gestures in home and clinical settings. Neural Comput. Appl. 35(11): 8143-8156 (2023) - [c76]Wenli Yang, Guan Huang, Renjie Li, Jiahao Yu, Yanyu Chen, Quan Bai:
Hybrid CNN-Interpreter: Interprete Local and Global Contexts for CNN-Based Models. AI (2) 2023: 197-208 - [c75]Li Xiao, Weihua Li, Quan Bai, Minh Nguyen:
Exploring the Potential of Image Overlay in Self-supervised Learning: A Study on SimSiam Networks and Strategies for Preventing Model Collapse. PKAW 2023: 29-42 - [c74]Zihan Yuan, Weihua Li, Quan Bai:
An Assessment of the Influence of Interaction and Recommendation Approaches on the Formation of Information Filter Bubbles. PKAW 2023: 98-110 - [c73]Guan Wang, Weihua Li, Shiqing Wu, Quan Bai, Edmund M.-K. Lai:
BeECD: Belief-Aware Echo Chamber Detection over Twitter Stream. PRICAI (3) 2023: 307-319 - [c72]Naimeng Yao, Qing Liu, Yi Yang, Weihua Li, Quan Bai:
Entity-Relation Distribution-Aware Negative Sampling for Knowledge Graph Embedding. ISWC 2023: 234-252 - [i19]Mengyan Wang, Weihua Li, Jingli Shi, Shiqing Wu, Quan Bai:
DOR: A Novel Dual-Observation-Based Approach for News Recommendation Systems. CoRR abs/2302.01443 (2023) - [i18]Renjie Li, Chun Yu Lao, Rebecca J. St. George, Katherine Lawler, Saurabh Garg, Son N. Tran, Quan Bai, Jane E. Alty:
Rapid-Motion-Track: Markerless Tracking of Fast Human Motion with Deeper Learning. CoRR abs/2302.08505 (2023) - [i17]Jingli Shi, Weihua Li, Quan Bai, Yi Yang, Jianhua Jiang:
Soft Prompt Guided Joint Learning for Cross-Domain Sentiment Analysis. CoRR abs/2303.00815 (2023) - [i16]Guan Wang, Weihua Li, Edmund M.-K. Lai, Quan Bai:
AaKOS: Aspect-adaptive Knowledge-based Opinion Summarization. CoRR abs/2306.05537 (2023) - [i15]Mengyan Wang, Yuxuan Hu, Zihan Yuan, Chenting Jiang, Weihua Li, Shiqing Wu, Quan Bai:
BHEISR: Nudging from Bias to Balance - Promoting Belief Harmony by Eliminating Ideological Segregation in Knowledge-based Recommendations. CoRR abs/2307.02797 (2023) - 2022
- [j35]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:
Moving towards intelligent telemedicine: Computer vision measurement of human movement. Comput. Biol. Medicine 147: 105776 (2022) - [j34]Jingli Shi, Weihua Li, Sira Yongchareon, Yi Yang, Quan Bai:
Graph-based joint pandemic concern and relation extraction on Twitter. Expert Syst. Appl. 195: 116538 (2022) - [j33]Wenli Yang, Saurabh Garg, Quan Bai, Byeong Kang:
Smart-contract enabled decentralized knowledge fusion for blockchain-based conversation system. Expert Syst. Appl. 203: 117089 (2022) - [j32]Renjie Li, Xinyi Wang, Katherine Lawler, Saurabh Garg, Quan Bai, Jane E. Alty:
Applications of artificial intelligence to aid early detection of dementia: A scoping review on current capabilities and future directions. J. Biomed. Informatics 127: 104030 (2022) - [j31]Jingli Shi, Weihua Li, Quan Bai, Takayuki Ito:
BeeAE: effective aspect term extraction with artificial bee colony. J. Supercomput. 78(16): 17969-17991 (2022) - [c71]Yanyu Chen, Yunjue Zhou, Son N. Tran, Mira Park, Scott Hadley, Myriam Lacharité, Quan Bai:
A Self-learning Approach for Beggiatoa Coverage Estimation in Aquaculture. AI 2022: 405-416 - [c70]Liuchun Yao, Mira Park, Saurabh Garg, Quan Bai:
