Yazhou Zhang
Orcid: 0000-0002-5699-0176Affiliations:
- Tianjin University, College of Intelligence and Computing, Quantum Intelligence and Language Understanding Lab, Tianjin, China
- Zhengzhou University of Light Industry, College of Software Engineering, Zhengzhou, China (2020 - 2024)
- Tianjin University, Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin, China (PhD 2020)
According to our database1,
Yazhou Zhang authored at least 71 papers
between 2017 and 2026.
Collaborative distances:
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Bibliography
2026
IEEE Trans. Neural Networks Learn. Syst., June, 2026
AffectGPT-RL: Revealing Roles of Reinforcement Learning in Open-Vocabulary Emotion Recognition.
CoRR, May, 2026
2025
Seeing is Not Understanding: A Benchmark on Perception-Cognition Disparities in Large Language Models.
CoRR, September, 2025
CoRR, August, 2025
CoRR, June, 2025
MALM: A Multi-Information Adapter for Large Language Models to Mitigate Hallucination.
CoRR, June, 2025
NurValues: Real-World Nursing Values Evaluation for Large Language Models in Clinical Context.
CoRR, May, 2025
Beyond Single-Sentence Prompts: Upgrading Value Alignment Benchmarks with Dialogues and Stories.
CoRR, March, 2025
Trans. Mach. Learn. Res., 2025
IEEE Trans. Affect. Comput., 2025
DialogueLLM: Context and emotion knowledge-tuned large language models for emotion recognition in conversations.
Neural Networks, 2025
BegoniaGPT: Cultivating the large language model to be an exceptional K-12 English teacher.
Neural Networks, 2025
Edu-Values: Towards Evaluating the Chinese Education Values of Large Language Models.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
Proceedings of the Pattern Recognition and Computer Vision - 8th Chinese Conference, 2025
Proceedings of the 33rd ACM International Conference on Multimedia, 2025
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
2024
Self-Adaptive Representation Learning Model for Multi-Modal Sentiment and Sarcasm Joint Analysis.
ACM Trans. Multim. Comput. Commun. Appl., May, 2024
Identification of human microRNA-disease association via low-rank approximation-based link propagation and multiple kernel learning.
Frontiers Comput. Sci., April, 2024
Learning Multitask Commonness and Uniqueness for Multimodal Sarcasm Detection and Sentiment Analysis in Conversation.
IEEE Trans. Artif. Intell., March, 2024
A Dual Channel Cyber-Physical Transportation Network for Detecting Traffic Incidents and Driver Emotion.
IEEE Trans. Consumer Electron., February, 2024
M3GAT: A Multi-modal, Multi-task Interactive Graph Attention Network for Conversational Sentiment Analysis and Emotion Recognition.
ACM Trans. Inf. Syst., January, 2024
ACM Comput. Surv., January, 2024
A Quantum Probability Driven Framework for Joint Multi-Modal Sarcasm, Sentiment and Emotion Analysis.
IEEE Trans. Affect. Comput., 2024
Learning interactions across sentiment and emotion with graph attention network and position encodings.
Pattern Recognit. Lett., 2024
CoRR, 2024
Proceedings of the Natural Language Processing and Chinese Computing, 2024
2023
Multi-level correlation mining framework with self-supervised label generation for multimodal sentiment analysis.
Inf. Fusion, November, 2023
A Multimodal Coupled Graph Attention Network for Joint Traffic Event Detection and Sentiment Classification.
IEEE Trans. Intell. Transp. Syst., August, 2023
A Multitask learning model for multimodal sarcasm, sentiment and emotion recognition in conversations.
Inf. Fusion, May, 2023
Comput. Graph., April, 2023
Metaverse Virtual Social Center for the Elderly Communication During the Social Distancing.
Virtual Real. Intell. Hardw., February, 2023
Stance-level Sarcasm Detection with BERT and Stance-centered Graph Attention Networks.
ACM Trans. Internet Techn., 2023
DialogueLLM: Context and Emotion Knowledge-Tuned LLaMA Models for Emotion Recognition in Conversations.
CoRR, 2023
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
MIP-GAT: A Multi-Task Interactive Graph Attention Network with Position Encodings for Joint Sentiment Classification and Emotion Recognition.
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023
2022
Affective Interaction: Attentive Representation Learning for Multi-Modal Sentiment Classification.
ACM Trans. Multim. Comput. Commun. Appl., 2022
A fuzzy semantic representation and reasoning model for multiple associative predicates in knowledge graph.
Inf. Sci., 2022
Comput. Electr. Eng., 2022
A Multibias-Mitigated and Sentiment Knowledge Enriched Transformer for Debiasing in Multimodal Conversational Emotion Recognition.
Proceedings of the Natural Language Processing and Chinese Computing, 2022
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Multi-modal Sentiment and Emotion Joint Analysis with a Deep Attentive Multi-task Learning Model.
Proceedings of the Advances in Information Retrieval, 2022
A Hybrid Model for Depression Detection With Transformer and Bi-directional Long Short-Term Memory.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
IEEE Trans. Fuzzy Syst., 2021
Learning interaction dynamics with an interactive LSTM for conversational sentiment analysis.
Neural Networks, 2021
What Does Your Smile Mean? Jointly Detecting Multi-Modal Sarcasm and Sentiment Using Quantum Probability.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 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
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019
QPIN: A Quantum-inspired Preference Interactive Network for E-commerce Recommendation.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 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
Investigating the Dynamic Decision Mechanisms of Users' Relevance Judgment for Information Retrieval via Log Analysis.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Unsupervised Sentiment Analysis of Twitter Posts Using Density Matrix Representation.
Proceedings of the Advances in Information Retrieval, 2018
2017
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017