Xiang Li

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 21

Top Topics

Emotion Recognition

Matrix Representation

Physiological Signals

Sentiment Analysis

Top Venues

Int. J. Data Min. Bioinform.

Publications

Xiang Li, Jian Song, Zhigang Zhao, Chunxiao Wang, Dawei Song, Bin Hu
A Supervised Information Enhanced Multi-Granularity Contrastive Learning Framework for EEG Based Emotion Recognition. CoRR (2024)
Xiang Li, Jian Song, Zhigang Zhao, Chunxiao Wang, Dawei Song, Bin Hu
A Supervised Information Enhanced Multi-Granularity Contrastive Learning Framework for EEG Based Emotion Recognition. ICASSP (2024)
Jian Song, Xiang Li, Zhenqiang Zhang, Zhigang Zhao, Chunxiao Wang, Shunfang Wu, Suiping Qi, Jialiang Lv
A Predictive Framework for Shipborne Wind Speed Measurement Correction Based on Self-Supervised Contrastive Learning. CSCWD (2024)
Jie Zhang, Jian Song, Xiang Li, Xuesen Tian, Zhigang Zhao, Lu Wu, Chunxiao Wang
Job2Vec: A Self-Supervised Contrastive Learning Based HPC Job Power Consumption Prediction Framework. ICPADS (2023)
Xiang Li, Yazhou Zhang, Prayag Tiwari, Dawei Song, Bin Hu, Meihong Yang, Zhigang Zhao, Neeraj Kumar, Pekka Marttinen
EEG Based Emotion Recognition: A Tutorial and Review. ACM Comput. Surv. 55 (4) (2023)
Yazhou Zhang, Lu Rong, Xiang Li, Rui Chen
Multi-modal Sentiment and Emotion Joint Analysis with a Deep Attentive Multi-task Learning Model. ECIR (1) (2022)
Xiang Li, Yazhou Zhang, Prayag Tiwari, Dawei Song, Bin Hu, Meihong Yang, Zhigang Zhao, Neeraj Kumar, Pekka Marttinen
EEG based Emotion Recognition: A Tutorial and Review. CoRR (2022)
Yazhou Zhang, Xiang Li, Lu Rong, Prayag Tiwari
Multi-Task Learning for Jointly Detecting Depression and Emotion. BIBM (2021)
Yazhou Zhang, Prayag Tiwari, Dawei Song, Xiaoliu Mao, Panpan Wang, Xiang Li, Hari Mohan Pandey
Learning interaction dynamics with an interactive LSTM for conversational sentiment analysis. Neural Networks 133 (2021)
Xiang Li, Zhaoqian Zhang, Zhigang Zhao, Lu Wu, Jidong Huo, Jian Zhang, Yinglong Wang
ECNN: One Online Deep Learning Model for Streaming Ocean Data Prediction. ICEA (2021)
Yazhou Zhang, Zhipeng Zhao, Panpan Wang, Xiang Li, Lu Rong, Dawei Song
ScenarioSA: A Dyadic Conversational Database for Interactive Sentiment Analysis. IEEE Access 8 (2020)
Yazhou Zhang, Dawei Song, Xiang Li, Peng Zhang, Panpan Wang, Lu Rong, Guangliang Yu, Bo Wang
A Quantum-Like multimodal network framework for modeling interaction dynamics in multiparty conversational sentiment analysis. Inf. Fusion 62 (2020)
Xiang Li, Zhigang Zhao, Dawei Song, Yazhou Zhang, Chunyang Niu, Junwei Zhang, Jidong Huo, Jing Li
Variational Autoencoder based Latent Factor Decoding of Multichannel EEG for Emotion Recognition. BIBM (2019)
Yazhou Zhang, Dawei Song, Peng Zhang, Xiang Li, Panpan Wang
A quantum-inspired sentiment representation model for twitter sentiment analysis. Appl. Intell. 49 (8) (2019)
Chunyang Niu, Xiang Li, Zhigang Zhao, Jidong Huo
A Generalized Densely Connected Encoder-Decoder Network for epithelial and stromal regions segmentation in histopathological images. BIBM (2019)
Yazhou Zhang, Dawei Song, Peng Zhang, Panpan Wang, Jingfei Li, Xiang Li, Benyou Wang
A quantum-inspired multimodal sentiment analysis framework. Theor. Comput. Sci. 752 (2018)
Yazhou Zhang, Dawei Song, Xiang Li, Peng Zhang
Unsupervised Sentiment Analysis of Twitter Posts Using Density Matrix Representation. ECIR (2018)
Panpan Wang, Yazhou Zhang, Xiang Li, Yuexian Hou, Dawei Song
Does tang poetry affect human emotional state? A pilot study by EEG. BIBM (2017)
Xiang Li, Dawei Song, Peng Zhang, Yuexian Hou, Bin Hu
Deep fusion of multi-channel neurophysiological signal for emotion recognition and monitoring. Int. J. Data Min. Bioinform. 18 (1) (2017)
Xiang Li, Dawei Song, Peng Zhang, Guangliang Yu, Yuexian Hou, Bin Hu
Emotion recognition from multi-channel EEG data through Convolutional Recurrent Neural Network. BIBM (2016)
Guangliang Yu, Xiang Li, Dawei Song, Xiaozhao Zhao, Peng Zhang, Yuexian Hou, Bin Hu
Encoding physiological signals as images for affective state recognition using convolutional neural networks. EMBC (2016)