Sicun Gao
25 papers · 2017–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (8) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (7) π Cross-Pollinator (10)
π
Conference Polyglot
(7)
π
Academic Marathon
(8)
π§
Keyword Pioneer
π
Keyword Champion
(2)
π₯
Unstoppable
(7)
π
Conference Pioneer
π
Century Club
(25)
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(99)
Conferences
ICML (8)
NIPS (8)
AAAI (3)
CORL (3)
EACL (1)
IJCAI (1)
L4DC (1)
Top co-authors
Research topics
Keywords
graph neural network
(3)
policy optimization
(2)
nonlinear control
(2)
monte carlo tree search
(2)
lyapunov function
(2)
collision avoidance
(2)
motion planning
(2)
symbolic abstraction
(2)
online learning
(1)
text classification
(1)
reinforcement learning
(1)
policy gradient
(1)
constraint solving
(1)
temporal encoding
(1)
transformer architecture
(1)
black-box optimization
(1)
gaussian process
(1)
learning theory
(1)
markov decision process
(1)
domain randomization
(1)
Papers
Sequence Modeling for Time-Optimal Quadrotor Trajectory Optimization with Sampling-based Robustness Analysis
CORL 2025
Improving Value Estimation Critically Enhances Vanilla Policy Gradient
ICML 2025
When Maximum Entropy Misleads Policy Optimization
ICML 2025
Improving Compositional Generation with Diffusion Models Using Lift Scores
ICML 2025
SEEV: Synthesis with Efficient Exact Verification for ReLU Neural Barrier Functions
NIPS 2024
Understanding the difficulty of solving Cauchy problems with PINNs
L4DC 2024
Sample-and-Bound for Non-convex Optimization
AAAI 2024
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
Smaller Language Models are Better Zero-shot Machine-Generated Text Detectors
EACL 2024
Fractal Landscapes in Policy Optimization
NIPS 2023
Everyoneβs Preference Changes Differently: A Weighted Multi-Interest Model For Retrieval
ICML 2023
Iterative Reachability Estimation for Safe Reinforcement Learning
NIPS 2023
Learning Bounded Context-Free-Grammar via LSTM and the Transformer: Difference and the Explanations
AAAI 2022
Policy Optimization with Advantage Regularization for Long-Term Fairness in Decision Systems
NIPS 2022
Monte Carlo Tree Descent for Black-Box Optimization
NIPS 2022
Learning-based Motion Planning in Dynamic Environments Using GNNs and Temporal Encoding
NIPS 2022
Learning Control Admissibility Models with Graph Neural Networks for Multi-Agent Navigation
CORL 2022
Safe Nonlinear Control Using Robust Neural Lyapunov-Barrier Functions
CORL 2021
Reducing Collision Checking for Sampling-Based Motion Planning Using Graph Neural Networks
NIPS 2021
Provably Efficient Model-based Policy Adaptation
ICML 2020
Neural Lyapunov Control
NIPS 2019
Inverse Abstraction of Neural Networks Using Symbolic Interpolation
AAAI 2019
Learning-Based Abstractions for Nonlinear Constraint Solving
IJCAI 2017