Ting Cao
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View article: A Transformer-Based Pavement Crack Segmentation Model with Local Perception and Auxiliary Convolution Layers
A Transformer-Based Pavement Crack Segmentation Model with Local Perception and Auxiliary Convolution Layers Open
Crack detection in complex pavement scenarios remains challenging due to the sparse small-target features and computational inefficiency of existing methods. To address these limitations, this study proposes an enhanced architecture based …
View article: Dissecting Bit-Level Scaling Laws in Quantizing Vision Generative Models
Dissecting Bit-Level Scaling Laws in Quantizing Vision Generative Models Open
Vision generative models have recently made significant advancements along two primary paradigms: diffusion-style and language-style, both of which have demonstrated excellent scaling laws. Quantization is crucial for efficiently deploying…
View article: VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models
VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models Open
Scaling model size significantly challenges the deployment and inference of Large Language Models (LLMs). Due to the redundancy in LLM weights, recent research has focused on pushing weight-only quantization to extremely low-bit (even down…
View article: A BiFPN-SECA Detection Network for Foreign Objects on Top of Railway Freight Vehicles
A BiFPN-SECA Detection Network for Foreign Objects on Top of Railway Freight Vehicles Open
Foreign object detection on top of railway freight vehicles is critical to ensuring the safety and efficiency railway transportation. However, this task faces major challenges such as low accuracy and potential false positives and false ne…
View article: Exploiting Renewable Energy and UPS Systems to Reduce Power Consumption in Data Centers
Exploiting Renewable Energy and UPS Systems to Reduce Power Consumption in Data Centers Open
To develop environmental friendly and energy-efficient data centers, it is prudent to leverage on-site renewable sources like solar and wind. Data centers deploy distributed UPS systems to improve efficiency, scalability, and reliability o…
View article: TAPAS: An Open-Source Software Package for Translational Neuromodeling and Computational Psychiatry
TAPAS: An Open-Source Software Package for Translational Neuromodeling and Computational Psychiatry Open
Psychiatry faces fundamental challenges with regard to mechanistically guided differential diagnosis, as well as prediction of clinical trajectories and treatment response of individual patients. This has motivated the genesis of two close…
View article: TAPAS: an open-source software package for Translational Neuromodeling and Computational Psychiatry
TAPAS: an open-source software package for Translational Neuromodeling and Computational Psychiatry Open
Psychiatry faces fundamental challenges with regard to mechanistically guided differential diagnosis, as well as prediction of clinical trajectories and treatment response of individual patients. This has motivated the genesis of two close…
View article: The Method of Dance Movement Segmentation and Labanotation Generation Based on Rhythm
The Method of Dance Movement Segmentation and Labanotation Generation Based on Rhythm Open
Labanotation is a widely used dance recording system, which plays an important role in inheriting and protecting folk dances. However, manual drawing of dance notation is time-consuming and labor-intensive. Therefore, research on the autom…
View article: Wearable Sensor-Based Human Activity Recognition Using Hybrid Deep Learning Techniques
Wearable Sensor-Based Human Activity Recognition Using Hybrid Deep Learning Techniques Open
Human activity recognition (HAR) can be exploited to great benefits in many applications, including elder care, health care, rehabilitation, entertainment, and monitoring. Many existing techniques, such as deep learning, have been develope…
View article: Whole-brain estimates of directed connectivity for human connectomics
Whole-brain estimates of directed connectivity for human connectomics Open
Connectomics is essential for understanding large-scale brain networks but requires that individual connection estimates are neurobiologically interpretable. In particular, a principle of brain organization is that reciprocal connections b…
View article: Electric Vehicle Charging Warning and Path Planning Method Based on Spark
Electric Vehicle Charging Warning and Path Planning Method Based on Spark Open
Electric vehicles (EVs) are increasing popular as clean transportation. However electric vehicle (EV) users often encounter a shortage of electricity in the driving process. Especially when vehicle charging path planning system request rea…
View article: Dance Emotion Recognition Based on Laban Motion Analysis Using Convolutional Neural Network and Long Short-Term Memory
Dance Emotion Recognition Based on Laban Motion Analysis Using Convolutional Neural Network and Long Short-Term Memory Open
Dance emotion recognition technology is of great significance for the digitalization, virtual performance, inheritance and protection of folk dance. Based on the mechanism that emotion expression in dance performance can be fully expressed…
View article: Panthera: holistic memory management for big data processing over hybrid memories
Panthera: holistic memory management for big data processing over hybrid memories Open
Modern data-parallel systems such as Spark rely increasingly on in-memory computing that can significantly improve the efficiency of iterative algorithms. To process real-world datasets, modern data-parallel systems often require extremely…