Lin Zhang

Characterization of coherent power of concatenation of quantum channels

2015 · arXiv (Cornell University)

Quantum coherence, existing in quantum states, is a very important resource for design and implementation of quantum technologies. Quantum channels that can generate coherence is also an interesting topic and less known results about it. …

Average of uncertainty-product for observables

2016 · arXiv (Cornell University)

The goal of this paper is to calculate exactly the average of uncertainty-product of two bounded observables and to establish its typicality over the whole set of finite dimensional quantum pure states. Here we use …

An Integration Testing Platform for Software Vulnerability Detection Method

2017

Software vulnerability detecting is an important way of discovering the existing loopholes in software in order to ensure the information security. With the rapid development of the information technology in our society, a large variety …

A Blockchain Model for Industrial Internet

2018

Blockchain is one type of distributed ledger technology, which comes from Bitcoin, a peer to peer electronic cash system. Its characteristics like decentralization and immutability make it possible to resolve data barrier and security problems …

Exploiting Self-Similarity for Under-Determined MIMO Modulation Recognition

2020

Modulation recognition (modrec) is an essential functional component of future wireless networks with critical applications in dynamic spectrum access. While predominantly studied in single-input single-output (SISO) systems, practical modrec for multiple-input multiple-output (MIMO) communications requires …

A study of Right-wing Koreans-themed novel 〈The Cliff of the Japan sea〉 in the 1930s

2020 · Journal of Chinese Literature

1930년대 민족주의 문예운동에 참여한 우익 작가들은 비록 최초로 한인 소재 작품을 창작한 작가군이었지만, 중국 현대문학 한인 제재 작품 연구에서 관심을 받지 못했다. 왜냐하면 정치이데올로기의 영향으로 우익문학이 오랜 동안 비판받았기 때문이다. 이 논문의 연구 대상 <日本海之絶崖>는 …

Improving Your Graph Neural Networks: A High-Frequency Booster

2022 · arXiv (Cornell University)

Graph neural networks (GNNs) hold the promise of learning efficient representations of graph-structured data, and one of its most important applications is semi-supervised node classification. However, in this application, GNN frameworks tend to fail due …

MVP-Tuning: Multi-View Knowledge Retrieval with Prompt Tuning for Commonsense Reasoning

2023

Yongfeng Huang, Yanyang Li, Yichong Xu, Lin Zhang, Ruyi Gan, Jiaxing Zhang, Liwei Wang. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2023.

Progression Cognition Reinforcement Learning With Prioritized Experience for Multi-Vehicle Pursuit

2024 · IEEE Transactions on Intelligent Transportation Systems

Multi-vehicle pursuit (MVP) such as autonomous police vehicles pursuing suspects is important but very challenging due to its mission and safety-critical nature. While multi-agent reinforcement learning (MARL) algorithms have been proposed for MVP in structured …

Realization of a functioning dual-type trapped-ion quantum network node

2025 · Science Advances

Trapped ions constitute a promising platform for implementation of a quantum network. Recently, a dual-type qubit scheme has been realized in a quantum network node where communication qubits and memory qubits are encoded in different …

Multistate imaginarity and coherence in qubit systems

2026 · Physical Review A

Traditionally, the characterization of quantum resources has focused on individual quantum states. Recent literature, however, has increasingly explored the characterization of resources in states—ordered collections of states indexed by a varying parameter. In this work, …

Optimization of Ethereum transaction and block delivery performance

2022 · Research@THEA

Blockchain is a type of distributed ledger. It is a chain of blocks. Each block contains a series of transactions. Each transaction is for a value transfer or a smart contract execution. The main purpose …