Ge Yan

17 papers · 2023–2026 · 7 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (35) 🏆 Grand Slam 🗃️ Keyword Collector (100)

⚡ Prolific Year · Productive 🌈 Renaissance Researcher (6) 💎 Century Club · Bronze

Venues

ICML (6) CoRL (3) CVPR (2) ICLR (2) NeurIPS (2) AAAI (1) EMNLP (1)

Top co-authors

Junchi Yan (8) Tsui-Wei Weng (6) Kaisen Pan (3) Xiaolong Wang (3) Tuomas Oikarinen (3) Xudong Lu (2) Chung-En Sun (2) Xuxin Cheng (2) Shiqi Yang (2) Ruocheng Wang (2)

Research topics

Machine Learning (14) Artificial Intelligence (8) Core AI (8) Deep Learning (7) Core Methods (5) Optimization & Theory (5) Interdisciplinary (4) Application Areas (4) Architectures (4) Science (4) Computer Vision (3) Mathematics & Optimization (3) Models (3) Optimization (3) Robotics (2)

Keywords

variational quantum algorithm (3) quantum computing (3) vision-language model (2) parameterized quantum circuit (2) quadratic assignment problem (2) mechanistic interpretability (2) combinatorial optimization (2) concept bottleneck model (2) quantum neural network (2) quantum architecture search (2) conformal prediction (1) truthfulness (1) interpretable machine learning (1) transformer (1) chain-of-thought reasoning (1) adversarial robustness (1) representation learning (1) uncertainty quantification (1) constrained optimization (1) graph matching (1)

Papers

Beyond Top Activations: Efficient and Reliable Crowdsourced Evaluation of Automated Interpretability CVPR 2026 Towards Real-Time Neutral Atom Array Assembly via Unsupervised Hologram Generation and Path Optimization AAAI 2026 Evaluating Neuron Explanations: A Unified Framework with Sanity Checks ICML 2025 Humanoid Policy Human Policy CoRL 2025 Interpretable Generative Models through Post-hoc Concept Bottlenecks CVPR 2025 ManiFlow: A General Robot Manipulation Policy via Consistency Flow Training CoRL 2025 QuanONet: Quantum Neural Operator with Application to Differential Equation ICML 2025 ThinkEdit: Interpretable Weight Editing to Mitigate Overly Short Thinking in Reasoning Models EMNLP 2025 Provably Robust Conformal Prediction with Improved Efficiency ICLR 2024 Rethinking Parity Check Enhanced Symmetry-Preserving Ansatz NeurIPS 2024 Rethinking the symmetry-preserving circuits for constrained variational quantum algorithms ICLR 2024 VLG-CBM: Training Concept Bottleneck Models with Vision-Language Guidance NeurIPS 2024 GNFactor: Multi-Task Real Robot Learning with Generalizable Neural Feature Fields CoRL 2023 QAS-Bench: Rethinking Quantum Architecture Search and A Benchmark ICML 2023 Quantum 3D Graph Learning with Applications to Molecule Embedding ICML 2023 QuantumDARTS: Differentiable Quantum Architecture Search for Variational Quantum Algorithms ICML 2023 Towards Quantum Machine Learning for Constrained Combinatorial Optimization: a Quantum QAP Solver ICML 2023