A Lightweight Feature Map Creation Method for Intelligent Vehicle Localization in Urban Road Environments. - Yingfeng Cai; Ziheng Lu; Hai Wang 003; Long Chen 003; Yicheng Li 001 (IEEE Trans. Instrum. Meas., 2022)

Towards Predicting Equilibrium Distributions for Molecular Systems with Deep Learning. - Shuxin Zheng; Jiyan He; Chang Liu 030; Yu Shi; Ziheng Lu; Weitao Feng 001; Fusong Ju; Jiaxi Wang; Jianwei Zhu; Yaosen Min; He Zhang; Shidi Tang; et al. (CoRR, 2023)

M-OFDFT: Overcoming the Barrier of Orbital-Free Density Functional Theory for Molecular Systems Using Deep Learning. - He Zhang; Siyuan Liu 005; Jiacheng You; Chang Liu 030; Shuxin Zheng; Ziheng Lu; Tong Wang 014; Nanning Zheng 001; Bin Shao (CoRR, 2023)

Learning Intra- and Inter-Cell Differences for Accurate Battery Lifespan Prediction across Diverse Conditions. - Han Zhang; Yuqi Li; Shun Zheng 001; Ziheng Lu; Xiaofan Gui; Wei Xu 005; Jiang Bian 002 (CoRR, 2023)

Inverse Design of Vitrimeric Polymers by Molecular Dynamics and Generative Modeling. - Yiwen Zheng; Prakash Thakolkaran; Jake A. Smith; Ziheng Lu; Shuxin Zheng; Bichlien H. Nguyen; Siddhant Kumar; Aniruddh Vashisth (CoRR, 2023)

BatteryML: An Open-source Platform for Machine Learning on Battery Degradation. - Han Zhang; Xiaofan Gui; Shun Zheng 001; Ziheng Lu; Yuqi Li; Jiang Bian 002 (ICLR, 2024)

Predicting equilibrium distributions for molecular systems with deep learning. - Shuxin Zheng; Jiyan He; Chang Liu 030; Yu Shi; Ziheng Lu; Weitao Feng 001; Fusong Ju; Jiaxi Wang; Jianwei Zhu; Yaosen Min; He Zhang; Shidi Tang; et al. (Nat. Mac. Intell., 2024)

Author Correction: Predicting equilibrium distributions for molecular systems with deep learning. - Shuxin Zheng; Jiyan He; Chang Liu 030; Yu Shi; Ziheng Lu; Weitao Feng 001; Fusong Ju; Jiaxi Wang; Jianwei Zhu; Yaosen Min; He Zhang; Shidi Tang; et al. (Nat. Mac. Intell., 2024)

Overcoming the barrier of orbital-free density functional theory for molecular systems using deep learning. - He Zhang; Siyuan Liu 005; Jiacheng You; Chang Liu 030; Shuxin Zheng; Ziheng Lu; Tong Wang 014; Nanning Zheng 001; Bin Shao (Nat. Comput. Sci., 2024)

Battery lifetime prediction across diverse ageing conditions with inter-cell deep learning. - Han Zhang; Yuqi Li; Shun Zheng 001; Ziheng Lu; Xiaofan Gui; Wei Xu 005; Jiang Bian 002 (Nat. Mac. Intell., 2025)

Multimodal Motion Prediction Incorporating the Constraints of Basic Driving Behaviors. - Ziheng Lu; Yingfeng Cai; Hai Wang 003; Yubo Lian; Long Chen 003; Yilin Zhong; Xiaoqiang Sun (IEEE Trans. Instrum. Meas., 2025)

NatureLM: Deciphering the Language of Nature for Scientific Discovery. - Yingce Xia; Peiran Jin; Shufang Xie 003; Liang He 010; Chuan Cao; Renqian Luo; Guoqing Liu; Yue Wang 017; Zequn Liu; Yuan-Jyue Chen; Zekun Guo; Yeqi Bai; et al. (CoRR, 2025)

UniGenX: Unified Generation of Sequence and Structure with Autoregressive Diffusion. - Gongbo Zhang; Yanting Li; Renqian Luo; Pipi Hu; Zeru Zhao; Lingbo Li; Guoqing Liu; Zun Wang; Ran Bi; Kaiyuan Gao; Liya Guo; Yu Xie; et al. (CoRR, 2025)

A generative model for inorganic materials design. - Claudio Zeni; Robert Pinsler; Daniel Zügner; Andrew Fowler; Matthew Horton; Xiang Fu 005; Zilong Wang; Aliaksandra Shysheya; Jonathan Crabbé; Shoko Ueda; Roberto Sordillo; Lixin Sun; et al. (Nat., 2025)

Chemistry-aware battery degradation prediction under simulated real-world cyclic protocols. - Yuqi Li; Han Zhang; Xiaofan Gui; Zhao Chen; Yu Li; Xiwen Chi; Quan Zhou; Shun Zheng 001; Ziheng Lu; Wei Xu 005; Jiang Bian 002; Liquan Chen; et al. (CoRR, 2025)

Self-Distillation Attention for Efficient and Accurate Motion Prediction in Autonomous Driving. - Ziheng Lu; Yingfeng Cai; Xiaoqiang Sun; Hai Wang 003; Yubo Lian; Long Chen 003 (IEEE Trans. Intell. Transp. Syst., 2025)