Reformulating HOI Detection As Adaptive Set Prediction. - Mingfei Chen; Yue Liao; Si Liu 001; Zhiyuan Chen 008; Fei Wang 032; Chen Qian 006 (CVPR, 2021)

AutoMix: Unveiling the Power of Mixup. - Zicheng Liu 006; Siyuan Li 002; Di Wu 057; Zhiyuan Chen 008; Lirong Wu; Jianzhu Guo; Stan Z. Li (CoRR, 2021)

GenURL: A General Framework for Unsupervised Representation Learning. - Siyuan Li 002; Zelin Zang; Di Wu 057; Zhiyuan Chen 008; Stan Z. Li (CoRR, 2021)

AutoMix: Unveiling the Power of Mixup for Stronger Classifiers. - Zicheng Liu 006; Siyuan Li 002; Di Wu 057; Zihan Liu; Zhiyuan Chen 008; Lirong Wu; Stan Z. Li (ECCV (24), 2022)

Efficient Multi-order Gated Aggregation Network. - Siyuan Li 002; Zedong Wang; Zicheng Liu 006; Cheng Tan 012; Haitao Lin; Di Wu 057; Zhiyuan Chen 008; Jiangbin Zheng 002; Stan Z. Li (CoRR, 2022)

Progressive Language-Customized Visual Feature Learning for One-Stage Visual Grounding. - Yue Liao; Aixi Zhang; Zhiyuan Chen 008; Tianrui Hui; Si Liu 001 (IEEE Trans. Image Process., 2022)

Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration. - Haitao Lin; Yufei Huang 002; Odin Zhang; Yunfan Liu 002; Lirong Wu; Siyuan Li 002; Zhiyuan Chen 008; Stan Z. Li (NeurIPS, 2023)

Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration. - Haitao Lin; Yufei Huang 002; Haotian Zhang; Lirong Wu; Siyuan Li 002; Zhiyuan Chen 008; Stan Z. Li (CoRR, 2023)

MogaNet: Multi-order Gated Aggregation Network. - Siyuan Li 002; Zedong Wang; Zicheng Liu 006; Cheng Tan 012; Haitao Lin; Di Wu 057; Zhiyuan Chen 008; Jiangbin Zheng 002; Stan Z. Li (ICLR, 2024)

GenURL: A General Framework for Unsupervised Representation Learning. - Siyuan Li 002; Zicheng Liu 006; Zelin Zang; Di Wu 057; Zhiyuan Chen 008; Stan Z. Li (IEEE Trans. Neural Networks Learn. Syst., 2025)

Life-Code: Central Dogma Modeling with Multi-Omics Sequence Unification. - Zicheng Liu 006; Siyuan Li 002; Zhiyuan Chen 008; Lei Xin; Fang Wu 002; Chang Yu 001; Qirong Yang; Yucheng Guo; Yujie Yang; Stan Z. Li (CoRR, 2025)