Zhishan Guo
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View article: Knowledge transfer-driven estimation of knee moments and ground reaction forces from smartphone videos via temporal-spatial modeling of augmented joint kinematics
Knowledge transfer-driven estimation of knee moments and ground reaction forces from smartphone videos via temporal-spatial modeling of augmented joint kinematics Open
The knee adduction and flexion moment provides critical information about knee joint health, while 3D ground reaction forces (GRFs) help identify force and energy characteristics for maneuvering the entire human body. Existing methods of a…
View article: When machine learning and neural networks marry real-time scheduling
When machine learning and neural networks marry real-time scheduling Open
Real-time scheduling ensures predictability in computing systems, ensuring that tasks meet stringent timing constraints. The integration of machine learning and neural networks into real-time scheduling offers new paradigms for solving con…
View article: Soteria: A Formal Digital-Twin-Enabled Framework for Safety-Assurance of Latency-Aware Cyber-Physical Systems
Soteria: A Formal Digital-Twin-Enabled Framework for Safety-Assurance of Latency-Aware Cyber-Physical Systems Open
View article: ULTRA-MoCap: A Multimodal IMU and sEMG Dataset for Upper Body Joint Kinematics Analysis
ULTRA-MoCap: A Multimodal IMU and sEMG Dataset for Upper Body Joint Kinematics Analysis Open
View article: DOMAIN ADAPTATION TECHNIQUE TO TRANSFER KNOWLEDGE AMONG DIFFERENT DATASET FOR IMPROVED KINETICS ESTIMATION
DOMAIN ADAPTATION TECHNIQUE TO TRANSFER KNOWLEDGE AMONG DIFFERENT DATASET FOR IMPROVED KINETICS ESTIMATION Open
View article: Lightweight and Efficient Kinetics Estimation with Sparse IMUs via Multi-Modal Sensor Distillation
Lightweight and Efficient Kinetics Estimation with Sparse IMUs via Multi-Modal Sensor Distillation Open
View article: Fisher Information guided Purification against Backdoor Attacks
Fisher Information guided Purification against Backdoor Attacks Open
View article: From cache and memory management to WCET analysis
From cache and memory management to WCET analysis Open
View article: Fisher Information guided Purification against Backdoor Attacks
Fisher Information guided Purification against Backdoor Attacks Open
Studies on backdoor attacks in recent years suggest that an adversary can compromise the integrity of a deep neural network (DNN) by manipulating a small set of training samples. Our analysis shows that such manipulation can make the backd…
View article: Augmented Neural Fine-Tuning for Efficient Backdoor Purification
Augmented Neural Fine-Tuning for Efficient Backdoor Purification Open
Recent studies have revealed the vulnerability of deep neural networks (DNNs) to various backdoor attacks, where the behavior of DNNs can be compromised by utilizing certain types of triggers or poisoning mechanisms. State-of-the-art (SOTA…
View article: Comprehensive Genome-Wide Investigation and Transcriptional Regulation of the DHHC Gene Family in Cotton Seed and Fiber Development
Comprehensive Genome-Wide Investigation and Transcriptional Regulation of the DHHC Gene Family in Cotton Seed and Fiber Development Open
Protein palmitoylation, the most common and the only reversible post-translational lipid modification following protein translation, plays a pivotal role in the biochemical and physiological processes of both animals and plants. DHHC prote…
View article: ESG: Pipeline-Conscious Efficient Scheduling of DNN Workflows on Serverless Platforms with Shareable GPUs
ESG: Pipeline-Conscious Efficient Scheduling of DNN Workflows on Serverless Platforms with Shareable GPUs Open
Recent years have witnessed increasing interest in machine learning inferences on serverless computing for its auto-scaling and cost effective properties. Existing serverless computing, however, lacks effective job scheduling methods to ha…
View article: Estimating Ground Reaction Forces (GRF) and Lower Extremity Joint Moment in Multiple Walking Environment Using Deep Learning
Estimating Ground Reaction Forces (GRF) and Lower Extremity Joint Moment in Multiple Walking Environment Using Deep Learning Open
Estimating Ground Reaction Forces (GRF) and Lower Extremity Joint Moment in Multiple Walking Environment Using Deep Learning
View article: Estimating Ground Reaction Forces (GRF) and Lower Extremity Joint Moment in Multiple Walking Environment Using Deep Learning
Estimating Ground Reaction Forces (GRF) and Lower Extremity Joint Moment in Multiple Walking Environment Using Deep Learning Open
Estimating Ground Reaction Forces (GRF) and Lower Extremity Joint Moment in Multiple Walking Environment Using Deep Learning
View article: SENSOR AND CROSS-MODAL KNOWLEDGE DISTILLATION FOR KINETICS ESTIMATION
SENSOR AND CROSS-MODAL KNOWLEDGE DISTILLATION FOR KINETICS ESTIMATION Open
SENSOR AND CROSS-MODAL KNOWLEDGE DISTILLATION FOR KINETICS ESTIMATION
View article: Predicting Lower Extremity Joint Kinematics Using Multi-Modal Data in the Lab and Outdoor Environment
Predicting Lower Extremity Joint Kinematics Using Multi-Modal Data in the Lab and Outdoor Environment Open
Predicting future walking joint kinematics is crucial for assistive device control, especially in variable walking environments. Traditional optical motion capture systems provide kinematics data but require laborious post-processing, wher…
