Xiangyu Kong

According to our database, Xiangyu Kong authored at least 15 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

ECHO: Towards Emotionally Appropriate and Contextually Aware Interactive Head Generation.

Xiangyu Kong, Xiaoyu Jin, Yihan Pan, Haoqin Sun, Hengde Zhu, Xiaoming Xu, Xiaoming Wei, Lu Liu, Siyang Song

CoRR, March, 2026

Speech-XL: Towards Long-Form Speech Understanding in Large Speech Language Models.

Haoqin Sun, Chenyang Lyu, Shiwan Zhao, Xuanfan Ni, Xiangyu Kong, Longyue Wang, Weihua Luo, Yong Qin

CoRR, February, 2026

Explainable Depression Assessment from Face Videos by Weakly Supervised Learning.

Rongfan Liao, Xiangyu Kong, Shiqing Tang, Lang He, Changzeng Fu, Weicheng Xie, Xiaofeng Liu, Lu Liu, Siyang Song

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Learning Personalised Human Internal Cognition from External Expressive Behaviours for Real Personality Recognition.

Xiangyu Kong, Hengde Zhu, Haoqin Sun, Zhihao Guo, Jiayan Gu, Xinyi Ni, Wei Zhang, Shizhe Liu, Siyang Song

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Semi-CLMT: A Semi-Supervised Framework for Medical Image Segmentation.

Xiangyu Kong, Zeyu Ren, Hengde Zhu, Shuihua Wang, Lu Liu

IEEE Trans. Emerg. Top. Comput. Intell., December, 2025

MECap-R1: Emotion-aware Policy with Reinforcement Learning for Multimodal Emotion Captioning.

Haoqin Sun, Chenyang Lyu, Xiangyu Kong, Shiwan Zhao, Jiaming Zhou, Hui Wang, Aobo Kong, Jinghua Zhao, Longyue Wang, Weihua Luo, Kaifu Zhang, Yong Qin

CoRR, September, 2025

UGOD: Uncertainty-Guided Differentiable Opacity and Soft Dropout for Enhanced Sparse-View 3DGS.

Zhihao Guo, Peng Wang, Zidong Chen, Xiangyu Kong, Yan Lyu, Guanyu Gao, Liangxiu Han

CoRR, August, 2025

REACT 2025: the Third Multiple Appropriate Facial Reaction Generation Challenge.

Siyang Song, Micol Spitale, Xiangyu Kong, Hengde Zhu, Cheng Luo, Cristina Palmero, Germán Barquero, Sergio Escalera, Michel F. Valstar, Mohamed Daoudi, Tobias Baur, Fabien Ringeval, Andrew Howes, Elisabeth André, Hatice Gunes

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

RA-CLAP: Relation-Augmented Emotional Speaking Style Contrastive Language-Audio Pretraining For Speech Retrieval.

Haoqin Sun, Jingguang Tian, Jiaming Zhou, Hui Wang, Jiabei He, Shiwan Zhao, Xiangyu Kong, Desheng Hu, Xinkang Xu, Xinhui Hu, Yong Qin

Proceedings of the 26th Annual Conference of the International Speech Communication Association, 2025

Enhancing Emotion Recognition in Incomplete Data: A Novel Cross-Modal Alignment, Reconstruction, and Refinement Framework.

Haoqin Sun, Shiwan Zhao, Shaokai Li, Xiangyu Kong, Xuechen Wang, Jiaming Zhou, Aobo Kong, Yong Chen, Wenjia Zeng, Yong Qin

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Online Emotion-Driven Generation of Multiple Appropriate Facial Reactions.

Jiajian Huang, Siyang Song, Xiangyu Kong, Weicheng Xie, Linlin Shen, Zitong Yu

Proceedings of the Biometric Recognition - 19th Chinese Conference, 2025

PerReactor: Offline Personalised Multiple Appropriate Facial Reaction Generation.

Hengde Zhu, Xiangyu Kong, Weicheng Xie, Xin Huang, Xilin He, Lu Liu, Linlin Shen, Wei Zhang, Hatice Gunes, Siyang Song

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

PerFRDiff: Personalised Weight Editing for Multiple Appropriate Facial Reaction Generation.

Hengde Zhu, Xiangyu Kong, Weicheng Xie, Xin Huang, Linlin Shen, Lu Liu, Hatice Gunes, Siyang Song

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Iterative Prototype Refinement for Ambiguous Speech Emotion Recognition.

Haoqin Sun, Shiwan Zhao, Xiangyu Kong, Xuechen Wang, Hui Wang, Jiaming Zhou, Yong Qin

Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

Semi-Supervised Volumetric Medical Image Segmentation via Class Prototype Guided Distribution-Aligned Representation Learning.

Xiangyu Kong, Zeyu Ren, Lu Liu

Proceedings of the IEEE International Conference on Acoustics, 2024