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2020 – today
- 2025
[j9]Han Zhang, Yuqi Li, Shun Zheng, Ziheng Lu, Xiaofan Gui, Wei Xu, Jiang Bian:
Battery lifetime prediction across diverse ageing conditions with inter-cell deep learning. Nat. Mac. Intell. 7(2): 270-277 (2025)- [j8]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:
A generative model for inorganic materials design. Nat. 639(8055): 624-632 (2025) - [j7]Ziheng Lu, Yingfeng Cai, Hai Wang, Yubo Lian, Long Chen, Yilin Zhong, Xiaoqiang Sun:
Multimodal Motion Prediction Incorporating the Constraints of Basic Driving Behaviors. IEEE Trans. Instrum. Meas. 74: 1-12 (2025) - [j6]Ziheng Lu, Yingfeng Cai, Xiaoqiang Sun, Hai Wang, Yubo Lian, Long Chen:
Self-Distillation Attention for Efficient and Accurate Motion Prediction in Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 26(5): 7262-7274 (2025) - [j5]Yingfeng Cai, Ziheng Lu, Hai Wang, Yubo Lian, Long Chen, Qingchao Liu:
MliG: Scene-Level Multimodal Motion Prediction Based on Multi-Layer Interaction Graph. IEEE Trans. Intell. Transp. Syst. 26(11): 19876-19892 (2025) - [i9]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:
NatureLM: Deciphering the Language of Nature for Scientific Discovery. CoRR abs/2502.07527 (2025) - [i8]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:
UniGenX: Unified Generation of Sequence and Structure with Autoregressive Diffusion. CoRR abs/2503.06687 (2025) - [i7]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:
Chemistry-aware battery degradation prediction under simulated real-world cyclic protocols. CoRR abs/2504.03701 (2025) - [i6]Xixian Liu, Rui Jiao, Zhiyuan Liu, Yurou Liu, Yang Liu, Ziheng Lu, Wenbing Huang, Yang Zhang, Yixin Cao:
Learning 3D Anisotropic Noise Distributions Improves Molecular Force Field Modeling. CoRR abs/2510.22123 (2025) - 2024
- [j4]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:
Predicting equilibrium distributions for molecular systems with deep learning. Nat. Mac. Intell. 6(5): 558-567 (2024) - [j3]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:
Author Correction: Predicting equilibrium distributions for molecular systems with deep learning. Nat. Mac. Intell. 6(12): 1626 (2024) - [j2]He Zhang, Siyuan Liu, Jiacheng You, Chang Liu, Shuxin Zheng, Ziheng Lu, Tong Wang, Nanning Zheng, Bin Shao:
Overcoming the barrier of orbital-free density functional theory for molecular systems using deep learning. Nat. Comput. Sci. 4(3): 210-223 (2024) - [c1]Han Zhang, Xiaofan Gui, Shun Zheng, Ziheng Lu, Yuqi Li, Jiang Bian:
BatteryML: An Open-source Platform for Machine Learning on Battery Degradation. ICLR 2024 - 2023
- [i5]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:
Towards Predicting Equilibrium Distributions for Molecular Systems with Deep Learning. CoRR abs/2306.05445 (2023) - [i4]He Zhang, Siyuan Liu, Jiacheng You, Chang Liu, Shuxin Zheng, Ziheng Lu, Tong Wang, Nanning Zheng, Bin Shao:
M-OFDFT: Overcoming the Barrier of Orbital-Free Density Functional Theory for Molecular Systems Using Deep Learning. CoRR abs/2309.16578 (2023) - [i3]Han Zhang, Yuqi Li, Shun Zheng, Ziheng Lu, Xiaofan Gui, Wei Xu, Jiang Bian:
Learning Intra- and Inter-Cell Differences for Accurate Battery Lifespan Prediction across Diverse Conditions. CoRR abs/2310.05052 (2023) - [i2]Han Zhang, Xiaofan Gui, Shun Zheng, Ziheng Lu, Yuqi Li, Jiang Bian:
BatteryML: An Open-source platform for Machine Learning on Battery Degradation. CoRR abs/2310.14714 (2023) - [i1]Yiwen Zheng, Prakash Thakolkaran, Jake A. Smith, Ziheng Lu, Shuxin Zheng, Bichlien H. Nguyen, Siddhant Kumar, Aniruddh Vashisth:
Inverse Design of Vitrimeric Polymers by Molecular Dynamics and Generative Modeling. CoRR abs/2312.03690 (2023) - 2022
- [j1]Yingfeng Cai, Ziheng Lu, Hai Wang, Long Chen, Yicheng Li:
A Lightweight Feature Map Creation Method for Intelligent Vehicle Localization in Urban Road Environments. IEEE Trans. Instrum. Meas. 71: 1-15 (2022)
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