Qing Xu

According to our database, Qing Xu authored at least 11 papers between 2022 and 2025.

Collaborative distances:

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

2025

EmoHead: Emotional Talking Head via Manipulating Semantic Expression Parameters.

Xuli Shen, Hua Cai, Dingding Yu, Weilin Shen, Qing Xu, Xiangyang Xue

CoRR, March, 2025

Hierarchical Context Interaction and Reasoning with Transformer for Emotion Recognition.

Wenxuan Wang, Chenglei Wang, Xiaomei Wang, Xuli Shen, Qing Xu, Xuelin Qian

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Enhancing Multimodal Analogical Reasoning Through Triplet Interaction.

Hua Cai, Xuli Shen, Shuaishuai Li, Weilin Shen, Qing Xu

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

CocoER: Aligning Multi-Level Feature by Competition and Coordination for Emotion Recognition.

Xuli Shen, Hua Cai, Weilin Shen, Qing Xu, Dingding Yu, Weifeng Ge, Xiangyang Xue

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2023

M2DQN: A Robust Method for Accelerating Deep Q-learning Network.

Zhe Zhang, Yukun Zou, Junjie Lai, Qing Xu

Proceedings of the 15th International Conference on Machine Learning and Computing, 2023

Weakly Supervised Learning of Semantic Correspondence through Cascaded Online Correspondence Refinement.

Yiwen Huang, Yixuan Sun, Chenghang Lai, Qing Xu, Xiaomei Wang, Xuli Shen, Weifeng Ge

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Improving Empathetic Dialogue Generation by Dynamically Infusing Commonsense Knowledge.

Hua Cai, Xuli Shen, Qing Xu, Weilin Shen, Xiaomei Wang, Weifeng Ge, Xiaoqing Zheng, Xiangyang Xue

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

M²DQN: A Robust Method for Accelerating Deep Q-learning Network.

Zhe Zhang, Yukun Zou, Junjie Lai, Qing Xu

CoRR, 2022

Keyword Extractor for Contrastive Learning of Unsupervised Sentence Embedding.

Hua Cai, Weihong Chen, Kehuan Shi, Shuaishuai Li, Qing Xu

Proceedings of the 5th International Conference on Machine Learning and Natural Language Processing, 2022

Towards Scalable and Fast Distributionally Robust Optimization for Data-Driven Deep Learning.

Xuli Shen, Xiaomei Wang, Qing Xu, Weifeng Ge, Xiangyang Xue

Proceedings of the IEEE International Conference on Data Mining, 2022

Matching Long-form Document with Topic Extraction and Aggregation.

Hua Cai, Jingxi Hu, Ren Ma, Yixiao Lu, Qing Xu

Proceedings of the 5th International Conference on Algorithms, 2022