Z. (Zhu) Li

PhD student

Campus Fryslân

Telefoon:

E-mail:

zhu.li rug.nl

Homepage ORCID Research Portal

Publicaties

A Multimodal Chinese Dataset for Cross-lingual Sarcasm Detection

Gao, X., Wang, B. X., Zhang, M., Huang, S., Li, Z., Nayak, S. & Coler, M., 2025, Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. ISCA, blz. 3968-3972 5 blz. (Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH).

Onderzoeksoutput › › peer review

AMuSeD: An Attentive Deep Neural Network for Multimodal Sarcasm Detection Incorporating Bi-modal Data Augmentation

Gao, X., Bansal, S., Gowda, K., Li, Z., Nayak, S., Kumar, N. & Coler, M., 2-dec.-2025, (E-pub ahead of print) In: IEEE Transactions on Affective Computing. 14 blz.

Onderzoeksoutput › › peer review

Evaluating Multimodal Large Language Models on Spoken Sarcasm Understanding

Li, Z., Gao, X., Zhang, Y., Nayak, S. & Coler, M., 18-sep.-2025, (Submitted) arXiv, 5 blz.

Onderzoeksoutput: Voordruk ›

Integrating Feedback Loss from Bi-modal Sarcasm Detector for Sarcastic Speech Synthesis

Li, Z., Zhang, Y., Gao, X., Raghuvanshi, D., Kumar, N., Nayak, S. & Coler, M., 18-aug.-2025, (Submitted) arXiv, 7 blz.

Onderzoeksoutput: Voordruk ›

Intra-modal Relation and Emotional Incongruity Learning using Graph Attention Networks for Multimodal Sarcasm Detection

Raghuvanshi, D., Gao, X., Li, Z., Bansal, S., Coler, M., Kumar, N. & Nayak, S., 2025, 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025 - Proceedings. Rao, B. D., Trancoso, I., Sharma, G. & Mehta, N. B. (reds.). IEEE, 5 blz. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

Onderzoeksoutput › › peer review

Alle (11) publicaties

Bekijk volledig onderzoeksprofiel

Z. (Zhu) Li

Publicaties

A Multimodal Chinese Dataset for Cross-lingual Sarcasm Detection

AMuSeD: An Attentive Deep Neural Network for Multimodal Sarcasm Detection Incorporating Bi-modal Data Augmentation

Evaluating Multimodal Large Language Models on Spoken Sarcasm Understanding

Integrating Feedback Loss from Bi-modal Sarcasm Detector for Sarcastic Speech Synthesis

Intra-modal Relation and Emotional Incongruity Learning using Graph Attention Networks for Multimodal Sarcasm Detection

Leveraging Large Language Models for Sarcastic Speech Annotation in Sarcasm Detection

Leveraging Large Language Models for Sarcastic Speech Annotation in Sarcasm Detection

A Functional Trade-off between Prosodic and Semantic Cues in Conveying Sarcasm

A Functional Trade-off between Prosodic and Semantic Cues in Conveying Sarcasm

AMuSeD: An Attentive Deep Neural Network for Multimodal Sarcasm Detection Incorporating Bi-modal Data Augmentation

Z. (Zhu) Li

Publicaties

Functioneel

Standaard

Volledig