Jin, Qin

Pre-trained models: Past, present and future

Han, X., Zhang, Z., Ding, N., Gu, Y., Liu, X., Huo, Y., Qiu, J., Yao, Y., Zhang, A., Zhang, L., et al. (2021) · AI Open

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 994

Missing Modality Imagination Network for Emotion Recognition with Uncertain Missing Modalities

Zhao, J., Li, R., & Jin, Q. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Sentiment Analysis and Opinion MiningEmotion and Mood Recognition

Cited by 275

Multimodal Multi-task Learning for Dimensional and Continuous Emotion Recognition

Chen, S., Jin, Q., Zhao, J., & Wang, S. (2017) · Proceedings of the 7th Annual Workshop on Audio/Visual Emotion Challenge

Emotion and Mood RecognitionSentiment Analysis and Opinion Mining

Cited by 147

Semi-supervised Multi-modal Emotion Recognition with Cross-Modal Distribution Matching

Liang, J., Li, R., & Jin, Q. (2020) · Proceedings of the 28th ACM International Conference on Multimedia

Emotion and Mood RecognitionSentiment Analysis and Opinion Mining

Cited by 73

Multi-modal Multi-cultural Dimensional Continues Emotion Recognition in Dyadic Interactions

Zhao, J., Li, R., Chen, S., & Jin, Q. (2018) · Proceedings of the 2018 on Audio/Visual Emotion Challenge and Workshop

Emotion and Mood RecognitionSentiment Analysis and Opinion Mining

Cited by 42

Memobert: Pre-Training Model with Prompt-Based Learning for Multimodal Emotion Recognition

Zhao, J., Li, R., Jin, Q., Wang, X., & Li, H. (2022) · ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Emotion and Mood RecognitionSentiment Analysis and Opinion Mining

Cited by 39

Video emotion recognition in the wild based on fusion of multimodal features

Chen, S., Li, X., Jin, Q., Zhang, S., & Qin, Y. (2016) · Proceedings of the 18th ACM International Conference on Multimodal Interaction

Emotion and Mood RecognitionSpeech and Audio Processing

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