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ORCIDYuqi Song
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2020 – today
- 2025
[j8]Dingyi Gan
, Min Gao, Wentao Li, Zongwei Wang, Linxin Guo, Feng Jiang, Yuqi Song:
LARGE: A leadership perception framework for group recommendation. Expert Syst. Appl. 260: 125416 (2025)- 2024
- [c19]Jianan Johanna Liu, Danlin Huang, Yuqi Song, Shan Luo, Botao Amber Hu:
Foldiverse: Augmenting Paper Folding Physiotherapy for Children with Autism via Family-Centered Mixed Reality Design. CHI PLAY (Companion) 2024: 378-383 - [c18]Xin Zhang, Yuqi Song, Wyatt McCurdy, Xiaofeng Wang, Fei Zuo:
Revising the Problem of Partial Labels from the Perspective of CNNs' Robustness. SERA 2024: 88-93 - [c17]Yuqi Song, Xin Zhang, Bokai Yang, Fei Zuo, Xianshan Qu:
A Robust Attention-based Convolutional Neural Network for Monocular Depth Estimation. SERA 2024: 94-99 - [i15]Yuqi Song, Rongzhi Dong, Lai Wei, Qin Li, Jianjun Hu:
AlphaCrystal-II: Distance matrix based crystal structure prediction using deep learning. CoRR abs/2404.04810 (2024) - [i14]Xin Zhang, Yuqi Song, Wyatt McCurdy, Xiaofeng Wang, Fei Zuo:
Revising the Problem of Partial Labels from the Perspective of CNNs' Robustness. CoRR abs/2407.17630 (2024) - 2023
- [j7]Rongzhi Dong, Yuqi Song, Edirisuriya M. Dilanga Siriwardane, Jianjun Hu:
Discovery of 2D Materials using Transformer Network-Based Generative Design. Adv. Intell. Syst. 5(12) (2023) - [j6]Yuqi Song, Jianzun Ma, Linan Fang, Mingbo Tang, Xinliang Gao, Dongshan Zhu, Wei Liu:
Endoplasmic reticulum stress-related gene model predicts prognosis and guides therapies in lung adenocarcinoma. BMC Bioinform. 24(1): 255 (2023) - [j5]Lai Wei, Nihang Fu, Yuqi Song, Qian Wang, Jianjun Hu:
Probabilistic generative transformer language models for generative design of molecules. J. Cheminformatics 15(1): 88 (2023) - [j4]Nihang Fu, Lai Wei, Yuqi Song, Qinyang Li, Rui Xin, Sadman Sadeed Omee, Rongzhi Dong, Edirisuriya M. Dilanga Siriwardane, Jianjun Hu:
Material transformers: deep learning language models for generative materials design. Mach. Learn. Sci. Technol. 4(1): 15001 (2023) - [c16]Xin Zhang, Yuqi Song, Xiaofeng Wang, Fei Zuo:
D-Score: A White-Box Diagnosis Score for CNNs Based on Mutation Operators. ADMA (5) 2023: 343-358 - [c15]Xin Zhang, Yuqi Song, Fei Zuo, Zheqing Zhou, Xiaofeng Wang:
Towards Imbalanced Large Scale Multi-label Classification with Partially Annotated Labels. SERA 2023: 195-200 - [c14]Fei Zuo, Xin Zhang, Yuqi Song, Junghwan Rhee, Jicheng Fu:
Commit Message Can Help: Security Patch Detection in Open Source Software via Transformer. SERA 2023: 345-351 - [i13]Rongzhi Dong, Yuqi Song, Edirisuriya M. Dilanga Siriwardane, Jianjun Hu:
Discovery of 2D materials using Transformer Network based Generative Design. CoRR abs/2301.05824 (2023) - [i12]Xin Zhang, Yuqi Song, Xiaofeng Wang, Fei Zuo:
D-Score: A White-Box Diagnosis Score for CNNs Based on Mutation Operators. CoRR abs/2304.00697 (2023) - [i11]Xin Zhang, Yuqi Song, Fei Zuo, Xiaofeng Wang:
Towards Imbalanced Large Scale Multi-label Classification with Partially Annotated Labels. CoRR abs/2308.00166 (2023) - 2022
- [j3]Yuqi Song, Xiaojie Li, Canghong Shi, Shihao Feng, Xin Wang, Yong Luo, Xi Wu:
Rethinking CAM in Weakly-Supervised Semantic Segmentation. IEEE Access 10: 126440-126450 (2022) - [c13]Xin Zhang, Rabab Abdelfattah, Yuqi Song, Xiaofeng Wang:
An Effective Approach for Multi-label Classification with Missing Labels. HPCC/DSS/SmartCity/DependSys 2022: 1713-1720 - [c12]Xin Zhang, Rabab Abdelfattah, Yuqi Song, Samuel A. Dauchert, Xiaofeng Wang:
Depth Monocular Estimation with Attention-based Encoder-Decoder Network from Single Image. HPCC/DSS/SmartCity/DependSys 2022: 1795-1800 - [i10]Lai Wei, Qinyang Li, Yuqi Song, Stanislav Stefanov, Edirisuriya M. Dilanga Siriwardane, Fanglin Chen, Jianjun Hu:
Crystal Transformer: Self-learning neural language model for Generative and Tinkering Design of Materials. CoRR abs/2204.11953 (2022) - [i9]Nihang Fu, Lai Wei, Yuqi Song, Qinyang Li, Rui Xin, Sadman Sadeed Omee, Rongzhi Dong, Edirisuriya M. Dilanga Siriwardane, Jianjun Hu:
