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