Yan Jin
11 papers · 2020–2026 · 3 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (19) π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint 𧬠Topic Evolution
π
Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(7)
Mathematics & Optimization
(6)
Optimization
(6)
Optimization & Theory
(5)
Artificial Intelligence
(4)
Reinforcement Learning
(4)
Core AI
(4)
Deep Learning
(3)
Learning Types
(3)
Methods
(3)
Architectures
(2)
Data Science & Analytics
(1)
Robotics
(1)
Application Areas
(1)
Applications
(1)
Keywords
combinatorial optimization
(7)
traveling salesman problem
(4)
neighborhood search
(2)
reinforcement learning
(2)
neural network
(2)
catastrophic forgetting
(1)
continual learning
(1)
deep reinforcement learning
(1)
prompt learning
(1)
knowledge transfer
(1)
community detection
(1)
class imbalance
(1)
hierarchical reinforcement learning
(1)
parallel computing
(1)
robot manipulation
(1)
sequential decision making
(1)
divide and conquer
(1)
multi-armed bandit
(1)
partially observable markov decision process
(1)
graph theory
(1)
Papers
AVA-VLA: Improving Vision-Language-Action models with Active Visual Attention
CVPR 2026
DualOpt: A Dual Divide-and-Optimize Algorithm for the Large-scale Traveling Salesman Problem
AAAI 2025
NS4S: Neighborhood Search for Scheduling Problems Via Large Language Models
IJCAI 2025
Dynamically Anchored Prompting for Task-Imbalanced Continual Learning
IJCAI 2024
ReinforceNS: Reinforcement Learning-based Multi-start Neighborhood Search for Solving the Traveling Thief Problem
IJCAI 2024
H-TSP: Hierarchically Solving the Large-Scale Traveling Salesman Problem
AAAI 2023
Long-Tailed Visual Recognition via Self-Heterogeneous Integration With Knowledge Excavation
CVPR 2023
Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman Problem
AAAI 2023
BandMaxSAT: A Local Search MaxSAT Solver with Multi-armed Bandit
IJCAI 2022
Combining Reinforcement Learning with Lin-Kernighan-Helsgaun Algorithm for the Traveling Salesman Problem
AAAI 2021
Enumerating Maximal k-Plexes with Worst-Case Time Guarantee
AAAI 2020