Collaborative Shilling Detection Bridging Factorization and User Embedding. - Tong Dou; Junliang Yu; Qingyu Xiong; Min Gao 001; Yuqi Song; Qianqi Fang (CollaborateCom, 2017)

PUED: A Social Spammer Detection Method Based on PU Learning and Ensemble Learning. - Yuqi Song; Min Gao 001; Junliang Yu; Wentao Li 001; Lulan Yu; Xinyu Xiao (CollaborateCom, 2017)

Integrating User Embedding and Collaborative Filtering for Social Recommendations. - Junliang Yu; Min Gao 001; Yuqi Song; Qianqi Fang; Wenge Rong; Qingyu Xiong (CollaborateCom, 2017)

Impact of the Important Users on Social Recommendation System. - Zehua Zhao; Min Gao 001; Junliang Yu; Yuqi Song; Xinyi Wang 008; Min Zhang (CollaborateCom, 2017)

PUD: Social Spammer Detection Based on PU Learning. - Yuqi Song; Min Gao 001; Junliang Yu; Wentao Li 001; Junhao Wen 001; Qingyu Xiong (ICONIP (5), 2017)

Make Users and Preferred Items Closer: Recommendation via Distance Metric Learning. - Junliang Yu; Min Gao 001; Wenge Rong; Yuqi Song; Qianqi Fang; Qingyu Xiong (ICONIP (5), 2017)

Connecting Factorization and Distance Metric Learning for Social Recommendations. - Junliang Yu; Min Gao 001; Yuqi Song; Zehua Zhao; Wenge Rong; Qingyu Xiong (KSEM, 2017)

A Social Recommender Based on Factorization and Distance Metric Learning. - Junliang Yu; Min Gao 001; Wenge Rong; Yuqi Song; Qingyu Xiong (IEEE Access, 2017)

Meta-Path and Matrix Factorization Based Shilling Detection for Collaborate Filtering. - Xin Zhang; Hong Xiang; Yuqi Song (CollaborateCom, 2018)

Social Recommendation Based on Implicit Friends Discovering Via Meta-Path. - Yuqi Song; Min Gao 001; Junliang Yu; Qingyu Xiong (ICTAI, 2018)

Detection of Shilling Attack Based on Bayesian Model and User Embedding. - Fan Yang; Min Gao 001; Junliang Yu; Yuqi Song; Xinyi Wang 008 (ICTAI, 2018)

Nonlinear Transformation for Multiple Auxiliary Information in Music Recommendation. - Junwei Zhang 004; Min Gao 001; Junliang Yu; Xinyi Wang 008; Yuqi Song; Qingyu Xiong (IJCNN, 2019)

Machine Learning based prediction of noncentrosymmetric crystal materials. - Yuqi Song; Joseph Lindsay; Yong Zhao 014; Alireza Nasiri; Steph-Yves M. Louis; Jie Ling; Ming Hu; Jianjun Hu (CoRR, 2020)

Global Attention based Graph Convolutional Neural Networks for Improved Materials Property Prediction. - Steph-Yves M. Louis; Yong Zhao 014; Alireza Nasiri; Xiran Wong; Yuqi Song; Fei Liu; Jianjun Hu (CoRR, 2020)

Computational discovery of new 2D materials using deep learning generative models. - Yuqi Song; Edirisuriya M. Dilanga Siriwardane; Yong Zhao 014; Jianjun Hu (CoRR, 2020)

Diversity-Oriented Test Suite Generation for EFSM Model. - Ruilian Zhao; Weiwei Wang; Yuqi Song; Zheng Li 002 (IEEE Trans. Reliab., 2020)

Active learning based generative design for the discovery of wide bandgap materials. - Rui Xin; Edirisuriya M. Dilanga Siriwardane; Yuqi Song; Yong Zhao 014; Steph-Yves M. Louis; Alireza Nasiri; Jianjun Hu (CoRR, 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 014 (CoRR, 2021)

Depth Monocular Estimation with Attention-based Encoder-Decoder Network from Single Image. - Xin Zhang; Rabab Abdelfattah; Yuqi Song; Samuel A. Dauchert; Xiaofeng Wang 007 (HPCC/DSS/SmartCity/DependSys, 2022)

An Effective Approach for Multi-label Classification with Missing Labels. - Xin Zhang; Rabab Abdelfattah; Yuqi Song; Xiaofeng Wang (HPCC/DSS/SmartCity/DependSys, 2022)