Eye Movement and Visual Target Synchronization Level Detection Using Deep Learning. AI 2022: 668-678 - [c69]Jingli Shi, Lui Hellesoe, Guan Wang, Weihua Li, Quan Bai:
Focus-Based Text Summarisation with Hybrid Embeddings. AI 2022: 705-715 - [c68]Yuxuan Hu, Shiqing Wu, Chenting Jiang, Weihua Li, Quan Bai, Erin Roehrer:
AI Facilitated Isolations? The Impact of Recommendation-based Influence Diffusion in Human Society. IJCAI 2022: 5080-5086 - [c67]Xinchun Zhang, Weihua Li, Quan Bai, William Liu, Huan Wang:
A Novel Story Plots Extraction Based Rapid Reading Comprehension System to Assist the Education for Low-income Families. ITNAC 2022: 127-132 - [c66]Naimeng Yao, Qing Liu, Xiang Li, Yi Yang, Quan Bai:
Entity Similarity-Based Negative Sampling for Knowledge Graph Embedding. PRICAI (2) 2022: 73-87 - [c65]Ruijun Li, Weihua Li, Yi Yang, Quan Bai:
Obj-SA-GAN: Object-Driven Text-to-Image Synthesis with Self-Attention Based Full Semantic Information Mining. PRICAI (1) 2022: 339-350 - [e10]Sankalp Khanna, Jian Cao, Quan Bai, Guandong Xu:
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. Lecture Notes in Computer Science 13629, Springer 2022, ISBN 978-3-031-20861-4 [contents] - [e9]Sankalp Khanna, Jian Cao, Quan Bai, Guandong Xu:
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. Lecture Notes in Computer Science 13630, Springer 2022, ISBN 978-3-031-20864-5 [contents] - [e8]Sankalp Khanna, Jian Cao, Quan Bai, Guandong Xu:
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. Lecture Notes in Computer Science 13631, Springer 2022, ISBN 978-3-031-20867-6 [contents] - [i14]Shiqing Wu, Weihua Li, Quan Bai:
GAC: A Deep Reinforcement Learning Model Toward User Incentivization in Unknown Social Networks. CoRR abs/2203.09578 (2022) - [i13]Renjie Li, Xinyi Wang, Guan Huang, Wenli Yang, Kaining Zhang, Xiaotong Gu, Son N. Tran, Saurabh Garg, Jane E. Alty, Quan Bai:
A Comprehensive Review on Deep Supervision: Theories and Applications. CoRR abs/2207.02376 (2022) - [i12]Ruijun Li, Weihua Li, Yi Yang, Hanyu Wei, Jianhua Jiang, Quan Bai:
Swinv2-Imagen: Hierarchical Vision Transformer Diffusion Models for Text-to-Image Generation. CoRR abs/2210.09549 (2022) - [i11]Wenli Yang, Guan Huang, Renjie Li, Jiahao Yu, Yanyu Chen, Quan Bai, Beyong Kang:
Hybrid CNN -Interpreter: Interpret local and global contexts for CNN-based Models. CoRR abs/2211.00185 (2022) - [i10]Yi Yang, Zhong-Qiu Zhao, Quan Bai, Qing Liu, Weihua Li:
A Light-weight, Effective and Efficient Model for Label Aggregation in Crowdsourcing. CoRR abs/2212.00007 (2022) - 2021
- [j30]Xinyi Wang, Saurabh Garg, Son N. Tran, Quan Bai, Jane E. Alty:
Hand tremor detection in videos with cluttered background using neural network based approaches. Health Inf. Sci. Syst. 9(1): 30 (2021) - [j29]Nor Azimah Khalid, Quan Bai, Adnan Al-Anbuky:
Distributed consensus-based routing protocol with multiple mobile sinks support for wireless sensor network. IET Wirel. Sens. Syst. 11(3): 131-145 (2021) - [j28]Weihua Li, Quan Bai, Ling Liang, Yi Yang, Yuxuan Hu, Minjie Zhang:
