1 citations · 1 across the 11 of their papers we have counts for
13 papers
Asymptotic Theory for Restricted Maximum Likelihood Estimators in Generalized Linear Mixed Models
Zhanzhongyu Gao, Huadong Mo, Ziyang Lyu
Developing an asymptotic theory for restricted maximum likelihood (REML) estimators in generalized linear mixed models (GLMMs) has remained an open problem for decades. In this pap…
KeyBound: Keyed and Host-Bound Learned Audio Watermarking for Speech Provenance
Bangshuo Zhu, Yuxin Cao, Weifei Jin +4
Audio watermarking is a proactive route to attributing synthetic speech to its source. Learned audio watermarks are typically judged by payload recovery after a fixed catalog of si…
3DXTalker: Unifying Identity, Lip Sync, Emotion, and Spatial Dynamics in Expressive 3D Talking Avatars
Zhongju Wang, Zhenhong Sun, Beier Wang +4
Audio-driven 3D talking avatar generation is increasingly important in virtual communication, digital humans, and interactive media, where avatars must preserve identity, synchroni…
Robust CAPTCHA Using Audio Illusions in the Era of Large Language Models: from Evaluation to Advances
Ziqi Ding, Yunfeng Wan, Wei Song +7
CAPTCHAs are widely used by websites to block bots and spam by presenting challenges that are easy for humans but difficult for automated programs to solve. To improve accessibilit…
Real-Time Energy Management Strategies for Community Microgrids
Moslem Uddin, Huadong Mo, Daoyi Dong
This study presents a real-time energy management framework for hybrid community microgrids integrating photovoltaic, wind, battery energy storage systems, diesel generators, and g…
Residual-Evasive Attacks on ADMM in Distributed Optimization
Sabrina Bruckmeier, Huadong Mo, James Qin
This paper presents two attack strategies designed to evade detection in ADMM-based systems by preventing significant changes to the residual during the attacked iteration. While m…
A review on modelling, evaluation, and optimization of cyber-physical system reliability
Moslem Uddin, Huadong Mo, Daoyi Dong
The aim of this study is to present an overview of current research on modelling, evaluation, and optimization methods for improving the reliability of Cyber-Physical System (CPS).…
Integrated Energy Management for Operational Cost Optimization in Community Microgrids
Moslem Uddin, Huadong Mo, Daoyi Dong
This study presents an integrated energy management strategy for cost optimization in multi-energy community microgrids (MGs). The proposed approach combines storage-based peak sha…
Cost-Effective Design of Grid-tied Community Microgrid
Moslem Uddin, Huadong Mo, Daoyi Dong
This study aims to develop a cost-effective microgrid (MG) design that optimally balances the economic feasibility, reliability, efficiency, and environmental impact in a grid-tied…
Learning-Based Design of LQG Controllers in Quantum Coherent Feedback
Chunxiang Song, Yanan Liu, Guofeng Zhang +2
In this paper, we propose a differential evolution (DE) algorithm specifically tailored for the design of Linear-Quadratic-Gaussian (LQG) controllers in quantum systems. Building u…
EF-LLM: A Continual Learning-Based Framework for AI-Assisted Automation, Enhanced Sparse Prediction, and Hallucination Detection
Zihang Qiu, Chaojie Li, Jayashri Ravishankar +8
Accurate prediction helps achieve supply-demand balance in energy systems,thereby supporting operational decision-making and scheduling.Traditional models,which lack AI-assisted au…
Adaptive BESS and Grid Setpoints Optimization: A Model-Free Framework for Efficient Battery Management under Dynamic Tariff Pricing
Alaa Selim, Huadong Mo, Hemanshu Pota +1
This paper introduces an enhanced framework for managing Battery Energy Storage Systems (BESS) in residential communities. The non-convex BESS control problem is first addressed us…
Online Planning of Power Flows for Power Systems Against Bushfires Using Spatial Context
Jianyu Xu, Qiuzhuang Sun, Yang Yang +2
The 2019-20 Australia bushfire incurred numerous economic losses and significantly affected the operations of power systems. A power station or transmission line can be significant…