Long Yang
18 papers · 2017–2026 · 8 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (30) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π Academic Marathon Β· Sprint
π
Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
π
Century Club Β· Bronze
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Keyword Collector
(97)
Top co-authors
Research topics
Keywords
reinforcement learning
(4)
policy optimization
(4)
safe reinforcement learning
(4)
policy gradient
(3)
constraint satisfaction
(3)
iteration complexity
(2)
temporal difference learning
(2)
policy evaluation
(1)
black-box optimization
(1)
3d reconstruction
(1)
robotic manipulation
(1)
variational inference
(1)
pose estimation
(1)
convex optimization
(1)
trajectory prediction
(1)
sample efficiency
(1)
sample complexity
(1)
function approximation
(1)
risk management
(1)
game theory
(1)
Papers
GeoPredict: Leveraging Predictive Kinematics and 3D Gaussian Geometry for Precise VLA Manipulation
CVPR 2026
A Semi-Supervised Knowledge Distillation Framework for Left Ventricle Segmentation and Landmark Detection in Echocardiograms
MICCAI 2025
Low-Dimension-to-High-Dimension Generalization and Its Implications for Length Generalization
ICML 2025
UniTac2Pose: A Unified Approach Learned in Simulation for Category-level Visuotactile In-hand Pose Estimation
CoRL 2025
FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Resource Allocation
IJCAI 2024
Langevin Policy for Safe Reinforcement Learning
ICML 2024
Optimizing over Multiple Distributions under Generalized Quasar-Convexity Condition
NeurIPS 2024
Augmented Proximal Policy Optimization for Safe Reinforcement Learning
AAAI 2023
VOCE: Variational Optimization with Conservative Estimation for Offline Safe Reinforcement Learning
NeurIPS 2023
Zeroth-order Optimization with Weak Dimension Dependency
COLT 2023
Constrained Update Projection Approach to Safe Policy Optimization
NeurIPS 2022
Penalized Proximal Policy Optimization for Safe Reinforcement Learning
IJCAI 2022
Policy Optimization with Stochastic Mirror Descent
AAAI 2022
On Convergence of Gradient Expected Sarsa(Ξ»)
AAAI 2021
Sample Complexity of Policy Gradient Finding Second-Order Stationary Points
AAAI 2021
A Unified Approach for Multi-step Temporal-Difference Learning with Eligibility Traces in Reinforcement Learning
IJCAI 2018
Texture Mapping for 3D Reconstruction With RGB-D Sensor
CVPR 2018
Distinguishing the Indistinguishable: Exploring Structural Ambiguities via Geodesic Context
CVPR 2017