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Shengbo Eben Li

11 papers · 2022–2026 · 6 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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+3 more ↓ πŸŒ‰ Interdisciplinary Bridge Β· Silver πŸ—ΊοΈ Taxonomy Completionist (22) 🌍 Conference Polyglot Β· Silver πŸ† Grand Slam πŸ‘‘ Triple Crown
πŸ—ƒοΈ Keyword Collector (58) πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze

Venues

ICLR (4) ICML (3) AAAI (1) CVPR (1) L4DC (1) NeurIPS (1)

Top co-authors

Jingliang Duan (5) Xujie Song (4) Wenxuan Wang (4) Tong Liu (3) Yinuo Wang (3) Yujie Yang (3) Likun Wang (2) Changliu Liu (2) Liangfa Chen (2) Chen Chen (2)

Research topics

Artificial Intelligence (8) Core AI (8) Deep Learning (5) Machine Learning (5) Reinforcement Learning (5) Methods (5) Robotics (3) Models (3) Optimization & Theory (3) Applications (2) Architectures (2) Capabilities (2) Computer Vision (1) Core Methods (1) Domain-Specific (1)

Keywords

diffusion model (3) lipshitz constant (2) autonomous driving (2) sample efficiency (1) constrained reinforcement learning (1) policy iteration (1) self-supervised learning (1) adversarial training (1) trajectory forecasting (1) formal verification (1) optimal control (1) value function (1) energy function (1) continuous control (1) entropy estimation (1) policy learning (1) safe reinforcement learning (1) gaussian mixture model (1) offline reinforcement learning (1) reinforcement learning (1)

Papers

DriveCombo: Benchmarking Compositional Traffic Rule Reasoning in Autonomous Driving CVPR 2026 Scalable Synthesis of Formally Verified Neural Value Function for Hamilton-Jacobi Reachability Analysis (Abstract Reprint) AAAI 2026 Diffusion-Based Planning for Autonomous Driving with Flexible Guidance ICLR 2025 LipsNet++: Unifying Filter and Controller into a Policy Network ICML 2025 ODE-based Smoothing Neural Network for Reinforcement Learning Tasks ICLR 2025 Diffusion Actor-Critic with Entropy Regulator NeurIPS 2024 Feasible Reachable Policy Iteration ICML 2024 Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model ICLR 2024 SEPT: Towards Efficient Scene Representation Learning for Motion Prediction ICLR 2024 LipsNet: A Smooth and Robust Neural Network with Adaptive Lipschitz Constant for High Accuracy Optimal Control ICML 2023 Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement Learning L4DC 2022