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ORCIDKai Gao 0006
Person information
- affiliation: Hebei University of Science and Technology, School of Information Science and Engineering, Shijiazhuang, China
- affiliation (PhD): Shanghai Jiao Tong University, China
Other persons with the same name
- Kai Gao — disambiguation page
- Kai Gao 0001
![[0000-0002-2037-4427]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-2037-4427")
— Sichuan University, College of Cybersecurity, Chengdu, China (and 1 more) - Kai Gao 0002 — un Yat-sen University, Zhongshan Ophthalmic Center, Guangzhou, China
- Kai Gao 0003 — Chinese Academy of Sciences, Northwest Institute of Eco-Environment and Resources, Lanzhou, China
- Kai Gao 0004 — Feng Chia University, Department of Information Engineering and Computer Science, Taichung, Taiwan
- Kai Gao 0005 — Los Alamos National Laboratory, Earth and Environmental Sciences Divisionm NM, USA (and 1 more)
- Kai Gao 0007 — Huawei Beijing Research Institute, HI-SILICON Laboratory, China (and 1 more)
- Kai Gao 0008 — University of Science and Technology Beijing, China
- Kai Gao 0009 — Tongji University, Department of Control Science and Engineering, Shanghai, China
- Kai Gao 0010 — Changsha University of Science and Technology, College of Automotive and Mechanical Engineering, China (and 1 more)
- Kai Gao 0011 — National University of Defense Technology, College of Intelligence Science and Technology, Changsha, China
- Kai Gao 0012 — Northwestern Polytechnical University, School of Automation, Xi'an, China
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2020 – today
- 2026
[c21]Yifan Wang, Peiwu Wang, Yunxian Chi, Zhinan Gou, Kai Gao:
Mitigating Multimodal Inconsistency via Cognitive Dual-Pathway Reasoning for Intent Recognition. ICMR 2026: 797-806- [i13]Yifan Wang, Peiwu Wang, Yunxian Chi, Zhinan Gou, Kai Gao:
Mitigating Multimodal Inconsistency via Cognitive Dual-Pathway Reasoning for Intent Recognition. CoRR abs/2605.09468 (2026) - 2025
- [j18]Zhinan Gou, Yuchen Long, Jieli Sun, Kai Gao:
TG-ERC: Utilizing three generation models to handle emotion recognition in conversation tasks. Expert Syst. Appl. 268: 126269 (2025) - [j17]Songze Li, Zhijing Wu, Runmin Cao, Xiaohan Zhang, Yifan Wang, Hua Xu, Kai Gao:
Learning how to transfer: A lifelong domain knowledge distillation framework for continual MRC. Intell. Syst. Appl. 26: 200497 (2025) - [j16]Xiaohan Zhang, Runmin Cao, Yifan Wang, Songze Li, Hua Xu, Kai Gao, Lunsong Huang:
A unified prompt-based framework for few-shot multimodal language analysis. Intell. Syst. Appl. 26: 200498 (2025) - [j15]Hanlei Zhang, Qianrui Zhou, Hua Xu, Jianhua Su, Roberto Evans, Kai Gao:
Multimodal Classification and Out-of-Distribution Detection for Multimodal Intent Understanding. IEEE Trans. Multim. 27: 9887-9901 (2025) - 2024
- [j14]Weilong Liu, Hua Xu, Yu Hua, Yunxian Chi, Kai Gao:
