aicpslab

[aicpslab @aicpslab]

🎉 Accepted by IEEE TAC as a full paper (https://t.co/pPaiYdAmm8)! Our work achieves certified safe control from offline data, without system identification, while guaranteeing safety, robustness, and recursive feasibility. #ControlTheory #DataDrivenControl #AutonomousDriving

[aicpslab @aicpslab]

@JDVance Please respect your presidents, wether you like them or not. They are an integral part of this nation's history. Unlike countries with deep historical roots, the U.S. could learn to better appreciate and honor its past. Making fun of former president is naive and disrespectful.

[aicpslab @aicpslab]

Two papers accepted by ICMLA'24: 1) Approximate Bisimulation Relation Restoration for Neural Networks Based On Knowledge Distillation; 2) Discrepancy-Based Knowledge Distillation for Image Classification Restoration.

[aicpslab @aicpslab]

Two papers accepted by MECC 2024: 1) Data-Driven Decentralized Control Design for Discrete-Time Large-Scale Systems; 2) Efficient Neural Hybrid System Learning and Interpretable Transition System Abstraction for Dynamical Systems (joint LDSC).

[aicpslab @aicpslab]

Paper D^3NN: Data-Driven Dual-level Neural Network Tool for Dynamical System Modeling and Abstraction by accepted by ADHS.

[aicpslab @aicpslab]

Two papers accepted by ACC 2024. (1) A Transition System Abstraction Framework for Neural Network Dynamical System Models; (2) Compression Repair for Feedforward Neural Networks Based on Model Equivalence Evaluation.

[aicpslab @aicpslab]

Our new paper accepted by the International Journal of Control, available online: Observer-based safety monitoring of nonlinear dynamical systems with neural networks via quadratic constraint approach https://t.co/PgYLVRzMZN

[aicpslab @aicpslab]

“Computationally efficient neural hybrid automaton framework for learning complex dynamics.” A novel modeling method using shallow neural networks and hybrid system architecture to build computationally efficient and highly accurate data-driven model. https://t.co/yUgh2kkfwu

[aicpslab @aicpslab]

Two papers "A Data-Driven Hybrid Automaton Framework to Modeling Complex Dynamical Systems" and "Guaranteed Quantization Error Computation for Neural Network Model Compression" accepted by ICIT 2023. Notably, Wesley Cooke, an undergraduate student, is leading the second paper.

[Weiming Xiang @xiangweiming]

EARLY TENURE and promotion to ASSOCIATE PROFESSOR @AUG_University @aug_provost . Truly the best Chinese New Year gift!

[Weiming Xiang @xiangweiming]

Our paper "Modeling Dynamical Systems with Neural Hybrid System Framework via Maximum Entropy Approach" accepted in ACC 2023.

[Weiming Xiang @xiangweiming]

It is a great honor to serve on the Editorial Board of IEEE Control Systems Letters (L-CSS)!

[JAGWIRE @AUG_JAGWIRE]

Augusta University celebrates @AUG_Cyber's first Master of Science in Computer Science graduate, Patrick Woolard.

Congrats on being an #AUGGRAD #LikeNoOther, Patrick! https://t.co/uJY85ZWnTq

[U.S. Army Cyber Center of Excellence @Army_Cyber_CoE]

#Motivated by the student presenters at the #TechNetAugusta poster show. Stay engaged and keep it up! @AUG_University @MGAstateU @SouthernMissNow @UofSC @TRADOC @usarec @AFCEA #TechNetAugusta #peoplefirst #cyber #future #CyberForge #VictoryStartsHere

[Weiming Xiang @xiangweiming]

Our paper “Safety Verification of Neural Network Control Systems Using Guaranteed Neural Network Model Reduction” accepted in CDC 2022.

[Weiming Xiang @xiangweiming]

Our @NSF grant on human cyber-physical systems (h-CPS) got awarded! I will be collaborating with @jeoresearch studying data-driven modeling and control of h-CPS with VR interfaces.

[Weiming Xiang @xiangweiming]

Proud to announce my project CAREER: Enabling Trustworthy Upgrades of Machine-Learning Intensive Cyber-Physical Systems got an @NSF CAREER Award!

[Weiming Xiang @xiangweiming]

I am looking for highly self-motivated PhD students with interests in one or more of the following areas to join my group: control systems, machine learning, formal methods, and cyber-physical systems. PhD Student Opening details: https://t.co/TDBXwWuN6O

[Weiming Xiang @xiangweiming]

Paper accepted by ACC 2022, Approximate Bisimulation Relations for Neural Networks and Application to Assured Neural Network Compression.