Materials Transformers Language Models for Generative Materials Design: a benchmark study. CoRR abs/2206.13578 (2022) - [i8]Lai Wei, Nihang Fu, Yuqi Song, Qian Wang, Jianjun Hu:
Probabilistic Generative Transformer Language models for Generative Design of Molecules. CoRR abs/2209.09406 (2022) - [i7]Xin Zhang, Rabab Abdelfattah, Yuqi Song, Samuel A. Dauchert, Xiaofeng Wang:
Depth Monocular Estimation with Attention-based Encoder-Decoder Network from Single Image. CoRR abs/2210.13646 (2022) - [i6]Xin Zhang, Rabab Abdelfattah, Yuqi Song, Xiaofeng Wang:
An Effective Approach for Multi-label Classification with Missing Labels. CoRR abs/2210.13651 (2022) - 2021
- [i5]Rui Xin, Edirisuriya M. Dilanga Siriwardane, Yuqi Song, Yong Zhao, Steph-Yves M. Louis, Alireza Nasiri, Jianjun Hu:
Active learning based generative design for the discovery of wide bandgap materials. CoRR abs/2103.00608 (2021) - [i4]Jianjun Hu, Stanislav Stefanov, Yuqi Song, Sadman Sadeed Omee, Steph-Yves M. Louis, Edirisuriya M. Dilanga Siriwardane, Yong Zhao:
MaterialsAtlas.org: A Materials Informatics Web App Platform for Materials Discovery and Survey of State-of-the-Art. CoRR abs/2109.04007 (2021) - 2020
- [j2]Ruilian Zhao, Weiwei Wang, Yuqi Song, Zheng Li:
Diversity-Oriented Test Suite Generation for EFSM Model. IEEE Trans. Reliab. 69(2): 611-631 (2020) - [i3]Yuqi Song, Joseph Lindsay, Yong Zhao, Alireza Nasiri, Steph-Yves M. Louis, Jie Ling, Ming Hu, Jianjun Hu:
Machine Learning based prediction of noncentrosymmetric crystal materials. CoRR abs/2002.11295 (2020) - [i2]Steph-Yves M. Louis, Yong Zhao, Alireza Nasiri, Xiran Wong, Yuqi Song, Fei Liu, Jianjun Hu:
Global Attention based Graph Convolutional Neural Networks for Improved Materials Property Prediction. CoRR abs/2003.13379 (2020) - [i1]Yuqi Song, Edirisuriya M. Dilanga Siriwardane, Yong Zhao, Jianjun Hu:
Computational discovery of new 2D materials using deep learning generative models. CoRR abs/2012.09314 (2020)
2010 – 2019
- 2019
- [c11]Junwei Zhang, Min Gao, Junliang Yu, Xinyi Wang, Yuqi Song, Qingyu Xiong:
Nonlinear Transformation for Multiple Auxiliary Information in Music Recommendation. IJCNN 2019: 1-8 - 2018
- [c10]Xin Zhang, Hong Xiang, Yuqi Song:
Meta-Path and Matrix Factorization Based Shilling Detection for Collaborate Filtering. CollaborateCom 2018: 3-16 - [c9]Yuqi Song, Min Gao, Junliang Yu, Qingyu Xiong:
Social Recommendation Based on Implicit Friends Discovering Via Meta-Path. ICTAI 2018: 197-204 - [c8]Fan Yang, Min Gao, Junliang Yu, Yuqi Song, Xinyi Wang:
Detection of Shilling Attack Based on Bayesian Model and User Embedding. ICTAI 2018: 639-646 - 2017
- [j1]Junliang Yu, Min Gao, Wenge Rong, Yuqi Song, Qingyu Xiong:
A Social Recommender Based on Factorization and Distance Metric Learning. IEEE Access 5: 21557-21566 (2017) - [c7]Yuqi Song, Min Gao, Junliang Yu, Wentao Li, Lulan Yu, Xinyu Xiao:
PUED: A Social Spammer Detection Method Based on PU Learning and Ensemble Learning. CollaborateCom 2017: 143-152 - [c6]Zehua Zhao, Min Gao, Junliang Yu, Yuqi Song, Xinyi Wang, Min Zhang:
Impact of the Important Users on Social Recommendation System. CollaborateCom 2017: 425-434 - [c5]Tong Dou, Junliang Yu, Qingyu Xiong, Min Gao, Yuqi Song, Qianqi Fang:
Collaborative Shilling Detection Bridging Factorization and User Embedding. CollaborateCom 2017: 459-469 - [c4]Junliang Yu, Min Gao, Yuqi Song, Qianqi Fang, Wenge Rong, Qingyu Xiong:
Integrating User Embedding and Collaborative Filtering for Social Recommendations. CollaborateCom 2017: 470-479 - [c3]Yuqi Song, Min Gao, Junliang Yu, Wentao Li, Junhao Wen, Qingyu Xiong:
PUD: Social Spammer Detection Based on PU Learning. ICONIP (5) 2017: 177-185 - [c2]Junliang Yu, Min Gao, Wenge Rong, Yuqi Song, Qianqi Fang, Qingyu Xiong:
Make Users and Preferred Items Closer: Recommendation via Distance Metric Learning. ICONIP (5) 2017: 297-305 - [c1]Junliang Yu, Min Gao, Yuqi Song, Zehua Zhao, Wenge Rong, Qingyu Xiong:
Connecting Factorization and Distance Metric Learning for Social Recommendations. KSEM 2017: 389-396
Coauthor Index
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