Social influence minimization based on context-aware multiple influences diffusion model. Knowl. Based Syst. 227: 107233 (2021) - [j27]Chenting Jiang, Anthony D'Arienzo, Weihua Li, Shiqing Wu, Quan Bai:
An Operator-Based Approach for Modeling Influence Diffusion in Complex Social Networks. J. Soc. Comput. 2(2): 166-182 (2021) - [c64]Xiaohu Li, Zehong Cao, Quan Bai:
A Novel Mountain Driving Unity Simulated Environment for Autonomous Vehicles. AAAI 2021: 16075-16077 - [c63]Shiqing Wu, Quan Bai, Weihua Li:
Learning Policies for Effective Incentive Allocation in Unknown Social Networks. AAMAS 2021: 1701-1703 - [c62]Lan Zhang, Weihua Li, Quan Bai, Edmund M.-K. Lai:
Graph-based Self-Adaptive Conversational Agent. AAMAS 2021: 1791-1793 - [c61]Chenting Jiang, Weihua Li, Shiqing Wu, Quan Bai:
OMT: An Operate-Based Approach for Modelling Multi-topic Influence Diffusion in Online Social Networks. WISE (1) 2021: 542-556 - [e7]Hiroshi Uehara, Takayasu Yamaguchi, Quan Bai:
Knowledge Management and Acquisition for Intelligent Systems - 17th Pacific Rim Knowledge Acquisition Workshop, PKAW 2020, Yokohama, Japan, January 7-8, 2021, Proceedings. Lecture Notes in Computer Science 12280, Springer 2021, ISBN 978-3-030-69885-0 [contents] - [e6]Takahiro Uchiya, Quan Bai, Ivan Marsá-Maestre:
PRIMA 2020: Principles and Practice of Multi-Agent Systems - 23rd International Conference, Nagoya, Japan, November 18-20, 2020, Proceedings. Lecture Notes in Computer Science 12568, Springer 2021, ISBN 978-3-030-69321-3 [contents] - [i9]Jiaqi Wu, Weihua Li, Quan Bai, Takayuki Ito, Ahmed Moustafa:
Privacy Information Classification: A Hybrid Approach. CoRR abs/2101.11574 (2021) - [i8]Weihua Li, Yuxuan Hu, Shiqing Wu, Quan Bai, Edmund M.-K. Lai:
ABEM: An Adaptive Agent-based Evolutionary Approach for Mining Influencers in Online Social Networks. CoRR abs/2104.06563 (2021) - [i7]Renjie Li, Xinyi Wang, Katherine Lawler, Saurabh Garg, Quan Bai, Jane E. Alty:
Applications of Artificial Intelligence to aid detection of dementia: a narrative review on current capabilities and future directions. CoRR abs/2104.14073 (2021) - [i6]Jingli Shi, Weihua Li, Sira Yongchareon, Yi Yang, Quan Bai:
Graph-based Joint Pandemic Concern and Relation Extraction on Twitter. CoRR abs/2106.09929 (2021) - [i5]Shiqing Wu, Weihua Li, Hao Shen, Quan Bai:
Identifying Influential Users in Unknown Social Networks for Adaptive Incentive Allocation Under Budget Restriction. CoRR abs/2107.05992 (2021) - [i4]Guan Huang, Son N. Tran, Quan Bai, Jane E. Alty:
Hand gesture detection in tests performed by older adults. CoRR abs/2110.14461 (2021) - [i3]Renjie Li, Son N. Tran, Saurabh Garg, Katherine Lawler, Jane E. Alty, Quan Bai:
Parallel Multi-Scale Networks with Deep Supervision for Hand Keypoint Detection. CoRR abs/2112.10275 (2021) - 2020
- [c60]Mo Nguyen, Jian Yu, Quan Bai, Sira Yongchareon, Yanbo Han:
Attentional Matrix Factorization with Document-context awareness and Implicit API Relationship for Service Recommendation. ACSW 2020: 17:1-17:10 - [c59]Mo Nguyen, Quan Bai, Jian Yu:
A Blockchain-based trust model for crowd environments. ACSW 2020: 20:1-20:7 - [c58]Zehong Cao, Kaichiu Wong, Quan Bai, Chin-Teng Lin:
Hierarchical and Non-Hierarchical Multi-Agent Interactions Based on Unity Reinforcement Learning. AAMAS 2020: 2095-2097 - [c57]Xianglin Zheng, Zehong Cao, Quan Bai:
An Evoked Potential-Guided Deep Learning Brain Representation for Visual Classification. ICONIP (5) 2020: 54-61 - [c56]Jingli Shi, Weihua Li, Yi Yang, Naimeng Yao, Quan Bai, Sira Yongchareon, Jian Yu:
Automated Concern Exploration in Pandemic Situations - COVID-19 as a Use Case. PKAW 2020: 178-185 - [i2]Xianglin Zheng, Zehong Cao, Quan Bai:
An Evoked Potential-Guided Deep Learning Brain Representation For Visual Classification. CoRR abs/2006.15357 (2020)
2010 – 2019
- 2019
- [j26]Nor Azimah Khalid, Quan Bai, Adnan Al-Anbuky:
Adaptive Trust-Based Routing Protocol for Large Scale WSNs. IEEE Access 7: 143539-143549 (2019) - [j25]Weihua Li, Quan Bai, Minjie Zhang:
A Multi-agent System for Modelling Preference-Based Complex Influence Diffusion in Social Networks. Comput. J. 62(3): 430-447 (2019) - [j24]Xing Su, Minjie Zhang, Quan Bai:
Two Mathematical Programming-Based Approaches for Wireless Mobile Robot Deployment in Disaster Environments. Comput. J. 62(6): 905-918 (2019) - [j23]Yi Yang, Quan Bai, Qing Liu:
A probabilistic model for truth discovery with object correlations. Knowl. Based Syst. 165: 360-373 (2019) - [j22]Xing Su, Minjie Zhang, Quan Bai:
An Innovative Approach for Ad Hoc Network Establishment in Disaster Environments by the Deployment of Wireless Mobile Agents. ACM Trans. Auton. Adapt. Syst. 13(4): 19:1-19:22 (2019) - [j21]Weihua Li, Quan Bai, Minjie Zhang:
SIMiner: A Stigmergy-Based Model for Mining Influential Nodes in Dynamic Social Networks. IEEE Trans. Big Data 5(2): 223-237 (2019) - [j20]Weihua Li, Quan Bai, Minjie Zhang, Tung Doan Nguyen:
Automated Influence Maintenance in Social Networks: An Agent-based Approach. IEEE Trans. Knowl. Data Eng. 31(10): 1884-1897 (2019) - [j19]Molood Barati, Quan Bai, Qing Liu:
Automated Class Correction and Enrichment in the Semantic Web. J. Web Semant. 59 (2019) - [c55]Yi Yang, Quan Bai, Qing Liu:
Dynamic Source Weight Computation for Truth Inference over Data Streams. AAMAS 2019: 277-285 - [c54]Yi Yang, Quan Bai, Qing Liu:
Modeling Random Guessing and Task Difficulty for Truth Inference in Crowdsourcing. AAMAS 2019: 2288-2290 - [c53]Mengyan Wang, Weihua Li, Yan Kong, Quan Bai:
Empirical Evaluation of Deep Learning-Based Travel Time Prediction. PKAW 2019: 54-65 - [c52]Yuxuan Hu, Quan Bai, Weihua Li:
Context-Aware Influence Diffusion in Online Social Networks. PKAW 2019: 153-162 - [c51]Shiqing Wu, Quan Bai, Byeong Ho Kang:
Adaptive Incentive Allocation for Influence-Aware Proactive Recommendation. PRICAI (1) 2019: 649-661 - [c50]Shiqing Wu, Quan Bai:
Incentivizing Long-Term Engagement Under Limited Budget. PRICAI (1) 2019: 662-674 - [e5]Kouzou Ohara, Quan Bai:
Knowledge Management and Acquisition for Intelligent Systems - 16th Pacific Rim Knowledge Acquisition Workshop, PKAW 2019, Cuvu, Fiji, August 26-27, 2019, Proceedings. Lecture Notes in Computer Science 11669, Springer 2019, ISBN 978-3-030-30638-0 [contents] - [i1]Khavee Agustus Botangen, Jian Yu, Sira Yongchareon, Liang Huai Yang, Quan Bai:
