Zhenkun Wang
19 papers · 2023–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (7) π Cross-Pollinator (12) π Interdisciplinary Bridge π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (28)
π€
Dynamic Duo
(10)
π
Grand Slam
π
Keyword Champion
(5)
π
Conference Pioneer
β‘
Prolific Year
(8)
π
Century Club
(19)
Conferences
ICML (6)
AAAI (5)
NIPS (3)
ICLR (2)
CVPR (1)
IJCAI (1)
MICCAI (1)
Top co-authors
Keywords
multi-objective optimization
(5)
neural combinatorial optimization
(5)
nadir objective vector
(2)
combinatorial optimization
(2)
traveling salesman problem
(2)
boundary decomposition
(2)
evolutionary algorithm
(2)
bilevel optimization
(2)
discrete optimization
(1)
adversarial attack
(1)
heuristic search
(1)
large-scale optimization
(1)
deep neural network
(1)
zero-shot generalization
(1)
neural network optimization
(1)
solution quality
(1)
neural solver
(1)
divide and conquer
(1)
loss function
(1)
sub-problem solving
(1)
Papers
Boosting Neural Combinatorial Optimization for Large-Scale Vehicle Routing Problems
ICLR 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
Destroy and Repair Using Hyper-Graphs for Routing
AAAI 2025
Multi-Objective Evolution of Heuristic Using Large Language Model
AAAI 2025
CaDA: Cross-Problem Routing Solver with Constraint-Aware Dual-Attention
ICML 2025
Balancing Model Efficiency and Performance: Adaptive Pruner for Long-tailed Data
ICML 2025
Boundary Decomposition for Finding Nadir Objective Vector in Multi-Objective Discrete Optimization
AAAI 2025
MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework
CVPR 2025
Tail-Enhanced Representation Learning for Surgical Triplet Recognition
MICCAI 2024
UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems
NIPS 2024
Boundary Decomposition for Nadir Objective Vector Estimation
NIPS 2024
Learning Encodings for Constructive Neural Combinatorial Optimization Needs to Regret
AAAI 2024
Smooth Tchebycheff Scalarization for Multi-Objective Optimization
ICML 2024
Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model
ICML 2024
DPN: Decoupling Partition and Navigation for Neural Solvers of Min-max Vehicle Routing Problems
ICML 2024
Prompt Learning for Generalized Vehicle Routing
IJCAI 2024
Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization
NIPS 2023
A Generalized Scalarization Method for Evolutionary Multi-Objective Optimization
AAAI 2023