Tingjun Chen

Preprint · April 14, 2026 Large language models (LLMs) are increasingly deployed as the execution core of autonomous agents rather than as standalone text generators. Agentic workloads induce a temporal shift from single-turn inference to multi-turn LLM-tool loops, and a spatial sh ... Link to item Cite

Real-Time and Scalable Zak-OTFS Receiver Processing on GPUs

Preprint · April 2, 2026 Link to item Cite

RISE: Real-time Image Processing for Spectral Energy Detection and Localization

Preprint · March 20, 2026 Energy detection is widely used for spectrum sensing, but accurately localizing the time and frequency occupation of signals in real-time for efficient spectrum sharing remains challenging. To address this challenge, we present RISE, a software-based spect ... Link to item Cite

Tingjun Chen

Scholarly Works - Preprints

MARS: Efficient, Adaptive Co-Scheduling for Heterogeneous Agentic Systems

Real-Time and Scalable Zak-OTFS Receiver Processing on GPUs

RISE: Real-time Image Processing for Spectral Energy Detection and Localization

Skilled AI Agents for Embedded and IoT Systems Development

DecodeX: Exploring and Benchmarking of LDPC Decoding across CPU, GPU, and ASIC Platforms

IoT-MCP: Bridging LLMs and IoT Systems Through Model Context Protocol

Chameleon: Integrated Sensing and Communication with Sub-Symbol Beam Switching in mmWave Networks

BatStation: Toward In-Situ Radar Sensing on 5G Base Stations with Zero-Shot Template Generation

Nexus: Efficient and Scalable Multi-Cell mmWave Baseband Processing with Heterogeneous Compute

Machine Intelligence on Wireless Edge Networks

Phantora: Maximizing Code Reuse in Simulation-based Machine Learning System Performance Estimation

Disaggregated Deep Learning via In-Physics Computing at Radio Frequency

Conveyor: Efficient Tool-aware LLM Serving with Tool Partial Execution

Geo2SigMap: High-Fidelity RF Signal Mapping Using Geographic Databases