Ge Yan
16 papers · 2023–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (6) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (6) π Renaissance Researcher (6)
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Taxonomy Completionist
(29)
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Grand Slam
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(15)
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Keyword Collector
(61)
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Prolific Year
(6)
Conferences
ICML (6)
CORL (3)
ICLR (2)
NIPS (2)
AAAI (1)
CVPR (1)
EMNLP (1)
Top co-authors
Keywords
quantum computing
(3)
combinatorial optimization
(2)
quantum neural network
(2)
quadratic assignment problem
(2)
concept bottleneck model
(2)
variational quantum algorithm
(2)
vision-language model
(2)
parameterized quantum circuit
(2)
quantum architecture search
(2)
graph matching
(1)
constrained optimization
(1)
image-to-image translation
(1)
behavior cloning
(1)
graph embedding
(1)
robotic manipulation
(1)
representation learning
(1)
language model
(1)
neural architecture search
(1)
multi-task learning
(1)
node embedding
(1)
Papers
Towards Real-Time Neutral Atom Array Assembly via Unsupervised Hologram Generation and Path Optimization
AAAI 2026
ManiFlow: A General Robot Manipulation Policy via Consistency Flow Training
CORL 2025
QuanONet: Quantum Neural Operator with Application to Differential Equation
ICML 2025
Evaluating Neuron Explanations: A Unified Framework with Sanity Checks
ICML 2025
Humanoid Policy Β Human Policy
CORL 2025
Interpretable Generative Models through Post-hoc Concept Bottlenecks
CVPR 2025
ThinkEdit: Interpretable Weight Editing to Mitigate Overly Short Thinking in Reasoning Models
EMNLP 2025
Rethinking the symmetry-preserving circuits for constrained variational quantum algorithms
ICLR 2024
VLG-CBM: Training Concept Bottleneck Models with Vision-Language Guidance
NIPS 2024
Provably Robust Conformal Prediction with Improved Efficiency
ICLR 2024
Rethinking Parity Check Enhanced Symmetry-Preserving Ansatz
NIPS 2024
Quantum 3D Graph Learning with Applications to Molecule Embedding
ICML 2023
Towards Quantum Machine Learning for Constrained Combinatorial Optimization: a Quantum QAP Solver
ICML 2023
QuantumDARTS: Differentiable Quantum Architecture Search for Variational Quantum Algorithms
ICML 2023
QAS-Bench: Rethinking Quantum Architecture Search and A Benchmark
ICML 2023
GNFactor: Multi-Task Real Robot Learning with Generalizable Neural Feature Fields
CORL 2023