Yuqi Song

Orcid: 0009-0008-3790-1116

According to our database1, Yuqi Song authored at least 56 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Generative AI and Software Development Job Security: Challenges and Insights for Computing Education.
J. Comput. Sci. Coll., April, 2026

Towards post-quantum secure and practical privacy-preserving top-k maximum inner product search.
Future Gener. Comput. Syst., 2026

AgentAttack : LLM agents for multi-strategy shilling attacks in recommenders.
Expert Syst. Appl., 2026

PALM: Prototype-Aligned Label Manifold Learning for Multi-Label Classification with Partial Annotations.
Proceedings of the 2026 14th International Symposium on Digital Forensics and Security (ISDFS), 2026

Efficient Human Action Recognition with Mixed-Precision V-JEPA on Embedded Devices.
Proceedings of the 2026 9th International Conference on Information and Computer Technologies, 2026

RCDN: Real-Centered Detection Network for Robust Face Forgery Identification.
Proceedings of the 2026 9th International Conference on Information and Computer Technologies, 2026

2025
A Dual-Branch CNN for Robust Detection of AI-Generated Facial Forgeries.
CoRR, October, 2025

Deep Learning for Taxol Exposure Analysis: A New Cell Image Dataset and Attention-Based Baseline Model.
CoRR, August, 2025

LARGE: A leadership perception framework for group recommendation.
Expert Syst. Appl., 2025

Analyzing and Predicting Employee Turnover in the Restaurant Industry.
Proceedings of the 23rd IEEE/ACIS International Conference on Software Engineering Research, 2025

XcepKNN: Leveraging Hybrid Deep Learning for Enhanced MRI-Based Brain Tumor Classification.
Proceedings of the 23rd IEEE/ACIS International Conference on Software Engineering Research, 2025

An Empirical Study on the Multi-Stage Nature of APT Attacks in Cloud Computing.
Proceedings of the 22nd IEEE International Conference on Mobile Ad-Hoc and Smart Systems, 2025

A Review of Vision-Based Depth Estimation: Current Methods and Future Directions.
Proceedings of the 22nd IEEE International Conference on Mobile Ad-Hoc and Smart Systems, 2025

An Efficient CNN with Adaptive Loss for Binocular Depth Estimation.
Proceedings of the 22nd IEEE International Conference on Mobile Ad-Hoc and Smart Systems, 2025

Interpretable Tile-Based Classification of Paclitaxel Exposure.
Proceedings of the Advances in Visual Computing - 20th International Symposium, 2025

PLB-Net: A Multi-Scale Attention-Based Network for Binocular Depth Estimation with Partial Labels.
Proceedings of the 8th International Conference on Information and Computer Technologies, 2025

2024
Demographics, Approaches, and Conceptions: Understanding Computer Science Learning.
J. Comput. Sci. Coll., 2024

AlphaCrystal-II: Distance matrix based crystal structure prediction using deep learning.
CoRR, 2024

Gravity assist space pruning and global optimization of spacecraft trajectories for solar system boundary exploration.
Complex Intell. Syst., 2024

Autonomous imaging scheduling networks of small celestial bodies flyby based on deep reinforcement learning.
Complex Intell. Syst., 2024

Revising the Problem of Partial Labels from the Perspective of CNNs' Robustness.
Proceedings of the 22nd IEEE/ACIS International Conference on Software Engineering Research, 2024

A Robust Attention-based Convolutional Neural Network for Monocular Depth Estimation.
Proceedings of the 22nd IEEE/ACIS International Conference on Software Engineering Research, 2024

Attention-Based CNN for Enhanced Detection of Arsenic Exposure.
Proceedings of 2024 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2024

Foldiverse: Augmenting Paper Folding Physiotherapy for Children with Autism via Family-Centered Mixed Reality Design.
Proceedings of the Companion Proceedings of the 2024 Annual Symposium on Computer-Human Interaction in Play, 2024

2023
Probabilistic generative transformer language models for generative design of molecules.
J. Cheminformatics, December, 2023

Endoplasmic reticulum stress-related gene model predicts prognosis and guides therapies in lung adenocarcinoma.
BMC Bioinform., December, 2023

Discovery of 2D Materials using Transformer Network-Based Generative Design.
Adv. Intell. Syst., December, 2023

Material transformers: deep learning language models for generative materials design.
Mach. Learn. Sci. Technol., March, 2023

Towards Imbalanced Large Scale Multi-label Classification with Partially Annotated Labels.
CoRR, 2023

D-Score: A White-Box Diagnosis Score for CNNs Based on Mutation Operators.
CoRR, 2023

Commit Message Can Help: Security Patch Detection in Open Source Software via Transformer.
Proceedings of the 21st IEEE/ACIS International Conference on Software Engineering Research, 2023

Towards Imbalanced Large Scale Multi-label Classification with Partially Annotated Labels.
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.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022
Materials Transformers Language Models for Generative Materials Design: a benchmark study.
CoRR, 2022

Crystal Transformer: Self-learning neural language model for Generative and Tinkering Design of Materials.
CoRR, 2022

Rethinking CAM in Weakly-Supervised Semantic Segmentation.
IEEE Access, 2022

An Effective Approach for Multi-label Classification with Missing Labels.
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.
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.
CoRR, 2021

Active learning based generative design for the discovery of wide bandgap materials.
CoRR, 2021

2020
Diversity-Oriented Test Suite Generation for EFSM Model.
IEEE Trans. Reliab., 2020

Computational discovery of new 2D materials using deep learning generative models.
CoRR, 2020

Global Attention based Graph Convolutional Neural Networks for Improved Materials Property Prediction.
CoRR, 2020

Machine Learning based prediction of noncentrosymmetric crystal materials.
CoRR, 2020

2019
Nonlinear Transformation for Multiple Auxiliary Information in Music Recommendation.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
Detection of Shilling Attack Based on Bayesian Model and User Embedding.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Social Recommendation Based on Implicit Friends Discovering Via Meta-Path.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Meta-Path and Matrix Factorization Based Shilling Detection for Collaborate Filtering.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2018

2017
A Social Recommender Based on Factorization and Distance Metric Learning.
IEEE Access, 2017

Connecting Factorization and Distance Metric Learning for Social Recommendations.
Proceedings of the Knowledge Science, Engineering and Management, 2017

Make Users and Preferred Items Closer: Recommendation via Distance Metric Learning.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

PUD: Social Spammer Detection Based on PU Learning.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Impact of the Important Users on Social Recommendation System.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2017

Integrating User Embedding and Collaborative Filtering for Social Recommendations.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2017

PUED: A Social Spammer Detection Method Based on PU Learning and Ensemble Learning.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2017

Collaborative Shilling Detection Bridging Factorization and User Embedding.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2017


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