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Langtian Qin

PhD Student in Computer Science (CS)
University of California, Irvine
[email protected] / [email protected]


Short Bio

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I am a first-year second-year Computer Science PhD student at UC Irvine (UCI), work with Prof. Marco Levorato and Prof. Carla Fabiana Chiasserini. I obtained my M.S. in Electrical Engineering at University of Science and Technology of China (USTC) in 2024, advised by Prof. Hancheng Lu and Prof. Feng Wu. I was a graduate visiting student at UC San Diego (UCSD), hosted by Prof. Xinyu Zhang in 2023. Prior to this, I received my B.E. in Information Engineering from Xidian University (XDU) in 2021.

My research interests lie in the intersection of Machine Learning (ML) and Wireless Systems. Specifically, I (a) design ML-based algorithms or modules for wireless communication and networking systems (ML for resource allocation, channel estimation, etc.)—and (b) build communication and computing pipelines to enable efficient and reliable ML model training and inference (split computing, edge computing, etc.).

News

  • [Dec. 2025] One paper about Semantic RAN Slicing is accepted by IEEE International Conference on Computer Communications (INFOCOM'26). The acceacptance rate is 329/1740 ≈ 18.9%.
  • [Jun. 2025] One paper about URLLC is accepted by IEEE Transactions on Wireless Communications (TWC).
  • [Mar. 2025] One paper about Distributed Sensor Fusion is accepted by 45th IEEE International Conference on Distributed Computing Systems (ICDCS'25). The acceacptance rate is 104/529 ≈ 19.6%.
  • [Mar. 2025] My master's thesis at USTC is awarded the Outstanding Master's Thesis (Thesis Incentive Program) by the Chinese Institute of Electronics.
  • [Feb. 2025] One paper about VR Video Streaming is accepted by IEEE Transactions on Wireless Communications (TWC).
  • [Aug. 2024] One paper about Cell-Free MIMO is accepted by IEEE Transactions on Communications (TCOM).
  • [Jun. 2024] I have graduated from USTC! I am awarded the outstanding graduate of USTC and the outstanding graduate of Anhui Province.
  • [May 2024] One paper about Cell-Free MIMO is accepted by IEEE Transactions on Wireless Communications (TWC).
  • [May 2024] One paper about User-Centric Mobile Edge Computing is accepted by IEEE Transactions on Mobile Computing (TMC).
  • [Mar. 2024] One paper about User-Centric Mobile Edge Computing is accepted by IEEE Transactions on Cognitive Communications and Networking (TCCN).
  • [Feb. 2024] One paper about Cross-Layer Optimization in URLLC is accepted by IEEE Transactions on Communications (TCOM).
  • [Jan. 2024] One paper about URLLC is accepted by IEEE Transactions on Wireless Communications (TWC).
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Selected Publications

  1. TMC
    Towards Decentralized Task Offloading and Resource Allocation in User-Centric MEC
    Langtian Qin, Hancheng Lu, Yuang Chen, Baolin Chong, Feng Wu
    IEEE Transactions on Mobile Computing, vol. 23, no. 12, pp. 11807-11823, Dec. 2024
    PDF Code

  2. TCCN
    Energy-Efficient Blockchain-enabled User-Centric Mobile Edge Computing
    Langtian Qin, Hancheng Lu, Yuang Chen, Zhuojia Gu, Dan Zhao, Feng Wu
    IEEE Transactions on Cognitive Communications and Networking, vol. 10, no. 4, pp. 1452-1466, Aug. 2024.
    PDF Code

  3. TMC
    Joint Optimization of Base Station Clustering and Service Caching in User-Centric MEC
    Langtian Qin, Hancheng Lu, Yao Lu, Chenwu Zhang, Feng Wu
    IEEE Transactions on Mobile Computing, vol. 23, no. 5, pp. 6455-6469, May 2024.
    PDF Code

