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Yuanyuan Shi

18 papers · 2016–2026 · 8 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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+6 more ↓ πŸ—ΊοΈ Taxonomy Completionist (34) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Half πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🧬 Topic Evolution πŸ† Grand Slam 🧭 Keyword Pioneer πŸ—ƒοΈ Keyword Collector (96) πŸ’Ž Century Club Β· Bronze 🌈 Renaissance Researcher (5)

Venues

L4DC (5) NeurIPS (4) ICLR (3) AAAI (2) ACL (1) COLING (1) EMNLP (1) ICML (1)

Top co-authors

Luke Bhan (4) Baosen Zhang (3) Miroslav Krstic (3) Adam Wierman (2) Anima Anandkumar (2) Yuexin Bian (2) Yize Chen (2) Jie Feng (2) Victor Li (1) Haohan Zou (1)

Research topics

Artificial Intelligence (12) Core AI (11) Machine Learning (9) Deep Learning (7) Reinforcement Learning (6) Architectures (5) Optimization & Theory (5) Application Areas (4) Methods (4) Robotics (3) Applications (3) Core Methods (3) Systems (3) Natural Language Processing (2) Learning Types (2)

Keywords

reinforcement learning (4) neural operator (3) neural network (2) dynamical system (2) optimal control (2) lyapunov function (2) policy optimization (1) imitation learning (1) adversarial learning (1) convex optimization (1) model misspecification (1) medical imaging (1) information retrieval (1) universal approximation (1) domain adaptation (1) adversarial robustness (1) robust reinforcement learning (1) model predictive control (1) neural network optimization (1) semidefinite programming (1)

Papers

Anatomical Region-Guided Contrastive Decoding: A Plug-and-Play Strategy for Mitigating Hallucinations in Medical VLMs AAAI 2026 DiffOP: Reinforcement Learning of Optimization-Based Control Policies via Implicit Policy Gradients AAAI 2026 ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling ACL 2026 Analytical Lyapunov Function Discovery: An RL-based Generative Approach ICML 2025 Generalizable Motion Planning via Operator Learning ICLR 2025 Neural Operators for Predictor Feedback Control of Nonlinear Delay Systems L4DC 2025 Uncovering the Bigger Picture: Comprehensive Event Understanding Via Diverse News Retrieval EMNLP 2025 Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation NeurIPS 2024 PDE control gym: A benchmark for data-driven boundary control of partial differential equations L4DC 2024 Operator Learning for Nonlinear Adaptive Control L4DC 2023 Structured Neural-PI Control with End-to-End Stability and Output Tracking Guarantees NeurIPS 2023 SustainGym: Reinforcement Learning Environments for Sustainable Energy Systems NeurIPS 2023 Safe Reinforcement Learning of Control-Affine Systems with Vertex Networks L4DC 2021 Stable Online Control of Linear Time-Varying Systems L4DC 2021 Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds NeurIPS 2021 Robust Reinforcement Learning for Continuous Control with Model Misspecification ICLR 2020 Optimal Control Via Neural Networks: A Convex Approach ICLR 2019 Product Review Summarization by Exploiting Phrase Properties COLING 2016