Search Results for author:
Found 15 papers, 4 papers with code
VisRec: A Semi-Supervised Approach to Radio Interferometric Data Reconstruction
This hybrid approach allows VisRec to effectively leverage both labeled and unlabeled data.
ControlRec: Bridging the Semantic Gap between Language Model and Personalized Recommendation
The successful integration of large language models (LLMs) into recommendation systems has proven to be a major breakthrough in recent studies, paving the way for more generic and transferable recommendations.
AudioFormer: Audio Transformer learns audio feature representations from discrete acoustic codes
In our experiments, we treat discrete acoustic codes as textual data and train a masked language model using a cloze-like methodology, ultimately deriving high-quality audio representations.
MSMix:An Interpolation-Based Text Data Augmentation Method Manifold Swap Mixup
To solve the problem of poor performance of deep neural network models due to insufficient data, a simple yet effective interpolation-based data augmentation method is proposed: MSMix (Manifold Swap Mixup).
Statistical Dataset Evaluation: Reliability, Difficulty, and Validity
Taking the Named Entity Recognition (NER) datasets as a case study, we introduce $9$ statistical metrics for a statistical dataset evaluation framework.
Learning Symbolic Operators: A Neurosymbolic Solution for Autonomous Disassembly of Electric Vehicle Battery
The booming of electric vehicles demands efficient battery disassembly for recycling to be environment-friendly.
AMMASurv: Asymmetrical Multi-Modal Attention for Accurate Survival Analysis with Whole Slide Images and Gene Expression Data
Different from previous works, AMMASurv can effectively utilize the intrinsic information within every modality and flexibly adapts to the modalities of different importance.
Towards Accurate and Consistent Evaluation: A Dataset for Distantly-Supervised Relation Extraction
The experimental results show that the ranking lists of the comparison systems on the DS-labelled test data and human-annotated test data are different.
Overview of the CCKS 2019 Knowledge Graph Evaluation Track: Entity, Relation, Event and QA
Knowledge graph models world knowledge as concepts, entities, and the relationships between them, which has been widely used in many real-world tasks.
CCKS 2019 Shared Task on Inter-Personal Relationship Extraction
In this paper, we present the task definition, the description of data and the evaluation methodology used during this shared task.
IPRE: a Dataset for Inter-Personal Relationship Extraction
Our data is the first dataset for inter-personal relationship extraction.
Principal Observation Ray Calibration for Tiled-Lens-Array Integral Imaging Display
Based on this, 3D image artifacts are shown to be effectively removed in a test TLA-IID with challenging misalignments.
Segment-Tree Based Cost Aggregation for Stereo Matching
Instead of employing the minimum spanning tree (MST) and its variants, a new tree structure, "Segment-Tree", is proposed for non-local matching cost aggregation.
Matroid and Knapsack Center Problems
We also consider the outlier version of the problem where a given number of vertices can be excluded as the outliers from the solution.
Data Structures and Algorithms Discrete Mathematics
