Ziheng Lu

According to our database, Ziheng Lu authored at least 20 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Generative structure search for efficient and diverse discovery of molecular and crystal structures.

Yifang Qin, Yu Shi, Junfu Tan, Chang Liu, Ming Zhang, Ziheng Lu

CoRR, April, 2026

Learning discrete latent representations for scene-guided multi-modal motion prediction.

Ziheng Lu, Yingfeng Cai, Hai Wang, Xiaoqiang Sun, Long Chen

Pattern Recognit., 2026

2025

MliG: Scene-Level Multimodal Motion Prediction Based on Multi-Layer Interaction Graph.

Yingfeng Cai, Ziheng Lu, Hai Wang, Yubo Lian, Long Chen, Qingchao Liu

IEEE Trans. Intell. Transp. Syst., November, 2025

Learning 3D Anisotropic Noise Distributions Improves Molecular Force Field Modeling.

Xixian Liu, Rui Jiao, Zhiyuan Liu, Yurou Liu, Yang Liu, Ziheng Lu, Wenbing Huang, Yang Zhang, Yixin Cao

CoRR, October, 2025

Self-Distillation Attention for Efficient and Accurate Motion Prediction in Autonomous Driving.

Ziheng Lu, Yingfeng Cai, Xiaoqiang Sun, Hai Wang, Yubo Lian, Long Chen

IEEE Trans. Intell. Transp. Syst., May, 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, Ziheng Lu, Wei Xu, Jiang Bian, Liquan Chen, Hong Li

CoRR, April, 2025

A generative model for inorganic materials design.

Claudio Zeni, Robert Pinsler, Daniel Zügner, Andrew Fowler, Matthew Horton, Xiang Fu, Zilong Wang, Aliaksandra Shysheya, Jonathan Crabbé, Shoko Ueda, Roberto Sordillo, Lixin Sun, Jake Smith, Bichlien Nguyen, Hannes Schulz, Sarah Lewis, Chin-Wei Huang, Ziheng Lu, Yichi Zhou, Han Yang, Hongxia Hao, Jielan Li, Chunlei Yang, Wenjie Li, Ryota Tomioka, Tian Xie

Nat., March, 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, Chang Liu, Jia Zhang, Tian Xie, Robert Pinsler, Claudio Zeni, Ziheng Lu, Yingce Xia, Marwin H. S. Segler, Maik Riechert, Li Yuan, Lei Chen, Haiguang Liu, Tao Qin

CoRR, March, 2025

NatureLM: Deciphering the Language of Nature for Scientific Discovery.

Yingce Xia, Peiran Jin, Shufang Xie, Liang He, Chuan Cao, Renqian Luo, Guoqing Liu, Yue Wang, Zequn Liu, Yuan-Jyue Chen, Zekun Guo, Yeqi Bai, Pan Deng, Yaosen Min, Ziheng Lu, Hongxia Hao, Han Yang, Jielan Li, Chang Liu, Jia Zhang, Jianwei Zhu, Kehan Wu, Wei Zhang, Kaiyuan Gao, Qizhi Pei, Qian Wang, Xixian Liu, Yanting Li, Houtian Zhu, Yeqing Lu, Mingqian Ma, Zun Wang, Tian Xie, Krzysztof Maziarz, Marwin H. S. Segler, Zhao Yang, Zilong Chen, Yu Shi, Shuxin Zheng, Lijun Wu, Chen Hu, Peggy Dai, Tie-Yan Liu, Haiguang Liu, Tao Qin

CoRR, February, 2025

Multimodal Motion Prediction Incorporating the Constraints of Basic Driving Behaviors.

Ziheng Lu, Yingfeng Cai, Hai Wang, Yubo Lian, Long Chen, Yilin Zhong, Xiaoqiang Sun

IEEE Trans. Instrum. Meas., 2025

Battery lifetime prediction across diverse ageing conditions with inter-cell deep learning.

Han Zhang, Yuqi Li, Shun Zheng, Ziheng Lu, Xiaofan Gui, Wei Xu, Jiang Bian

Nat. Mac. Intell., 2025

2024

Overcoming the barrier of orbital-free density functional theory for molecular systems using deep learning.

He Zhang, Siyuan Liu, Jiacheng You, Chang Liu, Shuxin Zheng, Ziheng Lu, Tong Wang, Nanning Zheng, Bin Shao

Nat. Comput. Sci., 2024

Author Correction: Predicting equilibrium distributions for molecular systems with deep learning.

Shuxin Zheng, Jiyan He, Chang Liu, Yu Shi, Ziheng Lu, Weitao Feng, Fusong Ju, Jiaxi Wang, Jianwei Zhu, Yaosen Min, He Zhang, Shidi Tang, Hongxia Hao, Peiran Jin, Chi Chen, Frank Noé, Haiguang Liu, Tie-Yan Liu

Nat. Mac. Intell., 2024

Predicting equilibrium distributions for molecular systems with deep learning.

Shuxin Zheng, Jiyan He, Chang Liu, Yu Shi, Ziheng Lu, Weitao Feng, Fusong Ju, Jiaxi Wang, Jianwei Zhu, Yaosen Min, He Zhang, Shidi Tang, Hongxia Hao, Peiran Jin, Chi Chen, Frank Noé, Haiguang Liu, Tie-Yan Liu

Nat. Mac. Intell., 2024

BatteryML: An Open-source Platform for Machine Learning on Battery Degradation.

Han Zhang, Xiaofan Gui, Shun Zheng, Ziheng Lu, Yuqi Li, Jiang Bian

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

Learning Intra- and Inter-Cell Differences for Accurate Battery Lifespan Prediction across Diverse Conditions.

Han Zhang, Yuqi Li, Shun Zheng, Ziheng Lu, Xiaofan Gui, Wei Xu, Jiang Bian

CoRR, 2023

M-OFDFT: Overcoming the Barrier of Orbital-Free Density Functional Theory for Molecular Systems Using Deep Learning.

He Zhang, Siyuan Liu, Jiacheng You, Chang Liu, Shuxin Zheng, Ziheng Lu, Tong Wang, Nanning Zheng, Bin Shao

CoRR, 2023

Towards Predicting Equilibrium Distributions for Molecular Systems with Deep Learning.

Shuxin Zheng, Jiyan He, Chang Liu, Yu Shi, Ziheng Lu, Weitao Feng, Fusong Ju, Jiaxi Wang, Jianwei Zhu, Yaosen Min, He Zhang, Shidi Tang, Hongxia Hao, Peiran Jin, Chi Chen, Frank Noé, Haiguang Liu, Tie-Yan Liu

CoRR, 2023

2022

A Lightweight Feature Map Creation Method for Intelligent Vehicle Localization in Urban Road Environments.

Yingfeng Cai, Ziheng Lu, Hai Wang, Long Chen, Yicheng Li

IEEE Trans. Instrum. Meas., 2022