Kai Gao

According to our database, Kai Gao authored at least 27 papers between 2014 and 2025.

Collaborative distances:

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

2025

Learning how to transfer: A lifelong domain knowledge distillation framework for continual MRC.

Songze Li, Zhijing Wu, Runmin Cao, Xiaohan Zhang, Yifan Wang, Hua Xu, Kai Gao

Intell. Syst. Appl., 2025

2024

A Clustering Framework for Unsupervised and Semi-Supervised New Intent Discovery.

Hanlei Zhang, Hua Xu, Xin Wang, Fei Long, Kai Gao

IEEE Trans. Knowl. Data Eng., November, 2024

Crossmodal Translation Based Meta Weight Adaption for Robust Image-Text Sentiment Analysis.

Baozheng Zhang, Ziqi Yuan, Hua Xu, Kai Gao

IEEE Trans. Multim., 2024

Meta Noise Adaption Framework for Multimodal Sentiment Analysis With Feature Noise.

Ziqi Yuan, Baozheng Zhang, Hua Xu, Kai Gao

IEEE Trans. Multim., 2024

Noise Imitation Based Adversarial Training for Robust Multimodal Sentiment Analysis.

Ziqi Yuan, Yihe Liu, Hua Xu, Kai Gao

IEEE Trans. Multim., 2024

Multimodal Consistency-Based Teacher for Semi-Supervised Multimodal Sentiment Analysis.

Ziqi Yuan, Jingliang Fang, Hua Xu, Kai Gao

IEEE ACM Trans. Audio Speech Lang. Process., 2024

Multimodal Classification and Out-of-distribution Detection for Multimodal Intent Understanding.

Hanlei Zhang, Qianrui Zhou, Hua Xu, Jianhua Su, Roberto Evans, Kai Gao

CoRR, 2024

MIntRec2.0: A Large-scale Benchmark Dataset for Multimodal Intent Recognition and Out-of-scope Detection in Conversations.

Hanlei Zhang, Xin Wang, Hua Xu, Qianrui Zhou, Kai Gao, Jianhua Su, Jinyue Zhao, Wenrui Li, Yanting Chen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Token-Level Contrastive Learning with Modality-Aware Prompting for Multimodal Intent Recognition.

Qianrui Zhou, Hua Xu, Hao Li, Hanlei Zhang, Xiaohan Zhang, Yifan Wang, Kai Gao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Robustness-Eva-MRC: Assessing and analyzing the robustness of neural models in extractive machine reading comprehension.

Jingliang Fang, Hua Xu, Zhijing Wu, Kai Gao, Xiaoyin Che, Haotian Hui

Intell. Syst. Appl., November, 2023

USNID: A Framework for Unsupervised and Semi-supervised New Intent Discovery.

Hanlei Zhang, Hua Xu, Xin Wang, Fei Long, Kai Gao

CoRR, 2023

2022

A Self-Adjusting Fusion Representation Learning Model for Unaligned Text-Audio Sequences.

Kaicheng Yang, Ruxuan Zhang, Hua Xu, Kai Gao

CoRR, 2022

Continual Machine Reading Comprehension via Uncertainty-aware Fixed Memory and Adversarial Domain Adaptation.

Zhijing Wu, Hua Xu, Jingliang Fang, Kai Gao

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Make Acoustic and Visual Cues Matter: CH-SIMS v2.0 Dataset and AV-Mixup Consistent Module.

Yihe Liu, Ziqi Yuan, Huisheng Mao, Zhiyun Liang, Wanqiuyue Yang, Yuanzhe Qiu, Tie Cheng, Xiaoteng Li, Hua Xu, Kai Gao

Proceedings of the International Conference on Multimodal Interaction, 2022

An In-depth Interactive and Visualized Platform for Evaluating and Analyzing MRC Models.

Zhijing Wu, Jingliang Fang, Hua Xu, Kai Gao

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Consistent Representation Learning for Continual Relation Extraction.

Kang Zhao, Hua Xu, Jiangong Yang, Kai Gao

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

M-SENA: An Integrated Platform for Multimodal Sentiment Analysis.

Huisheng Mao, Ziqi Yuan, Hua Xu, Wenmeng Yu, Yihe Liu, Kai Gao

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

An End-to-End Traditional Chinese Medicine Constitution Assessment System Based on Multimodal Clinical Feature Representation and Fusion.

Huisheng Mao, Baozheng Zhang, Hua Xu, Kai Gao

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

TEXTOIR: An Integrated and Visualized Platform for Text Open Intent Recognition.

Hanlei Zhang, Xiaoteng Li, Hua Xu, Panpan Zhang, Kang Zhao, Kai Gao

CoRR, 2021

2020

Heterogeneous graph neural networks for noisy few-shot relation classification.

Yuxiang Xie, Hua Xu, Jiaoe Li, Congcong Yang, Kai Gao

Knowl. Based Syst., 2020

CM-BERT: Cross-Modal BERT for Text-Audio Sentiment Analysis.

Kaicheng Yang, Hua Xu, Kai Gao

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Multi-Channel Convolutional Neural Networks with Adversarial Training for Few-Shot Relation Classification (Student Abstract).

Yuxiang Xie, Hua Xu, Congcong Yang, Kai Gao

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018

Attention-Based BiLSTM Network with Lexical Feature for Emotion Classification.

Kai Gao, Hua Xu, Chengliang Gao, Hanyong Hao, Junhui Deng, Xiaomin Sun

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Two-Stage Attention Network for Aspect-Level Sentiment Classification.

Kai Gao, Hua Xu, Chengliang Gao, Xiaomin Sun, Junhui Deng, Xiaoming Zhang

Proceedings of the Neural Information Processing - 25th International Conference, 2018

2015

A rule-based approach to emotion cause detection for Chinese micro-blogs.

Kai Gao, Hua Xu, Jiushuo Wang

Expert Syst. Appl., 2015

Emotion Cause Detection for Chinese Micro-Blogs Based on ECOCC Model.

Kai Gao, Hua Xu, Jiushuo Wang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

2014

Emotion classification based on structured information.

Kai Gao, Hua Xu, Jiushuo Wang

Proceedings of the International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, 2014