Xiang Li
Orcid: 0000-0001-5471-1236Affiliations:
- Qilu University of Technology, Shandong Computer Science Center, Jinan, China
- Tianjin University, School of Computer Science and Technology, Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin, China (PhD 2019)
According to our database1,
Xiang Li
authored at least 24 papers
between 2016 and 2023.
Collaborative distances:
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Bibliography
2023
Job2Vec: A Self-Supervised Contrastive Learning Based HPC Job Power Consumption Prediction Framework.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023
Proceedings of the 7th International Conference on High Performance Compilation, 2023
EEG based Parkinson Detection through Supervised Information Enhanced Contrastive Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Multi-modal Sentiment and Emotion Joint Analysis with a Deep Attentive Multi-task Learning Model.
Proceedings of the Advances in Information Retrieval, 2022
2021
Learning interaction dynamics with an interactive LSTM for conversational sentiment analysis.
Neural Networks, 2021
Proceedings of the ACM ICEA '21: 2021 ACM International Conference on Intelligent Computing and its Emerging Applications, Jinan, China, December 28, 2021
Proceedings of the ACM ICEA '21: 2021 ACM International Conference on Intelligent Computing and its Emerging Applications, Jinan, China, December 28, 2021
MedSeq2Seq: A Medical Knowledge Enriched Sequence to Sequence Learning Model for COVID-19 Diagnosis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Supercomputer Supported Online Deep Learning Techniques for High Throughput EEG Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Emotion Recognition from Multi-channel EEG Data through A Dual-pipeline Graph Attention Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
A Quantum-Like multimodal network framework for modeling interaction dynamics in multiparty conversational sentiment analysis.
Inf. Fusion, 2020
IEEE Access, 2020
2019
Appl. Intell., 2019
A Generalized Densely Connected Encoder-Decoder Network for epithelial and stromal regions segmentation in histopathological images.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Variational Autoencoder based Latent Factor Decoding of Multichannel EEG for Emotion Recognition.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
2018
Theor. Comput. Sci., 2018
Unsupervised Sentiment Analysis of Twitter Posts Using Density Matrix Representation.
Proceedings of the Advances in Information Retrieval, 2018
2017
Deep fusion of multi-channel neurophysiological signal for emotion recognition and monitoring.
Int. J. Data Min. Bioinform., 2017
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
2016
Encoding physiological signals as images for affective state recognition using convolutional neural networks.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Emotion recognition from multi-channel EEG data through Convolutional Recurrent Neural Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016