Let Invariant Rationale Discovery Inspire Graph Contrastive Learning. - Sihang Li 002; Xiang Wang 010; An Zhang 003; Yingxin Wu 002; Xiangnan He 001; Tat-Seng Chua (ICML, 2022)

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)

LLaRA: Aligning Large Language Models with Sequential Recommenders. - Jiayi Liao; Sihang Li 002; Zhengyi Yang 007; Jiancan Wu; Yancheng Yuan; Xiang Wang 010 (CoRR, 2023)

MolTC: Towards Molecular Relational Modeling In Language Models. - Junfeng Fang; Shuai Zhang; Chang Wu 003; Zhengyi Yang 007; Zhiyuan Liu 001; Sihang Li 002; Kun Wang 056; Wenjie Du 003; Xiang Wang 010 (ACL (Findings), 2024)

ReactXT: Understanding Molecular "Reaction-ship" via Reaction-Contextualized Molecule-Text Pretraining. - Zhiyuan Liu 001; Yaorui Shi; An Zhang 003; Sihang Li 002; Enzhi Zhang; Xiang Wang 010; Kenji Kawaguchi; Tat-Seng Chua (ACL (Findings), 2024)

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)

LLaRA: Large Language-Recommendation Assistant. - Jiayi Liao; Sihang Li 002; Zhengyi Yang 007; Jiancan Wu; Yancheng Yuan; Xiang Wang 010; Xiangnan He 001 (SIGIR, 2024)

SciAssess: Benchmarking LLM Proficiency in Scientific Literature Analysis. - Hengxing Cai; Xiaochen Cai; Junhan Chang; Sihang Li 002; Lin Yao 003; Changxin Wang; Zhifeng Gao; Hongshuai Wang; Yongge Li; Mujie Lin; Shuwen Yang; Jiankun Wang 011; et al. (CoRR, 2024)

Uni-SMART: Universal Science Multimodal Analysis and Research Transformer. - Hengxing Cai; Xiaochen Cai; Shuwen Yang; Jiankun Wang 011; Lin Yao 003; Zhifeng Gao; Junhan Chang; Sihang Li 002; Mingjun Xu; Changxin Wang; Hongshuai Wang; Yongge Li; et al. (CoRR, 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)

Intelligent System for Automated Molecular Patent Infringement Assessment. - Yaorui Shi; Sihang Li 002; Taiyan Zhang; Xi Fang; Jiankun Wang 011; Zhiyuan Liu 001; Guojiang Zhao; Zhengdan Zhu; Zhifeng Gao; Renxin Zhong; Linfeng Zhang 002; Guolin Ke; et al. (CoRR, 2024)

SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding. - Sihang Li 002; Jin Huang; Jiaxi Zhuang; Yaorui Shi; Xiaochen Cai; Mingjun Xu; Xiang Wang 010; Linfeng Zhang 002; Guolin Ke; Hengxing Cai (ICLR, 2025)

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)

SciAssess: Benchmarking LLM Proficiency in Scientific Literature Analysis. - Hengxing Cai; Xiaochen Cai; Junhan Chang; Sihang Li 002; Lin Yao 003; Changxin Wang; Zhifeng Gao; Hongshuai Wang; Yongge Li; Mujie Lin; Shuwen Yang; Jiankun Wang 011; et al. (NAACL (Findings), 2025)

Multi-Grained Patch Training for Efficient LLM-based Recommendation. - Jiayi Liao; Ruobing Xie; Sihang Li 002; Xiang Wang 010; Xingwu Sun; Zhanhui Kang; Xiangnan He 001 (SIGIR, 2025)

PatchRec: Multi-Grained Patching for Efficient LLM-based Sequential Recommendation. - Jiayi Liao; Ruobing Xie; Sihang Li 002; Xiang Wang 010; Xingwu Sun; Zhanhui Kang; Xiangnan He 001 (CoRR, 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)

Route Sparse Autoencoder to Interpret Large Language Models. - Wei Shi; Sihang Li 002; Tao Liang; Mingyang Wan; Gojun Ma; Xiang Wang 010; Xiangnan He 001 (CoRR, 2025)

Multimodal Language Modeling for High-Accuracy Single Cell Transcriptomics Analysis and Generation. - Yaorui Shi; Jiaqi Yang; Sihang Li 002; Junfeng Fang; Cheng-Xiang Wang 001; Zhiyuan Liu 001; Yang Zhang (CoRR, 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)

Search and Refine During Think: Autonomous Retrieval-Augmented Reasoning of LLMs. - Yaorui Shi; Sihang Li 002; Chang Wu 003; Zhiyuan Liu 001; Junfeng Fang; Hengxing Cai; An Zhang 003; Xiang Wang 010 (CoRR, 2025)

FlightGPT: Towards Generalizable and Interpretable UAV Vision-and-Language Navigation with Vision-Language Models. - Hengxing Cai; Jinhan Dong; Jingjun Tan; Jingcheng Deng; Sihang Li 002; Zhifeng Gao; Haidong Wang; Zicheng Su; Agachai Sumalee; Renxin Zhong (CoRR, 2025)

MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval. - Mingjun Xu; Jinhan Dong; Jue Hou; Zehui Wang; Sihang Li 002; Zhifeng Gao; Renxin Zhong; Hengxing Cai (CoRR, 2025)

SAFER: Probing Safety in Reward Models with Sparse Autoencoder. - Sihang Li 002; Wei Shi; Ziyuan Xie; Tao Liang; Guojun Ma; Xiang Wang 010 (CoRR, 2025)

MolReasoner: Toward Effective and Interpretable Reasoning for Molecular LLMs. - Guojiang Zhao; Sihang Li 002; Zixiang Lu; Zheng Cheng; Haitao Lin; Lirong Wu; Hanchen Xia; Hengxing Cai; Wentao Guo; Hongshuai Wang; Mingjun Xu; Siyu Zhu; et al. (CoRR, 2025)

Interpretable Reward Model via Sparse Autoencoder. - Shuyi Zhang; Wei Shi; Sihang Li 002; Jiayi Liao; Tao Liang; Hengxing Cai; Xiang Wang 010 (CoRR, 2025)