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Wei Ai 0001
Person information
- affiliation: Central South University of Forestry and Technology, Changsha, Hunan, China
Other persons with the same name
- Wei Ai — disambiguation page
- Wei Ai 0002 — University of Maryland, College Park, MD, USA
- Wei Ai 0003 — Huazhong University of Science and Technology, The Central Hospital of Wuhan, Wuhan, China
- Wei Ai 0004 — Huazhong Institute of Electro-Optics, China
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2020 – today
- 2024
- [j14]Yi Liu, Xuan Wang, Tao Meng, Wei Ai, Keqin Li:
LG-GNN: Local and Global Information-aware Graph Neural Network for default detection. Comput. Oper. Res. 169: 106738 (2024) - [j13]Wei Ai, Yingying Wei, Hongen Shao, Yuntao Shou, Tao Meng, Keqin Li:
Edge-enhanced minimum-margin graph attention network for short text classification. Expert Syst. Appl. 251: 124069 (2024) - [j12]Tao Meng, Yuntao Shou, Wei Ai, Jiayi Du, Haiyan Liu, Keqin Li:
A multi-message passing framework based on heterogeneous graphs in conversational emotion recognition. Neurocomputing 569: 127109 (2024) - [j11]Yuntao Shou, Tao Meng, Wei Ai, Fuchen Zhang, Nan Yin, Keqin Li:
Adversarial alignment and graph fusion via information bottleneck for multimodal emotion recognition in conversations. Inf. Fusion 112: 102590 (2024) - [j10]Zhao Tong, Yuanyang Zhang, Jing Mei, Wei Ai, Kenli Li, Keqin Li:
Stackelberg Game-Based Bandwidth Allocation and Resource Pricing for Multiuser in MEC System. IEEE Internet Things J. 11(13): 23737-23751 (2024) - [j9]Yiping Zhang, Yuntao Shou, Tao Meng, Wei Ai, Keqin Li:
A multi-view mask contrastive learning graph convolutional neural network for age estimation. Knowl. Inf. Syst. 66(11): 7137-7162 (2024) - [j8]Tao Meng, Fuchen Zhang, Yuntao Shou, Hongen Shao, Wei Ai, Keqin Li:
Masked Graph Learning With Recurrent Alignment for Multimodal Emotion Recognition in Conversation. IEEE ACM Trans. Audio Speech Lang. Process. 32: 4298-4312 (2024) - [j7]Wei Ai, CanHao Xie, Tao Meng, Jiayi Du, Keqin Li:
A D-Truss-Equivalence Based Index for Community Search Over Large Directed Graphs. IEEE Trans. Knowl. Data Eng. 36(11): 5482-5494 (2024) - [i16]Wei Ai, Fuchen Zhang, Tao Meng, Yuntao Shou, Hongen Shao, Keqin Li:
A Two-Stage Multimodal Emotion Recognition Model Based on Graph Contrastive Learning. CoRR abs/2401.01495 (2024) - [i15]Wei Ai, CanHao Xie, Tao Meng, Yinghao Wu, Keqin Li:
An Effective Index for Truss-based Community Search on Large Directed Graphs. CoRR abs/2401.10641 (2024) - [i14]Jiayi Du, Yinghao Wu, Wei Ai, Tao Meng, CanHao Xie, Keqin Li:
Fast Butterfly-Core Community Search For Large Labeled Graphs. CoRR abs/2401.10642 (2024) - [i13]Tao Meng, Fuchen Zhang, Yuntao Shou, Wei Ai, Nan Yin, Keqin Li:
Revisiting Multimodal Emotion Recognition in Conversation from the Perspective of Graph Spectrum. CoRR abs/2404.17862 (2024) - [i12]Yuntao Shou, Wei Ai, Jiayi Du, Tao Meng, Haiyan Liu:
Efficient Long-distance Latent Relation-aware Graph Neural Network for Multi-modal Emotion Recognition in Conversations. CoRR abs/2407.00119 (2024) - [i11]Yiping Zhang, Yuntao Shou, Tao Meng, Wei Ai, Keqin Li:
A Multi-view Mask Contrastive Learning Graph Convolutional Neural Network for Age Estimation. CoRR abs/2407.16234 (2024) - [i10]Tao Meng, Fuchen Zhang, Yuntao Shou, Hongen Shao, Wei Ai, Keqin Li:
Masked Graph Learning with Recurrent Alignment for Multimodal Emotion Recognition in Conversation. CoRR abs/2407.16714 (2024) - [i9]Wei Ai, Wen Deng, Hongyi Chen, Jiayi Du, Tao Meng, Yuntao Shou:
MCSFF: Multi-modal Consistency and Specificity Fusion Framework for Entity Alignment. CoRR abs/2410.14584 (2024) - [i8]Wei Ai, Jianbin Li, Ze Wang, Jiayi Du, Tao Meng, Yuntao Shou, Keqin Li:
