Chengyang Ying
12 papers · 2022–2025 · 4 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (31) π€ Dynamic Duo (12)
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Renaissance Researcher
(6)
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Keyword Collector
(69)
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Trend Setter
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Century Club Β· Bronze
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Prolific Year Β· Productive
Venues
Top co-authors
Research topics
Keywords
partial differential equation
(3)
neural operator
(2)
sample efficiency
(2)
certified robustness
(1)
unsupervised pretraining
(1)
attention mechanism
(1)
offline reinforcement learning
(1)
pretraining
(1)
importance sampling
(1)
continuous control
(1)
k-d tree
(1)
bias correction
(1)
skill discovery
(1)
machine learning
(1)
safe reinforcement learning
(1)
bilevel optimization
(1)
generative model
(1)
diffusion model
(1)
risk-sensitive optimization
(1)
visual reinforcement learning
(1)
Papers
Self-Consistent Model-based Adaptation for Visual Reinforcement Learning
IJCAI 2025
DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training
ICML 2024
Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning
ICML 2024
PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning
NeurIPS 2024
Bi-level Physics-Informed Neural Networks for PDE Constrained Optimization using Broyden's Hypergradients
ICLR 2023
GNOT: A General Neural Operator Transformer for Operator Learning
ICML 2023
NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data
ICML 2023
Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling
ICLR 2023
On the Reuse Bias in Off-Policy Reinforcement Learning
IJCAI 2023
A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs
NeurIPS 2022
GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing
ICML 2022
Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk
IJCAI 2022