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ORCIDHanzhu Chen
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- affiliation: University of Science and Technology of China, China
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2020 – today
- 2025
[j2]Yue Shen
, Jie Wang, Zhe Wang, Zhihao Shi, Hanzhu Chen, Zheng Wang, Yukang Jiang, Xiaopu Wang, Chuandong Cheng, Xueqin Wang, Hongtu Zhu, Jieping Ye:
CATI: A medical context-enhanced framework for diagnosis code assignment in the UK Biobank study. Artif. Intell. Medicine 166: 103136 (2025)- [c9]Hanzhu Chen, Xu Shen, Jie Wang, Zehao Wang, Qitan Lv, Junjie He, Rong Wu, Feng Wu, Jieping Ye:
Knowledge Graph Finetuning Enhances Knowledge Manipulation in Large Language Models. ICLR 2025 - [c8]Xize Liang, Lin Yang, Jie Wang, Yiyang Lu, Runyu Wu, Hanzhu Chen, Jianye Hao:
Boosting Multi-Domain Fine-Tuning of Large Language Models through Evolving Interactions between Samples. ICML 2025 - [c7]Xize Liang, Chao Chen, Shuang Qiu, Jie Wang, Yue Wu, Zhihang Fu, Hanzhu Chen, Feng Wu, Jieping Ye:
ROPO: Robust Preference Optimization for Large Language Models. ICML 2025 - 2024
- [j1]Zhihao Shi, Jie Wang, Fanghua Lu, Hanzhu Chen, Defu Lian, Zheng Wang, Jieping Ye, Feng Wu:
Label Deconvolution for Node Representation Learning on Large-Scale Attributed Graphs Against Learning Bias. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 11273-11286 (2024) - [c6]Hanzhu Chen, Xu Shen, Qitan Lv, Jie Wang, Xiaoqi Ni, Jieping Ye:
SAC-KG: Exploiting Large Language Models as Skilled Automatic Constructors for Domain Knowledge Graph. ACL (1) 2024: 4345-4360 - [c5]Qitan Lv, Jie Wang, Hanzhu Chen, Bin Li, Yongdong Zhang, Feng Wu:
Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models. ICML 2024: 33594-33623 - [c4]Shuling Yang, Hanzhu Chen, Binbin Fang:
QuDial: A Quadruple-driven Dialogue System for Real Estate Consulting Services. ICMLC 2024: 609-615 - [c3]Jian Luo, Jie Wang, Hong Wang, Huanshuo Dong, Zijie Geng, Hanzhu Chen, Yufei Kuang:
Neural Krylov Iteration for Accelerating Linear System Solving. NeurIPS 2024 - [i5]Tianyu Liu, Qitan Lv, Jie Wang, Shuling Yang, Hanzhu Chen:
Learning Rule-Induced Subgraph Representations for Inductive Relation Prediction. CoRR abs/2408.07088 (2024) - [i4]Hanzhu Chen, Xu Shen, Qitan Lv, Jie Wang, Xiaoqi Ni, Jieping Ye:
SAC-KG: Exploiting Large Language Models as Skilled Automatic Constructors for Domain Knowledge Graphs. CoRR abs/2410.02811 (2024) - [i3]Qitan Lv, Jie Wang, Hanzhu Chen, Bin Li, Yongdong Zhang, Feng Wu:
Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models. CoRR abs/2410.15116 (2024) - 2023
- [c2]Hongxuan Liu, Jie Wang, Yansong Wang, Shuling Yang, Hanzhu Chen, Binbin Fang:
Real-Time Information Extraction for Phone Review in Car Loan Audit. DASFAA (4) 2023: 619-630 - [c1]Tianyu Liu, Qitan Lv, Jie Wang, Shuling Yang, Hanzhu Chen:
Learning Rule-Induced Subgraph Representations for Inductive Relation Prediction. NeurIPS 2023 - [i2]Jie Wang, Hanzhu Chen, Qitan Lv, Zhihao Shi, Jiajun Chen, Huarui He, Hongtao Xie, Yongdong Zhang, Feng Wu:
Learning Complete Topology-Aware Correlations Between Relations for Inductive Link Prediction. CoRR abs/2309.11528 (2023) - [i1]Zhihao Shi, Jie Wang, Fanghua Lu, Hanzhu Chen, Defu Lian, Zheng Wang, Jieping Ye, Feng Wu:
Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias. CoRR abs/2309.14907 (2023)
Coauthor Index
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