Specifying and Reasoning about Contextual Preferences in the Goal-oriented Requirements Modelling. CoRR abs/1905.06437 (2019) - 2018
- [j18]Tung Doan Nguyen, Quan Bai:
A Dynamic Bayesian Network approach for agent group trust evaluation. Comput. Hum. Behav. 89: 237-245 (2018) - [c49]Khavee Agustus Botangen, Jian Yu, Sira Yongchareon, Liang Huai Yang, Quan Bai:
Specifying and reasoning about contextual preferences in the goal-oriented requirements modelling. ACSW 2018: 47:1-47:10 - [c48]Weihua Li, Quan Bai, Minjie Zhang, Tung Doan Nguyen:
Modelling Multiple Influences Diffusion in On-line Social Networks. AAMAS 2018: 1053-1061 - [c47]Molood Barati, Quan Bai, Qing Liu:
An Entropy-Based Class Assignment Detection Approach for RDF Data. PRICAI 2018: 412-420 - [c46]Yi Yang, Quan Bai, Qing Liu:
On the Discovery of Continuous Truth: A Semi-supervised Approach with Partial Ground Truths. WISE (1) 2018: 424-438 - 2017
- [j17]Tung Doan Nguyen, Quan Bai:
Enhance Trust Management in Composite Services with Indirect Ratings. Comput. J. 60(11): 1619-1632 (2017) - [j16]Molood Barati, Quan Bai, Qing Liu:
Mining semantic association rules from RDF data. Knowl. Based Syst. 133: 183-196 (2017) - [j15]Lei Niu, Fenghui Ren, Minjie Zhang, Quan Bai:
A Concurrent Multiple Negotiation Protocol Based on Colored Petri Nets. IEEE Trans. Cybern. 47(11): 3692-3705 (2017) - [c45]Zijian Zhang, Jiamou Liu, Ziheng Wei, Yingying Tao, Quan Bai:
From Secrete Admirer to Cyberstalker: A Measure of Online Interpersonal Surveillance. ASONAM 2017: 613-614 - [c44]Weihua Li, Quan Bai, Tung Doan Nguyen, Minjie Zhang:
Agent-based Influence Maintenance in Social Networks. AAMAS 2017: 1592-1594 - [c43]Yingying Tao, Quan Bai, Jiamou Liu, Hangxia Zhou:
Detecting abnormal attention in online social networks from local views. ICA 2017: 2-7 - [c42]Sotsay Sengvong, Quan Bai:
Persuasive public-friendly route recommendation with flexible rewards. ICA 2017: 109-114 - [c41]Ming Xiang, William Liu, Quan Bai, Adnan Al-Anbuky, Jinsong Wu, Arjuna Sathiaseelan:
NTaaS: Network trustworthiness as a service. ITNAC 2017: 1-6 - 2016
- [j14]Ming Xiang, William Liu, Quan Bai:
A fuzzy logic-based sustainable and trusted routing for P2P enabled smart grid. Int. J. Comput. Sci. Eng. 13(2): 165-174 (2016) - [j13]Xing Su, Minjie Zhang, Quan Bai:
Coordination for dynamic weighted task allocation in disaster environments with time, space and communication constraints. J. Parallel Distributed Comput. 97: 47-56 (2016) - [j12]Ahmed Moustafa, Minjie Zhang, Quan Bai:
Trustworthy Stigmergic Service Compositionand Adaptation in Decentralized Environments. IEEE Trans. Serv. Comput. 9(2): 317-329 (2016) - [c40]Tung Doan Nguyen, Quan Bai:
Trust Management for Composite Services in Distributed Multi-agent Systems with Indirect Ratings: (Extended Abstract). AAMAS 2016: 1295-1296 - [c39]Quan Bai, Weihua Li, Jing Jiang:
Mining Context Specific Inter-personalised Trust for Recommendation Generation in Preference Networks. Australasian Conference on Artificial Intelligence 2016: 573-584 - [c38]Weihua Li, Quan Bai, Minjie Zhang:
Comprehensive Influence Propagation Modelling for Hybrid Social Network. Australasian Conference on Artificial Intelligence 2016: 597-608 - [c37]Nor Azimah Khalid, Quan Bai, Adnan Al-Anbuky:
An Adaptive Agent-Based Partner Selection for Routing Packet in Distributed Wireless Sensor Network. ICA 2016: 37-42 - [c36]Weihua Li, Quan Bai, Minjie Zhang:
Agent-Based Influence Propagation in Social Networks. ICA 2016: 51-56 - [c35]Molood Barati, Quan Bai, Qing Liu:
SWARM: An Approach for Mining Semantic Association Rules from Semantic Web Data. PRICAI 2016: 30-43 - [c34]Weihua Li, Quan Bai, Chang Jiang, Minjie Zhang:
Stigmergy-Based Influence Maximization in Social Networks. PRICAI 2016: 750-762 - [c33]Jiamou Liu, Yingying Tao, Quan Bai:
Towards Exposing Cyberstalkers in Online Social Networks. PRICAI 2016: 763-770 - [c32]Tung Doan Nguyen, Quan Bai, Weihua Li:
Capability-Aware Trust Evaluation Model in Multi-agent Systems. PRICAI 2016: 771-778 - [c31]Qing Liu, Quan Bai, Yi Yang:
Semantic Similarity of Workflow Traces with Various Granularities. WISE (1) 2016: 211-226 - [e4]Byeong Ho Kang, Quan Bai:
AI 2016: Advances in Artificial Intelligence - 29th Australasian Joint Conference, Hobart, TAS, Australia, December 5-8, 2016, Proceedings. Lecture Notes in Computer Science 9992, Springer 2016, ISBN 978-3-319-50126-0 [contents] - 2015
- [j11]Xing Su, Minjie Zhang, Quan Bai:
Dynamic Task Allocation for Heterogeneous Agents in Disaster Environments Under Time, Space and Communication Constraints. Comput. J. 58(8): 1776-1791 (2015) - [j10]Ming Xiang, William Liu, Quan Bai, Adnan Al-Anbuky:
Avoiding the Opportunist: The Role of Simmelian Ties in Fostering the Trust in Sensor-Cloud Networks. Int. J. Distributed Sens. Networks 11: 873941:1-873941:11 (2015) - [j9]Aminu Bello, William Liu, Quan Bai, Ajit Narayanan:
Trust of the Same: Rethinking Trust and Reputation Management from a Structural Homophily Perspective. Int. J. Inf. Secur. Priv. 9(2): 13-30 (2015) - [c30]Syed Fakhar Abbas, William Liu, Quan Bai, Adnan Al-Anbuky:
Whom You Know Matters: Relook Vehicle-to-Vehicle Communications from a Topological Perspective. CSoNet 2015: 248-261 - [c29]Aminu Bello, William Liu, Quan Bai, Ajit Narayanan:
Revealing the Role of Topological Transitivity in Efficient Trust and Reputation System in Smart Metering Network. DSDIS 2015: 337-342 - [c28]Aminu Bello, William Liu, Quan Bai, Ajit Narayanan:
Exploring the Role of Structural Similarity in Securing Smart Metering Infrastructure. DSDIS 2015: 343-349 - [c27]Craig G. Walker, Adnan Al-Anbuky, Quan Bai:
OTAP arbitration effects in randomly deployed WSN's. ITNAC 2015: 100-105 - [c26]Ming Xiang, William Liu, Quan Bai, Adnan Al-Anbuky:
The double-edged sword: Revealing the critical role of structural hole in forming trust for securing Wireless sensor networks. ITNAC 2015: 286-291 - [c25]Ming Xiang, William Liu, Quan Bai, Adnan Al-Anbuky:
Simmelian Ties and Structural Holes: Exploring Their Topological Roles in Forming Trust for Securing Wireless Sensor Networks. TrustCom/BigDataSE/ISPA (1) 2015: 96-103 - [c24]Xing Su, Minjie Zhang, Quan Bai:
