Hanzhu Chen

According to our database, Hanzhu Chen authored at least 14 papers between 2023 and 2025.

Collaborative distances:

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

2025

CATI: A medical context-enhanced framework for diagnosis code assignment in the UK Biobank study.

Yue Shen, Jie Wang, Zhe Wang, Zhihao Shi, Hanzhu Chen, Zheng Wang, Yukang Jiang, Xiaopu Wang, Chuandong Cheng, Xueqin Wang, Hongtu Zhu, Jieping Ye

Artif. Intell. Medicine, 2025

ROPO: Robust Preference Optimization for Large Language Models.

Xize Liang, Chao Chen, Shuang Qiu, Jie Wang, Yue Wu, Zhihang Fu, Hanzhu Chen, Feng Wu, Jieping Ye

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Boosting Multi-Domain Fine-Tuning of Large Language Models through Evolving Interactions between Samples.

Xize Liang, Lin Yang, Jie Wang, Yiyang Lu, Runyu Wu, Hanzhu Chen, Jianye Hao

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Knowledge Graph Finetuning Enhances Knowledge Manipulation in Large Language Models.

Hanzhu Chen, Xu Shen, Jie Wang, Zehao Wang, Qitan Lv, Junjie He, Rong Wu, Feng Wu, Jieping Ye

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Label Deconvolution for Node Representation Learning on Large-Scale Attributed Graphs Against Learning Bias.

Zhihao Shi, Jie Wang, Fanghua Lu, Hanzhu Chen, Defu Lian, Zheng Wang, Jieping Ye, Feng Wu

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

SAC-KG: Exploiting Large Language Models as Skilled Automatic Constructors for Domain Knowledge Graphs.

Hanzhu Chen, Xu Shen, Qitan Lv, Jie Wang, Xiaoqi Ni, Jieping Ye

CoRR, 2024

Neural Krylov Iteration for Accelerating Linear System Solving.

Jian Luo, Jie Wang, Hong Wang, Huanshuo Dong, Zijie Geng, Hanzhu Chen, Yufei Kuang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

QuDial: A Quadruple-driven Dialogue System for Real Estate Consulting Services.

Shuling Yang, Hanzhu Chen, Binbin Fang

Proceedings of the 2024 16th International Conference on Machine Learning and Computing, 2024

Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models.

Qitan Lv, Jie Wang, Hanzhu Chen, Bin Li, Yongdong Zhang, Feng Wu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

SAC-KG: Exploiting Large Language Models as Skilled Automatic Constructors for Domain Knowledge Graph.

Hanzhu Chen, Xu Shen, Qitan Lv, Jie Wang, Xiaoqi Ni, Jieping Ye

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias.

Zhihao Shi, Jie Wang, Fanghua Lu, Hanzhu Chen, Defu Lian, Zheng Wang, Jieping Ye, Feng Wu

CoRR, 2023

Learning Complete Topology-Aware Correlations Between Relations for Inductive Link Prediction.

Jie Wang, Hanzhu Chen, Qitan Lv, Zhihao Shi, Jiajun Chen, Huarui He, Hongtao Xie, Yongdong Zhang, Feng Wu

CoRR, 2023

Learning Rule-Induced Subgraph Representations for Inductive Relation Prediction.

Tianyu Liu, Qitan Lv, Jie Wang, Shuling Yang, Hanzhu Chen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Real-Time Information Extraction for Phone Review in Car Loan Audit.

Hongxuan Liu, Jie Wang, Yansong Wang, Shuling Yang, Hanzhu Chen, Binbin Fang

Proceedings of the Database Systems for Advanced Applications, 2023