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TC

Tingjun Chen

Assistant Professor

Duke University · United States
Wireless networkingnext-generation wireless and optical networksedge cloud and computingmobile and embedded systemsplatforms and testbeds

Education

  • B.S. Tsinghua University (China), 2014
  • M.S. Columbia University, 2018
  • Ph.D. Columbia University, 2020
  • Postdoc, Yale University 2020 - 2021 (2020 - 2021) Yale University

Selected publications

  • Li Y, Cheng Y, Ma M, Zou Y, Yang N, Cheng W, et al. Skilled AI Agents for Embedded and IoT Systems Development. In: Proceedings of the ACM Conference on AI and Agentic Systems Cais 2026. 2026. p. 1248u201352.
  • Wang Y, Ye H, Xu Y, Guo C, Wei C, Wang Q, et al. MARS: Efficient, Adaptive Co-Scheduling for Heterogeneous Agentic Systems. 2026.
  • Zheng J, Tung C-H, Yao Y, Mehrotra N, Mattu S, Qi Z, et al. Real-Time and Scalable Zak-OTFS Receiver Processing on GPUs. 2026.
  • Tung C-H, Qi Z, Chen T. RISE: Real-time Image Processing for Spectral Energy Detection and Localization. 2026.
  • Li Y, Cheng Y, Ma M, Zou Y, Yang N, Cheng W, et al. Skilled AI Agents for Embedded and IoT Systems Development. 2026.
  • Qi Z, Yao Y, Li Y, Tung CH, Zheng J, Zhuo D, et al. DecodeX: Exploring and Benchmarking of LDPC Decoding Across CPU, GPU, and ASIC Platforms. In: Hotmobile 2026 Proceedings of the 2026 ACM 27th International Workshop on Mobile Computing Systems and Applications. 2026. p. 127u201332.
  • Gao Z, Vadlamani SK, Sulimany K, Englund D, Chen T. Disaggregated machine learning via in-physics computing at radio frequency. Science advances. 2026 Jan;12(2):eadz0817.
  • Wang Z, Du2019Amico A, Borraccini G, Raj A, Huang YK, Han S, et al. Scalable ML models and cascaded learning for efficient multi-span OSNR and GSNR prediction. Journal of Optical Communications and Networking. 2026 Jan 1;18(1):A88u201399.
  • Qi Z, Yao Y, Li Y, Tung C-H, Zheng J, Zhuo D, et al. DecodeX: Exploring and Benchmarking of LDPC Decoding across CPU, GPU, and ASIC Platforms. 2025.
  • Yang N, Lyu G, Ma M, Lu Y, Li Y, Gao Z, et al. IoT-MCP: Bridging LLMs and IoT Systems Through Model Context Protocol. In: Wintech 2026 Proceedings of the 2025 ACM Workshop on Wireless Network Testbeds Experimental Evaluation and Characterization. 2025. p. 73u201380.

Data verified 9/6/2026Source

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