9 citations · 20 across the 11 of their papers we have counts for
11 papers
Improving Generalization in Meta-Learning via Meta-Gradient Augmentation
Ren Wang, Haoliang Sun, Qi Wei +3
Meta-learning methods typically follow a two-loop framework, where each loop potentially suffers from notorious overfitting, hindering rapid adaptation and generalization to new ta…
Exploring Linear Feature Disentanglement For Neural Networks
Tiantian He, Zhibin Li, Yongshun Gong +3
Non-linear activation functions, e.g., Sigmoid, ReLU, and Tanh, have achieved great success in neural networks (NNs). Due to the complex non-linear characteristic of samples, the o…
Series Photo Selection via Multi-view Graph Learning
Jin Huang, Lu Zhang, Yongshun Gong +3
Series photo selection (SPS) is an important branch of the image aesthetics quality assessment, which focuses on finding the best one from a series of nearly identical photos. Whil…
Temporal-Relational Hypergraph Tri-Attention Networks for Stock Trend Prediction
Chaoran Cui, Xiaojie Li, Juan Du +4
Predicting the future price trends of stocks is a challenging yet intriguing problem given its critical role to help investors make profitable decisions. In this paper, we present…
A Survey on Natural Language Video Localization
Xinfang Liu, Xiushan Nie, Zhifang Tan +2
Natural language video localization (NLVL), which aims to locate a target moment from a video that semantically corresponds to a text query, is a novel and challenging task. Toward…
Attention Model Enhanced Network for Classification of Breast Cancer Image
Xiao Kang, Xingbo Liu, Xiushan Nie +2
Breast cancer classification remains a challenging task due to inter-class ambiguity and intra-class variability. Existing deep learning-based methods try to confront this challeng…
Learning Binary Semantic Embedding for Histology Image Classification and Retrieval
Xiao Kang, Xingbo Liu, Xiushan Nie +1
With the development of medical imaging technology and machine learning, computer-assisted diagnosis which can provide impressive reference to pathologists, attracts extensive rese…
Reinforcing Short-Length Hashing
Xingbo Liu, Xiushan Nie, Qi Dai +2
Due to the compelling efficiency in retrieval and storage, similarity-preserving hashing has been widely applied to approximate nearest neighbor search in large-scale image retriev…
Mutual Linear Regression-based Discrete Hashing
Xingbo Liu, Xiushan Nie, Yilong Yin
Label information is widely used in hashing methods because of its effectiveness of improving the precision. The existing hashing methods always use two different projections to re…
Fusion Hashing: A General Framework for Self-improvement of Hashing
Xingbo Liu, Xiushan Nie, Yilong Yin
Hashing has been widely used for efficient similarity search based on its query and storage efficiency. To obtain better precision, most studies focus on designing different object…
Comprehensive Feature-based Robust Video Fingerprinting Using Tensor Model
Xiushan Nie, Yilong Yin, Jiande Sun
Content-based near-duplicate video detection (NDVD) is essential for effective search and retrieval, and robust video fingerprinting is a good solution for NDVD. Most existing vide…