Aitian Ma (马艾田)

🎯 About Me

I am a Ph.D. candidate at Florida International University, advised by Dr. Mo Sha. My research focuses on making wireless sensing and communication systems more reliable, efficient, and intelligent through AIoT and edge learning. My AI-related work is co-advised by Dr. Dongsheng Luo.

Before joining FIU, I earned my M.S. from Beijing University of Technology and worked as a System Administrator & Instructor at the Chinese Academy of Sciences (2013–2021).

📰 News

📚 Publications

🎓 Conference Papers

📝 Under Review

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🔬	🔷 LLM-Based Noise-Aware Domain Adaptation Agent for Industrial Wireless Mesh Network Configuration Aitian Ma, Mo Sha 📅 Under Review
🤖	🔷 Zero-shot Industrial Wireless Mesh Network Configuration via Dual-Mind LLMs Aitian Ma, Dongsheng Luo, Ali Maatouk (Yale), Rex Ying (Yale), Mo Sha 📅 Under Review
	🔷 MixLinear: Extreme Low Resource Multivariate Time Series Forecasting with 0.1 K Parameters Aitian Ma, Dongsheng Luo, Mo Sha 📅 Under Review

✅ Published

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	🔷 MMFNet: Multi-Scale Frequency Masking Neural Network for Multivariate Time Series Forecasting Aitian Ma, Dongsheng Luo, Mo Sha 📅 Proceedings of the 41st ACM/SIGAPP Symposium on Applied Computing (SAC'26) 📊 Acceptance Ratio: 26/104 = 25% 📄 Paper
	🔷 LLM-Driven Diagnosis and Adaptive Policy Optimization for Reducing Packet Error Rate in LoRaWAN Networks Dongyi Ma (UCL), Aitian Ma (co-first author), Sirui Luo (UCL), Martin de Jode (UCL), Andrew Hudson-Smith (UCL), Mo Sha 📅 IEEE ICMLA, Special Session on Deep Learning and Applications, December 2025 📊 Acceptance Rate: 16.6% (15/90) 📄 Paper
	🔷 Sensorless Air Temperature Sensing Using LoRa Link Characteristics Aitian Ma, Jean Tonday Rodriguez, Mo Sha, Dongsheng Luo 📅 IEEE DCOSS-IoT, June 2025 📊 Acceptance Rate: 23.6% (26/110) 🏆 Best Paper Award Nominee 📄 IEEE Xplore 📄 Paper
	🔷 A LoRa-Based Energy-Harvesting Sensing System for Living Environment Aitian Ma, Jean Tonday Rodriguez, Mo Sha 📅 IEEE MetroLivEnv, June 2025 📄 IEEE Xplore 📄 Paper
	🔷 WMN-CDA: Contrastive Domain Adaptation for Wireless Mesh Network Configuration Aitian Ma, Mo Sha 📅 Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing (SAC'25) 📊 Acceptance Rate: 23.8% (5/21) 📄 ACM SAC 📄 Paper
	🔷 Enabling Reliable Environmental Sensing with LoRa, Energy Harvesting, and Domain Adaptation Aitian Ma, Jean Tonday Rodriguez, Mo Sha 📅 IEEE ICCCN, July 2024 📊 Acceptance Rate: 29.9% (47/157) 📄 IEEE Xplore 📄 Paper
	🔷 Parametric Augmentation for Time Series Contrastive Learning Xu Zheng, Tianchun Wang, Wei Cheng, Aitian Ma, Haifeng Chen, Mo Sha, Dongsheng Luo 📅 ICLR, May 2024 📊 Acceptance Rate: 31.1% (2260/7262) 📄 OpenReview
	🔷 AutoTCL: Automated Time Series Contrastive Learning with Adaptive Augmentations Xu Zheng, Tianchun Wang, Wei Cheng, Aitian Ma, Haifeng Chen, Mo Sha, Dongsheng Luo 📅 AI4TS Workshop, August 2023 🏆 Best Paper Award

📖 Journal Papers

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	🔷 Adapting Wireless Network Configuration from Simulation to Reality via Deep Learning based Domain Adaptation Junyang Shi, Aitian Ma, Xia Cheng, Mo Sha, Xi Peng 📅 IEEE/ACM Transactions on Networking 📖 Vol. 32, Issue 3, pp. 1983–1998, June 2024 📄 IEEE Xplore

🏆 Awards & Honors

💼 Experience

🎓 Academic & Research

💻 Industry

👨‍🏫 Teaching & Mentoring

📚 Teaching Assistant — Florida International University

🎯 Research Mentoring

• REU Student Mentor (2022–2025) — Mentored 10+ undergraduate students
• Instructor — Chinese Academy of Sciences (2015–2019)
  Big Data Platform Workshop & Computer Networking Curriculum

🔧 Technical Skills

🤝 Professional Service

👥 Reviewer for Conferences

📖 Reviewer for Journals