A Wireless Mobile Robots Deployment Approach for Maximising the Coverage of Important Locations in Disaster Rescues. WI-IAT (2) 2015: 17-20 - [p2]Xing Su, Minjie Zhang, Quan Bai:
Decentralised Task Allocation Under Space, Time and Communication Constraints in Disaster Domains. Smart Modeling and Simulation for Complex Systems 2015: 41-57 - [e3]Quan Bai, Fenghui Ren, Minjie Zhang, Takayuki Ito, Xijin Tang:
Smart Modeling and Simulation for Complex Systems - Practice and Theory. Studies in Computational Intelligence 564, Springer 2015, ISBN 978-4-431-55208-6 [contents] - 2014
- [j8]Ming Xiang, Quan Bai, William Liu:
Trust-based Adaptive Routing for Smart Grid Systems. J. Inf. Process. 22(2): 210-218 (2014) - [j7]Jing Jiang, Quan Bai, Minjie Zhang, Shaojie Yuan:
Community Discovery for Knowledge Collaborations in Collective intelligence Systems. J. Inf. Process. 22(2): 243-252 (2014) - [c23]Xing Su, Minjie Zhang, Quan Bai:
Task-Based Wireless Mobile Agents Search and Deployment for Ad Hoc Network Establishment in Disaster Environments. PRICAI 2014: 1023-1035 - [c22]Tung Doan Nguyen, Quan Bai:
Accountable Individual Trust from Group Reputations in Multi-agent Systems. PRICAI 2014: 1063-1075 - [p1]Fenghui Ren, Minjie Zhang, Quan Bai:
A Dynamic, Optimal Approach for Multi-Issue Negotiation Under Time Constraints. Novel Insights in Agent-based Complex Automated Negotiation 2014: 85-108 - [e2]Ivan Marsá-Maestre, Miguel A. López-Carmona, Takayuki Ito, Minjie Zhang, Quan Bai, Katsuhide Fujita:
Novel Insights in Agent-based Complex Automated Negotiation. Studies in Computational Intelligence 535, Springer 2014, ISBN 978-4-431-54757-0 [contents] - 2013
- [j6]Xing Su, Minjie Zhang, Yi Mu, Quan Bai:
A robust trust model for service-oriented systems. J. Comput. Syst. Sci. 79(5): 596-608 (2013) - [j5]Meng Zhang, Byeong Ho Kang, Quan Bai:
Discover and visualize association rules from sensor observations on the web. J. Supercomput. 65(1): 4-15 (2013) - [c21]Jing Jiang, Quan Bai:
Correlated Contribution Analysis for Service Composition in Dynamic Environments. IEEE SCC 2013: 113-119 - [c20]Jing Jiang, Quan Bai:
Provenance-Based Trust Estimation for Service Composition. Australasian Conference on Artificial Intelligence 2013: 68-73 - [c19]Ming Xiang, William Liu, Quan Bai:
TIGER: A Trust-based Intelligent Geographical Energy-aware Routing for Smart Grid Communication Networks. TrustCom/ISPA/IUCC 2013: 65-72 - 2012
- [c18]Fan Liu, Ajit Narayanan, Quan Bai:
Effective methods for generating collision free paths for multiple robots based on collision type (demonstration). AAMAS 2012: 1459-1460 - [c17]Ming Xiang, Quan Bai, William Liu:
Self-Adjustable Trust-Based Energy Efficient Routing for Smart Grid Systems. Web Intelligence/IAT Workshops 2012: 378-382 - [c16]Ahmed Moustafa, Minjie Zhang, Quan Bai:
Stigmergic Modeling for Web Service Composition and Adaptation. PRICAI 2012: 324-334 - [c15]Ming Xiang, William Liu, Quan Bai:
Trust-based geographical routing For smart grid communication networks. SmartGridComm 2012: 704-709 - 2011
