Publications (6)
Multi-Agent Reinforcement Learning for Decentralized Reservoir Management via Murmuration Intelligence
Heming Fu, Guojun Xiong, Jian Li +1
Conventional centralized water management systems face critical limitations from computational complexity and uncertainty propagation. We present MurmuRL, a novel decentralized fra…
MARLIN: Multi-Agent Reinforcement Learning with Murmuration Intelligence and LLM Guidance for Reservoir Management
Heming Fu, Shan Lin, Guojun Xiong
As climate change intensifies extreme weather events, water disasters pose growing threats to global communities, making adaptive reservoir management critical for protecting vulne…
ADMarker: A Multi-Modal Federated Learning System for Monitoring Digital Biomarkers of Alzheimer's Disease
Xiaomin Ouyang, Xian Shuai, Yang Li +12
Alzheimer's Disease (AD) and related dementia are a growing global health challenge due to the aging population. In this paper, we present ADMarker, the first end-to-end system tha…
Visualizing the Invisible: A Generative AR System for Intuitive Multi-Modal Sensor Data Presentation
Yunqi Guo, Kaiyuan Hou, Heming Fu +4
Understanding sensor data can be difficult for non-experts because of the complexity and different semantic meanings of sensor modalities. This leads to a need for intuitive and ef…
SHADE-AD: An LLM-Based Framework for Synthesizing Activity Data of Alzheimer's Patients
Heming Fu, Hongkai Chen, Shan Lin +1
Alzheimer's Disease (AD) has become an increasingly critical global health concern, which necessitates effective monitoring solutions in smart health applications. However, the dev…
MultiFinBen: Benchmarking Large Language Models for Multilingual and Multimodal Financial Application
Xueqing Peng, Lingfei Qian, Yan Wang +44
Real-world financial analysis involves information across multiple languages and modalities, from reports and news to scanned filings and meeting recordings. Yet most existing eval…