Variational Autoencoder for Anti-Cancer Drug Response Prediction. - Hongyuan Dong; Jiaqing Xie; Zhi Jing 003; Dexin Ren (CoRR, 2020)

MetaPrompting: Learning to Learn Better Prompts. - Yutai Hou; Hongyuan Dong; Xinghao Wang; Bohan Li; Wanxiang Che (COLING, 2022)

MetricPrompt: Prompting Model as a Relevance Metric for Few-shot Text Classification. - Hongyuan Dong; Weinan Zhang 003; Wanxiang Che (KDD, 2023)

Unveiling the Tapestry of Consistency in Large Vision-Language Models. - Yuan Zhang 020; Fei Xiao; Tao Huang 020; Chun-Kai Fan; Hongyuan Dong; Jiawen Li; Jiacong Wang; Kuan Cheng; Shanghang Zhang; Haoyuan Guo (NeurIPS, 2024)

Benchmarking and Improving Detail Image Caption. - Hongyuan Dong; Jiawen Li; Bohong Wu; Jiacong Wang; Yuan Zhang 020; Haoyuan Guo (CoRR, 2024)

Scalable Vision Language Model Training via High Quality Data Curation. - Hongyuan Dong; Zijian Kang; Weijie Yin; LiangXiao LiangXiao; ChaoFeng ChaoFeng; Ran Jiao (ACL (1), 2025)

Scalable Vision Language Model Training via High Quality Data Curation. - Hongyuan Dong; Zijian Kang; Weijie Yin; Xiao Liang; Chao Feng; Jiao Ran (CoRR, 2025)

AdaLRS: Loss-Guided Adaptive Learning Rate Search for Efficient Foundation Model Pretraining. - Hongyuan Dong; Dingkang Yang; Xiao Liang; Chao Feng; Jiao Ran (CoRR, 2025)

SAILViT: Towards Robust and Generalizable Visual Backbones for MLLMs via Gradual Feature Refinement. - Weijie Yin; Dingkang Yang; Hongyuan Dong; Zijian Kang; Jiacong Wang; Xiao Liang; Chao Feng; Jiao Ran (CoRR, 2025)