Graph Contrastive Learning via Cluster-refined Negative Sampling for Semi-supervised Text Classification. CoRR abs/2410.18130 (2024) - [i7]Wei Ai, Yinghui Gao, Jianbin Li, Jiayi Du, Tao Meng, Yuntao Shou, Keqin Li:
SEG:Seeds-Enhanced Iterative Refinement Graph Neural Network for Entity Alignment. CoRR abs/2410.20733 (2024) - 2023
- [j6]Wei Ai, Ze Wang, Hongen Shao, Tao Meng, Keqin Li:
A multi-semantic passing framework for semi-supervised long text classification. Appl. Intell. 53(17): 20174-20190 (2023) - [c7]Wei Ai, CanHao Xie, Tao Meng, Yinghao Wu, Keqin Li:
An Effective Index for Truss-based Community Search on Large Directed Graphs. ICPADS 2023: 384-389 - [c6]Jiayi Du, Yinghao Wu, Wei Ai, Tao Meng, CanHao Xie, Keqin Li:
Fast Butterfly-Core Community Search For Large Labeled Graphs. ICPADS 2023: 390-396 - [c5]Wei Ai, Fuchen Zhang, Tao Meng, Yuntao Shou, Hongen Shao, Keqin Li:
A Two-Stage Multimodal Emotion Recognition Model Based on Graph Contrastive Learning. ICPADS 2023: 397-404 - [c4]Yuntao Shou, Wei Ai, Tao Meng, Fuchen Zhang, Keqin Li:
GraphUnet: Graph Make Strong Encoders for Remote Sensing Segmentation. ICPADS 2023: 2734-2737 - [i6]Yuntao Shou, Wei Ai, Tao Meng, Keqin Li:
CZL-CIAE: CLIP-driven Zero-shot Learning for Correcting Inverse Age Estimation. CoRR abs/2312.01758 (2023) - [i5]Yuntao Shou, Wei Ai, Tao Meng:
Graph Information Bottleneck for Remote Sensing Segmentation. CoRR abs/2312.02545 (2023) - [i4]Yuntao Shou, Tao Meng, Wei Ai, Nan Yin, Keqin Li:
A Comprehensive Survey on Multi-modal Conversational Emotion Recognition with Deep Learning. CoRR abs/2312.05735 (2023) - [i3]Tao Meng, Yuntao Shou, Wei Ai, Nan Yin, Keqin Li:
Deep Imbalanced Learning for Multimodal Emotion Recognition in Conversations. CoRR abs/2312.06337 (2023) - [i2]Wei Ai, Yuntao Shou, Tao Meng, Keqin Li:
DER-GCN: Dialogue and Event Relation-Aware Graph Convolutional Neural Network for Multimodal Dialogue Emotion Recognition. CoRR abs/2312.10579 (2023) - [i1]Yuntao Shou, Tao Meng, Wei Ai, Keqin Li:
Adversarial Representation with Intra-Modal and Inter-Modal Graph Contrastive Learning for Multimodal Emotion Recognition. CoRR abs/2312.16778 (2023) - 2022
- [j5]Wei Ai, Hongen Shao, Jia Xu, Tao Meng, Keqin Li:
A Two-Channel Chinese Enterprise Abbreviation Generation Method Based on an Enterprise Component and Single-Character Strategy. IEEE Access 10: 81123-81133 (2022) - [j4]Yuntao Shou, Tao Meng, Wei Ai, Sihan Yang, Keqin Li:
Conversational emotion recognition studies based on graph convolutional neural networks and a dependent syntactic analysis. Neurocomputing 501: 629-639 (2022) - [c3]Jiayi Du, Yulu Liu, Wei Ai, Hongen Shao, Tao Meng:
Entity Alignment Based on Latent Structural Information Mining Graph Convolutional Networks. HPCC/DSS/SmartCity/DependSys 2022: 1570-1576 - 2021
- [c2]Wei Ai, Jia Xu, Hongen Shao, Ze Wang, Tao Meng:
An Entity Event Deduplication Method Based on Connected Subgraph. ICSAI 2021: 1-6
2010 – 2019
- 2018
- [j3]Wei Ai, Kenli Li, Keqin Li:
An effective hot topic detection method for microblog on spark. Appl. Soft Comput. 70: 1010-1023 (2018) - 2017
- [c1]Wei Ai, Kenli Li, Cen Chen, Jiwu Peng, Keqin Li:
DHCRF: A Distributed Conditional Random Field Algorithm on a Heterogeneous CPU-GPU Cluster for Big Data. ICDCS 2017: 2372-2379 - 2016
- [j2]Wei Ai, Kenli Li, Shenglin Lan, Fan Zhang, Jing Mei, Keqin Li, Rajkumar Buyya:
On Elasticity Measurement in Cloud Computing. Sci. Program. 2016: 7519507:1-7519507:13 (2016) - 2015
- [j1]Kenli Li, Wei Ai, Zhuo Tang, Fan Zhang, Lingang Jiang, Keqin Li, Kai Hwang:
Hadoop Recognition of Biomedical Named Entity Using Conditional Random Fields. IEEE Trans. Parallel Distributed Syst. 26(11): 3040-3051 (2015)
Coauthor Index
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