Integrated Estimation/Guidance Law against Exoatmospheric Maneuvering Targets. - Mao Su; Lei Liu 013; Yongji Wang 001 (Complex., 2018)

Transferable E(3) equivariant parameterization for Hamiltonian of molecules and solids. - Yang Zhong; Hongyu Yu; Mao Su; Xingao Gong; Hongjun Xiang (CoRR, 2022)

Efficient determination of the Hamiltonian and electronic properties using graph neural network with complete local coordinates. - Mao Su; Ji-Hui Yang; Hongjun Xiang; Xingao Gong (Mach. Learn. Sci. Technol., 2023)

ChemLLM: A Chemical Large Language Model. - Di Zhang; Wei Liu 123; Qian Tan; Jingdan Chen; Hang Yan 001; Yuliang Yan; Jiatong Li 003; Weiran Huang 001; Xiangyu Yue 001; Dongzhan Zhou; Shufei Zhang; Mao Su; et al. (CoRR, 2024)

Physical formula enhanced multi-task learning for pharmacokinetics prediction. - Ruifeng Li; Dongzhan Zhou; Ancheng Shen; Ao Zhang; Mao Su; Mingqian Li; Hongyang Chen; Gang Chen 001; Yin Zhang 014; Shufei Zhang; Yuqiang Li; Wanli Ouyang (CoRR, 2024)

Geometry-enhanced pretraining on interatomic potentials. - Taoyong Cui; Chenyu Tang; Mao Su; Shufei Zhang; Yuqiang Li; Lei Bai 001; Yuhan Dong; Xingao Gong; Wanli Ouyang (Nat. Mac. Intell., 2024)

ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry Area. - Junxian Li 001; Di Zhang; Xunzhi Wang; Zeying Hao; Jingdi Lei; Qian Tan; Cai Zhou; Wei Liu 123; Yaotian Yang; Xinrui Xiong; Weiyun Wang; Zhe Chen 013; et al. (AAAI, 2025)

Iterative Pretraining Framework for Interatomic Potentials. - Taoyong Cui; Zhongyao Wang; Dongzhan Zhou; Yuqiang Li; Lei Bai 001; Wanli Ouyang; Mao Su; Shufei Zhang (CoRR, 2025)