MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter. - Zhiyuan Liu 001; Sihang Li 002; Yanchen Luo; Hao Fei 001; Yixin Cao 002; Kenji Kawaguchi; Xiang Wang 010; Tat-Seng Chua (EMNLP, 2023)

Large Language Model Can Interpret Latent Space of Sequential Recommender. - Zhengyi Yang 007; Jiancan Wu; Yanchen Luo; Jizhi Zhang; Yancheng Yuan; An Zhang 003; Xiang Wang 010; Xiangnan He 001 (CoRR, 2023)

Masked Graph Modeling with Multi- View Contrast. - Yanchen Luo; Sihang Li 002; Yongduo Sui; Junkang Wu; Jiancan Wu; Xiang Wang 010 (ICDE, 2024)

Towards 3D Molecule-Text Interpretation in Language Models. - Sihang Li 002; Zhiyuan Liu 001; Yanchen Luo; Xiang Wang 010; Xiangnan He 001; Kenji Kawaguchi; Tat-Seng Chua; Qi Tian 001 (ICLR, 2024)

Text-guided Diffusion Model for 3D Molecule Generation. - Yanchen Luo; Junfeng Fang; Sihang Li 002; Zhiyuan Liu 001; Jiancan Wu; An Zhang 003; Wenjie Du 003; Xiang Wang 010 (CoRR, 2024)

NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation. - Zhiyuan Liu 001; Yanchen Luo; Han Huang; Enzhi Zhang; Sihang Li 002; Junfeng Fang; Yaorui Shi; Xiang Wang 010; Kenji Kawaguchi; Tat-Seng Chua (ICLR, 2025)

Self-attentive Rationalization for Interpretable Graph Contrastive Learning. - Sihang Li 002; Yanchen Luo; An Zhang 003; Xiang Wang 010; Longfei Li; Jun Zhou 011; Tat-Seng Chua (ACM Trans. Knowl. Discov. Data, 2025)

Towards Unified Latent Space for 3D Molecular Latent Diffusion Modeling. - Yanchen Luo; Zhiyuan Liu 001; Yi Zhao; Sihang Li 002; Kenji Kawaguchi; Tat-Seng Chua; Xiang Wang 010 (CoRR, 2025)

A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems. - Keqin Bao; Jizhi Zhang; Wenjie Wang 007; Yang Zhang 072; Zhengyi Yang 007; Yanchen Luo; Chong Chen 001; Fuli Feng; Qi Tian 001 (Trans. Recomm. Syst., 2025)