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Career

· Assistant Professor, Westlake University

Publications (46)

Graph Information Bottleneck
Neural Information Processing Systems · 2020
304
cited
AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity
Neural Information Processing Systems · 2020
233
cited
Learning with Confident Examples: Rank Pruning for Robust Classification with Noisy Labels
Conference on Uncertainty in Artificial Intelligence · 2017
170
cited
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems
Found. Trends Mach. Learn. · 2023
149
cited
Toward an AI Physicist for Unsupervised Learning
Physical Review E · 2018
71
cited
Pathway-based mean-field model for Escherichia coli chemotaxis.
Physical Review Letters · 2012
55
cited
Frequency-dependent Escherichia coli chemotaxis behavior.
Physical Review Letters · 2012
48
cited
Learnability for the Information Bottleneck
Conference on Uncertainty in Artificial Intelligence · 2019
44
cited
Learning to Accelerate Partial Differential Equations via Latent Global Evolution
Neural Information Processing Systems · 2022
38
cited
Learning Large-scale Subsurface Simulations with a Hybrid Graph Network Simulator
Knowledge Discovery and Data Mining · 2022
36
cited
Phase Transitions for the Information Bottleneck in Representation Learning
International Conference on Learning Representations · 2020
31
cited
Preventing and reversing vacuum-induced optical losses in high-finesse tantalum (V) oxide mirror coatings.
Optics Express · 2015
31
cited
Discovering Nonlinear Relations with Minimum Predictive Information Regularization
arXiv.org · 2020
30
cited
Learning Controllable Adaptive Simulation for Multi-resolution Physics
International Conference on Learning Representations · 2023
28
cited
ZeroC: A Neuro-Symbolic Model for Zero-shot Concept Recognition and Acquisition at Inference Time
Neural Information Processing Systems · 2022
27
cited
An optimum approach for fabrication of low loss fused fiber couplers
2001
24
cited
Meta-learning autoencoders for few-shot prediction
arXiv.org · 2018
24
cited
Compositional Generative Inverse Design
International Conference on Learning Representations · 2024
16
cited
Pareto-Optimal Data Compression for Binary Classification Tasks
Entropy · 2019
16
cited
Low-temperature CVD growth of carbon nanotubes for field emission application
2007
15
cited
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