Tianshu Xie - RankMe

16 papers A* 2Journal 14

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Reconciling Attribute and Structural Anomalies for Improved Graph Anomaly Detection. CoRR Chunjing Xiao, Jiahui Lu, Xovee Xu, Fan Zhou, Tianshu Xie, Wei Lu, Lifeng Xu
2025	J	`jnl`	Reconciling Attribute and Structural Anomalies for Improved Graph Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. Chunjing Xiao, Jiahui Lu, Xovee Xu, Fan Zhou, Tianshu Xie, Wei Lu, Lifeng Xu
2025	J	`jnl`	Selective output smoothing regularization: Regularize neural networks by softening output distributions. Appl. Intell. Xuan Cheng, Tianshu Xie, Xiaomin Wang, Meiyi Yang, Jiali Deng, Ming Liu
2023	J	`jnl`	Feature Equilibrium: An Adversarial Training Method to Improve Representation Learning. Int. J. Comput. Intell. Syst. Minghui Liu, Meiyi Yang, Jiali Deng, Xuan Cheng, Tianshu Xie, Pan Deng, Haigang Gong, Ming Liu, Xiaomin Wang
2023	J	`jnl`	Multiple independent losses scheduling: A simple training method for deep neural networks. Intell. Data Anal. Jiali Deng, Haigang Gong, Xiaomin Wang, Minghui Liu, Tianshu Xie, Xuan Cheng, Ming Liu, Wanqing Huang
2023	J	`jnl`	Self-Supervised Feature Enhancement: Applying Internal Pretext Task to Supervised Learning. IEEE Access Tianshu Xie, Yuhang Yang, Zilin Ding, Xuan Cheng, Xiaomin Wang, Haigang Gong, Ming Liu
2022	A*	`conf`	CyclicShift: A Data Augmentation Method For Enriching Data Patterns. ACM Multimedia Hui Lu, Xuan Cheng, Wentao Xia, Pan Deng, Minghui Liu, Tianshu Xie, Xiaomin Wang, Ming Liu
2022	J	`jnl`	Reinforcement Learning Based Diagnosis and Prediction for COVID-19 by Optimizing a Mixed Cost Function From CT Images. IEEE J. Biomed. Health Informatics Siying Chen, Minghui Liu, Pan Deng, Jiali Deng, Yi Yuan, Xuan Cheng, Tianshu Xie, Libo Xie, Wei Zhang, Haigang Gong, Xiaomin Wang, Lifeng Xu, Hong Pu, Ming Liu
2021	A*	`conf`	Cut-Thumbnail: A Novel Data Augmentation for Convolutional Neural Network. ACM Multimedia Tianshu Xie, Xuan Cheng, Xiaomin Wang, Minghui Liu, Jiali Deng, Tao Zhou, Ming Liu
2021	J	`jnl`	Feature Mining: A Novel Training Strategy for Convolutional Neural Network. CoRR Tianshu Xie, Xuan Cheng, Xiaomin Wang, Minghui Liu, Jiali Deng, Ming Liu
2021	J	`jnl`	FocusedDropout for Convolutional Neural Network. CoRR Tianshu Xie, Minghui Liu, Jiali Deng, Xuan Cheng, Xiaomin Wang, Ming Liu
2021	J	`jnl`	Go Small and Similar: A Simple Output Decay Brings Better Performance. CoRR Xuan Cheng, Tianshu Xie, Xiaomin Wang, Jiali Deng, Minghui Liu, Ming Liu
2021	J	`jnl`	Selective Output Smoothing Regularization: Regularize Neural Networks by Softening Output Distributions. CoRR Xuan Cheng, Tianshu Xie, Xiaomin Wang, Qifeng Weng, Minghui Liu, Jiali Deng, Ming Liu
2021	J	`jnl`	Temporally Resolution Decrement: Utilizing the Shape Consistency for Higher Computational Efficiency. CoRR Tianshu Xie, Xuan Cheng, Minghui Liu, Jiali Deng, Xiaomin Wang, Ming Liu
2021	J	`jnl`	Thumbnail: A Novel Data Augmentation for Convolutional Neural Network. CoRR Tianshu Xie, Xuan Cheng, Minghui Liu, Jiali Deng, Xiaomin Wang, Ming Liu
2021	J	`jnl`	White Paper Assistance: A Step Forward Beyond the Shortcut Learning. CoRR Xuan Cheng, Tianshu Xie, Xiaomin Wang, Jiali Deng, Minghui Liu, Ming Liu