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Jinxin Shi
2020 – today
- 2025
- [j4]Jinxin Shi
, Jiabao Zhao
Mitigating reasoning hallucination through Multi-agent Collaborative Filtering. Expert Syst. Appl. 263: 125723 (2025) - 2024
- [j3]Jingying Chen, Jinxin Shi, Ruyi Xu
Dual subspace manifold learning based on GCN for intensity-invariant facial expression recognition. Pattern Recognit. 148: 110157 (2024) - [c3]Zhentao Xie, Jiabao Zhao, Yilei Wang, Jinxin Shi, Yanhong Bai, Xingjiao Wu, Liang He:
MindScope: Exploring Cognitive Biases in Large Language Models Through Multi-Agent Systems. ECAI 2024: 3308-3315 - [c2]Zhihang Wei, Jinxin Shi, Jing Yang, Jiabao Zhao:
VIP-FSCIL: A More Robust Approach for FSCIL. ICME 2024: 1-6 - [i4]Yanhong Bai, Jiabao Zhao, Jinxin Shi, Zhentao Xie, Xingjiao Wu, Liang He:
FairMonitor: A Dual-framework for Detecting Stereotypes and Biases in Large Language Models. CoRR abs/2405.03098 (2024) - [i3]Zhentao Xie, Jiabao Zhao, Yilei Wang, Jinxin Shi, Yanhong Bai, Xingjiao Wu, Liang He:
MindScope: Exploring cognitive biases in large language models through Multi-Agent Systems. CoRR abs/2410.04452 (2024) - 2023
- [i2]Yanhong Bai, Jiabao Zhao, Jinxin Shi, Tingjiang Wei, Xingjiao Wu, Liang He:
FairBench: A Four-Stage Automatic Framework for Detecting Stereotypes and Biases in Large Language Models. CoRR abs/2308.10397 (2023) - [i1]Jinxin Shi, Jiabao Zhao, Yilei Wang, Xingjiao Wu, Jiawen Li, Liang He:
CGMI: Configurable General Multi-Agent Interaction Framework. CoRR abs/2308.12503 (2023) - 2022
- [j2]Jinxin Shi, Qingsheng Zhu
A novel hierarchical clustering algorithm with merging strategy based on shared subordinates. Appl. Intell. 52(8): 8635-8650 (2022) - 2021
- [c1]Jinxin Shi, Qingsheng Zhu, Junnan Li, Ji Liu, Dongdong Cheng:
Hierarchical Clustering Based on Local Cores and Sharing Concept. COMPSAC 2021: 284-289 - 2020
- [j1]Yongxi Song
Screening of Potential Biomarkers for Gastric Cancer with Diagnostic Value Using Label-free Global Proteome Analysis. Genom. Proteom. Bioinform. 18(6): 679-695 (2020)
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last updated on 2025-01-16 22:04 CET by the dblp team
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