Simulator Attack+ for Black-Box Adversarial Attack. - Yimu Ji 001; Jianyu Ding; Zhiyu Chen 004; Fei Wu 004; Chi Zhang; Yiming Sun; Jing Sun; Shangdong Liu (ICIP, 2022)

An Optimized Black-Box Adversarial Simulator Attack Based on Meta-Learning. - Zhiyu Chen 004; Jianyu Ding; Fei Wu 004; Chi Zhang; Yiming Sun; Jing Sun; Shangdong Liu; Yimu Ji 001 (Entropy, 2022)

Learning Visible Thermal Person Re-Identification via Spatial Dependence and Dual-Constraint Loss. - Chuandong Wang; Chi Zhang; Yujian Feng; Yimu Ji 001; Jianyu Ding (Entropy, 2022)

Incorporating Heterogeneous User Behaviors and Social Influences for Predictive Analysis. - Haobing Liu 001; Yanmin Zhu 006; Chunyang Wang 001; Jianyu Ding; Jiadi Yu; Feilong Tang (IEEE Trans. Big Data, 2023)

Modeling multi-aspect preferences and intents for multi-behavioral sequential recommendation. - Haobing Liu 001; Jianyu Ding; Yanmin Zhu 006; Feilong Tang; Jiadi Yu; Ruobing Jiang; Zhongwen Guo (Knowl. Based Syst., 2023)

Mixed Gaussian Splatting for High-Quality Rendering and Reconstruction. - Shuai Liu; Jianyu Ding; Jie Yang; Wei Liu (ICASSP, 2025)

FIX-CLIP: Dual-Branch Hierarchical Contrastive Learning via Synthetic Captions for Better Understanding of Long Text. - Bingchao Wang; Zhiwei Ning; Jianyu Ding; Xuanang Gao; Yin Li; Dongsheng Jiang; Jie Yang; Wei Liu (CoRR, 2025)