Zongyi Li
@ZongyiLiCaltech
Followers
2K
Following
3K
Media
8
Statuses
116
PhD student at Caltech. "Science takes time."
Joined July 2013
Thank you @AnimaAnandkumar! I'm so grateful for this award. It's truly a privilege to be a student at Caltech, a special place where I had the opportunity to learn and explore math, science, and AI, with so many brilliant people.
The best undergraduate and graduate research awards at @Caltech commencement this year were presented to research on Neural Operators by my students @ZongyiLiCaltech and Miguel Liu-Schiaffini. This recognition is a testament to their passion and dedication, and the impact
8
3
107
RT @Xiaojie_Qiu: We are thrilled to join the FutureHouse community, @SGRodriques @FutureHouseSF! We are seeking exceptional machine learnin….
0
3
0
RT @Caltech: Please consider making a contribution to this special fund that will be used by Caltech and JPL to directly support affected i….
0
69
0
I am heading to the Joint Math Meetings #JMM2025 in Seattle. Looking forward to chatting about data-driven methods for partial differential equations, especially neural operators!.
1
2
16
RT @AnimaAnandkumar: 2024 was a pivotal year for AI+Science. Our team made exciting contributions. Here are some highlights: .
tensorlab.cms.caltech.edu
0
40
0
RT @miniapeur: (1/2) Hello everyone! I've just created a list of people looking for opportunities and positions (internship, postdoc, resea….
docs.google.com
0
25
0
RT @JeanKossaifi: Introducing NeuralOperator 1.0: a Python library that aims at democratizing neural operators for scientific applications….
0
28
0
RT @AnimaAnandkumar: Excited to present our work on CoDA-NO at #NeurIPS2024 We develop a novel neural operator architecture designed to sol….
0
27
0
We’re extending GeoFNO to 3D with optimal transport—exciting progress ahead!
1
1
43
In GeoFNO, we learn a deformation map from irregular geometries to uniform latent space, where the Fourier methods can be applied. The map induces a generalized Fourier series back to the irregular geometries.
1
3
24
I will be presenting Geometric Fourier Neural Operator (GeoFNO) at #Neurips2024 JMLR track (. GeoFNO has been one of the standard ML models for geometric PDEs such as elasticity, plasticity, and fluid flows with shapes like airfoils and pipes.
2
3
35
#NeurIPS I am on the 2024-25 job market seeking faculty positions and postdocs! My goal is to advance AI for scientific computing and discovery. I develop neural operators for partial differential equations (PDEs) with applications in fluid, solid, and earth science.
7
65
383
RT @JingyiQiu4: 🚀Our field experiment (@yanchen @alain_cohn & Al Roth) on Twitter shows that social media promotion can boost job market ou….
0
126
0
RT @2prime_PKU: Giving AAAI2024 tutorial recent advance in physics-informed machine learning with @GrantRotskoff tmw .Initial slide can be….
sites.google.com
Machine learning (ML) is spurring a transformation in the computational sciences by providing a new way to build flexible, universal, and efficient approximations for complex high-dimensional...
0
26
0
RT @AnimaAnandkumar: Come join us for an informal meetup at #NeurIPS23 on Thursday 6-8pm at the conference venue (location marked in purple….
0
14
0
#Neurips2023 come to our poster "Geometry-Informed Neural Operator for Large-Scale 3D PDEs" on Tue at 11am, #500. We learn the solution operator of 3d RANS simulation with varying geometries. @AnimaAnandkumar.@NKovachki.@JeanKossaifi.@Azizzadenesheli
0
9
77
RT @DrJimFan: What if we set GPT-4 free in Minecraft? ⛏️. I’m excited to announce Voyager, the first lifelong learning agent that plays Min….
0
2K
0
#Neurips2022 come to our "Learning Dissipative Dynamics in Chaotic Systems" on Wed at 11am, Hall J #740. We learn Kolmogorov Flow with Reynolds numbers up to 5000 and enforce dissipativity which is stable against O(10^4) perturbation. @AnimaAnandkumar @Azizzadenesheli @NKovachki
1
7
64