View article: SENSOR AND CROSS-MODAL KNOWLEDGE DISTILLATION FOR KINETICS ESTIMATION
SENSOR AND CROSS-MODAL KNOWLEDGE DISTILLATION FOR KINETICS ESTIMATION Open
SENSOR AND CROSS-MODAL KNOWLEDGE DISTILLATION FOR KINETICS ESTIMATION
View article: Predicting Lower Extremity Joint Kinematics Using Multi-Modal Data in the Lab and Outdoor Environment
Predicting Lower Extremity Joint Kinematics Using Multi-Modal Data in the Lab and Outdoor Environment Open
Predicting future walking joint kinematics is crucial for assistive device control, especially in variable walking environments. Traditional optical motion capture systems provide kinematics data but require laborious post-processing, wher…
View article: Correction to: AA-forecast: anomaly-aware forecast for extreme events
Correction to: AA-forecast: anomaly-aware forecast for extreme events Open
View article: Population Genomics Unravels the Characteristic Relationship between Introgression and Geographical Distribution in Upland Cotton
Population Genomics Unravels the Characteristic Relationship between Introgression and Geographical Distribution in Upland Cotton Open
Introgression is an important driver of new genetic variation that increases species and genetic diversity. However, the relationship between introgression and geographic distribution of upland cotton is still unclear. Herein, we explored …
View article: Efficient Backdoor Removal Through Natural Gradient Fine-tuning
Efficient Backdoor Removal Through Natural Gradient Fine-tuning Open
The success of a deep neural network (DNN) heavily relies on the details of the training scheme; e.g., training data, architectures, hyper-parameters, etc. Recent backdoor attacks suggest that an adversary can take advantage of such traini…
View article: Software Fault Tolerance in Real-Time Systems: Identifying the Future Research Questions
Software Fault Tolerance in Real-Time Systems: Identifying the Future Research Questions Open
Tolerating hardware faults in modern architectures is becoming a prominent problem due to the miniaturization of the hardware components, their increasing complexity, and the necessity to reduce costs. Software-Implemented Hardware Fault T…
View article: Scheduling IDK classifiers with arbitrary dependences to minimize the expected time to successful classification
Scheduling IDK classifiers with arbitrary dependences to minimize the expected time to successful classification Open
This paper introduces and evaluates a general construct for trading off accuracy and overall execution duration in classification-based machine perception problems—namely, the generalized IDK classifier cascade . The aim is to select the o…
View article: AA-forecast: anomaly-aware forecast for extreme events
AA-forecast: anomaly-aware forecast for extreme events Open
View article: Towards the Design of a Gamified Application to Increase Tuberculosis Treatment Adherence in Vietnam
Towards the Design of a Gamified Application to Increase Tuberculosis Treatment Adherence in Vietnam Open
Despite being treatable, tuberculosis (TB) remains among the most common causes of death worldwide. One of the countries with the highest-burden from TB is Vietnam. A major factor responsible for the high mortality rate is nonadherence to …
View article: Optimizing Real-Time Performances for Timed-Loop Racing under F1TENTH
Optimizing Real-Time Performances for Timed-Loop Racing under F1TENTH Open
Motion planning and control in autonomous car racing are one of the most challenging and safety-critical tasks due to high speed and dynamism. The lower-level control nodes are expected to be highly optimized due to resource constraints of…
View article: GLARE: A Dataset for Traffic Sign Detection in Sun Glare
GLARE: A Dataset for Traffic Sign Detection in Sun Glare Open
Real-time machine learning object detection algorithms are often found within autonomous vehicle technology and depend on quality datasets. It is essential that these algorithms work correctly in everyday conditions as well as under strong…
View article: AA-Forecast: Anomaly-Aware Forecast for Extreme Events
AA-Forecast: Anomaly-Aware Forecast for Extreme Events Open
Time series models often deal with extreme events and anomalies, both prevalent in real-world datasets. Such models often need to provide careful probabilistic forecasting, which is vital in risk management for extreme events such as hurri…
View article: Estimation of Lower Extremity Joint Moments and 3D Ground Reaction Forces Using IMU Sensors in Multiple Walking Conditions: A Deep Learning Approach
Estimation of Lower Extremity Joint Moments and 3D Ground Reaction Forces Using IMU Sensors in Multiple Walking Conditions: A Deep Learning Approach Open
Human kinetics, specifically joint moments and ground reaction forces (GRFs) can provide important clinical information and can be used to control assistive devices. Traditionally, collection of kinetics is mostly limited to the lab enviro…
View article: Estimation of Lower Extremity Joint Moments and 3D Ground Reaction Forces Using IMU Sensors in Multiple Walking Conditions: A Deep Learning Approach
Estimation of Lower Extremity Joint Moments and 3D Ground Reaction Forces Using IMU Sensors in Multiple Walking Conditions: A Deep Learning Approach Open
Human kinetics, specifically joint moments and ground reaction forces (GRFs) can provide important clinical information and can be used to control assistive devices. Traditionally, collection of kinetics is mostly limited to the lab enviro…