Lixue Cheng - RankMe

16 papers Journal 14Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Survey of Neural Network Variational Monte Carlo from a Computing Workload Characterization Perspective. CoRR Zhengze Xiao, Xuanzhe Ding, Yuyang Lou, Lixue Cheng, Chaojian Li
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`	An ab initio foundation model of wavefunctions that accurately describes chemical bond breaking. CoRR Adam Foster, Zeno Schätzle, P. Bernát Szabó, Lixue Cheng, Jonas Köhler, Gino Cassella, Nicholas Gao, Jiawei Li, Frank Noé, Jan Hermann
2025	J	`jnl`	Evaluating Large Language Models in Scientific Discovery. CoRR Zhangde Song, Jieyu Lu, Yuanqi Du, Botao Yu, Thomas M. Pruyn, Yue Huang, Kehan Guo, Xiuzhe Luo, Yuanhao Qu, Yi Qu, Yinkai Wang, Haorui Wang, Jeff Guo, Jingru Gan, Parshin Shojaee, Di Luo, Andres M. Bran, Gen Li, Qiyuan Zhao, Shao-Xiong Lennon Luo, Yuxuan Zhang, Xiang Zou, Wanru Zhao, Yifan F. Zhang, Wucheng Zhang, Shunan Zheng, Saiyang Zhang, Sartaaj Takrim Khan, Mahyar Rajabi Kochi, Samantha Paradi-Maropakis, Tony Baltoiu, Fengyu Xie, Tianyang Chen, Kexin Huang, Weiliang Luo, Meijing Fang, Xin Yang, Lixue Cheng, Jiajun He, Soha Hassoun, Xiangliang Zhang, Wei Wang, Chandan K. Reddy, Chao Zhang, Zhiling Zheng, Mengdi Wang, Le Cong, Carla P. Gomes, Chang-Yu Hsieh, Aditya Nandy, Philippe Schwaller, Heather J. Kulik, Haojun Jia, Huan Sun, Seyed Mohamad Moosavi, Chenru Duan
2025	J	`jnl`	Stabilizer ground states for simulating quantum many-body physics: theory, algorithms, and applications. Quantum Jiace Sun, Lixue Cheng, Shi-Xin Zhang
2024	J	`jnl`	Highly Accurate Real-space Electron Densities with Neural Networks. CoRR Lixue Cheng, P. Bernát Szabó, Zeno Schätzle, Derk P. Kooi, Jonas Köhler, Klaas J. H. Giesbertz, Frank Noé, Jan Hermann, Paola Gori-Giorgi, Adam Foster
2023	J	`jnl`	Error-mitigated Quantum Approximate Optimization via Learning-based Adaptive Optimization. CoRR Lixue Cheng, Yu-Qin Chen, Shi-Xin Zhang, Shengyu Zhang
2022	J	`jnl`	Accurate Molecular-Orbital-Based Machine Learning Energies via Unsupervised Clustering of Chemical Space. CoRR Lixue Cheng, Jiace Sun, Thomas F. Miller III
2022	J	`jnl`	Molecular Dipole Moment Learning via Rotationally Equivariant Gaussian Process Regression with Derivatives in Molecular-orbital-based Machine Learning. CoRR Jiace Sun, Lixue Cheng, Thomas F. Miller III
2022	J	`jnl`	Molecular-orbital-based Machine Learning for Open-shell and Multi-reference Systems with Kernel Addition Gaussian Process Regression. CoRR Lixue Cheng, Jiace Sun, J. Emiliano Deustua, Vignesh C. Bhethanabotla, Thomas F. Miller III
2022	J	`jnl`	ODBO: Bayesian Optimization with Search Space Prescreening for Directed Protein Evolution. CoRR Lixue Cheng, Ziyi Yang, Benben Liao, Chang-Yu Hsieh, Shengyu Zhang
2021	—	`conf`	Framework Design and Application of Enterprise Intranet Automation Operation and Maintenance. EITCE Zhiwen Chen, Guihua Wang, Lixue Cheng
2021	J	`jnl`	Molecular Energy Learning Using Alternative Blackbox Matrix-Matrix Multiplication Algorithm for Exact Gaussian Process. CoRR Jiace Sun, Lixue Cheng, Thomas F. Miller III
2021	—	`conf`	Object Bounding Box-Aware Embedding for Point Cloud Instance Segmentation. PRICAI (3) Lixue Cheng, Taihai Yang, Lizhuang Ma
2019	J	`jnl`	A Universal Density Matrix Functional from Molecular Orbital-Based Machine Learning: Transferability across Organic Molecules. CoRR Lixue Cheng, Matthew Welborn, Thomas F. Miller III
2019	J	`jnl`	Regression-clustering for Improved Accuracy and Training Cost with Molecular-Orbital-Based Machine Learning. CoRR Lixue Cheng, Nikola B. Kovachki, Matthew Welborn, Thomas F. Miller III