Trajectory prediction of seagoing ships in dynamic traffic scenes via a gated spatio-temporal graph aggregation network

X Zhang, J Liu, P Gong, C Chen, B Han, Z Wu - Ocean Engineering, 2023 - Elsevier
Accurate ship trajectory prediction is essential in maritime traffic control and safety, requiring
the consideration of complex spatial and temporal dependencies within trajectory data. Most …

Chord conditioned melody generation with transformer based decoders

K Choi, J Park, W Heo, S Jeon, J Park - IEEE Access, 2021 - ieeexplore.ieee.org
For successful artificial music composition, chords and melody must be aligned well. Yet,
chord conditioned melody generation remains a challenging task mainly due to its …

Goal-driven long-term marine vessel trajectory prediction with a memory-enhanced network

X Zhang, J Liu, C Chen, L Wei, Z Wu, W Dai - Expert Systems with …, 2025 - Elsevier
Enhancing the precision of marine vessel trajectory prediction (VTP) is crucial for collision
avoidance, intelligent navigation, and crisis alert in maritime safety. Most RNN-based …

Enhancing context representations with part-of-speech information and neighboring signals for question classification

P Gong, J Liu, Y Xie, M Liu, X Zhang - Complex & Intelligent Systems, 2023 - Springer
Question classification is an essential task in question answering (QA) systems. An effective
and efficient question classification model can not only restrict the search space for answers …

Cross-modal knowledge guided model for abstractive summarization

H Wang, J Liu, M Duan, P Gong, Z Wu, J Wang… - Complex & Intelligent …, 2024 - Springer
Abstractive summarization (AS) aims to generate more flexible and informative descriptions
than extractive summarization. Nevertheless, it often distorts or fabricates facts in the original …

SEQ2SEQ++: A multitasking-based Seq2Seq model to generate meaningful and relevant answers

K Palasundram, NM Sharef, KA Kasmiran… - IEEE Access, 2021 - ieeexplore.ieee.org
Question-answering chatbots have tremendous potential to complement humans in various
fields. They are implemented using either rule-based or machine learning-based systems …

VT-3DCapsNet: Visual tempos 3D-Capsule network for video-based facial expression recognition

Z Li, J Liu, H Wang, X Zhang, Z Wu, B Han - Plos one, 2024 - journals.plos.org
Facial expression recognition (FER) is a hot topic in computer vision, especially as deep
learning based methods are gaining traction in this field. However, traditional convolutional …

Scale-aware regional collective feature enhancement network for scene object detection

Y Li, J Liu, Z Gao - Neural Processing Letters, 2023 - Springer
Deep learning-based methods are prevalent in object detection. These methods usually
utilize a complex end-to-end network to locate and classify objects without overall …

Extractive Question Answering over Ancient scriptures Texts using Generative AI and Natural Language Processing Techniques

AK Pandey, SS Roy - IEEE Access, 2024 - ieeexplore.ieee.org
Generative AI (GenAI) and Natural Language Processing (NLP) are transforming the
landscape of question-answering systems, shifting from traditional methods to more …

Design of a music recommendation model on the basis of multilayer attention representation

W Lu - Scientific Programming, 2022 - Wiley Online Library
Current music recommendation systems can explore the general relationship between the
users and songs to recommend music to the users; however, they cannot distinguish the …