Zhenkun Wang
19 papers · 2023–2025 · 7 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (34) π Grand Slam
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Dynamic Duo
(10)
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Grand Slam
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Conference Pioneer
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Keyword Collector
(80)
Top co-authors
Research topics
Machine Learning
(12)
Mathematics & Optimization
(11)
Optimization
(11)
Optimization & Theory
(10)
Artificial Intelligence
(9)
Deep Learning
(8)
Core AI
(6)
Learning Types Β· Machine Learning
(5)
Architectures
(4)
Application Areas
(3)
Learning Paradigms
(3)
Learning Types Β· Deep Learning
(3)
Reinforcement Learning
(1)
Robotics
(1)
Capabilities
(1)
Keywords
neural combinatorial optimization
(6)
multi-objective optimization
(6)
combinatorial optimization
(3)
vehicle routing problem
(3)
large language model
(3)
loss function
(2)
pareto solution
(2)
automatic heuristic design
(2)
traveling salesman problem
(2)
evolutionary algorithm
(2)
nadir objective vector
(2)
bilevel optimization
(2)
boundary decomposition
(2)
evolutionary computation
(2)
divide and conquer
(1)
surrogate loss
(1)
symmetry
(1)
smooth optimization
(1)
discrete optimization
(1)
prompt learning
(1)
Papers
Balancing Model Efficiency and Performance: Adaptive Pruner for Long-tailed Data
ICML 2025
Boosting Neural Combinatorial Optimization for Large-Scale Vehicle Routing Problems
ICLR 2025
Boundary Decomposition for Finding Nadir Objective Vector in Multi-Objective Discrete Optimization
AAAI 2025
CaDA: Cross-Problem Routing Solver with Constraint-Aware Dual-Attention
ICML 2025
Destroy and Repair Using Hyper-Graphs for Routing
AAAI 2025
Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization
ICLR 2025
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design
ICML 2025
MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework
CVPR 2025
Multi-Objective Evolution of Heuristic Using Large Language Model
AAAI 2025
Boundary Decomposition for Nadir Objective Vector Estimation
NeurIPS 2024
DPN: Decoupling Partition and Navigation for Neural Solvers of Min-max Vehicle Routing Problems
ICML 2024
Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model
ICML 2024
Learning Encodings for Constructive Neural Combinatorial Optimization Needs to Regret
AAAI 2024
Prompt Learning for Generalized Vehicle Routing
IJCAI 2024
Smooth Tchebycheff Scalarization for Multi-Objective Optimization
ICML 2024
Tail-Enhanced Representation Learning for Surgical Triplet Recognition
MICCAI 2024
UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems
NeurIPS 2024
A Generalized Scalarization Method for Evolutionary Multi-Objective Optimization
AAAI 2023
Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization
NeurIPS 2023