Han Liu
Orcid: 0000-0001-6921-2050Affiliations:
- Dalian University of Technology, School of Software, Dalian, China
- Hong Kong Polytechnic University, Department of Computing, Hong Kong (former)
According to our database1,
Han Liu
authored at least 64 papers
between 2014 and 2024.
Collaborative distances:
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Bibliography
2024
IIFDD: Intra and inter-modal fusion for depression detection with multi-modal information from Internet of Medical Things.
Inf. Fusion, February, 2024
CoRR, 2024
Two Heads Are Better Than One: Integrating Knowledge from Knowledge Graphs and Large Language Models for Entity Alignment.
CoRR, 2024
Label Hierarchical Structure-Aware Multi-Label Few-Shot Intent Detection via Prompt Tuning.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Automated Fusion of Multimodal Electronic Health Records for Better Medical Predictions.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
Boosting Zero-Shot Node Classification via Dependency Capture and Discriminative Feature Learning.
Proceedings of the IEEE International Conference on Acoustics, 2024
Few-Shot Intent Detection with Label-Enhanced Hierarchical Feature Learning and Graph Neural Networks.
Proceedings of the ACM Turing Award Celebration Conference 2024, 2024
SELP: A Semantically-Driven Approach for Separated and Accurate Class Prototypes in Few-Shot Text Classification.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
IEEE Trans. Knowl. Data Eng., December, 2023
Pattern Recognit., June, 2023
BCRNet: Bidirectional contrastive representation network for deep multimodal learning of exercise representations in online education systems.
Neurocomputing, 2023
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
VLATTACK: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Knowledge-Aware Graph Convolutional Network with Utterance-Specific Window Search for Emotion Recognition In Conversations.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
SSPAttack: A Simple and Sweet Paradigm for Black-Box Hard-Label Textual Adversarial Attack.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Pattern Recognit., 2022
Personalized knowledge-aware recommendation with collaborative and attentive graph convolutional networks.
Pattern Recognit., 2022
Neural Networks, 2022
A Simple Meta-learning Paradigm for Zero-shot Intent Classification with Mixture Attention Mechanism.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Label-enhanced Prototypical Network with Contrastive Learning for Multi-label Few-shot Aspect Category Detection.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the 26th International Conference on Pattern Recognition, 2022
Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, 2022
2021
RPC: Representative possible world based consistent clustering algorithm for uncertain data.
Comput. Commun., 2021
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021
Dimensionwise Separable 2-D Graph Convolution for Unsupervised and Semi-Supervised Learning on Graphs.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
An Explicit-Joint and Supervised-Contrastive Learning Framework for Few-Shot Intent Classification and Slot Filling.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Posterior Promoted GAN With Distribution Discriminator for Unsupervised Image Synthesis.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
Unknown Intent Detection Using Gaussian Mixture Model with an Application to Zero-shot Intent Classification.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
Knowl. Based Syst., 2019
Clustering Uncertain Data via Representative Possible Worlds with Consistency Learning.
CoRR, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
2018
Possible world based consistency learning model for clustering and classifying uncertain data.
Neural Networks, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
2017
Novel density-based and hierarchical density-based clustering algorithms for uncertain data.
Neural Networks, 2017
Knowl. Based Syst., 2017
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2017
2016
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
2015
ACM Trans. Knowl. Discov. Data, 2015
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
2014
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014