H
Ho-fung Leung
Researcher at The Chinese University of Hong Kong
Publications - 294
Citations - 4042
Ho-fung Leung is an academic researcher from The Chinese University of Hong Kong. The author has contributed to research in topics: Multi-agent system & Ontology (information science). The author has an hindex of 27, co-authored 293 publications receiving 3662 citations. Previous affiliations of Ho-fung Leung include Imperial College London & Hong Kong University of Science and Technology.
Papers
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Journal ArticleDOI
On agent-mediated electronic commerce
TL;DR: The roles of agents in B2C and B2B e-commerce are identified through the business-to-business transaction model that identifies agents as being employed in partnership formation, brokering, and negotiation.
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A fuzzy constraint based model for bilateral, multi-issue negotiations in semi-competitive environments
TL;DR: This paper develops a fuzzy constraint based model for bilateral multi-issue negotiation in trading environments in which agents seek to strike a fair deal for both parties, but which, nevertheless, maximises their own payoff.
Journal ArticleDOI
Typicality-Based Collaborative Filtering Recommendation
TL;DR: TyCo outperforms many CF recommendation methods on recommendation accuracy (in terms of MAE) with an improvement of at least 6.35 percent in Movielens data set, especially with sparse training data and has lower time cost than other CF methods.
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A fuzzy-logic based bidding strategy for autonomous agents in continuous double auctions
TL;DR: This paper develops new algorithms that buyer and seller agents can use to participate in continuous double auctions and shows how an agent can dynamically adjust its bidding behavior to respond effectively to changes in the supply and demand in the marketplace.
Proceedings ArticleDOI
A Boundary-aware Neural Model for Nested Named Entity Recognition
TL;DR: This work proposes a boundary-aware neural model for nested NER which leverages entity boundaries to predict entity categorical labels, which can decrease computation cost and relieve error propagation problem in layered sequence labeling model.