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ORCIDWeihua Li 0007
Person information
- affiliation: Auckland University of Technology, School of Engineering, Computer and Mathematical Sciences, New Zealand
Other persons with the same name
- Weihua Li (aka: Wei-Hua Li, Wei-hua Li, Wei Hua Li) — disambiguation page
- Weihua Li 0001
![[0000-0002-6190-8421]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6190-8421")
— University of Wollongong, Faculty of Engineering and Information Sciences - Weihua Li 0002 — University of Electronic Science and Technology of China, Chengdu, China
- WeiHua James Li (aka: Weihua Li 0003) — MIT, Media Lab, Cambridge, MA, USA
- Weihua Li 0004 — South China University of Technology, School of Mechanical and Automotive Engineering, Guangzhou, China (and 1 more)
- Weihua Li 0005 — East China University of Science and Technology, School of Pharmacy, Shanghai, China
- Weihua Li 0006 — Yunnan University, School of Information Science and Engineering, Kunming, China
- Weihua Li 0008 — Harbin Institute of Technology, School of Automotive Engineering, Weihai, China (and 1 more)
- Weihua Li 0009 — Northeastern University, College of Information Science and Engineering, Shenyang, Liaoning, China
- Weihua Li 0010 — Tongji University, School of Surveying Mapping and Geographic Information, Shanghai, China (and 1 more)
- Weihua Li 0011 — Air Force Engineering University, Institute Information and Navigation, Xi'an, China
- Weihua Li 0012 — University of Alberta, Department of Chemical and Materials Engineering, Edmonton, Canada (and 1 more)
- Weihua Li 0013 — Guangdong University of Technology, School of Computer Science and Technology, Key Laboratory of Innovation Method and Decision Management System of Guangdong Province, Guangzhou, China
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Journal Articles
- 2024
[j15]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)- 2023
- [j14]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) - [j13]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) - [j12]Jingli Shi, Weihua Li, Quan Bai, Yi Yang, Jianhua Jiang:
Syntax-enhanced aspect-based sentiment analysis with multi-layer attention. Neurocomputing 557: 126730 (2023) - [j11]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) - [j10]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) - [j9]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) - 2022
- [j8]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) - [j7]Jianhua Jiang, Ziying Zhao, Yutong Liu, Weihua Li, Huan Wang:
DSGWO: An improved grey wolf optimizer with diversity enhanced strategy based on group-stage competition and balance mechanisms. Knowl. Based Syst. 250: 109100 (2022) - [j6]Jingli Shi, Weihua Li, Quan Bai, Takayuki Ito:
BeeAE: effective aspect term extraction with artificial bee colony. J. Supercomput. 78(16): 17969-17991 (2022) - 2021
- [j5]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) - [j4]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) - 2019
- [j3]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) - [j2]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) - [j1]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)
Conference and Workshop Papers
- 2023
- [c23]Jia Hui Feng, Edmund M.-K. Lai, Weihua Li:
A Study of Neural Collapse for Text Classification. DeLTA 2023: 126-142 - [c22]Rafik Hadfi, Weihua Li, Takayuki Ito:
Preface ICA 2023. ICA 2023: viii - [c21]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 - [c20]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 - [c19]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 - [c18]Naimeng Yao, Qing Liu, Yi Yang, Weihua Li, Quan Bai:
Entity-Relation Distribution-Aware Negative Sampling for Knowledge Graph Embedding. ISWC 2023: 234-252 - 2022
- [c17]Jingli Shi, Lui Hellesoe, Guan Wang, Weihua Li, Quan Bai:
Focus-Based Text Summarisation with Hybrid Embeddings. AI 2022: 705-715 - [c16]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 - [c15]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 - [c14]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 - 2021
- [c13]Shiqing Wu, Quan Bai, Weihua Li:
Learning Policies for Effective Incentive Allocation in Unknown Social Networks. AAMAS 2021: 1701-1703 - [c12]Lan Zhang, Weihua Li, Quan Bai, Edmund M.-K. Lai:
Graph-based Self-Adaptive Conversational Agent. AAMAS 2021: 1791-1793 - [c11]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 - 2020
- [c10]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 - 2019
- [c9]Mengyan Wang, Weihua Li, Yan Kong, Quan Bai:
Empirical Evaluation of Deep Learning-Based Travel Time Prediction. PKAW 2019: 54-65 - [c8]Yuxuan Hu, Quan Bai, Weihua Li:
Context-Aware Influence Diffusion in Online Social Networks. PKAW 2019: 153-162 - 2018
- [c7]Weihua Li, Quan Bai, Minjie Zhang, Tung Doan Nguyen:
Modelling Multiple Influences Diffusion in On-line Social Networks. AAMAS 2018: 1053-1061 - 2017
- [c6]Weihua Li, Quan Bai, Tung Doan Nguyen, Minjie Zhang:
Agent-based Influence Maintenance in Social Networks. AAMAS 2017: 1592-1594 - 2016
- [c5]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 - [c4]Weihua Li, Quan Bai, Minjie Zhang:
Comprehensive Influence Propagation Modelling for Hybrid Social Network. Australasian Conference on Artificial Intelligence 2016: 597-608 - [c3]Weihua Li, Quan Bai, Minjie Zhang:
Agent-Based Influence Propagation in Social Networks. ICA 2016: 51-56 - [c2]Weihua Li, Quan Bai, Chang Jiang, Minjie Zhang:
Stigmergy-Based Influence Maximization in Social Networks. PRICAI 2016: 750-762 - [c1]Tung Doan Nguyen, Quan Bai, Weihua Li:
Capability-Aware Trust Evaluation Model in Multi-agent Systems. PRICAI 2016: 771-778
Editorship
- 2023
- [e1]Rafik Hadfi, Weihua Li, Takayuki Ito:
IEEE International Conference on Agents, ICA 2023, Kyoto, Japan, December 4-6, 2023. IEEE 2023, ISBN 979-8-3503-1278-2 [contents]
Informal and Other Publications
- 2024
- [i15]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) - [i14]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) - [i13]Jianhua Jiang, Ziying Zhao, Weihua Li, Keqin Li:
An Enhanced Grey Wolf Optimizer with Elite Inheritance and Balance Search Mechanisms. CoRR abs/2404.06524 (2024) - 2023
- [i12]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) - [i11]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) - [i10]Guan Wang, Weihua Li, Edmund M.-K. Lai, Quan Bai:
AaKOS: Aspect-adaptive Knowledge-based Opinion Summarization. CoRR abs/2306.05537 (2023) - [i9]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
- [i8]Shiqing Wu, Weihua Li, Quan Bai:
GAC: A Deep Reinforcement Learning Model Toward User Incentivization in Unknown Social Networks. CoRR abs/2203.09578 (2022) - [i7]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) - [i6]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) - [i5]Guan Wang, Weihua Li, Edmund M.-K. Lai, Jianhua Jiang:
KATSum: Knowledge-aware Abstractive Text Summarization. CoRR abs/2212.03371 (2022) - 2021
- [i4]Jiaqi Wu, Weihua Li, Quan Bai, Takayuki Ito, Ahmed Moustafa:
Privacy Information Classification: A Hybrid Approach. CoRR abs/2101.11574 (2021) - [i3]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) - [i2]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) - [i1]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)
Coauthor Index
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