Publications

Controlling Facial Attribute Synthesis by Disentangling Attribute Feature Axes in Latent Space
Face Image Synthesis, Face Attribute, Latent Vector, Gram-Schmidt orthogonalization.
Qiyu Wei 魏启宇, Weihua Zheng, Yuxin Li, Zhongyao Cheng, Zeng Zeng, Xulei Yang$
Controlling Facial Attribute Synthesis by Disentangling Attribute Feature Axes in Latent Space
A Deeply Supervised Semantic Segmentation Method Based on GAN
LIn recent years, the field of intelligent transportation has witnessed rapid advancements, driven by the increasing demand for …
Wei Zhao, Qiyu Wei 魏启宇, Zeng Zeng
A Deeply Supervised Semantic Segmentation Method Based on GAN
Wafer Map Defect Patterns Semi-Supervised Classification Using Latent Vector Representation
Defect detection; semi-supervised learning; unsupervised learning; variation autoencoder
Qiyu Wei 魏启宇, Wei Zhao, Xiaoyan Zheng, Zeng Zeng
Wafer Map Defect Patterns Semi-Supervised Classification Using Latent Vector Representation
Bayesian optimization with switching cost: Regret analysis and lookahead variants
Machine Learning, Bayesian learning, Hyperparameter optimization
Peng Liu, Haowei Wang, Qiyu Wei 魏启宇
Bayesian optimization with switching cost: Regret analysis and lookahead variants
Latent Vector Prototypes Guided Conditional Face Synthesis
Conditional Face Generation, Generative Adversarial Networks, Prototype Clustering
Qiyu Wei 魏启宇, Xulei Yang$, Tong Sang$, Huijiao Wang, Zou Xiaofeng, Cheng Zhongyao, Zhao Ziyuan, Zeng Zeng
Latent Vector Prototypes Guided Conditional Face Synthesis
A job scheduling algorithm based on parallel workload prediction on computational grid
Generally, the computational grid consists of a large number of computing nodes, some of them are idle due to the uneven geographical …
Xiaoyong Tang, Yi Liu, Tan Deng, Zexin Zeng, Haowei Huang, Qiyu Wei 魏启宇, Xiaorong Li, Li Yang
A job scheduling algorithm based on parallel workload prediction on computational grid
Towards Efficient Point Cloud Classification via Critical Point Aware Pooling with Adaptive Learnable Threshold
Critical point aware pooling, Graph neural networks, Point clouds, Learnable importance.
Tong Sang$, Qiyu Wei 魏启宇, Xiaofeng Zou, Zeng Zeng, Xulei Yang$
Towards Efficient Point Cloud Classification via Critical Point Aware Pooling with Adaptive Learnable Threshold
GLAD: A Method of Microgrid Anomaly Detection Based on ESD in Smart Power Grid
Anomaly detection,Microgrids,Time series analysis,Electrostatic discharges,Machine learning,Load modeling,Statistical analysis
Qiyu Wei 魏启宇, Rui Ma, Yiqiu Wang, Mingyu Chen, Yanru Sun, Mingjie Liu, Xiaoyong Lin
GLAD: A Method of Microgrid Anomaly Detection Based on ESD in Smart Power Grid