- [c14]Quan Bai, Xing Su, Qing Liu, Andrew Terhorst, Minjie Zhang, Yi Mu:
Case-Based Trust Evaluation from Provenance Information. TrustCom 2011: 336-343 - [c13]Dayong Ye, Minjie Zhang, Quan Bai:
A Composite Self-organisation Mechanism in an Agent Network. WISE 2011: 249-256 - [c12]Xing Su, Minjie Zhang, Yi Mu, Quan Bai:
GTrust: An Innovated Trust Model for Group Services Selection in Web-Based Service-Oriented Environments. WISE 2011: 306-313 - [e1]Quan Bai, Naoki Fukuta:
Advances in Practical Multi-Agent Systems, PRIMA 2009 Workshops, Nagoya, Japan, December 14-16, 2009. Studies in Computational Intelligence 325, 2011, ISBN 978-3-642-16097-4 [contents] - 2010
- [j4]Dayong Ye, Minjie Zhang, Quan Bai, Khin Than Win:
A Novel Task Allocation Protocol in Agent Organizations and Its Application to Health Care Problems. Int. J. Comput. Their Appl. 17(3): 150-160 (2010) - [j3]Quan Bai, Fenghui Ren, Minjie Zhang, John Fulcher:
Using colored petri nets to predict future states in agent-based scheduling and planning systems. Multiagent Grid Syst. 6(5-6): 527-542 (2010) - [c11]Meng Zhang, Byeong Ho Kang, Quan Bai:
Association Rule Based Situation Awareness in Web-Based Environmental Monitoring Systems. FGIT-UNESST 2010: 224-232 - [c10]Dayong Ye, Minjie Zhang, Quan Bai, Takayuki Ito:
Self-organisation in an Agent Network via Multiagent Q-Learning. PKAW 2010: 14-26
2000 – 2009
- 2009
- [j2]Quan Bai, Minjie Zhang, Kwang Mong Sim:
Flexible Negotiation Modeling by Using Colored Petri Nets. J. Inf. Technol. Res. 2(3): 1-16 (2009) - [c9]Shaojie Yuan, Quan Bai, Minjie Zhang, Khin Than Win:
Discovery of Core-Nodes in Event-Based Social Networks. FSKD (2) 2009: 430-434 - [c8]Dayong Ye, Quan Bai, Minjie Zhang, Khin Than Win, Zhiqi Shen:
An Efficient Task Allocation Protocol for P2P Multi-agent Systems. ISPA 2009: 11-18 - [c7]Minjie Zhang, Dayong Ye, Quan Bai, Danny Sutanto, Kashem M. Muttaqi:
A Hybrid Multi-Agent Framework for Load Management in Power Grid Systems. PRIMA Workshops 2009: 129-143 - [c6]Quan Bai, Siddeswara Mayura Guru, Daniel V. Smith, Qing Liu, Andrew Terhorst:
A Multi-Agent View of the Sensor Web. PRIMA Workshops 2009: 435-444 - 2008
- [j1]Quan Bai, Minjie Zhang:
A flexible and reasonable mechanism for self-interested agent team forming. Multiagent Grid Syst. 4(1): 85-101 (2008) - [c5]Dayong Ye, Quan Bai, Minjie Zhang, Zhen Ye:
P2P Distributed Intrusion Detections by Using Mobile Agents. ACIS-ICIS 2008: 259-265 - [c4]Dayong Ye, Quan Bai, Minjie Zhang:
Ontology-Based Knowledge Representation for a P2P Multi-agent Distributed Intrusion Detection System. NPC Workshops 2008: 111-118 - 2007
- [c3]Fenghui Ren, Minjie Zhang, Quan Bai:
A Fuzzy-Based Approach for Partner Selection in Multi-Agent Systems. ACIS-ICIS 2007: 457-462 - 2005
- [c2]Quan Bai, Minjie Zhang:
Dynamic Team Forming in Self-interested Multi-agent Systems. Australian Conference on Artificial Intelligence 2005: 674-683 - 2003
- [c1]Quan Bai, Wei Li, Minjie Zhang:
A Computational Strategy for Information Integration in Meta-Search Agent Systems. IKE 2003: 44-49
Coauthor Index
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