Publications (17)
LMMSE Processing for Cell-free Massive MIMO with Radio Stripes and MRC Fronthaul
Zhifeng Yuan, Yihua Ma, Guanghui Yu
Cell-free massive MIMO provides ubiquitous connectivity for multiple users, and implementation using radio stripes is very efficient. Compared with collocated massive MIMO, the maj…
Ada-MK: Adaptive MegaKernel Optimization via Automated DAG-based Search for LLM Inference
Wenxin Dong, Mingqing Hu, Guanghui Yu +7
When large language models (LLMs) serve real-time inference in commercial online advertising systems, end-to-end latency must be strictly bounded to the millisecond range. Yet ever…
Goal Recognition Design for General Behavioral Agents using Machine Learning
Robert Kasumba, Guanghui Yu, Chien-Ju Ho +2
Goal recognition design (GRD) aims to make limited modifications to decision-making environments to make it easier to infer the goals of agents acting within those environments. Al…
Variational Source-Channel Coding for Semantic Communication
Yulong Feng, Jing Xu, Liujun Hu +2
Semantic communication technology emerges as a pivotal bridge connecting AI with classical communication. The current semantic communication systems are generally modeled as an Aut…
Highly Efficient Waveform Design and Hybrid Duplex for Joint Communication and Sensing
Yihua Ma, Zhifeng Yuan, Shuqiang Xia +2
Joint communication and sensing (JCAS) is a very promising 6G technology, which attracts more and more research attention. Compared with communication, radar has many unique featur…
ReLU Wins: Discovering Efficient Activation Functions for Sparse LLMs
Zhengyan Zhang, Yixin Song, Guanghui Yu +7
Sparse computation offers a compelling solution for the inference of Large Language Models (LLMs) in low-resource scenarios by dynamically skipping the computation of inactive neur…