  4. ComMag
    When the User-Centric Network Meets Mobile Edge Computing: Challenges and Optimization
    Langtian Qin, Hancheng Lu, Feng Wu
    IEEE Communications Magazine, vol. 61, no. 1, pp. 114-120, Jan. 2023.
    PDF Code

  5. TWC
    Streaming 360-degree VR Video with Statistical QoS Provisioning in mmWave Networks from Delay and Rate Perspectives
    Yuang Chen, Hancheng Lu, Langtian Qin, Chang Wu, Chang Wen Chen
    IEEE Transactions on Wireless Communications, 2025.
    PDF

  6. TCOM
    On the Distribution of SINR for Cell-Free Massive MIMO Systems
    Baolin Chong, Fengqian Guo, Hancheng Lu, Langtian Qin
    IEEE Transactions on Communications, vol. 73, no. 2, pp. 832-845, Feb. 2025.
    PDF

  7. TWC
    Performance Optimization on Cell-Free Massive MIMO-Aided URLLC Systems With User Grouping
    Baolin Chong, Hancheng Lu, Langtian Qin, Zhenyu Xue, Fengqian Guo
    IEEE Transactions on Wireless Communications, vol. 23, no. 10, pp. 13977-13992, Oct. 2024.
    PDF

Projects

  1. UCMEC
    Task Offloading and Resource Allocation in User-Centric Mobile Edge Computing (@USTC)
    To break through the transmission and computing capability bottleneck of cellular-based mobile edge computing (MEC), we propose a novel MEC framework called User-Centric MEC (UCMEC), which can provide users with efficient, reliable, low-cost user-centric wireless transmission and edge computing services. To further exploit the benefits of UCMEC, we propose various algorihms to optimize the task offloading and resource allocation strategies in UCMEC under different scenarios.

  2. Split
    Enable Wireless Split Computing via Dynamic Deep Neural Networks (@UCI)
    Traditional split computing frameworks rely on static deep neural networks (DNNs), which lack the flexibility to adapt to dynamic wireless conditions and varying task demands. We co-design dynamic DNN models, communication pipelines, and system resource orchestration strategies to enable flexible and reliable edge inference that balances inference performance and communication/computation overhead.

  3. mmWave
    Bridging the Sim-to-real Gap in AI-Driven Networks Using Hybrid Simulation (@UCSD)
    To overcome the simulation-to-reality gap, we use deep reinforcement learning-based models to configure the network simulator, letting the simulator accurately reflect the performance trace of the mmWave network testbed. Based on the enhanced simulator, we aim to explore hybrid simulation to enable efficient network control like interference management, base station association, routing, etc.

  4. URLLC
    Statistical QoS Provisioning Analysis and Optimization in xURLLC (@USTC)
    We investigate the fundamentals and performance tradeoffs of the neXt-generation ultra-reliable and lowlatency communication (xURLLC) from the perspective of stochastic network calculus (SNC). By leveraging and promoting SNC, we provide a quantitative statistical quality of service (QoS) provisioning analysis and derive the closed-form expression of some critical performance metrics in xURLLC networks. Based on the proposed theoretical framework, we design several low-complexity algorithms to optimize the xURLLC network performance metrics like energy efficiency, delay violation probability, etc.

Awards

  • Outstanding Master's Thesis of Chinese Institute of Electronics, 2025
  • Outstanding graduate of Anhui Province, 2024
  • Outstanding graduate of USTC, 2024
  • National Scholarship, 2023
  • First Class Scholarship of USTC, 2021, 2022
  • Outstanding graduate of XDU, 2021
  • National Scholarship, 2020
  • Meritorious Winner of The Interdisciplinary Contest in Modeling (ICM), 2020
  • National Scholarship, 2019
  • Provincial Second Prize in National Mathematical Modeling Contest, 2019
  • Provincial Second Prize in Chinese Mathematics Competition, 2019

Teaching

Teaching Assistant

  • ICS 132/232 Computer Networks, 2025 Winter, 2025 Fall, 2026 Winter, UC Irvine
  • ICS 45C Programming in C/C++, 2025 Spring, UC Irvine

Services

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