Yuncheng Jiang

According to our database, Yuncheng Jiang authored at least 22 papers between 2019 and 2026.

Collaborative distances:

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

2026

GRCF: Two-Stage Groupwise Ranking and Calibration Framework for Multimodal Sentiment Analysis.

Manning Gao, Leheng Zhang, Shiqin Han, Haifeng Hu, Yuncheng Jiang, Sijie Mai

CoRR, January, 2026

Cross Modal Fine-grained Alignment via Granularity-aware and Region-uncertain Modeling.

Jiale Liu, Haoming Zhou, Yishu Liu, Bingzhi Chen, Yuncheng Jiang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Beyond Cosine Similarity: Magnitude-Aware CLIP for No-Reference Image Quality Assessment.

Zhicheng Liao, Dongxu Wu, Zhenshan Shi, Sijie Mai, Hanwei Zhu, Lingyu Zhu, Yuncheng Jiang, Baoliang Chen

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

TOPOGRAPH: Topology-Preserving Graph Reduction with Adaptive Structure for Persistent Homology.

Zonghao Chen, Yuncheng Jiang, Gang Li

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Towards Minimal Causal Representations for Human Multimodal Language Understanding.

Menghua Jiang, Yuncheng Jiang, Haifeng Hu, Sijie Mai

CoRR, September, 2025

Uncertainty-Aware Collaborative System of Large and Small Models for Multimodal Sentiment Analysis.

Shiqin Han, Manning Gao, Menghua Jiang, Yuncheng Jiang, Haifeng Hu, Sijie Mai

CoRR, September, 2025

Hyperbolic Hypergraph Transformer With Knowledge State Disentanglement for Knowledge Tracing.

Jiawei Li, Shun Mao, Yixiu Qin, Feng Wang, Yuncheng Jiang

IEEE Trans. Knowl. Data Eng., August, 2025

Modeling the Type Hierarchy in High-Dimensional Box Space for Fine-Grained Entity Typing.

Yixiu Qin, Feng Wang, Jiawei Li, Yuanfei Deng, Shun Mao, Yuncheng Jiang

IEEE Trans. Comput. Soc. Syst., August, 2025

Disentangling Bias by Modeling Intra- and Inter-modal Causal Attention for Multimodal Sentiment Analysis.

Menghua Jiang, Yuxia Lin, Baoliang Chen, Haifeng Hu, Yuncheng Jiang, Sijie Mai

CoRR, August, 2025

Multimodal Large Language Models for End-to-End Affective Computing: Benchmarking and Boosting with Generative Knowledge Prompting.

Miaosen Luo, Jiesen Long, Zequn Li, Yunying Yang, Yuncheng Jiang, Sijie Mai

CoRR, August, 2025

Dual-Channel Adaptive Scale Hypergraph Encoders With Cross-View Contrastive Learning for Knowledge Tracing.

Jiawei Li, Yuanfei Deng, Yixiu Qin, Shun Mao, Yuncheng Jiang

IEEE Trans. Neural Networks Learn. Syst., April, 2025

Motif and supernode-enhanced gated graph neural networks for session-based recommendation.

Ronghua Lin, Chang Liu, Hao Zhong, Chengzhe Yuan, Guohua Chen, Yuncheng Jiang, Yong Tang

Neural Networks, 2025

Improving exercise-level Knowledge Tracing via Knowledge Concept-based Memory Network.

Shun Mao, Jieyu Zhan, Yuanfei Deng, Yixiu Qin, Yuncheng Jiang

Expert Syst. Appl., 2025

Towards Explainable Fusion and Balanced Learning in Multimodal Sentiment Analysis.

Miaosen Luo, Yuncheng Jiang, Sijie Mai

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

2024

Contrastive cross-domain sequential recommendation via emphasized intention features.

Ruoxin Ni, Weishan Cai, Yuncheng Jiang

Neural Networks, 2024

An unsupervised multi-view contrastive learning framework with attention-based reranking strategy for entity alignment.

Yan Liang, Weishan Cai, Minghao Yang, Yuncheng Jiang

Neural Networks, 2024

Combating Visual Question Answering Hallucinations via Robust Multi-Space Co-Debias Learning.

Jiawei Zhu, Yishu Liu, Huanjia Zhu, Hui Lin, Yuncheng Jiang, Zheng Zhang, Bingzhi Chen

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023

Improved Box Embeddings for Fine-Grained Entity Typing.

Yixiu Qin, Yizhao Wang, Jiawei Li, Shun Mao, He Wang, Yuncheng Jiang

IEEE Trans. Big Data, December, 2023

Improving Knowledge Tracing via Considering Two Types of Actual Differences From Exercises and Prior Knowledge.

Shun Mao, Jieyu Zhan, Yizhao Wang, Yuncheng Jiang

IEEE Trans. Learn. Technol., June, 2023

Text FCG: Fusing Contextual Information via Graph Learning for text classification.

Yizhao Wang, Chenxi Wang, Jieyu Zhan, Wenjun Ma, Yuncheng Jiang

Expert Syst. Appl., June, 2023

Contrastive Multi-view Learning for Graph Stucture Learning.

Kai Huang, Dengzhe Liang, He Wang, Yuncheng Jiang

Proceedings of the IEEE International Conference on Big Data, 2023

2019

Predicting Students' Academic Procrastination in Blended Learning Course Using Homework Submission Data.

Aftab Akram, Chengzhou Fu, Yuyao Li, Muhammad Yaqoob Javed, Ronghua Lin, Yuncheng Jiang, Yong Tang

IEEE Access, 2019