Kai Gao

Orcid: 0000-0002-6920-850X

Affiliations:
  • Hebei University of Science and Technology, School of Information Science and Engineering, Shijiazhuang, China
  • Shanghai Jiao Tong University, China (PhD)


According to our database1, Kai Gao authored at least 41 papers between 2013 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Mitigating Multimodal Inconsistency via Cognitive Dual-Pathway Reasoning for Intent Recognition.
Proceedings of the 2026 International Conference on Multimedia Retrieval, 2026

2025
Multimodal Classification and Out-of-Distribution Detection for Multimodal Intent Understanding.
IEEE Trans. Multim., 2025

A unified prompt-based framework for few-shot multimodal language analysis.
Intell. Syst. Appl., 2025

Learning how to transfer: A lifelong domain knowledge distillation framework for continual MRC.
Intell. Syst. Appl., 2025

TG-ERC: Utilizing three generation models to handle emotion recognition in conversation tasks.
Expert Syst. Appl., 2025

2024
A Clustering Framework for Unsupervised and Semi-Supervised New Intent Discovery.
IEEE Trans. Knowl. Data Eng., November, 2024

Crossmodal Translation Based Meta Weight Adaption for Robust Image-Text Sentiment Analysis.
IEEE Trans. Multim., 2024

Meta Noise Adaption Framework for Multimodal Sentiment Analysis With Feature Noise.
IEEE Trans. Multim., 2024

Noise Imitation Based Adversarial Training for Robust Multimodal Sentiment Analysis.
IEEE Trans. Multim., 2024

Multimodal Consistency-Based Teacher for Semi-Supervised Multimodal Sentiment Analysis.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

AdaFN-AG: Enhancing multimodal interaction with Adaptive Feature Normalization for multimodal sentiment analysis.
Intell. Syst. Appl., 2024

MIntRec2.0: A Large-scale Benchmark Dataset for Multimodal Intent Recognition and Out-of-scope Detection in Conversations.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Unsupervised Multimodal Clustering for Semantics Discovery in Multimodal Utterances.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

OpenVNA: A Framework for Analyzing the Behavior of Multimodal Language Understanding System under Noisy Scenarios.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2024

Token-Level Contrastive Learning with Modality-Aware Prompting for Multimodal Intent Recognition.
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.
Intell. Syst. Appl., November, 2023

Topic model for personalized end-to-end task-oriented dialogue.
Expert Syst. Appl., 2023

USNID: A Framework for Unsupervised and Semi-supervised New Intent Discovery.
CoRR, 2023

2022
GAR-Net: A Graph Attention Reasoning Network for conversation understanding.
Knowl. Based Syst., 2022

A Self-Adjusting Fusion Representation Learning Model for Unaligned Text-Audio Sequences.
CoRR, 2022

Continual Machine Reading Comprehension via Uncertainty-aware Fixed Memory and Adversarial Domain Adaptation.
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.
Proceedings of the International Conference on Multimodal Interaction, 2022

An In-depth Interactive and Visualized Platform for Evaluating and Analyzing MRC Models.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Consistent Representation Learning for Continual Relation Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

M-SENA: An Integrated Platform for Multimodal Sentiment Analysis.
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.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Representation iterative fusion based on heterogeneous graph neural network for joint entity and relation extraction.
Knowl. Based Syst., 2021

TEXTOIR: An Integrated and Visualized Platform for Text Open Intent Recognition.
Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Heterogeneous graph neural networks for noisy few-shot relation classification.
Knowl. Based Syst., 2020

CM-BERT: Cross-Modal BERT for Text-Audio Sentiment Analysis.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Dynamic Prototype Selection by Fusing Attention Mechanism for Few-Shot Relation Classification.
Proceedings of the Intelligent Information and Database Systems - 12th Asian Conference, 2020

Multi-Channel Convolutional Neural Networks with Adversarial Training for Few-Shot Relation Classification (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018
Attention-Based BiLSTM Network with Lexical Feature for Emotion Classification.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Two-Stage Attention Network for Aspect-Level Sentiment Classification.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017
A Convolutional Neural Network Based Sentiment Classification and the Convolutional Kernel Representation.
Proceedings of the Natural Language Processing and Information Systems, 2017

Text Understanding with a Hybrid Neural Network Based Learning.
Proceedings of the Data Science, 2017

2015
A rule-based approach to emotion cause detection for Chinese micro-blogs.
Expert Syst. Appl., 2015

Emotion Cause Detection for Chinese Micro-Blogs Based on ECOCC Model.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

2014
Emotion classification based on structured information.
Proceedings of the International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, 2014

2013
Design and analysis of genetic algorithm based Chinese keyword extracting.
Int. J. Comput. Appl. Technol., 2013

Research on classification algorithm and its application in cased-based reasoning.
Int. J. Comput. Appl. Technol., 2013


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