Fine-Grained Fashion Similarity Learning by Attribute-Specific Embedding Network. - Zhe Ma 002; Jianfeng Dong; Zhongzi Long; Yao Zhang 019; Yuan He 011; Hui Xue 001; Shouling Ji (AAAI, 2020)

Hierarchical Similarity Learning for Language-Based Product Image Retrieval. - Zhe Ma 002; Fenghao Liu; Jianfeng Dong; Xiaoye Qu; Yuan He 011; Shouling Ji (ICASSP, 2021)

Fine-Grained Fashion Similarity Prediction by Attribute-Specific Embedding Learning. - Jianfeng Dong; Zhe Ma 002; Xiaofeng Mao; Xun Yang 001; Yuan He 011; Richang Hong; Shouling Ji (IEEE Trans. Image Process., 2021)

Video Infringement Detection via Feature Disentanglement and Mutual Information Maximization. - Zhenguang Liu; Xinyang Yu; Ruili Wang; Shuai Ye; Zhe Ma 002; Jianfeng Dong; Sifeng He; Feng Qian; Xiaobo Zhang; Roger Zimmermann; Lei Yang 061 (ACM Multimedia, 2023)

From Region to Patch: Attribute-Aware Foreground-Background Contrastive Learning for Fine-Grained Fashion Retrieval. - Jianfeng Dong; Xiaoman Peng; Zhe Ma 002; Daizong Liu; Xiaoye Qu; Xun Yang 001; Jixiang Zhu; Baolong Liu (SIGIR, 2023)

Let All Be Whitened: Multi-Teacher Distillation for Efficient Visual Retrieval. - Zhe Ma 002; Jianfeng Dong; Shouling Ji; Zhenguang Liu; Xuhong Zhang 002; Zonghui Wang; Sifeng He; Feng Qian; Xiaobo Zhang; Lei Yang 061 (AAAI, 2024)

Could It Be Generated? Towards Practical Analysis of Memorization in Text-To-Image Diffusion Models. - Zhe Ma 002; Xuhong Zhang 002; Qingming Li; Tianyu Du; Wenzhi Chen; Zonghui Wang; Shouling Ji (CoRR, 2024)

Navigating the Risks: A Survey of Security, Privacy, and Ethics Threats in LLM-Based Agents. - Yuyou Gan; Yong Yang; Zhe Ma 002; Ping He; Rui Zeng; Yiming Wang; Qingming Li; Chunyi Zhou; Songze Li; Ting Wang 006; Yunjun Gao; Yingcai Wu; et al. (CoRR, 2024)

LoRAShield: Data-Free Editing Alignment for Secure Personalized LoRA Sharing. - Jiahao Chen; Junhao Li; Yiming Wang; Zhe Ma 002; Yi Jiang; Chunyi Zhou; Qingming Li; Tianyu Du; Shouling Ji (CoRR, 2025)