2022
Views Meet Labels: Personalized Relation Refinement Network for Multiview Multilabel Learning.
IEEE Multim., 2022
LAMB: A novel algorithm of label collaboration based multi-label learning.
Intell. Data Anal., 2022
Explanation-based Counterfactual Retraining(XCR): A Calibration Method for Black-box Models.
CoRR, 2022
Collaboration based multi-modal multi-label learning.
Appl. Intell., 2022
FIXC: A Method for Data Distribution Shifts Calibration via Feature Importance.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022
Tailor Versatile Multi-Modal Learning for Multi-Label Emotion Recognition.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Semi-supervised Learning with Multi-Head Co-Training.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
SenU-PTM: a novel phrase-based topic model for short-text topic discovery by exploiting word embeddings.
Data Technol. Appl., 2021
Polysemy Needs Attention: Short-Text Topic Discovery With Global and Multi-Sense Information.
IEEE Access, 2021
Transformer based Multi-output Regression Learning for Wastewater Treatment.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021
Label-Specific Alignment with Adversarial Multi-View Representation.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021
Partial Modal Conditioned GANs for Multi-modal Multi-label Learning with Arbitrary Modal-Missing.
Proceedings of the Database Systems for Advanced Applications, 2021
Relation-Aware Alignment Attention Network for Multi-view Multi-label Learning.
Proceedings of the Database Systems for Advanced Applications, 2021
2020
Fast core pricing algorithms for path auction.
Auton. Agents Multi Agent Syst., 2020
Unsupervised Domain Adaptation with Joint Domain-Adversarial Reconstruction Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020
Rethinking Modal-oriented Label Correlations for Multi-modal Multi-label Learning.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Common and Discriminative Semantic Pursuit for Multi-Modal Multi-Label Learning.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
Homogeneous Online Transfer Learning with Online Distribution Discrepancy Minimization.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
Multi-view Multi-label Learning with Dual-Attention Networks for Stroke Screen.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
Discriminative Multi-label Model Reuse for Multi-label Learning.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020
2019
GADGET: Using Gated GRU for Biomedical Event Trigger Detection.
Proceedings of the International Joint Conference on Neural Networks, 2019
Many Could be Better Than All: A Novel Instance-Oriented Algorithm for Multi-modal Multi-label Problem.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019
Win-win Cooperation: A Novel Dual-Modal Dual-Label Algorithm for Membrane Proteins Function Pre-screen.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
2018
Optimal Constraint Collection for Core-Selecting Path Mechanism.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018