(* denotes equal contribution or co-first authorship, AR denotes acceptance rate)

[TOSN 2025] Tian Liu, Liuyi Jin, Radu Stoleru, Amran Haroon, Charles Swanson, Kexin Feng, "Robust Rainfall Estimation with Multimodal Sensing for Precision Residential Irrigation," (invited journal extension of BuildSys 2024 paper), ACM Transactions on Sensor Networks (TOSN), 2025 [paper]

[SEC 2024] Amran Haroon, Liuyi Jin, Radu Stoleru, Maxwell Maurice, Roger Blalock, "EdgeCore: Resource Dependency-Aware Multi-Tenant Orchestration for Mobile Edge Clouds," The 9th ACM/IEEE Symposium on Edge Computing (SEC), 2024, AR: 25/76 ≈ 32.9% [paper, slides]

[BuildSys 2024] Tian Liu, Liuyi Jin, Radu Stoleru, Amran Haroon, Charles Swanson, Kexin Feng, "ERIC: Estimating Rainfall with Commodity Doorbell Camera for Precision Residential Irrigation," The 11th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys), 2024, AR: 28/89 ≈ 31.5% [paper, slides, talk] [Media: TAMU CSE] 🏆Best Paper Award (1/89 submissions ≈ 1.1%) 

[TCPS 2024] Mohammad Sagor, Amran Haroon, Radu Stoleru, Suman Bhunia, Ala Altaweel, Mengyuan Chao, Liuyi Jin, Maxwell Maurice, Roger Blalock, "DistressNet-NG: A Resilient Data Storage and Sharing Framework for Mobile Edge Computing in Cyber-Physical Systems," ACM Transactions on Cyber-Physical Systems (TCPS), 2024 [paper, code]

[SIGCOMM 5G-MeMU 2023] Matan Broner, Sangwoo Lee, Liuyi Jin, Radu Stoleru, "5G-MANTRA: Multi-Access Network Testbed for Research on ATSSS," The 3rd ACM SIGCOMM Workshop on 5G and Beyond Network Measurements, Modeling, and Use Cases  (SIGCOMM 5G-MeMU), 2023 [paper, slides, code-part1, code-part2]

[MobiSys 2023] Liuyi Jin, Tian Liu, Amran Haroon, Radu Stoleru, Michael Middleton, Ziwei Zhu, Theodora Chaspari, "EMSAssist: An End-to-End Mobile Voice Assistant at the Edge for Emergency Medical Services," The 21st ACM International Conference on Mobile Systems, Applications, and Services (MobiSys), 2023, AR: 41/198 ≈ 20.7% [paper, code, slides, talk, teaser] [Media: nxrte]

[MobiSys 2023] Matan Broner*, Sangwoo Lee*, Liuyi Jin, Radu Stoleru, "Poster: Towards Multi-Radio Access in 5G Networks," The 21st IEEE International Conference on Mobile Systems, Applications and Services (MobiSys), 2023 [paper]

[MobiSys 2023] Liuyi Jin, Tian Liu, Amran Haroon, Radu Stoleru, Michael Middleton, Ziwei Zhu, Theodora Chaspari, "Demo: EMSAssist -- An End-to-End Mobile Voice Assistant at the Edge for Emergency Medical Services," The 21st IEEE International Conference on Mobile Systems, Applications and Services (MobiSys), 2023 [paper, demo]

[APSys 2022] Siwei Cui*, Liuyi Jin*, Khanh Nguyen, Chenxi Wang, "SemSwap: Semantics-aware Swapping in Memory Disaggregated Datacenters," The 13th ACM SIGOPS Asia-Pacific Workshop on Systems (APSys), 2022 [paper, slides, talk]

[CPS-ER 2022] Amran Haroon, Mohammad Sagor, Maxwell Maurice, Liuyi Jin, Radu Stoleru, Roger Blalock, "On Edge Coordination in Highly Dynamic Cyber-Physical Systems for Emergency Response," The 1st Workshop on Cyber Physical Systems for Emergency Response (collocated with CPS-IoT week), 2022 [paper, slides]

[SEC 2020] Mengyuan Chao, Radu Stoleru, Liuyi Jin, Shuochao Yao, Maxwell Maurice, Roger Blalock, "AMVP: Adaptive CNN-based Multitask Video Processing on Mobile Stream  Processing Platforms," The 5th ACM/IEEE Symposium on Edge Computing (SEC), 2020, AR: 21/96 ≈ 21.9% [paper, code]

[NanoCom 2020] Liuyi Jin, Zhipei Yan, Lihua Zuo, Radu Stoleru, "NanoCommunication-based Flow Path Mapping for NanoSensors in Underground Oil Reservoirs," The 7th ACM International Conference on Nanoscale Computing and Communication (NanoCom), 2020 [paper, talk]

[NanoCom 2019] Liuyi Jin, Lihua Zuo, Zhipei Yan, Radu Stoleru, "NanoCommunication-based Impermeable Region Mapping for Oil Reservoir Exploration," The 6th ACM International Conference on Nanoscale Computing and Communication (NanoCom), 2019 [paper, slides]

[Master Thesis 2018] Liuyi Jin, "Machine Learning Aided Production Data Analysis for Estimated Ultimate Recovery Forecasting," Master thesis, Texas A&M University (2018) Available electronically from https://hdl.handle.net/1969.1/173568 [thesis, slides]

[URTech 2017] Peng Zhou, Huiyan Sang, Liuyi Jin, John Lee, "Application of Statistical Methods to Predict Production From Liquid-Rich Shale Reservoirs," SPE/AAPG/SEG Unconventional Resources Technology Conference, Austin, Texas, USA, July 2017, DOI: https://doi.org/10.15530/URTEC-2017-2694668 [paper]

[Spectroscopy Letters 2015] Xuyao Qi, Deming Wang, Haibo Xue, Liuyi Jin, Baohua Su, Haihui Xin, "Oxidation and Self-Reaction of Carboxyl Groups During Coal Spontaneous Combustion," Spectroscopy Letters (2015), 48:3, 173-178, DOI: 10.1080/00387010.2013.868360 [paper]

[Research Journal of Chemistry and Environment 2013] Xuyao Qi, Deming Wang, Baohua Su, Haibo Xue, Liuyi Jin, Haihui Xin, Xiaoxing Zhong, "Distribution of Functional Groups in Anthracite Coal and Their Real-time Changes during Low-Temperature Oxidation," Research Journal of Chemistry and Environment 17 (2013), 104-112