Shengbo Eben Li
10 papers · 2022–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Conference Polyglot (4) π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (14)
π§
Keyword Pioneer
π
Grand Slam
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Triple Crown
π
Century Club
(10)
π₯
Unstoppable
(5)
Conferences
ICLR (4)
ICML (3)
AAAI (1)
L4DC (1)
NIPS (1)
Top co-authors
Research topics
Keywords
deep reinforcement learning
(1)
constrained reinforcement learning
(1)
adversarial training
(1)
formal verification
(1)
optimal control
(1)
value function
(1)
continuous control
(1)
entropy estimation
(1)
energy function
(1)
gaussian mixture model
(1)
diffusion model
(1)
entropy regularization
(1)
neural network verification
(1)
hamilton-jacobi reachability
(1)
multimodal policy
(1)
lagrangian method
(1)
safe control
(1)
lipshitz constant
(1)
policy representation
(1)
action smoothing
(1)
Papers
Scalable Synthesis of Formally Verified Neural Value Function for Hamilton-Jacobi Reachability Analysis (Abstract Reprint)
AAAI 2026
ODE-based Smoothing Neural Network for Reinforcement Learning Tasks
ICLR 2025
Diffusion-Based Planning for Autonomous Driving with Flexible Guidance
ICLR 2025
LipsNet++: Unifying Filter and Controller into a Policy Network
ICML 2025
Diffusion Actor-Critic with Entropy Regulator
NIPS 2024
Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model
ICLR 2024
SEPT: Towards Efficient Scene Representation Learning for Motion Prediction
ICLR 2024
Feasible Reachable Policy Iteration
ICML 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