Rethinking CAM in Weakly-Supervised Semantic Segmentation. - Yuqi Song; Xiaojie Li 001; Canghong Shi; Shihao Feng; Xin Wang 045; Yong Luo; Xi Wu 004 (IEEE Access, 2022)

Crystal Transformer: Self-learning neural language model for Generative and Tinkering Design of Materials. - Lai Wei 008; Qinyang Li; Yuqi Song; Stanislav Stefanov; Edirisuriya M. Dilanga Siriwardane; Fanglin Chen; Jianjun Hu (CoRR, 2022)

Materials Transformers Language Models for Generative Materials Design: a benchmark study. - Nihang Fu; Lai Wei 008; Yuqi Song; Qinyang Li; Rui Xin; Sadman Sadeed Omee; Rongzhi Dong; Edirisuriya M. Dilanga Siriwardane; Jianjun Hu (CoRR, 2022)

D-Score: A White-Box Diagnosis Score for CNNs Based on Mutation Operators. - Xin Zhang; Yuqi Song; Xiaofeng Wang; Fei Zuo (ADMA (5), 2023)

Towards Imbalanced Large Scale Multi-label Classification with Partially Annotated Labels. - Xin Zhang; Yuqi Song; Fei Zuo; Zheqing Zhou; Xiaofeng Wang (SERA, 2023)

Commit Message Can Help: Security Patch Detection in Open Source Software via Transformer. - Fei Zuo; Xin Zhang; Yuqi Song; Junghwan Rhee; Jicheng Fu (SERA, 2023)

Towards Imbalanced Large Scale Multi-label Classification with Partially Annotated Labels. - Xin Zhang; Yuqi Song; Fei Zuo; Xiaofeng Wang (CoRR, 2023)

Material transformers: deep learning language models for generative materials design. - Nihang Fu; Lai Wei 008; Yuqi Song; Qinyang Li; Rui Xin; Sadman Sadeed Omee; Rongzhi Dong; Edirisuriya M. Dilanga Siriwardane; Jianjun Hu (Mach. Learn. Sci. Technol., 2023)

Discovery of 2D Materials using Transformer Network-Based Generative Design. - Rongzhi Dong; Yuqi Song; Edirisuriya M. Dilanga Siriwardane; Jianjun Hu (Adv. Intell. Syst., 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., 2023)

Probabilistic generative transformer language models for generative design of molecules. - Lai Wei 008; Nihang Fu; Yuqi Song; Qian Wang; Jianjun Hu (J. Cheminformatics, 2023)

Foldiverse: Augmenting Paper Folding Physiotherapy for Children with Autism via Family-Centered Mixed Reality Design. - Jianan Johanna Liu; Danlin Huang; Yuqi Song; Shan Luo 004; Botao Amber Hu (CHI PLAY (Companion), 2024)

Attention-Based CNN for Enhanced Detection of Arsenic Exposure. - Reihaneh Maarefdoust; Douglas Currie; Bruce MacLeod; Yuqi Song; John Concannon; Samuel Frankel; Xin Zhang (MICAD, 2024)

A Robust Attention-based Convolutional Neural Network for Monocular Depth Estimation. - Yuqi Song; Xin Zhang; Bokai Yang; Fei Zuo; Xianshan Qu (SERA, 2024)

Revising the Problem of Partial Labels from the Perspective of CNNs' Robustness. - Xin Zhang; Yuqi Song; Wyatt McCurdy; Xiaofeng Wang; Fei Zuo (SERA, 2024)

AlphaCrystal-II: Distance matrix based crystal structure prediction using deep learning. - Yuqi Song; Rongzhi Dong; Lai Wei 008; Qin Li; Jianjun Hu (CoRR, 2024)

Demographics, Approaches, and Conceptions: Understanding Computer Science Learning. - Bokai Yang; Ling Hao; Yuqi Song; Xin Zhang; Fei Zuo; Xianshan Qu (J. Comput. Sci. Coll., 2024)

LARGE: A leadership perception framework for group recommendation. - Dingyi Gan; Min Gao 001; Wentao Li 001; Zongwei Wang 002; Linxin Guo; Feng Jiang 006; Yuqi Song (Expert Syst. Appl., 2025)

Deep Learning for Taxol Exposure Analysis: A New Cell Image Dataset and Attention-Based Baseline Model. - Sean Fletcher; Gabby Scott; Douglas Currie; Xin Zhang; Yuqi Song; Bruce MacLeod (CoRR, 2025)