default search action
Xiang Fu 0005
Person information
- affiliation: Massachusetts Institute of Technology, Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA
- affiliation: Cornell University, Department of Computer Science, Ithaca, NY, USA
Other persons with the same name
- Xiang Fu — disambiguation page
- Xiang Fu 0001
— Hofstra University, Department of Computer Science, Hempstead, NY, USA (and 2 more)
- Xiang Fu 0002
- Xiang Fu 0003
- Xiang Fu 0004
- Xiang Fu 0006 — University of Southern California, Department of Electrical Engineering, Los Angeles, CA, USA
- Xiang Fu 0007 — Chinese Academy and Sciences, Institute of Computing Technology, Key Laboratory of Computer System and Architecture, Beijing, China
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2025
- [j5]Claudio Zeni, Robert Pinsler, Daniel Zügner, Andrew Fowler, Matthew Horton, Xiang Fu
A generative model for inorganic materials design. Nat. 639(8055): 624-632 (2025) - [i19]Xiang Fu, Brandon M. Wood, Luis Barroso-Luque, Daniel S. Levine, Meng Gao, Misko Dzamba, C. Lawrence Zitnick:
Learning Smooth and Expressive Interatomic Potentials for Physical Property Prediction. CoRR abs/2502.12147 (2025) - [i18]Chaitanya K. Joshi, Xiang Fu, Yi-Lun Liao, Vahe Gharakhanyan, Benjamin Kurt Miller, Anuroop Sriram, Zachary W. Ulissi:
All-atom Diffusion Transformers: Unified generative modelling of molecules and materials. CoRR abs/2503.03965 (2025) - [i17]Ryan Jacobs, Dane Morgan, Siamak Attarian, Jun Meng, Chen Shen, Zhenghao Wu, Clare Yijia Xie, Julia H. Yang, Nongnuch Artrith, Ben Blaiszik, Gerbrand Ceder, Kamal Choudhary, Gábor Csányi, Ekin Dogus Cubuk, Bowen Deng, Ralf Drautz, Xiang Fu, Jonathan Godwin, Vasant G. Honavar, Olexandr Isayev, Anders Johansson, Boris Kozinsky, Stefano Martiniani
A practical guide to machine learning interatomic potentials - Status and future. CoRR abs/2503.09814 (2025) - [i16]Aaron J. Havens, Benjamin Kurt Miller, Bing Yan, Carles Domingo-Enrich, Anuroop Sriram, Brandon M. Wood, Daniel Levine, Bin Hu, Brandon Amos, Brian Karrer, Xiang Fu, Guan-Horng Liu, Ricky T. Q. Chen:
Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching. CoRR abs/2504.11713 (2025) - 2024
- [b1]Xiang Fu:
Learning to Model Atoms Across Scales. MIT, USA, 2024 - [j4]Ryotaro Okabe
Virtual node graph neural network for full phonon prediction. Nat. Comput. Sci. 4(7): 522-531 (2024) - [c6]Xiang Fu, Tian Xie, Andrew S. Rosen, Tommi S. Jaakkola, Jake Smith:
MOFDiff: Coarse-grained Diffusion for Metal-Organic Framework Design. ICLR 2024 - [c5]Xiang Fu, Andrew S. Rosen, Kyle Bystrom, Rui Wang, Albert Musaelian, Boris Kozinsky, Tess E. Smidt, Tommi S. Jaakkola:
A Recipe for Charge Density Prediction. NeurIPS 2024 - [i15]Xiang Fu, Andrew S. Rosen, Kyle Bystrom, Rui Wang, Albert Musaelian, Boris Kozinsky, Tess E. Smidt, Tommi S. Jaakkola:
A Recipe for Charge Density Prediction. CoRR abs/2405.19276 (2024) - [i14]Ryotaro Okabe, Mouyang Cheng, Abhijatmedhi Chotrattanapituk, Nguyen Tuan Hung, Xiang Fu, Bowen Han, Yao Wang, Weiwei Xie, Robert J. Cava, Tommi S. Jaakkola, Yongqiang Cheng, Mingda Li:
Structural Constraint Integration in Generative Model for Discovery of Quantum Material Candidates. CoRR abs/2407.04557 (2024) - [i13]Luis Barroso-Luque, Muhammed Shuaibi, Xiang Fu, Brandon M. Wood, Misko Dzamba, Meng Gao, Ammar Rizvi, C. Lawrence Zitnick, Zachary W. Ulissi:
Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models. CoRR abs/2410.12771 (2024) - 2023
- [j3]Xiang Fu, Zhenghao Wu, Wujie Wang, Tian Xie, Sinan Keten, Rafael Gómez-Bombarelli, Tommi S. Jaakkola:
Forces are not Enough: Benchmark and Critical Evaluation for Machine Learning Force Fields with Molecular Simulations. Trans. Mach. Learn. Res. 2023 (2023) - [j2]Xiang Fu, Tian Xie, Nathan J. Rebello, Bradley D. Olsen, Tommi S. Jaakkola:
Simulate Time-integrated Coarse-grained Molecular Dynamics with Multi-scale Graph Networks. Trans. Mach. Learn. Res. 2023 (2023) - [c4]Gabriel B. Margolis, Xiang Fu, Yandong Ji, Pulkit Agrawal:
Learning to See Physical Properties with Active Sensing Motor Policies. CoRL 2023: 2537-2548 - [i12]Xuan Zhang, Limei Wang, Jacob Helwig, Youzhi Luo, Cong Fu, Yaochen Xie, Meng Liu, Yuchao Lin, Zhao Xu, Keqiang Yan, Keir Adams, Maurice Weiler, Xiner Li, Tianfan Fu, Yucheng Wang, Haiyang Yu, Yuqing Xie, Xiang Fu, Alex Strasser, Shenglong Xu, Yi Liu, Yuanqi Du, Alexandra Saxton, Hongyi Ling, Hannah Lawrence, Hannes Stärk, Shurui Gui, Carl Edwards, Nicholas Gao, Adriana Ladera
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems. CoRR abs/2307.08423 (2023) - [i11]Xiang Fu, Tian Xie, Andrew S. Rosen
MOFDiff: Coarse-grained Diffusion for Metal-Organic Framework Design. CoRR abs/2310.10732 (2023) - [i10]Xiang Fu, Albert Musaelian, Anders Johansson, Tommi S. Jaakkola, Boris Kozinsky:
Learning Interatomic Potentials at Multiple Scales. CoRR abs/2310.13756 (2023) - [i9]Gabriel B. Margolis, Xiang Fu, Yandong Ji
Learning to See Physical Properties with Active Sensing Motor Policies. CoRR abs/2311.01405 (2023) - [i8]Claudio Zeni, Robert Pinsler, Daniel Zügner, Andrew Fowler, Matthew Horton, Xiang Fu, Sasha Shysheya, Jonathan Crabbé
MatterGen: a generative model for inorganic materials design. CoRR abs/2312.03687 (2023) - 2022
- [c3]Tian Xie, Xiang Fu, Octavian-Eugen Ganea, Regina Barzilay, Tommi S. Jaakkola:
Crystal Diffusion Variational Autoencoder for Periodic Material Generation. ICLR 2022 - [i7]Xiang Fu, Tian Xie, Nathan J. Rebello, Bradley D. Olsen, Tommi S. Jaakkola:
Simulate Time-integrated Coarse-grained Molecular Dynamics with Geometric Machine Learning. CoRR abs/2204.10348 (2022) - [i6]Xiang Fu, Zhenghao Wu, Wujie Wang, Tian Xie, Sinan Keten
Forces are not Enough: Benchmark and Critical Evaluation for Machine Learning Force Fields with Molecular Simulations. CoRR abs/2210.07237 (2022) - 2021
- [j1]Xiang Fu, Shangdi Yu
Modelling and analysis of tagging networks in Stack Exchange communities. J. Complex Networks 8(5) (2021) - [c2]Gabriel B. Margolis, Tao Chen, Kartik Paigwar, Xiang Fu, Donghyun Kim, Sangbae Kim, Pulkit Agrawal:
Learning to Jump from Pixels. CoRL 2021: 1025-1034 - [c1]Xiang Fu, Ge Yang, Pulkit Agrawal, Tommi S. Jaakkola:
Learning Task Informed Abstractions. ICML 2021: 3480-3491 - [i5]Xiang Fu, Ge Yang, Pulkit Agrawal, Tommi S. Jaakkola:
Learning Task Informed Abstractions. CoRR abs/2106.15612 (2021) - [i4]Tian Xie, Xiang Fu, Octavian-Eugen Ganea, Regina Barzilay, Tommi S. Jaakkola:
Crystal Diffusion Variational Autoencoder for Periodic Material Generation. CoRR abs/2110.06197 (2021) - [i3]Gabriel B. Margolis, Tao Chen, Kartik Paigwar, Xiang Fu, Donghyun Kim, Sangbae Kim, Pulkit Agrawal:
Learning to Jump from Pixels. CoRR abs/2110.15344 (2021) - [i2]Benson Chen, Xiang Fu, Regina Barzilay, Tommi S. Jaakkola:
Fragment-based Sequential Translation for Molecular Optimization. CoRR abs/2111.01009 (2021)
2010 – 2019
- 2019
- [i1]Xiang Fu, Shangdi Yu, Austin R. Benson:
Modeling and Analysis of Tagging Networks in Stack Exchange Communities. CoRR abs/1902.02372 (2019)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-05-28 20:35 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: