Haozhou Li

According to our database, Haozhou Li authored at least 21 papers between 2019 and 2026.

Collaborative distances:

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

2026

Multimodal learning on heterogeneous subgraphs and LLMs representation for MHC-peptide binding affinity prediction.

Ruimeng Li, Ying Wang, Haozhou Li, Biyi Zhou, Qinke Peng

BMC Bioinform., December, 2026

PM-Nav: Priori-Map Guided Embodied Navigation in Functional Buildings.

Jiang Gao, Xiangyu Dong, Haozhou Li, Haoran Zhao, Yaoming Zhou, Xiaoguang Ma

CoRR, March, 2026

CMMR-VLN: Vision-and-Language Navigation via Continual Multimodal Memory Retrieval.

Haozhou Li, Xiangyu Dong, Huiyan Jiang, Yaoming Zhou, Xiaoguang Ma

CoRR, March, 2026

SEHLP: A summary-enhanced large language model for financial report sentiment analysis via hybrid LoRA and dynamic prefix tuning.

Haozhou Li, Qinke Peng, Xu Mou, Zeyuan Zeng, Ruimeng Li, Jinzhi Wang, Wentong Sun

Inf. Process. Manag., 2026

LumiCRS: Asymmetric contrastive prototype learning for long-tail conversational recommender systems.

Jinzhi Wang, Bin Li, Qingke Peng, Haozhou Li, Zeyuan Zeng, Ruimeng Li, Kaixuan Yang, Jiangbo Zhang, Biyi Zhou, Yaoying Wang

Appl. Soft Comput., 2026

2025

A Finetuning Deep Learning Framework for Pan-Species Promoters Identification With Pseudo Time Series Analysis on Time and Frequency Space.

Ruimeng Li, Qinke Peng, Haozhou Li, Wentong Sun

IEEE J. Biomed. Health Informatics, September, 2025

ElectriQ: A Benchmark for Assessing the Response Capability of Large Language Models in Power Marketing.

Jinzhi Wang, Qingke Peng, Haozhou Li, Zeyuan Zeng, Qinfeng Song, Kaixuan Yang, Jiangbo Zhang, Yaoying Wang, Ruimeng Li, Biyi Zhou

CoRR, July, 2025

SE-VLN: A Self-Evolving Vision-Language Navigation Framework Based on Multimodal Large Language Models.

Xiangyu Dong, Haoran Zhao, Jiang Gao, Haozhou Li, Xiaoguang Ma, Yaoming Zhou, Fuhai Chen, Juan Liu

CoRR, July, 2025

Dynamic Graph Attention Meets Pretrained Language Models: Adaptive K-Mer Decomposition for LncRNA-Protein Interaction Prediction.

Zeyuan Zeng, Jingxian Zeng, Defu Li, Qinke Peng, Haozhou Li, Ruimeng Li, Wentong Sun, Qingbo Zhang, Jinzhi Wang

IEEE Trans. Comput. Biol. Bioinform., 2025

Compound Interaction Presentation Learning for MHC-Peptide Binding Affinity Prediction.

Ruimeng Li, Qinke Peng, Haozhou Li, Zeyuan Zeng, Tian Han

IEEE Trans. Comput. Biol. Bioinform., 2025

CSTE: A Context-enhanced Speaker-aware Triple Encoding model for intelligent triage and diagnosis in medical dialogue.

Haozhou Li, Qinke Peng, Xinyuan Wang, Wentong Sun, Defu Li, Ruimeng Li

Inf. Process. Manag., 2025

Building a Chinese Medical Dialogue System: Integrating Large-scale Corpora and Novel Models.

Xinyuan Wang, Haozhou Li, Dingfang Zheng, Qinke Peng

Proceedings of the International Joint Conference on Neural Networks, 2025

2024

SEHF: A Summary-Enhanced Hierarchical Framework for Financial Report Sentiment Analysis.

Haozhou Li, Qinke Peng, Xinyuan Wang, Xu Mou, Yonghao Wang

IEEE Trans. Comput. Soc. Syst., June, 2024

Multi-document influence on readers: augmenting social emotion prediction by learning document interactions.

Xu Mou, Qinke Peng, Zhao Sun, Muhammad Fiaz Bashir, Haozhou Li

Neural Comput. Appl., April, 2024

SubstationAI: Multimodal Large Model-Based Approaches for Analyzing Substation Equipment Faults.

Jinzhi Wang, Qinfeng Song, Lidong Qian, Haozhou Li, Qinke Peng, Jiangbo Zhang

CoRR, 2024

LCMDC: Large-scale Chinese Medical Dialogue Corpora for Automatic Triage and Medical Consultation.

Xinyuan Wang, Haozhou Li, Dingfang Zheng, Qinke Peng

CoRR, 2024

SADE: A Speaker-Aware Dual Encoding Model Based on Diagbert for Medical Triage and Pre-Diagnosis.

Haozhou Li, Xinyuan Wang, Hongkai Du, Wentong Sun, Qinke Peng

Proceedings of the IEEE International Conference on Acoustics, 2024

User Linguistic Style Awareness and Interest-Driven Conversational Recommender Systems.

Hongkai Du, Haozhou Li, Qinke Peng, Laiyi Fu

Proceedings of the 4th IEEE International Conference on Digital Twins and Parallel Intelligence, 2024

2023

Abstractive Financial News Summarization via Transformer-BiLSTM Encoder and Graph Attention-Based Decoder.

Haozhou Li, Qinke Peng, Xu Mou, Ying Wang, Zeyuan Zeng, Muhammad Fiaz Bashir

IEEE ACM Trans. Audio Speech Lang. Process., 2023

2022

A successful hybrid deep learning model aiming at promoter identification.

Ying Wang, Qinke Peng, Xu Mou, Xinyuan Wang, Haozhou Li, Tian Han, Zhao Sun, Xiao Wang

BMC Bioinform., 2022

2019

A Deep Leaming Model with Multi-Scale Skip Connections for Solar Flare Prediction Combined with Prior Information.

Tian Han, Qinke Peng, Yiqing Shen, Haozhou Li, Yan Gu

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019