AdaFN-AG: Enhancing multimodal interaction with Adaptive Feature Normalization for multimodal sentiment analysis. Intell. Syst. Appl. 23: 200410 (2024) - [j13]Ziqi Yuan, Jingliang Fang, Hua Xu, Kai Gao:
Multimodal Consistency-Based Teacher for Semi-Supervised Multimodal Sentiment Analysis. IEEE ACM Trans. Audio Speech Lang. Process. 32: 3669-3683 (2024) - [j12]Hanlei Zhang, Hua Xu, Xin Wang, Fei Long, Kai Gao:
A Clustering Framework for Unsupervised and Semi-Supervised New Intent Discovery. IEEE Trans. Knowl. Data Eng. 36(11): 5468-5481 (2024) - [j11]Ziqi Yuan, Yihe Liu, Hua Xu, Kai Gao:
Noise Imitation Based Adversarial Training for Robust Multimodal Sentiment Analysis. IEEE Trans. Multim. 26: 529-539 (2024) - [j10]Ziqi Yuan, Baozheng Zhang, Hua Xu, Kai Gao:
Meta Noise Adaption Framework for Multimodal Sentiment Analysis With Feature Noise. IEEE Trans. Multim. 26: 7265-7277 (2024) - [j9]Baozheng Zhang, Ziqi Yuan, Hua Xu, Kai Gao:
Crossmodal Translation Based Meta Weight Adaption for Robust Image-Text Sentiment Analysis. IEEE Trans. Multim. 26: 9949-9961 (2024) - [c20]Qianrui Zhou, Hua Xu, Hao Li, Hanlei Zhang, Xiaohan Zhang, Yifan Wang, Kai Gao:
Token-Level Contrastive Learning with Modality-Aware Prompting for Multimodal Intent Recognition. AAAI 2024: 17114-17122 - [c19]Ziqi Yuan, Baozheng Zhang, Hua Xu, Zhiyun Liang, Kai Gao:
OpenVNA: A Framework for Analyzing the Behavior of Multimodal Language Understanding System under Noisy Scenarios. ACL (3) 2024: 9-18 - [c18]Hanlei Zhang, Hua Xu, Fei Long, Xin Wang, Kai Gao:
Unsupervised Multimodal Clustering for Semantics Discovery in Multimodal Utterances. ACL (1) 2024: 18-35 - [c17]Hanlei Zhang, Xin Wang, Hua Xu, Qianrui Zhou, Kai Gao, Jianhua Su, Jinyue Zhao, Wenrui Li, Yanting Chen:
MIntRec2.0: A Large-scale Benchmark Dataset for Multimodal Intent Recognition and Out-of-scope Detection in Conversations. ICLR 2024 - [i12]Hanlei Zhang, Xin Wang, Hua Xu, Qianrui Zhou, Kai Gao, Jianhua Su, Jinyue Zhao, Wenrui Li, Yanting Chen:
MIntRec2.0: A Large-scale Benchmark Dataset for Multimodal Intent Recognition and Out-of-scope Detection in Conversations. CoRR abs/2403.10943 (2024) - [i11]Hanlei Zhang, Hua Xu, Fei Long, Xin Wang, Kai Gao:
Unsupervised Multimodal Clustering for Semantics Discovery in Multimodal Utterances. CoRR abs/2405.12775 (2024) - [i10]Ziqi Yuan, Baozheng Zhang, Hua Xu, Zhiyun Liang, Kai Gao:
OpenVNA: A Framework for Analyzing the Behavior of Multimodal Language Understanding System under Noisy Scenarios. CoRR abs/2407.02773 (2024) - [i9]Hanlei Zhang, Qianrui Zhou, Hua Xu, Jianhua Su, Roberto Evans, Kai Gao:
Multimodal Classification and Out-of-distribution Detection for Multimodal Intent Understanding. CoRR abs/2412.12453 (2024) - 2023
- [j8]Zhinan Gou, Yan Li, Yuanzhen Liu, Kai Gao:
Topic model for personalized end-to-end task-oriented dialogue. Expert Syst. Appl. 212: 118805 (2023) - [j7]Jingliang Fang, Hua Xu, Zhijing Wu, Kai Gao, Xiaoyin Che, Haotian Hui:
Robustness-Eva-MRC: Assessing and analyzing the robustness of neural models in extractive machine reading comprehension. Intell. Syst. Appl. 20: 200287 (2023) - [i8]Hanlei Zhang, Hua Xu, Xin Wang, Fei Long, Kai Gao:
USNID: A Framework for Unsupervised and Semi-supervised New Intent Discovery. CoRR abs/2304.07699 (2023) - [i7]Qianrui Zhou, Hua Xu, Hao Li, Hanlei Zhang, Xiaohan Zhang, Yifan Wang, Kai Gao:
Token-Level Contrastive Learning with Modality-Aware Prompting for Multimodal Intent Recognition. CoRR abs/2312.14667 (2023) - 2022
- [j6]Hua Xu, Ziqi Yuan, Kang Zhao, Yunfeng Xu, Jiyun Zou, Kai Gao:
GAR-Net: A Graph Attention Reasoning Network for conversation understanding. Knowl. Based Syst. 240: 108055 (2022) - [c16]Huisheng Mao, Baozheng Zhang, Hua Xu, Kai Gao:
An End-to-End Traditional Chinese Medicine Constitution Assessment System Based on Multimodal Clinical Feature Representation and Fusion. AAAI 2022: 13200-13202 - [c15]Huisheng Mao, Ziqi Yuan, Hua Xu, Wenmeng Yu, Yihe Liu, Kai Gao:
M-SENA: An Integrated Platform for Multimodal Sentiment Analysis. ACL (demo) 2022: 204-213 - [c14]Kang Zhao, Hua Xu, Jiangong Yang, Kai Gao:
Consistent Representation Learning for Continual Relation Extraction. ACL (Findings) 2022: 3402-3411 - [c13]Zhijing Wu, Jingliang Fang, Hua Xu, Kai Gao:
An In-depth Interactive and Visualized Platform for Evaluating and Analyzing MRC Models. CIKM 2022: 5044-5048 - [c12]Yihe Liu, Ziqi Yuan, Huisheng Mao, Zhiyun Liang, Wanqiuyue Yang, Yuanzhe Qiu, Tie Cheng, Xiaoteng Li, Hua Xu, Kai Gao:
Make Acoustic and Visual Cues Matter: CH-SIMS v2.0 Dataset and AV-Mixup Consistent Module. ICMI 2022: 247-258 - [c11]Zhijing Wu, Hua Xu, Jingliang Fang, Kai Gao:
Continual Machine Reading Comprehension via Uncertainty-aware Fixed Memory and Adversarial Domain Adaptation. NAACL-HLT (Findings) 2022: 2330-2339 - [i6]Kang Zhao, Hua Xu, Jiangong Yang, Kai Gao:
Consistent Representation Learning for Continual Relation Extraction. CoRR abs/2203.02721 (2022) - [i5]Huisheng Mao, Ziqi Yuan, Hua Xu, Wenmeng Yu, Yihe Liu, Kai Gao:
M-SENA: An Integrated Platform for Multimodal Sentiment Analysis. CoRR abs/2203.12441 (2022) - [i4]Zhijing Wu, Hua Xu, Jingliang Fang, Kai Gao:
Continual Machine Reading Comprehension via Uncertainty-aware Fixed Memory and Adversarial Domain Adaptation. CoRR abs/2208.05217 (2022) - [i3]Yihe Liu, Ziqi Yuan, Huisheng Mao, Zhiyun Liang, Wanqiuyue Yang, Yuanzhe Qiu, Tie Cheng, Xiaoteng Li, Hua Xu, Kai Gao:
Make Acoustic and Visual Cues Matter: CH-SIMS v2.0 Dataset and AV-Mixup Consistent Module. CoRR abs/2209.02604 (2022) - [i2]Kaicheng Yang, Ruxuan Zhang, Hua Xu, Kai Gao:
A Self-Adjusting Fusion Representation Learning Model for Unaligned Text-Audio Sequences. CoRR abs/2212.11772 (2022) - 2021
- [j5]Kang Zhao, Hua Xu, Yue Cheng, Xiaoteng Li, Kai Gao:
Representation iterative fusion based on heterogeneous graph neural network for joint entity and relation extraction. Knowl. Based Syst. 219: 106888 (2021) - [c10]Hanlei Zhang, Xiaoteng Li, Hua Xu, Panpan Zhang, Kang Zhao, Kai Gao:
TEXTOIR: An Integrated and Visualized Platform for Text Open Intent Recognition. ACL (demo) 2021: 167-174 - [i1]Hanlei Zhang, Xiaoteng Li, Hua Xu, Panpan Zhang, Kang Zhao, Kai Gao:
TEXTOIR: An Integrated and Visualized Platform for Text Open Intent Recognition. CoRR abs/2110.15063 (2021) - 2020
- [j4]Yuxiang Xie, Hua Xu, Jiaoe Li, Congcong Yang, Kai Gao:
Heterogeneous graph neural networks for noisy few-shot relation classification. Knowl. Based Syst. 194: 105548 (2020) - [c9]Yuxiang Xie, Hua Xu, Congcong Yang, Kai Gao:
Multi-Channel Convolutional Neural Networks with Adversarial Training for Few-Shot Relation Classification (Student Abstract). AAAI 2020: 13967-13968 - [c8]Linfang Wu, Hua-Ping Zhang, Yaofei Yang, Xin Liu, Kai Gao:
Dynamic Prototype Selection by Fusing Attention Mechanism for Few-Shot Relation Classification. ACIIDS (1) 2020: 431-441 - [c7]Kaicheng Yang, Hua Xu, Kai Gao:
CM-BERT: Cross-Modal BERT for Text-Audio Sentiment Analysis. ACM Multimedia 2020: 521-528
2010 – 2019
- 2018
- [c6]Kai Gao, Hua Xu, Chengliang Gao, Xiaomin Sun, Junhui Deng, Xiaoming Zhang:
Two-Stage Attention Network for Aspect-Level Sentiment Classification. ICONIP (4) 2018: 316-325 - [c5]Kai Gao, Hua Xu, Chengliang Gao, Hanyong Hao, Junhui Deng, Xiaomin Sun:
Attention-Based BiLSTM Network with Lexical Feature for Emotion Classification. IJCNN 2018: 1-2 - 2017
- [c4]Shen Gao, Hua-Ping Zhang, Kai Gao:
Text Understanding with a Hybrid Neural Network Based Learning. ICPCSEE (2) 2017: 115-125 - [c3]Shen Gao, Hua-Ping Zhang, Kai Gao:
A Convolutional Neural Network Based Sentiment Classification and the Convolutional Kernel Representation. NLDB 2017: 287-291 - 2015
- [j3]Kai Gao, Hua Xu, Jiushuo Wang:
A rule-based approach to emotion cause detection for Chinese micro-blogs. Expert Syst. Appl. 42(9): 4517-4528 (2015) - [c2]Kai Gao, Hua Xu, Jiushuo Wang:
Emotion Cause Detection for Chinese Micro-Blogs Based on ECOCC Model. PAKDD (2) 2015: 3-14 - 2014
- [c1]Kai Gao, Hua Xu, Jiushuo Wang:
Emotion classification based on structured information. MFI 2014: 1-6 - 2013
- [j2]Kai Gao, Hua-Ping Zhang, Yun-Feng Xu, Guo-Jiang Gao, Yang-Jie Li:
Design and analysis of genetic algorithm based Chinese keyword extracting. Int. J. Comput. Appl. Technol. 48(1): 27-35 (2013) - [j1]Kai Gao, Hua-Ping Zhang, Sheng-wang Li, Wei Wang, Jing Qiu:
Research on classification algorithm and its application in cased-based reasoning. Int. J. Comput. Appl. Technol. 48(4): 373-381 (2013)
Coauthor Index
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last updated on 2026-08-04 23:11 CEST by the dblp team
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