Songhao Jiang

According to our database, Songhao Jiang authored at least 20 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Rethinking ANN-based Retrieval: Multifaceted Learnable Index for Large-scale Recommendation System.

Jiang Zhang, Yubo Wang, Wei Chang, Lu Han, Xingying Cheng, Feng Zhang, Min Li, Songhao Jiang, Wei Zheng, Harry Tran, Zhen Wang, Lei Chen, Yueming Wang, Benyu Zhang, Xiangjun Fan, Bi Xue, Qifan Wang

CoRR, February, 2026

2025

Monte Carlo Tree Diffusion with Multiple Experts for Protein Design.

Xuefeng Liu, Mingxuan Cao, Songhao Jiang, Xiao Luo, Xiaotian Duan, Mengdi Wang, Tobin R. Sosnick, Jinbo Xu, Rick Stevens

CoRR, September, 2025

FragmentGPT: A Unified GPT Model for Fragment Growing, Linking, and Merging in Molecular Design.

Xuefeng Liu, Songhao Jiang, Qinan Huang, Tinson Xu, Ian T. Foster, Mengdi Wang, Hening Lin, Rick Stevens

CoRR, September, 2025

ControllableGPT: A Ground-Up Designed Controllable GPT for Molecule Optimization.

Xuefeng Liu, Songhao Jiang, Bo Li, Rick Stevens

CoRR, February, 2025

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization.

Xuefeng Liu, Songhao Jiang, Siyu Chen, Zhuoran Yang, Yuxin Chen, Ian T. Foster, Rick Stevens

CoRR, February, 2025

ScaffoldGPT: A Scaffold-based Large Language Model for Drug Improvement.

Xuefeng Liu, Songhao Jiang, Rick Stevens

CoRR, February, 2025

Bidirectional Hierarchical Protein Multi-Modal Representation Learning.

Xuefeng Liu, Songhao Jiang, Chih-chan Tien, Jinbo Xu, Rick L. Stevens

Proceedings of the Machine Learning for Healthcare Conference (MLHC 2025), 2025

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization.

Xuefeng Liu, Songhao Jiang, Ian T. Foster, Jinbo Xu, Rick L. Stevens

Proceedings of the Machine Learning for Healthcare Conference (MLHC 2025), 2025

Global Eye: Breaking the "Fixed Thinking Pattern" during the Instruction Expansion Process.

Wenxuan Lu, Wei Liu, Jian Luan, Bin Wang, Songhao Jiang, Tianning Zang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Energy and Cache Aware Routing for Socially Aware Networking in the Big Data Environment.

Min Deng, Songhao Jiang, Fang Xu, Chunmeng Yang, Na Yang, Yuanlin Lyu, Zenggang Xiong, Manzoor Ahmed

J. Signal Process. Syst., February, 2024

Binding Affinity Prediction: From Conventional to Machine Learning-Based Approaches.

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

CoRR, 2024

Vicinal Data Augmentation for Classification Model via Feature Weaken.

Songhao Jiang, Yan Chu, Tianxing Ma, Xiaochen Miao, Zhengkui Wang, Tianning Zang

Proceedings of the Knowledge Science, Engineering and Management, 2024

Meta-pruning: Learning to Prune on Few-Shot Learning.

Yan Chu, Keshi Liu, Songhao Jiang, Xianghui Sun, Baoxu Wang, Zhengkui Wang

Proceedings of the Knowledge Science, Engineering and Management, 2024

Entropy-Reinforced Planning with Large Language Models for Drug Discovery.

Xuefeng Liu, Chih-chan Tien, Peng Ding, Songhao Jiang, Rick L. Stevens

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Hit the Nail on the Head: Parameter-Efficient Multi-task Tuning via Human Language Intervention.

Wenxuan Lu, Songhao Jiang, Yijing Wang, Tianning Zang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Explainable Text Classification via Attentive and Targeted Mixing Data Augmentation.

Songhao Jiang, Yan Chu, Zhengkui Wang, Tianxing Ma, Hanlin Wang, Wenxuan Lu, Tianning Zang, Bo Wang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Imbalanced Few-Shot Learning Based on Meta-transfer Learning.

Yan Chu, Xianghui Sun, Songhao Jiang, Tianwen Xie, Zhengkui Wang, Wen Shan

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023

2022

Feature Weaken: Vicinal Data Augmentation for Classification.

Songhao Jiang, Yan Chu, Tianxing Ma, Tianning Zang

CoRR, 2022

Malicious Blockchain Domain Detection Based on Heterogeneous Information Network.

Jian Han, Zhonghua Wang, Songhao Jiang, Tianning Zang

Proceedings of the IEEE Global Communications Conference, 2022

2021

Learning curves for drug response prediction in cancer cell lines.

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

BMC Bioinform., 2021