Portrait of Jialuo Du

Jialuo Du

On the 2027 academic job marketSeeking tenure-track faculty positions · View CV

Research Associate · Department of Computer Science and Engineering · Michigan State University

I am a Research Associate in the Department of Computer Science and Engineering at Michigan State University, advised by Dr. Zhichao Cao.

I earned my Ph.D. in Software Engineering from Tsinghua University in 2025, where I was advised by Professor Yunhao Liu. I also received my Bachelor of Engineering in Computer Science and Technology from Tsinghua University in 2020.

My research focuses on the intersection of the Internet of Things and Artificial Intelligence. I build physics-informed intelligent signal processing for low-power wide-area networks: receivers that model what is known about the signal and use compact learning only for what cannot be modeled, so that weak and distorted LoRa signals can be recovered on commodity devices.

Publications

Highlights

2026

Self-Supervised Doppler-Guided RF Odometry

Kunzhe Song, Jialuo Du, Jingkai Lin, Huacheng Zeng

NeurIPS 2026Accepted · PosterConference on Neural Information Processing Systems

RFWalk learns robot motion from RF measurements alone, without pose labels or auxiliary sensors. Temporal cycle consistency learns correspondences, while Doppler measurements constrain them to physically plausible motion. Robust registration suppresses uncertain matches and moving objects; the method reduces absolute trajectory error by 58% in dynamic scenes with moving pedestrians.

Kairos system overview: gateway decides when to calibrate, node decides how

Kairos: Soil-Aware Transmission Control For Long-Term Agricultural Cross-Soil LoRa

Jingkai Lin, Yidong Ren, Jialuo Du, Yimeng Liu, Yawen Wang, Younsuk Dong, Tianxing Li, Zhichao Cao

ICNP 2026IEEE International Conference on Network Protocols

LoRa antennas buried in farmland drift out of polarization alignment as soil moisture changes. Kairos predicts when recalibrating will actually save energy and then finds a good polarization state with few probes, cutting energy use by up to 3.71× in a real agricultural field.

Scaling LoRa to Massive IoT: A Physical Layer Approach

Jialuo Du

MobiSys 2026 Rising StarsACM MobiSys 2026 Rising Stars Forum

A research agenda for taking LoRa from today's deployments to billions of devices by removing its physical-layer bottlenecks: decoding weak signals at a single gateway, letting multiple gateways decode cooperatively, and overcoming collisions and environmental attenuation.

Overview of AURA: driving telemetry, multi-scale learning, context fusion and actionable intelligence

AIoT-based Continuous, Contextualized, and Explainable Driving Assessment for Older Adults

Yimeng Liu, Fangwei Zhang, Maolin Gan, Jialuo Du, Jingkai Lin, Yawen Wang, Fei Sun, Honglei Chen, Linda Hill, Ruofeng Liu, Tianxing Li, Zhichao Cao

arXiv 2026arXiv:2603.00691

AURA is a vision for assessing older adults' driving safety continuously from everyday trips rather than occasional clinic visits. It combines in-vehicle sensing, multi-scale behavior modeling and context-aware analysis on a privacy-preserving edge architecture.

2025

LoRaSeek denoising stages: noisy input spectrogram, global features, decoder output, denoised chirp

LoRaSeek: Boosting Denoising Ability in Neural-enhanced LoRa Decoder via Hierarchical Feature Extraction

Khang Nguyen, Yidong Ren, Jialuo Du, Jingkai Lin, Maolin Gan, Shigang Chen, Mi Zhang, Chunyi Peng, Zhichao Cao

MobiCom 2025ACM International Conference on Mobile Computing and Networking

A lightweight denoiser for neural LoRa decoding that combines CNNs, a compact Transformer and a hierarchical U-Net. It gains up to 3.03 dB over prior neural decoders while cutting model storage by up to 7.4×.

2024

Schematic: a buried node with a fixed antenna loses polarization alignment with the gateway; Demeter's programmable antenna re-aligns it

Demeter: Reliable Cross-soil LPWAN with Low-cost Signal Polarization Alignment

Yidong Ren, Wei Sun, Jialuo Du, Huaili Zeng, Younsuk Dong, Mi Zhang, Shigang Chen, Yunhao Liu, Tianxing Li, Zhichao Cao

MobiCom 2024ACM International Conference on Mobile Computing and Networking

A low-cost, low-power programmable antenna that realigns signal polarization on single-RF-chain COTS LoRa radios, keeping links from sensors buried in soil reliable as soil conditions change.

2023

Schematic: backscatter tags convert a COTS linear chirp into different non-linear chirps that share one channel

Prism: High-throughput LoRa Backscatter with Non-linear Chirps

Yidong Ren, Puyu Cai, Jinyan Jiang, Jialuo Du, Zhichao Cao

INFOCOM 2023IEEE International Conference on Computer Communications

Backscatter tags convert the linear chirps of ordinary COTS LoRa nodes into different non-linear chirps with a lightweight, low-power frequency-shift design, so many tags can transmit concurrently in the same channel.