Siyuan Xu
13 papers · 2022–2026 · 8 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 ↑
π£ Hot Topic Early Bird π Conference Polyglot Β· Silver πΊοΈ Taxonomy Completionist (39) π Interdisciplinary Bridge Β· Silver π Grand Slam
π
Grand Slam
π
Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(73)
Top co-authors
Research topics
Machine Learning
(10)
Artificial Intelligence
(8)
Reinforcement Learning
(7)
Learning Paradigms
(5)
Methods
(5)
Optimization & Theory
(5)
Deep Learning
(4)
Core AI
(4)
Learning Types Β· Machine Learning
(4)
Mathematics & Optimization
(3)
Application Areas
(3)
Applications
(3)
Core Methods
(3)
Learning Types Β· Deep Learning
(3)
Optimization
(3)
Keywords
reinforcement learning
(4)
macro placement
(3)
constrained optimization
(2)
meta-reinforcement learning
(2)
bilevel optimization
(2)
chip design
(2)
online learning
(1)
hyperparameter optimization
(1)
few-shot learning
(1)
embedding space
(1)
domain adaptation
(1)
uncertainty quantification
(1)
privacy preservation
(1)
policy learning
(1)
multi-task learning
(1)
model editing
(1)
bayesian learning
(1)
image translation
(1)
remote sensing
(1)
multi-modality learning
(1)
Papers
When Privacy Meets Recovery: The Overlooked Half of Surrogate-Driven Privacy Preservation for MLLM Editing
AAAI 2026
Advancing Stain Transfer for Multi-Biomarkers: A Human Annotation-Free Method Based on Auxiliary Task Supervision
IJCAI 2025
LaMPlace: Learning to Optimize Cross-Stage Metrics in Macro Placement
ICLR 2025
Meta-Reinforcement Learning with Adaptation from Human Feedback via Preference-Order-Preserving Task Embedding
ICML 2025
Reinforcement Learning for Large Language Models via Group Preference Reward Shaping
EMNLP 2025
FlexPlanner: Flexible 3D Floorplanning via Deep Reinforcement Learning in Hybrid Action Space with Multi-Modality Representation
NeurIPS 2024
Meta-Reinforcement Learning with Universal Policy Adaptation: Provable Near-Optimality under All-task Optimum Comparator
NeurIPS 2024
Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer
NeurIPS 2024
Reinforcement Learning within Tree Search for Fast Macro Placement
ICML 2024
Uncertainty-aware Continuous Implicit Neural Representations for Remote Sensing Object Counting
AISTATS 2024
Efficient Gradient Approximation Method for Constrained Bilevel Optimization
AAAI 2023
Online Constrained Meta-Learning: Provable Guarantees for Generalization
NeurIPS 2023
Meta Value Learning for Fast Policy-Centric Optimal Motion Planning
RSS 2022