In large-scale networked systems such as online marketplaces and advertising exchanges, real-time decision-making under dynamic environments is a fundamental challenge. A widely adopted paradigm is the predict-then-optimize workflow, where the prediction stage estimates key factors for decisions, and the optimization s...
Qi-Long Lin, Zhen-Zhe Zheng, Zi-Xiao Wang et al.· Proceedings of the Twenty-se...· 0 citations
This work calibrates the tractable one-period objective using an auxiliary memoryless discounted surrogate, and yields an Equimarginal Principle requiring efficient platforms to equalize the marginal retention efficiency of assignment and contracting.
Yu-Mou Liu, Zhen-Zhe Zheng, Jiang Rong et al.· ACM Interational Symposium o...· 0 citations
EStream introduces a hardware-aware configuration algorithm that automatically configures the UFS--NPU pipeline and maximizes loading--computation overlap and introduces a hardware-aware configuration algorithm that automatically configures the UFS--NPU pipeline and maximizes loading--computation overlap.
Jun-Ming Zhang, Zhen-Zhe Zheng, Fan Wu et al.· 0 citations
This work investigates the design of two-stage auctions that allow advertisers to submit and update their bids, with second-stage bids serving as refinements of the initial ones, and proposes a dynamic two-stage auction that adopts realization-dependent entry fees with discounts.
Yidan Xing, Rui Guo, Yi-Xin Tao et al.· Proceedings of the 32nd ACM...· 0 citations
This work proposes a series of optimizations for these two kernels, including computation-transfer pipelining, load balancing, and memory access fusion, achieving 1.97 × to 2.16 × proof generation speedup over a state-of-the-art open source GPU acceleration library.
Xinwei Qiang, Liukun Yu, Xiyu Wang et al.· IEEE International Symposium...· 0 citations
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