Jia-Run Fu

According to our database, Jia-Run Fu authored at least 14 papers between 2018 and 2026.

Collaborative distances:

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

2026

VPF: Topology-preserving Virtual Path Fusion to tackle over-squashing.

Huiwen Bai, Lizhong Ding, Junyu Zhang, Chunhui Zhang, Jiarun Fu, Liang Chang, Tianlong Gu, Changsheng Li, Ye Yuan, Guoren Wang

Pattern Recognit., 2026

Demystifying Uncertainty in LLMs: Active Calibration between Concepts and Human Evaluations.

Pengqi Li, Lizhong Ding, Zhehao Zhou, Chunhui Zhang, Jiarun Fu, Hao Li, Ye Yuan, Guoren Wang

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Counterfactual Planning for Generalizable Agents' Actions.

Jiarun Fu, Lizhong Ding, Qiuning Wei, Yuhan Guo, Yurong Cheng, Junyu Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

DeepFaith: A Domain-Free and Model-Agnostic Unified Framework for Highly Faithful Explanations.

Yuhan Guo, Lizhong Ding, Shihan Jia, Yanyu Ren, Pengqi Li, Jiarun Fu, Changsheng Li, Ye Yuan, Guoren Wang

CoRR, August, 2025

Unveiling and Causalizing CoT: A Causal Pespective.

Jiarun Fu, Lizhong Ding, Hao Li, Pengqi Li, Qiuning Wei, Xu Chen

CoRR, February, 2025

Testing for Causal Fairness.

Jiarun Fu, Lizhong Ding, Pengqi Li, Qiuning Wei, Yurong Cheng, Xu Chen

CoRR, February, 2025

Generalization Bounds for Kolmogorov-Arnold Networks (KANs) and Enhanced KANs with Lower Lipschitz Complexity.

Pengqi Li, Lizhong Ding, Jiarun Fu, Chunhui Zhang, Guoren Wang, Ye Yuan

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

E-Verify: A Paradigm Shift to Scalable Embedding-based Factuality Verification.

Zeyang Liu, Jingfeng Xue, Xiuqi Yang, Wenbiao Du, Jiarun Fu, Junbao Chen, Wenjie Guo, Yong Wang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

Contrastive graph learning long and short-term interests for POI recommendation.

Jiarun Fu, Rong Gao, Yonghong Yu, Jia Wu, Jing Li, Donghua Liu, Zhiwei Ye

Expert Syst. Appl., March, 2024

Low-light image enhancement base on brightness attention mechanism generative adversarial networks.

Jiarun Fu, Lingyu Yan, Yulin Peng, Kunpeng Zheng, Rong Gao, Hefei Ling

Multim. Tools Appl., January, 2024

2021

Enhanced network optimized generative adversarial network for image enhancement.

Lingyu Yan, Jia-Run Fu, Chunzhi Wang, Zhiwei Ye, Hongwei Chen, Hefei Ling

Multim. Tools Appl., 2021

2020

Image Classification Based on Principal Component Analysis optimized Generative Adversarial Networks.

Chunzhi Wang, Pan Wu, Jia-Run Fu, Yan Zhou, Jiwei Hu, Lingyu Yan

Proceedings of the 2020 IEEE 5th International Symposium on Smart and Wireless Systems within the Conferences on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS-SWS), 2020

2018

Research on Pricing Model of Offline Crowdsourcing Based on Dynamic Quota.

Lu Yuan, Yan Zhou, Jia-Run Fu, Ling-Yu Yan, Chun-zhi Wang

Proceedings of the Data Science, 2018

High Precision Self-learning Hashing for Image Retrieval.

Jia-Run Fu, Ling-Yu Yan, Lu Yuan, Yan Zhou, Hong Xin Zhang, Chun-zhi Wang

Proceedings of the Data Science, 2018