Actively seeking faculty positions

Sijie Ji

Schmidt Science Fellow @ Caltech

I am currently working with Prof. Wei Gao in the Division of Engineering and Applied Science at Caltech. I also hold a joint appointment with UCLA, working with Prof. Mani Srivastava.

I obtained my Ph.D. from Nanyang Technological University in 2023, under the guidance of Prof. Mo Li.

Broadly interested in sensing, deep learning, ubiquitous computing, and their applications in digital healthcare, cyber-physical systems, and next-gen AIoT.

Email Me Google Scholar

AI + Health AI + Wireless Sensing + XEmbodied AI Human-Centric Cyber-Physical Systems

Latest News

[09/25] GSRF is accepted by NeurIPS 2025 as a spotlight (~3.19%). Congrats to Kang! See you in SD!
[07/25] Papers are accepted by TMC, ACM MM. Congrats to Xinzhe and Sheng!
[06/25] Invited to serve as TPC member of SenSys'26. Welcome to submit papers!
[05/25] LLM + Mental Health papers are accepted by SenSys (poster), ACL 2025. Congrats to the team!
[05/25] Invited to serve as TPC member of MobiCom Demo, MobiCom Poster and BodySys 2025.

[04/25] Invited to serve as a co-Chair for BuildSys'25.

[04/25] Papers accepted to ACM IMWUT / Ubicomp, IEEE Comm Mag, ICC. Congrats to Luca, Senthil and Man!

[02/25] Invited to serve as TPC member of EMSOFT, ESWeek'25.

[01/25] Give an invited seminar at UC Merced.

[01/25] NeurIT is accepted by ICRA 2025. Congrats to Xinzhe!

[04/24] Honored to join Schmidt Science Fellows 2024 cohort!

Selected Publications

* denotes co-first/corresponding author. ^ denotes mentored students.

SenSys 2023

Construct 3D Hand Skeleton with Commercial WiFi

Sijie Ji, Xuanye Zhang^, Yuanqing Zheng, Mo Li

PDF Code Project

SenSys 2022

SiFall: Practical Online Fall Detection with RF Sensing

Sijie Ji, Yaxiong Xie, Mo Li

PDF Video Slides

WCL 2021

CLNet: Complex Input Lightweight Neural Network for CSI Feedback

Sijie Ji, Mo Li

PDF Code

ICDCS 2024

MuSAC: Mutualistic Sensing and Communication for Mobile Crowdsensing

Sijie Ji, Lixiang Lian, Yuanqing Zheng, Chenshu Wu

PDF

ACL 2025

ProMind-LLM: Proactive Mental Health Care via Causal Reasoning with Sensor Data

Xinzhe Zheng, Sijie Ji*, Jiawei Sun, Renqi Chen, Wei Gao, Mani Srivastava

PDF

SenSys 2025

Transforming Mental Health Care with Autonomous LLM Agents at the Edge

Sijie Ji, Xinzhe Zheng, Wei Gao, Mani Srivastava

PDF

More Publications

[ICC'23] JPTS: Enhancing Deep Learning Performance of Massive MIMO CSI Feedback — Sijie Ji, Mo Li.
[ICASSP'24] Predicting Adverse Events for Patients with Type-1 Diabetes via Self-supervised Learning — Xinzhe Zheng^, Sijie Ji , Chenshu Wu.
[MM'25] CardioLive: Empowering Video Streaming with Online Cardiac Monitoring via Audio-Visual Learning — Sheng Lyu^, Ruiming Huang^, Sijie Ji, et al.
[IET Radar'23] Excellent Paper Award. Joint location design and resource allocation for ISAC — Yuanhao Cui, Weijie Yuan, Sijie Ji*, et al.

View Full List on Google Scholar