Songhao Jiang

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 10

Top Topics

Transfer Learning

Top Venues

Publications

Min Deng, Songhao Jiang, Fang Xu, Chunmeng Yang, Na Yang, Yuanlin Lyu, Zenggang Xiong, Manzoor Ahmed
Energy and Cache Aware Routing for Socially Aware Networking in the Big Data Environment. J. Signal Process. Syst. 96 (2) (2024)
Songhao Jiang, Yan Chu, Tianxing Ma, Xiaochen Miao, Zhengkui Wang, Tianning Zang
Vicinal Data Augmentation for Classification Model via Feature Weaken. KSEM (1) (2024)
Xuefeng Liu, Chih-chan Tien, Peng Ding, Songhao Jiang, Rick L. Stevens
Entropy-Reinforced Planning with Large Language Models for Drug Discovery. CoRR (2024)
Yan Chu, Keshi Liu, Songhao Jiang, Xianghui Sun, Baoxu Wang, Zhengkui Wang
Meta-pruning: Learning to Prune on Few-Shot Learning. KSEM (1) (2024)
Songhao Jiang, Yan Chu, Zhengkui Wang, Tianxing Ma, Hanlin Wang, Wenxuan Lu, Tianning Zang, Bo Wang
Explainable Text Classification via Attentive and Targeted Mixing Data Augmentation. IJCAI (2023)
Yan Chu, Xianghui Sun, Songhao Jiang, Tianwen Xie, Zhengkui Wang, Wen Shan
Imbalanced Few-Shot Learning Based on Meta-transfer Learning. ICANN (8) (2023)
Songhao Jiang, Yan Chu, Tianxing Ma, Tianning Zang
Feature Weaken: Vicinal Data Augmentation for Classification. CoRR (2022)
Jian Han, Zhonghua Wang, Songhao Jiang, Tianning Zang
Malicious Blockchain Domain Detection Based on Heterogeneous Information Network. GLOBECOM (2022)
Alexander Partin, Thomas S. Brettin, Yvonne A. Evrard, Yitan Zhu, Hyun Seung Yoo, Fangfang Xia, Songhao Jiang, Austin Clyde, Maulik Shukla, Michael Fonstein, James H. Doroshow, Rick L. Stevens
Learning curves for drug response prediction in cancer cell lines. BMC Bioinform. 22 (1) (2021)
Alexander Partin, Thomas S. Brettin, Yvonne A. Evrard, Yitan Zhu, Hyun Seung Yoo, Fangfang Xia, Songhao Jiang, Austin Clyde, Maulik Shukla, Michael Fonstein, James H. Doroshow, Rick Stevens
Learning Curves for Drug Response Prediction in Cancer Cell Lines. CoRR (2020)