Ruiting Dai

According to our database, Ruiting Dai authored at least 27 papers between 2022 and 2026.

Collaborative distances:

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

2026

DenoiseFlow: Uncertainty-Aware Denoising for Reliable LLM Agentic Workflows.

Yandong Yan, Junwei Peng, Shijie Li, Chenxi Li, Yifei Shang, Can Deng, Ruiting Dai, Yongqiang Zhao, Jiaqi Zhu, Yu Huang

CoRR, March, 2026

OMG-Agent: Toward Robust Missing Modality Generation with Decoupled Coarse-to-Fine Agentic Workflows.

Ruiting Dai, Zheyu Wang, Haoyu Yang, Yihan Liu, Chengzhi Wang, Zekun Zhang, Zishan Huang, Jiaman Cen, Lisi Mo

CoRR, February, 2026

Anchor Drift No More: Hierarchical Consistency-Guided Prompt Distillation for Incomplete Multimodal Learning.

Ruiting Dai, Zesen Cai, Lisi Mo, Guiduo Duan, Keren Shi, Tao He

Proceedings of the ACM Web Conference 2026, 2026

Weather-Aware Dual-Stage Pseudo-Labeling for Unsupervised Domain Adaptive Object Detection.

Shuo Feng, Zhihao Qin, Ke Qin, Ruiting Dai, Tao He

Proceedings of the 2026 9th International Conference on Software Engineering and Information Management, 2026

Causality Matters: Temporal Causal-Aware Reasoning for Multimodal Learning under Missing Modalities.

Qian Dong, Jiayu An, Tianqi Lu, Tao He, Ruiting Dai

Proceedings of the 2026 9th International Conference on Software Engineering and Information Management, 2026

2025

Graph-based Multi-Modal Interaction Lightweight Network for Brain Tumor Segmentation (GMLN-BTS) in Edge Iterative MRI Lesion Localization System (EdgeIMLocSys).

Guohao Huo, Ruiting Dai, Hao Tang

CoRR, July, 2025

SAMba-UNet: Synergizing SAM2 and Mamba in UNet with Heterogeneous Aggregation for Cardiac MRI Segmentation.

Guohao Huo, Ruiting Dai, Hao Tang

CoRR, May, 2025

DMS-Net:Dual-Modal Multi-Scale Siamese Network for Binocular Fundus Image Classification.

Guohao Huo, Zibo Lin, Zitong Wang, Ruiting Dai, Hao Tang

CoRR, April, 2025

Beyond Existance: Fulfill 3D Reconstructed Scenes with Pseudo Details.

Yifei Gao, Jun Huang, Lei Wang, Ruiting Dai, Jun Cheng

CoRR, March, 2025

FE-UNet: Frequency Domain Enhanced U-Net with Segment Anything Capability for Versatile Image Segmentation.

Guohao Huo, Ruiting Dai, Ling Shao, Hao Tang

CoRR, February, 2025

AADNet: Exploring EEG Spatiotemporal Information for Fast and Accurate Orientation and Timbre Detection of Auditory Attention Based on A Cue-Masked Paradigm.

Keren Shi, Xu Liu, Xue Yuan, Haijie Shang, Ruiting Dai, Hanbin Wang, Yunfa Fu, Ning Jiang, Jiayuan He

CoRR, January, 2025

A unified cross-source context enhancement model for multi-source fake news detection.

Ruiting Dai, Haoran Meng, Zhengdao Yuan, Lisi Mo, Wenwei Zhu, Tao He

Knowl. Based Syst., 2025

Unbiased multimodal intent recognition with auxiliary rationale generation.

Qian Dong, Ruiting Dai, Guiduo Duan, Ke Qin, Yuyang Zhang, Tao He

Neurocomputing, 2025

<i>γ</i>-CRD: Gamma-Cooperative Retrieval Diffusion Model for Robust Incomplete Multimodal Learning.

Ruiting Dai, Wenwei Zhu, Zheyu Wang, Haoran Meng, Zhengdao Yuan, Yandong Yan, Lisi Mo

Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

RobustPT: Dynamic Disentanglement Prompt Tuning in Vision-Language Models with Missing Modalities.

Ruiting Dai, Yuqiao Tan, Lisi Mo, Tao He, Ke Qin, Shuang Liang

Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

Energy Propagation-based Rumor Suppression on Complex Social Networks.

Yujiang Ma, Ruiting Dai, Ke Qin

Proceedings of the 2025 8th International Conference on Software Engineering and Information Management, 2025

Efficient Wavelet Attention with Trainable Frequency Filter for Multi-modal Sequential Recommendation.

Yuang Jia, Ruiting Dai, Lisi Mo, Ke Qin

Proceedings of the 2025 8th International Conference on Software Engineering and Information Management, 2025

An Attention-Based Heterogeneous Graph Convolutional Network for Social Account Classification.

Ruiting Dai, Guohao Huo, Lisi Mo, Ke Qin

Proceedings of the 2025 8th International Conference on Software Engineering and Information Management, 2025

Unbiased Missing-Modality Multimodal Learning.

Ruiting Dai, Chenxi Li, Yandong Yan, Lisi Mo, Ke Qin, Tao He

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

MuAP: Multi-step Adaptive Prompt Learning for Vision-Language Model with Missing Modality.

Ruiting Dai, Yuqiao Tan, Lisi Mo, Tao He, Ke Qin, Shuang Liang

CoRR, 2024

Compensate Quantization Errors: Make Weights Hierarchical to Compensate Each Other.

Yifei Gao, Jie Ou, Lei Wang, Yuting Xiao, Zhiyuan Xiang, Ruiting Dai, Jun Cheng

CoRR, 2024

Compensate Quantization Errors: Make Weights Hierarchical to Compensate Each Other.

Yifei Gao, Jie Ou, Lei Wang, Yuting Xiao, Xiangzhiyuan Xiangzhiyuan, Ruiting Dai, Jun Cheng

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

G-SAP: Graph-based Structure-Aware Prompt Learning over Heterogeneous Knowledge for Commonsense Reasoning.

Ruiting Dai, Yuqiao Tan, Lisi Mo, Shuang Liang, Guohao Huo, Jiayi Luo, Yao Cheng

Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024

ACT-R Theory Can Promote Personality Analysis of Social Network Subjects.

Li-Teng Miao, Yi-Zhuo Ma, Ke Qin, Ruiting Dai, Ahmad Raza

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

2023

Multi-modal Representation Learning for Social Post Location Inference.

Ruiting Dai, Jiayi Luo, Xucheng Luo, Lisi Mo, Wanlun Ma, Fan Zhou

Proceedings of the IEEE International Conference on Communications, 2023

2022

Exploring the New Practice of Higher Education Academic Advising Based on Educational Data Analysis Technology.

Zufeng Wu, Jingyou Peng, Ruiting Dai

Proceedings of the 2022 6th International Conference on Education and Multimedia Technology, 2022

Research on Online Education Model and Crisis Intervention System in Universities Perspective on Mental Health.

Ruiting Dai, Chizhi Chen, Zhiheng Hwang

Proceedings of the 2022 6th International Conference on Education and Multimedia Technology, 2022