Xinran Wei - RankMe

19 papers A* 5A 1C 1Journal 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Scalable Machine Learning Force Fields for Macromolecular Systems Through Long-Range Aware Message Passing. CoRR Chu Wang, Lin Huang, Xinran Wei, Tao Qin, Arthur Jiang, Lixue Cheng, Jia Zhang
2025	J	`jnl`	Accurate and scalable exchange-correlation with deep learning. CoRR Giulia Luise, Chin-Wei Huang, Thijs Vogels, Derk P. Kooi, Sebastian Ehlert, Stephanie Lanius, Klaas J. H. Giesbertz, Amir Karton, Deniz Gunceler, Megan Stanley, Wessel P. Bruinsma, Lin Huang, Xinran Wei, José Garrido Torres, Abylay Katbashev, Rodrigo Chavez Zavaleta, Bálint Máté, Sékou-Oumar Kaba, Roberto Sordillo, Yingrong Chen, David B. Williams-Young, Christopher M. Bishop, Jan Hermann, Rianne van den Berg, Paola Gori-Giorgi
2025	J	`jnl`	E2Former: A Linear-time Efficient and Equivariant Transformer for Scalable Molecular Modeling. CoRR Yunyang Li, Lin Huang, Zhihao Ding, Chu Wang, Xinran Wei, Han Yang, Zun Wang, Chang Liu, Yu Shi, Peiran Jin, Jia Zhang, Mark Gerstein, Tao Qin
2025	A*	`conf`	Efficient and Scalable Density Functional Theory Hamiltonian Prediction through Adaptive Sparsity. ICML Erpai Luo, Xinran Wei, Lin Huang, Yunyang Li, Han Yang, Zaishuo Xia, Zun Wang, Chang Liu, Bin Shao, Jia Zhang
2025	J	`jnl`	Efficient and Scalable Density Functional Theory Hamiltonian Prediction through Adaptive Sparsity. CoRR Erpai Luo, Xinran Wei, Lin Huang, Yunyang Li, Han Yang, Zun Wang, Chang Liu, Zaishuo Xia, Jia Zhang, Bin Shao
2025	A*	`conf`	Enhancing the Scalability and Applicability of Kohn-Sham Hamiltonians for Molecular Systems. ICLR Yunyang Li, Zaishuo Xia, Lin Huang, Xinran Wei, Samuel Harshe, Han Yang, Erpai Luo, Zun Wang, Jia Zhang, Chang Liu, Bin Shao, Mark Gerstein
2025	J	`jnl`	Enhancing the Scalability and Applicability of Kohn-Sham Hamiltonians for Molecular Systems. CoRR Yunyang Li, Zaishuo Xia, Lin Huang, Xinran Wei, Han Yang, Sam Harshe, Zun Wang, Chang Liu, Jia Zhang, Bin Shao, Mark B. Gerstein
2024	A*	`conf`	Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models. NeurIPS Zun Wang, Chang Liu, Nianlong Zou, He Zhang, Xinran Wei, Lin Huang, Lijun Wu, Bin Shao
2024	J	`jnl`	Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models. CoRR Zun Wang, Chang Liu, Nianlong Zou, He Zhang, Xinran Wei, Lin Huang, Lijun Wu, Bin Shao
2024	A*	`conf`	Long-Short-Range Message-Passing: A Physics-Informed Framework to Capture Non-Local Interaction for Scalable Molecular Dynamics Simulation. ICLR Yunyang Li, Yusong Wang, Lin Huang, Han Yang, Xinran Wei, Jia Zhang, Tong Wang, Zun Wang, Bin Shao, Tie-Yan Liu
2024	J	`jnl`	LordNet: An efficient neural network for learning to solve parametric partial differential equations without simulated data. Neural Networks Xinquan Huang, Wenlei Shi, Xiaotian Gao, Xinran Wei, Jia Zhang, Jiang Bian, Mao Yang, Tie-Yan Liu
2024	A*	`conf`	Self-Consistency Training for Density-Functional-Theory Hamiltonian Prediction. ICML He Zhang, Chang Liu, Zun Wang, Xinran Wei, Siyuan Liu, Nanning Zheng, Bin Shao, Tie-Yan Liu
2024	J	`jnl`	Self-Consistency Training for Hamiltonian Prediction. CoRR He Zhang, Chang Liu, Zun Wang, Xinran Wei, Siyuan Liu, Nanning Zheng, Bin Shao, Tie-Yan Liu
2023	J	`jnl`	AI Agent as Urban Planner: Steering Stakeholder Dynamics in Urban Planning via Consensus-based Multi-Agent Reinforcement Learning. CoRR Kejiang Qian, Lingjun Mao, Xin Liang, Yimin Ding, Jin Gao, Xinran Wei, Ziyi Guo, Jiajie Li
2023	J	`jnl`	Plasmonic Resonance Coupling of Nanodisk Array/Thin Film on the Optical Fiber Tip for Integrated and Miniaturized Sensing Detection. Sensors Hao He, Xinran Wei, Yijin He, Yuzhang Liang, Yurui Fang, Wei Peng
2022	J	`jnl`	LordNet: Learning to Solve Parametric Partial Differential Equations without Simulated Data. CoRR Wenlei Shi, Xinquan Huang, Xiaotian Gao, Xinran Wei, Jia Zhang, Jiang Bian, Mao Yang, Tie-Yan Liu
2021	A	`conf`	Cooperative Policy Learning with Pre-trained Heterogeneous Observation Representations. AAMAS Wenlei Shi, Xinran Wei, Jia Zhang, Xiaoyuan Ni, Arthur Jiang, Jiang Bian, Tie-Yan Liu
2020	J	`jnl`	Cooperative Policy Learning with Pre-trained Heterogeneous Observation Representations. CoRR Wenlei Shi, Xinran Wei, Jia Zhang, Xiaoyuan Ni, Arthur Jiang, Jiang Bian, Tie-Yan Liu
2019	C	`conf`	FICAL: Focal Inter-Class Angular Loss for Image Classification. VCIP Xinran Wei, Dongliang Chang, Jiyang Xie, Yixiao Zheng, Chen Gong, Chuang Zhang, Zhanyu Ma