Sicun Gao
25 papers · 2017–2025 · 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
Jump to papers ↓+6 more ↓ Show less ↑
🗺️ Taxonomy Completionist (44) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
🗃️
Keyword Collector
(139)
🚀
Conference Pioneer
🔥
Unstoppable · Bronze
⚡
Prolific Year · Productive
💎
Century Club · Bronze
🌈
Renaissance Researcher
(8)
Top co-authors
Research topics
Machine Learning
(15)
Optimization & Theory
(11)
Reinforcement Learning
(10)
Artificial Intelligence
(9)
Deep Learning
(9)
Core AI
(9)
Methods
(9)
Architectures
(6)
Applications
(5)
Application Areas
(4)
Mathematics & Optimization
(3)
Robotics
(3)
Capabilities
(3)
Learning Types
(3)
Optimization
(3)
Keywords
policy optimization
(3)
graph neural network
(3)
nonlinear control
(2)
lyapunov function
(2)
motion planning
(2)
monte carlo tree search
(2)
symbolic abstraction
(2)
collision avoidance
(2)
robustness
(2)
reinforcement learning
(1)
black-box optimization
(1)
learning theory
(1)
imitation learning
(1)
text classification
(1)
non-convex optimization
(1)
representation learning
(1)
data augmentation
(1)
text-to-image synthesis
(1)
temporal encoding
(1)
online learning
(1)
Papers
Improving Compositional Generation with Diffusion Models Using Lift Scores
ICML 2025
Improving Value Estimation Critically Enhances Vanilla Policy Gradient
ICML 2025
Sequence Modeling for Time-Optimal Quadrotor Trajectory Optimization with Sampling-based Robustness Analysis
CoRL 2025
When Maximum Entropy Misleads Policy Optimization
ICML 2025
Activation-Descent Regularization for Input Optimization of ReLU Networks
ICML 2024
Breaking the Barrier: Enhanced Utility and Robustness in Smoothed DRL Agents
ICML 2024
Mollification Effects of Policy Gradient Methods
ICML 2024
Sample-and-Bound for Non-convex Optimization
AAAI 2024
SEEV: Synthesis with Efficient Exact Verification for ReLU Neural Barrier Functions
NeurIPS 2024
Smaller Language Models are Better Zero-shot Machine-Generated Text Detectors
EACL 2024
Understanding the difficulty of solving Cauchy problems with PINNs
L4DC 2024
Everyone’s Preference Changes Differently: A Weighted Multi-Interest Model For Retrieval
ICML 2023
Fractal Landscapes in Policy Optimization
NeurIPS 2023
Iterative Reachability Estimation for Safe Reinforcement Learning
NeurIPS 2023
Learning-based Motion Planning in Dynamic Environments Using GNNs and Temporal Encoding
NeurIPS 2022
Learning Bounded Context-Free-Grammar via LSTM and the Transformer: Difference and the Explanations
AAAI 2022
Learning Control Admissibility Models with Graph Neural Networks for Multi-Agent Navigation
CoRL 2022
Monte Carlo Tree Descent for Black-Box Optimization
NeurIPS 2022
Policy Optimization with Advantage Regularization for Long-Term Fairness in Decision Systems
NeurIPS 2022
Reducing Collision Checking for Sampling-Based Motion Planning Using Graph Neural Networks
NeurIPS 2021
Safe Nonlinear Control Using Robust Neural Lyapunov-Barrier Functions
CoRL 2021
Provably Efficient Model-based Policy Adaptation
ICML 2020
Inverse Abstraction of Neural Networks Using Symbolic Interpolation
AAAI 2019
Neural Lyapunov Control
NeurIPS 2019
Learning-Based Abstractions for Nonlinear Constraint Solving
IJCAI 2017