I am currently Ph.D student of Computer Science at North Carolina State University, where I am fortunately advised by Prof. Jianqing Liu. Prior to that, I got my M.S. and B.S. degree in Computer Science and Technology at Nanjing Tech University, advised by Xili Wan.

💗 Research Interests

  • Quantum Communications and Networks
  • Graph Neural Networks
  • AI for Science

🔥 News

📝 Publications

Progress in Quantum Electronics
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The road to quantum internet: Progress in quantum network testbeds and major demonstrations

Jianqing Liu, Thinh Le, Tingxiang Ji, Ruozhou Yu, Demitry Farfurnik, Greg Bryd, Daniel Lidar

Progress in Quantum Electronics (PQE), 2024

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Preprint 2024
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Distributing Arbitrary Quantum Cluster States by Graph Transformation.

Tingxiang Ji, Jianqing Liu, Zheshen Zhang

Preprint, 2024

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ISVLSI 2024
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Low-power and Computing-free Privacy Design for IoT Systems

Hui Sun, Kyle Mooney, Mario Renteria-Pinon, Tingxiang Ji, Hritom Das, Na Gong, Jianqing Liu

IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 2024

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IEEE ToC 2023
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Towards optimal application offloading in heterogeneous edge-cloud computing

Tingxiang Ji, Xili Wan, Xinjie Guan, Aichun Zhu, Feng Ye

IEEE Transactions on Computers, 2023

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IEEE TVT 2023
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Optimal DNN Inference Delay Minimization for Chain-Structured Roadside Edge Networks

Xili Wan, Tingxiang Ji, Xinjie Guan, Aichun Zhu, Feng Ye

IEEE Transactions on Vehicular Technology, 2023

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JNCA 2023
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PGTCN: A novel password-guessing model based on temporal convolution network

Yaping Wu, Xili Wan, Xinjie Guan, Tingxiang Ji, Feng Ye

Journal of Network and Computer Applications, 2023

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ISC2 2021
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Maximal Network Lifetime Scheduling Algorithms for Roadside Sensor Networks

Xili Wan, Tingxiang Ji, Xinjie Guan, Feng Ye, Yifeng Li

IEEE International Smart Cities Conference (ISC2), 2021

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IEEE Communications Letters 2021
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Optimal task assignment for integrated cloud and edge networks with tree topology

Xinjie Guan, Tingxiang Ji, Xili Wan, Yifeng Li, Feng Ye

IEEE Communications Letters, 2021

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IEEE Access 2019
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Deep temporal convolutional networks for short-term traffic flow forecasting

Wentian Zhao, Yanyun Gao, Tingxiang Ji, Xili Wan, Feng Ye, Guangwei Bai

IEEE Access, 2019

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📖 Educations

  • NCSU Logo 2023.06 - (now), PhD in Computer Science, North Carolina State University, Raleigh
  • AMSS Logo 2020.09 - 2023.06, MS in Computer Science and Technology, Nanjing Tech University, Nanjing
  • BNU Logo 2016.09 - 2020.06, BS in Computer Science and Technology, Nanjing Tech University, Nanjing