GCN-GAN: Integrating Graph Convolutional Network and Generative Adversarial Network for Traffic Flow Prediction. - Hongling Zheng; Xiang Li; Yongfeng Li; Ziqin Yan; Tinghong Li (IEEE Access, 2022)

Learn From Model Beyond Fine-Tuning: A Survey. - Hongling Zheng; Li Shen 008; Anke Tang; Yong Luo 002; Han Hu 003; Bo Du 001; Dacheng Tao (CoRR, 2023)

Decomposed Prompt Decision Transformer for Efficient Unseen Task Generalization. - Hongling Zheng; Li Shen 008; Yong Luo 002; Tongliang Liu; Jialie Shen 001; Dacheng Tao (NeurIPS, 2024)

Learning from models beyond fine-tuning. - Hongling Zheng; Li Shen 008; Anke Tang; Yong Luo 002; Han Hu 003; Bo Du 001; Yonggang Wen 001; Dacheng Tao (Nat. Mac. Intell., 2025)

SRD: Reinforcement-Learned Semantic Perturbation for Backdoor Defense in VLMs. - Shuhan Xu; Siyuan Liang; Hongling Zheng; Yong Luo 002; Aishan Liu; Dacheng Tao (CoRR, 2025)