Publications (15)
Next-Generation Multiple Access Based on NOMA with Power Level Modulation
Xinyue Pei, Yingyang Chen, Miaowen Wen +3
To cope with the explosive traffic growth of next-generation wireless communications, it is necessary to design next-generation multiple access techniques that can provide higher s…
Cross-Modal Epileptic Signal Harmonization: Frequency Domain Mapping Quantization for Pre-training a Unified Neurophysiological Transformer
Runkai Zhang, Hua Yu, John Q. Gan +1
Scalp electroencephalography (EEG) and intracranial EEG (iEEG) are vital for epilepsy diagnosis and treatment. Their unified analysis offers the potential to harness the complement…
A Plug-and-Play Multi-Criteria Guidance for Diverse In-Betweening Human Motion Generation
Hua Yu, Jiao Liu, Xu Gui +3
In-betweening human motion generation aims to synthesize intermediate motions that transition between user-specified keyframes. In addition to maintaining smooth transitions, a cru…
Reservoir Characterizations by Deep-Learning Model: Detection of True Sand Thickness
Ping Lu, Yanyan Zhang, Hua Yu +1
It is an extremely challenging task to precisely identify the reservoir characteristics directly from seismic data due to its inherit nature. Here, we successfully design a deep-le…
MazeMate: An LLM-Powered Chatbot to Support Computational Thinking in Gamified Programming Learning
Chenyu Hou, Hua Yu, Gaoxia Zhu +3
Computational Thinking (CT) is a foundational problem-solving skill, and gamified programming environments are a widely adopted approach to cultivating it. While large language mod…
Hybrid Multicast/Unicast Design in NOMA-based Vehicular Caching System with Supplementary Material
Xinyue Pei, Hua Yu, Yingyang Chen +2
In this paper, we investigate a hybrid multicast/ unicast scheme for a multiple-input single-output cache-aided non-orthogonal multiple access (NOMA) vehicular scenario in the face…
Learning Spiking Neural Network from Easy to Hard task
Lingling Tang, Jiangtao Hu, Hua Yu +2
Starting with small and simple concepts, and gradually introducing complex and difficult concepts is the natural process of human learning. Spiking Neural Networks (SNNs) aim to mi…
Unifying Adversarially Robust Model Experts in Vision-Language Models
Nguyen Duc Thai, Junhao Dong, Sua Qi Rong +2
The paper introduces CARE, a framework that jointly fine‑tunes multiple adversarially robust vision‑language model experts and merges their knowledge into a single model with compl…
A Spatio-temporal Continuous Network for Stochastic 3D Human Motion Prediction
Hua Yu, Yaqing Hou, Xu Gui +3
Stochastic Human Motion Prediction (HMP) has received increasing attention due to its wide applications. Despite the rapid progress in generative fields, existing methods often fac…
DivDiff: A Conditional Diffusion Model for Diverse Human Motion Prediction
Hua Yu, Yaqing Hou, Wenbin Pei +1
Diverse human motion prediction (HMP) aims to predict multiple plausible future motions given an observed human motion sequence. It is a challenging task due to the diversity of po…
Non-Orthogonal Multiple Access For Cooperative Communications: Challenges, Opportunities, And Trends
Dehuan Wan, Miaowen Wen, Fei Ji +2
Non-orthogonal multiple access (NOMA) is a promising radio access technique for next-generation wireless networks. In this article, we investigate the NOMA-based cooperative relay…
High speed free-space optical communication using standard fiber communication component without optical amplification
Yao Zhang, Hua-Ying Liu, Xiaoyi Liu +10
Free-space optical communication (FSO) can achieve fast, secure and license-free communication without need for physical cables, making it a cost-effective, energy-efficient and fl…
TransGP: Task-Conditioned Transformer-Guided Genetic Programming for Multitask Dynamic Flexible Job Shop Scheduling
Meng Xu, Jiao Liu, Hua Yu +1
Hyper-heuristics have become a popular approach for solving dynamic flexible job shop scheduling (DFJSS) problems. They use gradient-free optimization techniques like Genetic Progr…
Enhancement of seismic imaging: An innovative deep learning approach
Yanyan Zhang, Ping Lu, Hua Yu +1
Enhancing the frequency bandwidth of the seismic data is always the pursuance at the geophysical community. High resolution of seismic data provides the key resource to extract det…
From Consistency to Collaborative Discovery: MFEA-CoD for Multitask Novelty Search
Jiao Liu, Yanchi Li, Hua Yu +2
Evolutionary multitasking (EMT) has shown strong capability in solving multiple optimization problems simultaneously by exploiting latent inter-task consistency, such as similariti…