Lei Shi
11 papers in the PaperMetrix corpus
Papers by this author
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Probabilistic controlled remote state preparation of an arbitrary two-qubit state via partially entangled states with multi parties
2017 · International Journal of Quantum Information
We propose a novel and efficient scheme for probabilistic controlled remote state preparation of an arbitrary two-qubit quantum state with the aid of the introduction of auxiliary particles and some appropriate local unitary operations. In …
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Quantum controlled teleportation when only the sender knows the partially entangled state
2018 · Fourth Seminar on Novel Optoelectronic Detection Technology and Application
In this paper, a new proposal was presented to probabilistically transmit an unknown quantum state from a sender to a remote receiver with the aid of a controller when the non-maximally entangled state is only …
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“Möbius” microring resonator
2019 · Applied Physics Letters
A category of optical microring resonator, which is analogous to the Möbius strip, is proposed. The “Möbius” microring resonator allows the conversion between modes with different polarizations in the ring, and light must circulate two …
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Airdrops and Privacy: A Case Study in Cross-Blockchain Analysis
2018 · arXiv (Cornell University)
Airdrops are a popular method of distributing cryptocurrencies and tokens. While often considered risk-free from the point of view of recipients, their impact on privacy is easily overlooked. We examine the Clam airdrop of 2014, …
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A Double-Variational Bayesian Framework in Random Fourier Features for Indefinite Kernels
2019 · IEEE Transactions on Neural Networks and Learning Systems
Random Fourier features (RFFs) have been successfully employed to kernel approximation in large-scale situations. The rationale behind RFF relies on Bochner's theorem, but the condition is too strict and excludes many widely used kernels, e.g., …
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Algorithmic Translation Correction Mechanisms: An End-to-end Algorithmic Implementation of English-Chinese Machine Translation
2023 · ICST Transactions on Scalable Information Systems
INTRODUCTION: Machine translation is a modern natural language processing research field with important scientific and practical significance. In practice, the variation of languages, the limitation of semantic knowledge, and the lack of parallel language resources …
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An Exploration of Sales Policy Management Models in the Era of the Internet of Things (IoT)
2023 · Information Systems and Economics
The eruption of the Internet of Things (IoT) heralds a transformative era in sales policy management, intertwining technological innovation with strategic adaptation. This review elucidates the trajectory of sales policies amidst the burgeoning IoT era, …
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Neural Reasoning About Agents' Goals, Preferences, and Actions
2023 · arXiv (Cornell University)
We propose the Intuitive Reasoning Network (IRENE) - a novel neural model for intuitive psychological reasoning about agents' goals, preferences, and actions that can generalise previous experiences to new situations. IRENE combines a graph neural …
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Brittle Minds, Fixable Activations: Understanding Belief Representations in Language Models
2024 · arXiv (Cornell University)
Despite growing interest in Theory of Mind (ToM) tasks for evaluating language models (LMs), little is known about how LMs internally represent mental states of self and others. Understanding these internal mechanisms is critical - …
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Action Control and Decision Analysis Based on Reinforcement Learning
2024
Motion control and decision analysis play an important role in intelligent robot technology, but there is the problem of inaccurate analysis and positioning. Traditional genetic algorithms cannot solve the problem of control positioning in intelligent …
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ICAI-SR: Item Categorical Attribute Integrated Sequential Recommendation
2021
Sequential recommendation (SR) has attracted much research attention in the past few years. Most existing attribute integrated SR models do not directly model the complex relations between items and categorical attributes, as well do not …