Anqi Huang

According to our database, Anqi Huang authored at least 13 papers between 2024 and 2026.

Collaborative distances:

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

2026

A novel span and syntax enhanced large language model based framework for fine-grained sentiment analysis.

Haochen Zou, Yongli Wang, Anqi Huang

Neural Networks, 2026

RRQ: Relative residual potential functions with knowledge-distilled value decomposition for MARL.

Anqi Huang, Zhiqun Pan, Xiaoliang Zhou

Neurocomputing, 2026

Large language model augmented joint learning framework for entity-relation extraction.

Haochen Zou, Yongli Wang, Anqi Huang

Appl. Soft Comput., 2026

GCDTA: Graph-attention-assisted contrastive learning for drug-target affinity prediction.

Anqi Huang, Xiaoliang Zhou, Yupeng Wang, Ning Yu

Appl. Soft Comput., 2026

2025

QVF: Incorporating quantile value function factorization into cooperative multi-agent reinforcement learning.

Anqi Huang, Yongli Wang, Ruoze Liu, Haochen Zou, Xiaoliang Zhou

Pattern Recognit., 2025

Multi-level feature fusion networks for smoke recognition in remote sensing imagery.

Yupeng Wang, Yongli Wang, Zaki Ahmad Khan, Anqi Huang, Jianghui Sang

Neural Networks, 2025

An innovative multi-view collaborative optimization framework for Weighted Naive Bayes.

Xiaoliang Zhou, Yongli Wang, Li Zhang, Anqi Huang, Xiaoli Wang

Knowl. Based Syst., 2025

Knowledge-augmented large language model-based framework for adverse drug reaction analysis.

Haochen Zou, Yongli Wang, Kun Xiang, Anqi Huang

Appl. Soft Comput., 2025

WaveDSTG: A Multiscale Wavelet-Based Spatio-Temporal Attention for Temporal Knowledge Graphs Reasoning.

Jiayi Zhao, Yongli Wang, Anqi Huang, Dongmei Liu

Proceedings of the PRICAI 2025: Trends in Artificial Intelligence, 2025

Global-Semantic Alignment Distillation for Partial Multi-view Classification.

Xiaoli Wang, Anqi Huang, Yongli Wang, Guanzhou Ke, Xiaobin Hong, Jun Liu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Trusted Semi-Supervised Multi-View Classification With Contrastive Learning.

Xiaoli Wang, Yongli Wang, Yupeng Wang, Anqi Huang, Jun Liu

IEEE Trans. Multim., 2024

Optimistic sequential multi-agent reinforcement learning with motivational communication.

Anqi Huang, Yongli Wang, Xiaoliang Zhou, Haochen Zou, Xu Dong, Xun Che

Neural Networks, 2024

DVF:Multi-agent Q-learning with difference value factorization.

Anqi Huang, Yongli Wang, Jianghui Sang, Xiaoli Wang, Yupeng Wang

Knowl. Based Syst., 2024