Disassembling Object Representations without Labels. - Zunlei Feng; Xinchao Wang; Yongming He; Yike Yuan; Xin Gao; Mingli Song (CoRR, 2020)

Disassembling object representations without labels. - Zunlei Feng; Yongming He; Yike Yuan; Li Sun; Huiqiong Wang; Mingli Song (Neurocomputing, 2021)

Forgery-Domain-Supervised Deepfake Detection With Non-Negative Constraint. - Yike Yuan; Xinghe Fu; Gaoang Wang; Qiming Li; Xi Li 001 (IEEE Signal Process. Lett., 2022)

DenseDINO: Boosting Dense Self-Supervised Learning with Token-Based Point-Level Consistency. - Yike Yuan; Xinghe Fu; Yunlong Yu; Xi Li 001 (IJCAI, 2023)

Forgery face detection via adaptive learning from multiple experts. - Xinghe Fu; Shengming Li; Yike Yuan; Bin Li 038; Xi Li 001 (Neurocomputing, 2023)

MMBench: Is Your Multi-modal Model an All-Around Player? - Yuan Liu 025; Haodong Duan; Yuanhan Zhang; Bo Li 080; Songyang Zhang; Wangbo Zhao; Yike Yuan; Jiaqi Wang 003; Conghui He; Ziwei Liu 002; Kai Chen 026; Dahua Lin (ECCV (6), 2024)

SemanticMIM: Marring Masked Image Modeling with Semantics Compression for General Visual Representation. - Yike Yuan; Huanzhang Dou; Fengjun Guo; Xi Li 001 (CoRR, 2024)

Expert Race: A Flexible Routing Strategy for Scaling Diffusion Transformer with Mixture of Experts. - Yike Yuan; Ziyu Wang; Zihao Huang; Defa Zhu; Xun Zhou; Jingyi Yu; Qiyang Min (CoRR, 2025)