Ying-jie Tian

14 papers Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Multi-graph fusion guided robust adaptive learning for subspace clustering.
Expert Syst. Appl.
Jianyu Miao, Xiaochan Zhang, Chao Fan, Tiejun Yang, Ying-jie Tian, Yong Shi, Mingliang Xu
2025 J jnl
Class-view graph knowledge distillation: A new idea for learning MLPs on graphs.
Neurocomputing
Ying-jie Tian, Shaokai Xu, Muyang Li
2024 J jnl
Advancing robust regression: Addressing asymmetric noise with the BLINEX loss function.
Inf. Fusion
Jingjing Tang, Bangxin Liu, Saiji Fu, Ying-jie Tian, Gang Kou
2024 J jnl
D
CoRR
Duo Su, Junjie Hou, Weizhi Gao, Ying-jie Tian, Bowen Tang
2024 J jnl
Generalized robust loss functions for machine learning.
Neural Networks
Saiji Fu, Xiaoxiao Wang, Jingjing Tang, Shulin Lan, Ying-jie Tian
2024 J jnl
Incomplete multi-view learning: Review, analysis, and prospects.
Appl. Soft Comput.
Jingjing Tang, Qingqing Yi, Saiji Fu, Ying-jie Tian
2024 J jnl
Robust Pcomp classification using multi-view pairwise data with positive confidence priority.
Knowl. Based Syst.
Long Tang, Ziyun Zhou, Ying-jie Tian, Panos M. Pardalos
2024 J jnl
Universum driven cost-sensitive learning method with asymmetric loss function.
Eng. Appl. Artif. Intell.
Dalian Liu, Saiji Fu, Ying-jie Tian, Jingjing Tang
2023 J jnl
A simple and reliable instance selection for fast training support vector machine: Valid Border Recognition.
Neural Networks
Long Tang, Ying-jie Tian, Xiaowei Wang, Panos M. Pardalos
2020 J jnl
Analysis of slump and surge phenomenon in Chinese stock market based on sequence alignment method.
Soft Comput.
Wen Long, Linqiu Song, Ying-jie Tian, Wenning Yang
2019 J jnl
A new graphic kernel method of stock price trend prediction based on financial news semantic and structural similarity.
Expert Syst. Appl.
Wen Long, Linqiu Song, Ying-jie Tian
2018 J jnl
Investor sentiment identification based on the universum SVM.
Neural Comput. Appl.
Wen Long, Ye-ran Tang, Ying-jie Tian
2007 — conf
Robust Unsupervised and Semisupervised Bounded C-Support Vector Machines.
ICDM Workshops
Kun Zhao, Ying-jie Tian, Naiyang Deng, Hiroshi Kuwajima, Takashi Washio
2006 — conf
Unsupervised and Semi-Supervised Two-class Support Vector Machines.
ICDM Workshops
Kun Zhao, Ying-jie Tian, Naiyang Deng