Yuqi Song

According to our database, Yuqi Song authored at least 31 papers between 2017 and 2023.

Collaborative distances:

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

2023

Probabilistic generative transformer language models for generative design of molecules.

Lai Wei, Nihang Fu, Yuqi Song, Qian Wang, Jianjun Hu

J. Cheminformatics, December, 2023

Endoplasmic reticulum stress-related gene model predicts prognosis and guides therapies in lung adenocarcinoma.

Yuqi Song, Jianzun Ma, Linan Fang, Mingbo Tang, Xinliang Gao, Dongshan Zhu, Wei Liu

BMC Bioinform., December, 2023

Discovery of 2D Materials using Transformer Network-Based Generative Design.

Rongzhi Dong, Yuqi Song, Edirisuriya M. Dilanga Siriwardane, Jianjun Hu

Adv. Intell. Syst., December, 2023

Material transformers: deep learning language models for generative materials design.

Nihang Fu, Lai Wei, Yuqi Song, Qinyang Li, Rui Xin, Sadman Sadeed Omee, Rongzhi Dong, Edirisuriya M. Dilanga Siriwardane, Jianjun Hu

Mach. Learn. Sci. Technol., March, 2023

Towards Imbalanced Large Scale Multi-label Classification with Partially Annotated Labels.

Xin Zhang, Yuqi Song, Fei Zuo, Xiaofeng Wang

CoRR, 2023

Commit Message Can Help: Security Patch Detection in Open Source Software via Transformer.

Fei Zuo, Xin Zhang, Yuqi Song, Junghwan Rhee, Jicheng Fu

Proceedings of the 21st IEEE/ACIS International Conference on Software Engineering Research, 2023

Towards Imbalanced Large Scale Multi-label Classification with Partially Annotated Labels.

Xin Zhang, Yuqi Song, Fei Zuo, Zheqing Zhou, Xiaofeng Wang

Proceedings of the 21st IEEE/ACIS International Conference on Software Engineering Research, 2023

D-Score: A White-Box Diagnosis Score for CNNs Based on Mutation Operators.

Xin Zhang, Yuqi Song, Xiaofeng Wang, Fei Zuo

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022

Materials Transformers Language Models for Generative Materials Design: a benchmark study.

Nihang Fu, Lai Wei, Yuqi Song, Qinyang Li, Rui Xin, Sadman Sadeed Omee, Rongzhi Dong, Edirisuriya M. Dilanga Siriwardane, Jianjun Hu

CoRR, 2022

Crystal Transformer: Self-learning neural language model for Generative and Tinkering Design of Materials.

Lai Wei, Qinyang Li, Yuqi Song, Stanislav Stefanov, Edirisuriya M. Dilanga Siriwardane, Fanglin Chen, Jianjun Hu

CoRR, 2022

Rethinking CAM in Weakly-Supervised Semantic Segmentation.

Yuqi Song, Xiaojie Li, Canghong Shi, Shihao Feng, Xin Wang, Yong Luo, Xi Wu

IEEE Access, 2022

An Effective Approach for Multi-label Classification with Missing Labels.

Xin Zhang, Rabab Abdelfattah, Yuqi Song, Xiaofeng Wang

Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

Depth Monocular Estimation with Attention-based Encoder-Decoder Network from Single Image.

Xin Zhang, Rabab Abdelfattah, Yuqi Song, Samuel A. Dauchert, Xiaofeng Wang

Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

2021

MaterialsAtlas.org: A Materials Informatics Web App Platform for Materials Discovery and Survey of State-of-the-Art.

Jianjun Hu, Stanislav Stefanov, Yuqi Song, Sadman Sadeed Omee, Steph-Yves M. Louis, Edirisuriya M. Dilanga Siriwardane, Yong Zhao

CoRR, 2021

Active learning based generative design for the discovery of wide bandgap materials.

Rui Xin, Edirisuriya M. Dilanga Siriwardane, Yuqi Song, Yong Zhao, Steph-Yves M. Louis, Alireza Nasiri, Jianjun Hu

CoRR, 2021

2020

Diversity-Oriented Test Suite Generation for EFSM Model.

Ruilian Zhao, Weiwei Wang, Yuqi Song, Zheng Li

IEEE Trans. Reliab., 2020

Computational discovery of new 2D materials using deep learning generative models.

Yuqi Song, Edirisuriya M. Dilanga Siriwardane, Yong Zhao, Jianjun Hu

CoRR, 2020

Global Attention based Graph Convolutional Neural Networks for Improved Materials Property Prediction.

Steph-Yves M. Louis, Yong Zhao, Alireza Nasiri, Xiran Wong, Yuqi Song, Fei Liu, Jianjun Hu

CoRR, 2020

Machine Learning based prediction of noncentrosymmetric crystal materials.

Yuqi Song, Joseph Lindsay, Yong Zhao, Alireza Nasiri, Steph-Yves M. Louis, Jie Ling, Ming Hu, Jianjun Hu

CoRR, 2020

2019

Nonlinear Transformation for Multiple Auxiliary Information in Music Recommendation.

Junwei Zhang, Min Gao, Junliang Yu, Xinyi Wang, Yuqi Song, Qingyu Xiong

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Detection of Shilling Attack Based on Bayesian Model and User Embedding.

Fan Yang, Min Gao, Junliang Yu, Yuqi Song, Xinyi Wang

Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Social Recommendation Based on Implicit Friends Discovering Via Meta-Path.

Yuqi Song, Min Gao, Junliang Yu, Qingyu Xiong

Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Meta-Path and Matrix Factorization Based Shilling Detection for Collaborate Filtering.

Xin Zhang, Hong Xiang, Yuqi Song

Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2018

2017

A Social Recommender Based on Factorization and Distance Metric Learning.

Junliang Yu, Min Gao, Wenge Rong, Yuqi Song, Qingyu Xiong

IEEE Access, 2017

Connecting Factorization and Distance Metric Learning for Social Recommendations.

Junliang Yu, Min Gao, Yuqi Song, Zehua Zhao, Wenge Rong, Qingyu Xiong

Proceedings of the Knowledge Science, Engineering and Management, 2017

Make Users and Preferred Items Closer: Recommendation via Distance Metric Learning.

Junliang Yu, Min Gao, Wenge Rong, Yuqi Song, Qianqi Fang, Qingyu Xiong

Proceedings of the Neural Information Processing - 24th International Conference, 2017

PUD: Social Spammer Detection Based on PU Learning.

Yuqi Song, Min Gao, Junliang Yu, Wentao Li, Junhao Wen, Qingyu Xiong

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Impact of the Important Users on Social Recommendation System.

Zehua Zhao, Min Gao, Junliang Yu, Yuqi Song, Xinyi Wang, Min Zhang

Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2017

Integrating User Embedding and Collaborative Filtering for Social Recommendations.

Junliang Yu, Min Gao, Yuqi Song, Qianqi Fang, Wenge Rong, Qingyu Xiong

Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2017

PUED: A Social Spammer Detection Method Based on PU Learning and Ensemble Learning.

Yuqi Song, Min Gao, Junliang Yu, Wentao Li, Lulan Yu, Xinyu Xiao

Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2017

Collaborative Shilling Detection Bridging Factorization and User Embedding.

Tong Dou, Junliang Yu, Qingyu Xiong, Min Gao, Yuqi Song, Qianqi Fang

Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2017