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07/15/2023
Learning Subjective Time-Series Data via Utopia Label Distribution Approximation
Subjective time-series regression (STR) tasks have gained increasing att...
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07/02/2023
SUGAR: Spherical Ultrafast Graph Attention Framework for Cortical Surface Registration
Cortical surface registration plays a crucial role in aligning cortical ...
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02/17/2023
Gaussian-smoothed Imbalance Data Improves Speech Emotion Recognition
In speech emotion recognition tasks, models learn emotional representati...
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10/15/2022
Bidirectional Semi-supervised Dual-branch CNN for Robust 3D Reconstruction of Stereo Endoscopic Images via Adaptive Cross and Parallel Supervisions
Semi-supervised learning via teacher-student network can train a model e...
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09/19/2022
Sequence-to-Set Generative Models
In this paper, we propose a sequence-to-set method that can transform an...
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05/09/2022
Re-thinking Knowledge Graph Completion Evaluation from an Information Retrieval Perspective
Knowledge graph completion (KGC) aims to infer missing knowledge triples...
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02/19/2022
Tripartite: Tackle Noisy Labels by a More Precise Partition
Samples in large-scale datasets may be mislabeled due to various reasons...
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11/01/2021
PP-ShiTu: A Practical Lightweight Image Recognition System
In recent years, image recognition applications have developed rapidly. ...
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10/06/2021
Automatic Identification of the End-Diastolic and End-Systolic Cardiac Frames from Invasive Coronary Angiography Videos
Automatic identification of proper image frames at the end-diastolic (ED...
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12/10/2020
The Promises of Parallel Outcomes
Unobserved confounding presents a major threat to the validity of causal...
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12/10/2020
Multi-Classifier Interactive Learning for Ambiguous Speech Emotion Recognition
In recent years, speech emotion recognition technology is of great signi...
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11/29/2020
GitHub-OSS Fixit: Fixing bugs at scale in a Software Engineering Course
Many studies have shown the benefits of introducing open-source projects...
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11/22/2020
Inferring the unknown parameters in Differential Equation by Gaussian Process Regression with Constraint
Differential Equation (DE) is a commonly used modeling method in various...
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03/28/2018
