6 papers
Auction Design with ROI-Constrained Bidders: Truthfulness and Revenue Maximization
Zhiqiang Zhuang, Quan Yu, Yisong Wang +2
The return-on-investment (ROI) constraint is central to many auctions, particularly in online advertising, where a bidder is unwilling to pay more than a fixed fraction of the valu…
Bridging the Gap Between Estimated and True Regret Towards Reliable Regret Estimation in Deep Learning based Mechanism Design
Shuyuan You, Zhiqiang Zhuang, Kewen Wang +1
Recent advances, such as RegretNet, ALGnet, RegretFormer and CITransNet, use deep learning to approximate optimal multi item auctions by relaxing incentive compatibility (IC) and m…
Maximising the Influence of Temporary Participants in Opinion Formation
Zhiqiang Zhuang, Kewen Wang, Zhe Wang +2
DeGroot-style opinion formation presumes a continuous interaction among agents of a social network. Hence, it cannot handle agents external to the social network that interact only…
Learning Disentangled Semantic Representations for Zero-Shot Cross-Lingual Transfer in Multilingual Machine Reading Comprehension
Linjuan Wu, Shaojuan Wu, Xiaowang Zhang +4
Multilingual pre-trained models are able to zero-shot transfer knowledge from rich-resource to low-resource languages in machine reading comprehension (MRC). However, inherent ling…
Syntax-Preserving Belief Change Operators for Logic Programs
Sebastian Binnewies, Zhiqiang Zhuang, Kewen Wang +1
Recent methods have adapted the well-established AGM and belief base frameworks for belief change to cover belief revision in logic programs. In this study here, we present two new…
A New Approach for Revising Logic Programs
Zhiqiang Zhuang, James Delgrande, Abhaya Nayak +1
Belief revision has been studied mainly with respect to background logics that are monotonic in character. In this paper we study belief revision when the underlying logic is non-m…