Learning Neural Bag-of-Matrix-Summarization with Riemannian Network. - Hong Liu 009; Jie Li 052; Yongjian Wu 001; Rongrong Ji (AAAI, 2019)

Universal Adversarial Perturbation via Prior Driven Uncertainty Approximation. - Hong Liu 009; Rongrong Ji; Jie Li 052; Baochang Zhang 001; Yue Gao 002; Yongjian Wu 001; Feiyue Huang (ICCV, 2019)

Universal Perturbation Attack Against Image Retrieval. - Jie Li 052; Rongrong Ji; Hong Liu 009; Xiaopeng Hong; Yue Gao 002; Qi Tian 001 (ICCV, 2019)

Font generation based on least squares conditional generative adversarial nets. - Xianming Lin; Jie Li 052; Hualin Zeng; Rongrong Ji (Multim. Tools Appl., 2019)

Projection & Probability-Driven Black-Box Attack. - Jie Li 052; Rongrong Ji; Hong Liu 009; Jianzhuang Liu; Bineng Zhong; Cheng Deng; Qi Tian 001 (CVPR, 2020)

Aha! Adaptive History-driven Attack for Decision-based Black-box Models. - Jie Li 052; Rongrong Ji; Peixian Chen; Baochang Zhang 001; Xiaopeng Hong; Ruixin Zhang; Shaoxin Li 001; Jilin Li; Feiyue Huang; Yongjian Wu 001 (ICCV, 2021)

Black-Box Dissector: Towards Erasing-based Hard-Label Model Stealing Attack. - Yixu Wang; Jie Li 052; Hong Liu 009; Yongjian Wu 001; Rongrong Ji (CoRR, 2021)

Learning to Learn Transferable Attack. - Shuman Fang; Jie Li 052; Xianming Lin; Rongrong Ji (AAAI, 2022)

Black-Box Dissector: Towards Erasing-Based Hard-Label Model Stealing Attack. - Yixu Wang; Jie Li 052; Hong Liu 009; Yan Wang 059; Yongjian Wu 001; Feiyue Huang; Rongrong Ji (ECCV (5), 2022)

Improving Human-Object Interaction Detection via Virtual Image Learning. - Shuman Fang; Shuai Liu; Jie Li 052; Guannan Jiang; Xianming Lin; Rongrong Ji (ACM Multimedia, 2023)

Prompting to Adapt Foundational Segmentation Models. - Jie Hu 018; Jie Li 052; Yue Ma; Liujuan Cao; Songan Zhang; Wei Zhang 217; Guannan Jiang; Rongrong Ji (ACM Multimedia, 2024)

HODN: Disentangling Human-Object Feature for HOI Detection. - Shuman Fang; Zhiwen Lin; Ke Yan; Jie Li 052; Xianming Lin; Rongrong Ji (IEEE Trans. Multim., 2024)