| Efficient multimodal transformer with dual-level feature restoration for robust multimodal sentiment analysis L Sun, Z Lian, B Liu, J Tao IEEE Transactions on Affective Computing 15 (1), 309-325, 2023 | 93 | 2023 |
| Multimodal cross- and self-attention network for speech emotion recognition L Sun, B Liu, J Tao, Z Lian ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 89 | 2021 |
| Gcnet: Graph completion network for incomplete multimodal learning in conversation Z Lian, L Chen, L Sun, B Liu, J Tao IEEE Transactions on pattern analysis and machine intelligence 45 (7), 8419-8432, 2023 | 86 | 2023 |
| Multi-modal continuous dimensional emotion recognition using recurrent neural network and self-attention mechanism L Sun, Z Lian, J Tao, B Liu, M Niu Proceedings of the 1st international on multimodal sentiment analysis in …, 2020 | 81 | 2020 |
| Mer 2023: Multi-label learning, modality robustness, and semi-supervised learning Z Lian, H Sun, L Sun, K Chen, M Xu, K Wang, K Xu, Y He, Y Li, J Zhao, ... Proceedings of the 31st ACM international conference on multimedia, 9610-9614, 2023 | 56 | 2023 |
| MAE-DFER: Efficient Masked Autoencoder for Self-supervised Dynamic Facial Expression Recognition L Sun, Z Lian, B Liu, J Tao Proceedings of the 31st ACM International Conference on Multimedia, 6110–6121, 2023 | 46 | 2023 |
| Gpt-4v with emotion: A zero-shot benchmark for generalized emotion recognition Z Lian, L Sun, H Sun, K Chen, Z Wen, H Gu, B Liu, J Tao Information Fusion 108, 102367, 2024 | 38* | 2024 |
| Multimodal emotion recognition and sentiment analysis via attention enhanced recurrent model L Sun, M Xu, Z Lian, B Liu, J Tao, M Wang, Y Cheng proceedings of the 2nd on multimodal sentiment analysis challenge, 15-20, 2021 | 34 | 2021 |
| Explainable multimodal emotion reasoning Z Lian, L Sun, M Xu, H Sun, K Xu, Z Wen, S Chen, B Liu, J Tao CoRR, 2023 | 31 | 2023 |
| Multimodal sentiment analysis based on recurrent neural network and multimodal attention C Cai, Y He, L Sun, Z Lian, B Liu, J Tao, M Xu, K Wang Proceedings of the 2nd on multimodal sentiment analysis challenge, 61-67, 2021 | 28 | 2021 |
| Multimodal temporal attention in sentiment analysis Y He, L Sun, Z Lian, B Liu, J Tao, M Wang, Y Cheng Proceedings of the 3rd International on Multimodal Sentiment Analysis …, 2022 | 26 | 2022 |
| Mer 2024: Semi-supervised learning, noise robustness, and open-vocabulary multimodal emotion recognition Z Lian, H Sun, L Sun, Z Wen, S Zhang, S Chen, H Gu, J Zhao, Z Ma, ... Proceedings of the 2nd International Workshop on Multimodal and Responsible …, 2024 | 23 | 2024 |
| Merbench: A unified evaluation benchmark for multimodal emotion recognition Z Lian, L Sun, Y Ren, H Gu, H Sun, L Chen, B Liu, J Tao arXiv preprint arXiv:2401.03429, 2024 | 23 | 2024 |
| HiCMAE: Hierarchical Contrastive Masked Autoencoder for Self-Supervised Audio-Visual Emotion Recognition L Sun, Z Lian, B Liu, J Tao Information Fusion 108, 102382, 2024 | 18 | 2024 |
| Emotional reaction analysis based on multi-label graph convolutional networks and dynamic facial expression recognition transformer K Wang, Z Lian, L Sun, B Liu, J Tao, Y Fan Proceedings of the 3rd International on Multimodal Sentiment Analysis …, 2022 | 17 | 2022 |
| SVFAP: Self-supervised video facial affect perceiver L Sun, Z Lian, K Wang, Y He, M Xu, H Sun, B Liu, J Tao IEEE Transactions on Affective Computing, 2024 | 10 | 2024 |
| EmotionNAS: Two-stream neural architecture search for speech emotion recognition H Sun, Z Lian, B Liu, Y Li, L Sun, C Cai, J Tao, M Wang, Y Cheng arXiv preprint arXiv:2203.13617, 2022 | 10 | 2022 |
| AffectGPT: Dataset and framework for explainable multimodal emotion recognition Z Lian, H Sun, L Sun, J Yi, B Liu, J Tao arXiv preprint arXiv:2407.07653, 2024 | 9 | 2024 |
| Integrating videomae based model and optical flow for micro-and macro-expression spotting K Xu, K Chen, L Sun, Z Lian, B Liu, G Chen, H Sun, M Xu, J Tao Proceedings of the 31st ACM International Conference on Multimedia, 9576-9580, 2023 | 8 | 2023 |
| Arnet: Automatic refinement network for noisy partial label learning Z Lian, M Xu, L Chen, L Sun, B Liu, J Tao arXiv preprint arXiv:2211.04774, 2022 | 7* | 2022 |
Jianhua TAOTsinghua UniversityPreverjeni e-poštni naslov na tsinghua.edu.cn
