Songhao Jiang - RankMe

24 papers A* 2B 1Journal 13Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Rethinking ANN-based Retrieval: Multifaceted Learnable Index for Large-scale Recommendation System. CoRR 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
2025	—	`conf`	Bidirectional Hierarchical Protein Multi-Modal Representation Learning. MLHC Xuefeng Liu, Songhao Jiang, Chih-chan Tien, Jinbo Xu, Rick L. Stevens
2025	J	`jnl`	Bidirectional Hierarchical Protein Multi-Modal Representation Learning. CoRR Xuefeng Liu, Songhao Jiang, Chih-chan Tien, Jinbo Xu, Rick Stevens
2025	J	`jnl`	ControllableGPT: A Ground-Up Designed Controllable GPT for Molecule Optimization. CoRR Xuefeng Liu, Songhao Jiang, Bo Li, Rick Stevens
2025	J	`jnl`	DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization. CoRR Xuefeng Liu, Songhao Jiang, Siyu Chen, Zhuoran Yang, Yuxin Chen, Ian T. Foster, Rick Stevens
2025	J	`jnl`	FragmentGPT: A Unified GPT Model for Fragment Growing, Linking, and Merging in Molecular Design. CoRR Xuefeng Liu, Songhao Jiang, Qinan Huang, Tinson Xu, Ian T. Foster, Mengdi Wang, Hening Lin, Rick Stevens
2025	—	`conf`	Global Eye: Breaking the "Fixed Thinking Pattern" during the Instruction Expansion Process. ACL (1) Wenxuan Lu, Wei Liu, Jian Luan, Bin Wang, Songhao Jiang, Tianning Zang
2025	J	`jnl`	Monte Carlo Tree Diffusion with Multiple Experts for Protein Design. CoRR Xuefeng Liu, Mingxuan Cao, Songhao Jiang, Xiao Luo, Xiaotian Duan, Mengdi Wang, Tobin R. Sosnick, Jinbo Xu, Rick Stevens
2025	—	`conf`	ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization. MLHC Xuefeng Liu, Songhao Jiang, Ian T. Foster, Jinbo Xu, Rick L. Stevens
2025	J	`jnl`	ScaffoldGPT: A Scaffold-based Large Language Model for Drug Improvement. CoRR Xuefeng Liu, Songhao Jiang, Rick Stevens
2024	J	`jnl`	Binding Affinity Prediction: From Conventional to Machine Learning-Based Approaches. CoRR 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
2024	J	`jnl`	Energy and Cache Aware Routing for Socially Aware Networking in the Big Data Environment. J. Signal Process. Syst. Min Deng, Songhao Jiang, Fang Xu, Chunmeng Yang, Na Yang, Yuanlin Lyu, Zenggang Xiong, Manzoor Ahmed
2024	A*	`conf`	Entropy-Reinforced Planning with Large Language Models for Drug Discovery. ICML Xuefeng Liu, Chih-chan Tien, Peng Ding, Songhao Jiang, Rick L. Stevens
2024	J	`jnl`	Entropy-Reinforced Planning with Large Language Models for Drug Discovery. CoRR Xuefeng Liu, Chih-chan Tien, Peng Ding, Songhao Jiang, Rick L. Stevens
2024	—	`conf`	Hit the Nail on the Head: Parameter-Efficient Multi-task Tuning via Human Language Intervention. EMNLP (Findings) Wenxuan Lu, Songhao Jiang, Yijing Wang, Tianning Zang
2024	—	`conf`	Meta-pruning: Learning to Prune on Few-Shot Learning. KSEM (1) Yan Chu, Keshi Liu, Songhao Jiang, Xianghui Sun, Baoxu Wang, Zhengkui Wang
2024	—	`conf`	Vicinal Data Augmentation for Classification Model via Feature Weaken. KSEM (1) Songhao Jiang, Yan Chu, Tianxing Ma, Xiaochen Miao, Zhengkui Wang, Tianning Zang
2023	A*	`conf`	Explainable Text Classification via Attentive and Targeted Mixing Data Augmentation. IJCAI Songhao Jiang, Yan Chu, Zhengkui Wang, Tianxing Ma, Hanlin Wang, Wenxuan Lu, Tianning Zang, Bo Wang
2023	—	`conf`	Imbalanced Few-Shot Learning Based on Meta-transfer Learning. ICANN (8) Yan Chu, Xianghui Sun, Songhao Jiang, Tianwen Xie, Zhengkui Wang, Wen Shan
2022	J	`jnl`	Feature Weaken: Vicinal Data Augmentation for Classification. CoRR Songhao Jiang, Yan Chu, Tianxing Ma, Tianning Zang
2022	B	`conf`	Malicious Blockchain Domain Detection Based on Heterogeneous Information Network. GLOBECOM Jian Han, Zhonghua Wang, Songhao Jiang, Tianning Zang
2021	J	`jnl`	Learning curves for drug response prediction in cancer cell lines. BMC Bioinform. 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
2020	J	`jnl`	Learning Curves for Drug Response Prediction in Cancer Cell Lines. CoRR 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
2017	—	`conf`	A Shortest-Response-Time Assured Microservices Selection Framework. ISPA/IUCC Xiaodong Liu, Songhao Jiang, Xiaofang Zhao, Yan Jin