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ORCIDSonghao Jiang
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2020 – today
- 2024
[j2]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): 169-178 (2024)- [c7]Wenxuan Lu, Songhao Jiang, Yijing Wang, Tianning Zang:
Hit the Nail on the Head: Parameter-Efficient Multi-task Tuning via Human Language Intervention. EMNLP (Findings) 2024: 8873-8885 - [c6]Xuefeng Liu, Chih-chan Tien, Peng Ding, Songhao Jiang, Rick L. Stevens:
Entropy-Reinforced Planning with Large Language Models for Drug Discovery. ICML 2024 - [c5]Yan Chu, Keshi Liu, Songhao Jiang, Xianghui Sun, Baoxu Wang, Zhengkui Wang:
Meta-pruning: Learning to Prune on Few-Shot Learning. KSEM (1) 2024: 74-85 - [c4]Songhao Jiang, Yan Chu, Tianxing Ma, Xiaochen Miao, Zhengkui Wang, Tianning Zang:
Vicinal Data Augmentation for Classification Model via Feature Weaken. KSEM (1) 2024: 334-346 - [i4]Xuefeng Liu, Chih-chan Tien, Peng Ding, Songhao Jiang, Rick L. Stevens:
Entropy-Reinforced Planning with Large Language Models for Drug Discovery. CoRR abs/2406.07025 (2024) - [i3]Xuefeng Liu, Songhao Jiang, Xiaotian Duan, Archit Vasan, Chong Liu, Chih-chan Tien, Heng Ma, Thomas S. Brettin, Fangfang Xia, Ian T. Foster, Rick L. Stevens:
Binding Affinity Prediction: From Conventional to Machine Learning-Based Approaches. CoRR abs/2410.00709 (2024) - 2023
- [c3]Yan Chu, Xianghui Sun, Songhao Jiang, Tianwen Xie, Zhengkui Wang, Wen Shan:
Imbalanced Few-Shot Learning Based on Meta-transfer Learning. ICANN (8) 2023: 357-369 - [c2]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: 5085-5094 - 2022
- [c1]Jian Han, Zhonghua Wang, Songhao Jiang, Tianning Zang:
Malicious Blockchain Domain Detection Based on Heterogeneous Information Network. GLOBECOM 2022: 2597-2602 - [i2]Songhao Jiang, Yan Chu, Tianxing Ma, Tianning Zang:
Feature Weaken: Vicinal Data Augmentation for Classification. CoRR abs/2211.10944 (2022) - 2021
- [j1]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): 252 (2021) - 2020
- [i1]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 abs/2011.12466 (2020)
Coauthor Index
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