Enhancing Bloodstain Analysis Through AI-Based Segmentation: Leveraging Segment Anything Model for Crime Scene Investigation. - Zihan Dong; Zhengdong Zhang (CoRR, 2023)

Students' Perceptions and Preferences of Generative Artificial Intelligence Feedback for Programming. - Zhengdong Zhang; Zihan Dong; Yang Shi 004; Thomas W. Price; Noboru Matsuda; Dongkuan Xu (AAAI, 2024)

FNSPID: A Comprehensive Financial News Dataset in Time Series. - Zihan Dong; Xinyu Fan; Zhiyuan Peng (KDD, 2024)

LDER-GE estimates phenotypic variance component of gene-environment interactions in human complex traits accurately with GE interaction summary statistics and full LD information. - Zihan Dong; Wei Jiang 019; Hongyu Li; Andrew T. Dewan; Hongyu Zhao 003 (Briefings Bioinform., 2024)

Visible-hidden hybrid automatic feature engineering via multi-agent reinforcement learning. - Zhenyu Liu 005; Donghao Zhang; Hui Liu; Zihan Dong; Weiqiang Jia; Jianrong Tan (Knowl. Based Syst., 2024)

Multiscale calibration networks with pseudo label for bearing fault diagnosis under class-imbalanced data and multi-rate sampling scenarios. - Zhenyu Liu 005; Zihan Dong; Hui Liu; Pengcheng Zhong; Weiqiang Jia; Jianrong Tan (Adv. Eng. Informatics, 2025)

A non-negative garrote shrinkage network with adaptive Swish for rotating machinery fault diagnosis under noisy environment. - Pengcheng Zhong; Zhenyu Liu 005; Rui Li 085; Hui Liu; Xiaoqi Yang 010; Zihan Dong; Jianrong Tan (Eng. Appl. Artif. Intell., 2025)

Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing. - Tianci Liu 003; Zihan Dong; Linjun Zhang; Haoyu Wang 004; Jing Gao 004 (CoRR, 2025)