Search Results for author:
Found 12 papers, 3 papers with code
Towards Ideal Temporal Graph Neural Networks: Evaluations and Conclusions after 10,000 GPU Hours
To address these shortcomings, we propose a practical comparative evaluation framework that performs a design space search across well-known TGNN modules based on a unified, optimized code implementation.
Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction
Effective modeling of group interactions and dynamic semantic intentions is crucial for forecasting behaviors like trajectories or movements.
Multi-view biomedical foundation models for molecule-target and property prediction
We show that the multi-view models perform robustly and are able to balance the strengths and weaknesses of specific views.
VerilogReader: LLM-Aided Hardware Test Generation
Test generation has been a critical and labor-intensive process in hardware design verification.
LLM-based Privacy Data Augmentation Guided by Knowledge Distillation with a Distribution Tutor for Medical Text Classification
As sufficient data are not always publically accessible for model training, researchers exploit limited data with advanced learning algorithms or expand the dataset via data augmentation (DA).
Uncovering the human motion pattern: Pattern Memory-based Diffusion Model for Trajectory Prediction
To uncover latent motion patterns in human behavior, we introduce a novel memory-based method, named Motion Pattern Priors Memory Network.
Towards Efficient Object Re-Identification with A Novel Cloud-Edge Collaborative Framework
Object re-identification (ReID) is committed to searching for objects of the same identity across cameras, and its real-world deployment is gradually increasing.
GROVE: A Retrieval-augmented Complex Story Generation Framework with A Forest of Evidence
Finally, we select the most fitting chains of evidence from the evidence forest and integrate them into the generated story, thereby enhancing the narrative's complexity and credibility.
FSD: An Initial Chinese Dataset for Fake Song Detection
In this paper, we initially construct a Chinese Fake Song Detection (FSD) dataset to investigate the field of song deepfake detection.
Decreased serum vitamin D level as a prognostic marker in patients with COVID-19
ROC curve showed the serum vitamin D level could predict the severity classification and prognosis of COVID-19 significantly. Conclusions: Serum 25(OH)D3 level is independently associated with the severity of COVID-19 in elderly, and it could be used as a predictor of the severity of COVID-19.
Accelerating Magnetic Resonance T1\r{ho} Mapping Using Simultaneously Spatial Patch-based and Parametric Group-based Low-rank Tensors (SMART)
Prospective reconstruction results further demonstrate the capability of the SMART method in accelerating MR T1\r{ho} imaging.
Making Invisible Visible: Data-Driven Seismic Inversion with Spatio-temporally Constrained Data Augmentation
To validate the effectiveness of our data augmentation techniques, we apply them to solve a subsurface seismic full-waveform inversion using simulated CO$_2$ leakage data.
