Product
Help
Pricing
About
Jobs
Log in
Get started
Author
Add to collection
Weinan E
Observed name:
E, Weinan
Institutions:
Peking University,
State Key Laboratory of Proteomics
Observed institutions:
University of Science and Technology of China,
Princeton University,
Peking University,
Beijing Institute of Big Data Research,
State Key Laboratory of Proteomics,
Stanford University
show all 6
OpenAlex ID:
A5112570365
Bridging Traditional and Machine Learning-Based Algorithms for Solving PDEs: The Random Feature Method
2022
·
Jingrun Chen
, Xurong Chi
, et al.
·
Journal of Machine Learning
·
114
PDF
Towards a Mathematical Understanding of Neural Network-Based Machine Learning: What We Know and What We Don't
2020
·
Weinan E
, Chao Ma
, et al.
·
CSIAM Transactions on Applied Mathematics
·
103
On the Banach Spaces Associated with Multi-Layer ReLU Networks: Function Representation, Approximation Theory and Gradient Descent Dynamics
2020
·
Weinan E
, Stephan Wojtowytsch
·
CSIAM Transactions on Applied Mathematics
·
36
MOD-Net: A Machine Learning Approach via Model-Operator-Data Network for Solving PDEs
2022
·
Lulu Zhang
, Tao Luo
, et al.
·
Communications in Computational Physics
·
31
PDF
The Random Feature Method for Time-Dependent Problems
2023
·
Jing-Run Chen
, Weinan E
, et al.
·
East Asian Journal on Applied Mathematics
·
27
PDF
DeePN$^2$: A Deep Learning-Based Non-Newtonian Hydrodynamic Model
2022
·
Lidong Fang
, Pei Ge
, et al.
·
Journal of Machine Learning
·
10
PDF
An $L^2$ Analysis of Reinforcement Learning in High Dimensions with Kernel and Neural Network Approximation
2022
·
Jihao Long
, Jiequn Han
, et al.
·
CSIAM Transactions on Applied Mathematics
·
7
AI proteomics: from protein identification to virtual cells
2026
·
Yingying Sun
, Jun A
, et al.
·
Nature Methods
·
4
An operational perturbation proteomics-based virtual cell model
2026
·
Rui Sun
, Liujia Qian
, et al.
·
Nature
·
3
A large-scale unified deep learning model for peptide mass spectrum interpretation trained on multimodal data
2026
·
Jiale Zhao
, Pengzhi Mao
, et al.
·
Nature Machine Intelligence
·
2
Anchor Function: A Type of Benchmark Functions for Studying Language Models
2026
·
Zhongwang Zhang
, Zhiwei Wang
, et al.
·
Journal of Machine Learning
·
2
PDF
Agentic University: Collaborative Agents for Personalized Learning
2026
·
Fan, Jingru
, Zhou, Tianle
, et al.
·
arXiv (Cornell University)
NMRPeak: a ready-to-use intelligent system for molecular structure elucidation enabled by synergistic cross-modal learning
2026
·
Jun Cheng
, Fanjie Xu
, et al.
·
Research Square
PDF
TeachMaster: Generative Teaching via Code
2026
·
Association for Computational Linguistics 2026
, Chen, Siheng
, et al.
·
Underline Science Inc.
PRL-Bench: A Comprehensive Benchmark Evaluating LLMs' Capabilities in Frontier Physics Research
2026
·
Miao, Tingjia
, Jin, Wenkai
, et al.
·
arXiv (Cornell University)
PDF
DIA-CLIP: a universal representation learning framework for zero-shot DIA proteomics
2026
·
Liao, Yucheng
, Wen, Han
, et al.
·
Zenodo (CERN European Organization for Nuclear Research)
Toward Ultra-Long-Horizon Agentic Science: Cognitive Accumulation for Machine Learning Engineering
2026
·
Zhu, Xinyu
, Cai, Yuzhu
, et al.
·
arXiv (Cornell University)
PDF
TeachMaster: Generative Teaching via Code
2026
·
Yuheng Wang
, Runde Yang
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
PhysMaster: Building an Autonomous AI Physicist for Theoretical and Computational Physics Research
2025
·
Miao, Tingjia
, Jin, Wenkai
, et al.
·
arXiv (Cornell University)
PDF
Show more works
View as search
Works count:
19
Citation count:
339
H-index:
7
I10-index:
6
Year
Topic
Type
