Emotion recognition from multi-channel EEG data through Convolutional Recurrent Neural Network. - Xiang Li 064; Dawei Song 001; Peng Zhang 002; Guangliang Yu; Yuexian Hou; Bin Hu 001 (BIBM, 2016)

Encoding physiological signals as images for affective state recognition using convolutional neural networks. - Guangliang Yu; Xiang Li 064; Dawei Song 001; Xiaozhao Zhao; Peng Zhang 002; Yuexian Hou; Bin Hu 001 (EMBC, 2016)

Does tang poetry affect human emotional state? A pilot study by EEG. - Panpan Wang; Yazhou Zhang; Xiang Li 064; Yuexian Hou; Dawei Song 001 (BIBM, 2017)

Deep fusion of multi-channel neurophysiological signal for emotion recognition and monitoring. - Xiang Li 064; Dawei Song 001; Peng Zhang 002; Yuexian Hou; Bin Hu 001 (Int. J. Data Min. Bioinform., 2017)

Unsupervised Sentiment Analysis of Twitter Posts Using Density Matrix Representation. - Yazhou Zhang; Dawei Song 001; Xiang Li 064; Peng Zhang 002 (ECIR, 2018)

A quantum-inspired multimodal sentiment analysis framework. - Yazhou Zhang; Dawei Song 001; Peng Zhang 002; Panpan Wang; Jingfei Li; Xiang Li 064; Benyou Wang (Theor. Comput. Sci., 2018)

Variational Autoencoder based Latent Factor Decoding of Multichannel EEG for Emotion Recognition. - Xiang Li 064; Zhigang Zhao; Dawei Song 001; Yazhou Zhang; Chunyang Niu; Junwei Zhang 009; Jidong Huo; Jing Li (BIBM, 2019)

A Generalized Densely Connected Encoder-Decoder Network for epithelial and stromal regions segmentation in histopathological images. - Chunyang Niu; Xiang Li 064; Zhigang Zhao; Jidong Huo (BIBM, 2019)

A quantum-inspired sentiment representation model for twitter sentiment analysis. - Yazhou Zhang; Dawei Song 001; Peng Zhang 002; Xiang Li 064; Panpan Wang (Appl. Intell., 2019)

ScenarioSA: A Dyadic Conversational Database for Interactive Sentiment Analysis. - Yazhou Zhang; Zhipeng Zhao; Panpan Wang; Xiang Li 064; Lu Rong; Dawei Song 001 (IEEE Access, 2020)

A Quantum-Like multimodal network framework for modeling interaction dynamics in multiparty conversational sentiment analysis. - Yazhou Zhang; Dawei Song 001; Xiang Li 064; Peng Zhang 002; Panpan Wang; Lu Rong; Guangliang Yu; Bo Wang 011 (Inf. Fusion, 2020)

Emotion Recognition from Multi-channel EEG Data through A Dual-pipeline Graph Attention Network. - Xiang Li 064; Jing Li; Yazhou Zhang; Prayag Tiwari (BIBM, 2021)

Supercomputer Supported Online Deep Learning Techniques for High Throughput EEG Prediction. - Xiang Li 064; Yazhou Zhang; Jing Li (BIBM, 2021)

Multi-Task Learning for Jointly Detecting Depression and Emotion. - Yazhou Zhang; Xiang Li 064; Lu Rong; Prayag Tiwari (BIBM, 2021)

MedSeq2Seq: A Medical Knowledge Enriched Sequence to Sequence Learning Model for COVID-19 Diagnosis. - Yazhou Zhang; Lu Rong; Xiang Li 064; Prayag Tiwari; Qian Zheng; Hui Liang 004 (BIBM, 2021)

Real-Time Prediction of Ocean Observation Data Based on Transformer Model. - Wenqing Chang; Xiang Li 064; Huomin Dong; Chunxiao Wang; Zhigang Zhao; Yinglong Wang (ICEA, 2021)

ECNN: One Online Deep Learning Model for Streaming Ocean Data Prediction. - Xiang Li 064; Zhaoqian Zhang; Zhigang Zhao; Lu Wu; Jidong Huo; Jian Zhang; Yinglong Wang (ICEA, 2021)

Learning interaction dynamics with an interactive LSTM for conversational sentiment analysis. - Yazhou Zhang; Prayag Tiwari; Dawei Song 001; Xiaoliu Mao; Panpan Wang; Xiang Li 064; Hari Mohan Pandey (Neural Networks, 2021)

Multi-modal Sentiment and Emotion Joint Analysis with a Deep Attentive Multi-task Learning Model. - Yazhou Zhang; Lu Rong; Xiang Li 064; Rui Chen (ECIR (1), 2022)

InteractiveSentimentDataset. - Yazhou Zhang; Zhipeng Zhao; Panpan Wang; Xiang Li 064; Lu Rong; Dawei Song 001 (IEEE DataPort, 2022)

EEG based Parkinson Detection through Supervised Information Enhanced Contrastive Learning. - Jian Song; Xiang Li 064; Wenjing Jiang; Chunxiao Wang; Zhigang Zhao; Jialiang Lv; Bin Hu 001 (BIBM, 2023)

An Online Incremental Learning Framework for HPC Job Power Consumption Prediction. - Xuesen Tian; Xiang Li 064; Jie Zhang; Zhigang Zhao; Chunxiao Wang; Xiangkai Wang; Jibin Wang (HP3C, 2023)

Job2Vec: A Self-Supervised Contrastive Learning Based HPC Job Power Consumption Prediction Framework. - Jie Zhang; Jian Song; Xiang Li 064; Xuesen Tian; Zhigang Zhao; Lu Wu; Chunxiao Wang (ICPADS, 2023)

EEG Based Emotion Recognition: A Tutorial and Review. - Xiang Li 064; Yazhou Zhang; Prayag Tiwari; Dawei Song 001; Bin Hu 001; Meihong Yang; Zhigang Zhao; Neeraj Kumar 001; Pekka Marttinen (ACM Comput. Surv., 2023)

A Predictive Framework for Shipborne Wind Speed Measurement Correction Based on Self-Supervised Contrastive Learning. - Jian Song; Xiang Li 064; Zhenqiang Zhang; Zhigang Zhao; Chunxiao Wang; Shunfang Wu; Suiping Qi; Jialiang Lv (CSCWD, 2024)

A Supervised Information Enhanced Multi-Granularity Contrastive Learning Framework for EEG Based Emotion Recognition. - Xiang Li 064; Jian Song; Zhigang Zhao; Chunxiao Wang; Dawei Song 001; Bin Hu 001 (ICASSP, 2024)