Neural Arithmetic Expression Calculator. - Kaiyu Chen; Yihan Dong; Xipeng Qiu; Zitian Chen (CoRR, 2018)

Self-Supervised Contrastive Learning with Adversarial Perturbations for Robust Pretrained Language Models. - Zhao Meng; Yihan Dong; Mrinmaya Sachan; Roger Wattenhofer (CoRR, 2021)

Self-Supervised Contrastive Learning with Adversarial Perturbations for Defending Word Substitution-based Attacks. - Zhao Meng; Yihan Dong; Mrinmaya Sachan; Roger Wattenhofer (NAACL-HLT (Findings), 2022)

TGC-ARG: Predicting Antibiotic Resistance through Transformer-based Modeling and Contrastive Learning. - Yihan Dong; Xiaowen Hu; Zhijian Huang; Lei Deng 002 (BIBM, 2023)

DataVisage: A Card-Based Design Workshop to Support Design Ideation on Data Physicalization. - Xiaoyu Zhang; Dongjun Han; Yihan Dong; Xipei Ren (ICEC, 2023)

HGCLMDA: Predicting mRNA-Drug Sensitivity Associations via Hypergraph Contrastive Learning. - Xiaowen Hu; Yihan Dong; Jiaxuan Zhang; Lei Deng 002 (J. Chem. Inf. Model., 2023)

The Multi-agent System based on LLM for Online Discussions. - Yihan Dong (AAMAS, 2024)

IGCNSDA: unraveling disease-associated snoRNAs with an interpretable graph convolutional network. - Xiaowen Hu; Pan Zhang; Dayun Liu; Jiaxuan Zhang; Yuanpeng Zhang; Yihan Dong; Yanhao Fan; Lei Deng 002 (Briefings Bioinform., 2024)

An Automated Multi-Phase Facilitation Agent Based on LLM. - Yihan Dong; Shiyao Ding; Takayuki Ito (IEICE Trans. Inf. Syst., 2024)

CoDF-Net: coordinated-representation decision fusion network for emotion recognition with EEG and eye movement signals. - Xinrong Gong; Yihan Dong; Tong Zhang 015 (Int. J. Mach. Learn. Cybern., 2024)

Agent-in-the-loop to distill expert knowledge into artificial intelligence models: a survey. - Jiayuan Gao; Yingwei Zhang 002; Yiqiang Chen 001; Yihan Dong; Yuanzhe Chen; Shuchao Song; Boshi Tang; Yang Gu 001 (Artif. Intell. Rev., 2025)