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09/17/2023
Data-Driven Reachability Analysis of Stochastic Dynamical Systems with Conformal Inference
We consider data-driven reachability analysis of discrete-time stochasti...
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11/03/2022
Conformal Prediction for STL Runtime Verification
We are interested in predicting failures of cyber-physical systems durin...
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10/14/2022
Risk-Awareness in Learning Neural Controllers for Temporal Logic Objectives
In this paper, we consider the problem of synthesizing a controller in t...
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07/21/2022
Domain Generalization for Activity Recognition via Adaptive Feature Fusion
Human activity recognition requires the efforts to build a generalizable...
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06/17/2022
MetaFed: Federated Learning among Federations with Cyclic Knowledge Distillation for Personalized Healthcare
Federated learning has attracted increasing attention to building models...
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06/14/2022
Semantic-Discriminative Mixup for Generalizable Sensor-based Cross-domain Activity Recognition
It is expensive and time-consuming to collect sufficient labeled data to...
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12/01/2021
Federated Learning with Adaptive Batchnorm for Personalized Healthcare
There is a growing interest in applying machine learning techniques for ...
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09/24/2021
Mining Shape Expressions with ShapeIt
We present ShapeIt, a tool for mining specifications of cyber-physical s...
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06/30/2021
When Video Classification Meets Incremental Classes
With the rapid development of social media, tremendous videos with new c...
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06/02/2021
FedHealth 2: Weighted Federated Transfer Learning via Batch Normalization for Personalized Healthcare
The success of machine learning applications often needs a large quantit...
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05/15/2021
Composite Localization for Human Pose Estimation
The existing human pose estimation methods are confronted with inaccurat...
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03/09/2021
PcmNet: Position-Sensitive Context Modeling Network for Temporal Action Localization
Temporal action localization is an important and challenging task that a...
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07/24/2020
What and Where: Learn to Plug Adapters via NAS for Multi-Domain Learning
As an important and challenging problem, multi-domain learning (MDL) typ...
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01/29/2020
FOCUS: Dealing with Label Quality Disparity in Federated Learning
Ubiquitous systems with End-Edge-Cloud architecture are increasingly bei...
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10/30/2019
Automatic Testing and Falsification with Dynamically Constrained Reinforcement Learning
We consider the problem of using reinforcement learning to train adversa...
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07/22/2019
FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare
With the rapid development of computing technology, wearable devices suc...
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11/12/2018