Jinkyoo Park
39 papers · 2020–2026 · 7 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (15) π§ Keyword Pioneer π Renaissance Researcher (5) π Interdisciplinary Bridge π Conference Polyglot (7)
πΊοΈ
Taxonomy Completionist
(15)
π§
Keyword Pioneer
π
Cross-Pollinator
(10)
π
Grand Slam
π
Triple Crown
π€
Dynamic Duo
(16)
π
Keyword Champion
π
Century Club
(37)
π
Trend Setter
β‘
Prolific Year
(6)
ποΈ
Keyword Collector
(148)
π₯
Unstoppable
(6)
Conferences
NIPS (15)
ICML (8)
ICLR (7)
AAAI (5)
AISTATS (2)
CVPR (1)
IJCAI (1)
Top co-authors
Research topics
Keywords
combinatorial optimization
(5)
reinforcement learning
(4)
dynamical system
(3)
graph neural network
(3)
vehicle routing problem
(3)
large language model
(2)
neural differential equation
(2)
offline optimization
(2)
neural ordinary differential equation
(2)
traveling salesman problem
(2)
evolutionary algorithm
(2)
diffusion model
(2)
transformer architecture
(2)
attention mechanism
(2)
policy learning
(2)
generative flow network
(2)
deep learning
(2)
reward function
(2)
deep reinforcement learning
(2)
multi-agent system
(2)
Papers
TrajEvo: Trajectory Prediction Heuristics Design via LLM-driven Evolution
AAAI 2026
USPR: Learning a Unified Solver for Profiled Routing
AAAI 2026
Ant Colony Sampling with GFlowNets for Combinatorial Optimization
AISTATS 2025
Learning Strategy Representation for Imitation Learning in Multi-Agent Games
AAAI 2025
Learning to Sample Effective and Diverse Prompts for Text-to-Image Generation
CVPR 2025
Generative Flows on Synthetic Pathway for Drug Design
ICLR 2025
MOFFlow: Flow Matching for Structure Prediction of Metal-Organic Frameworks
ICLR 2025
Adaptive teachers for amortized samplers
ICLR 2025
Neural Genetic Search in Discrete Spaces
ICML 2025
Improved Off-policy Reinforcement Learning in Biological Sequence Design
ICML 2025
Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization
ICML 2025
ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution
NIPS 2024
GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning
NIPS 2024
Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization
NIPS 2024
Pessimistic Backward Policy for GFlowNets
NIPS 2024
Equity-Transformer: Solving NP-Hard Min-Max Routing Problems as Sequential Generation with Equity Context
AAAI 2024
Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization
ICML 2024
Learning to Scale Logits for Temperature-Conditional GFlowNets
ICML 2024
Local Search GFlowNets
ICLR 2024
Genetic-guided GFlowNets for Sample Efficient Molecular Optimization
NIPS 2024
Learning Efficient Surrogate Dynamic Models with Graph Spline Networks
NIPS 2023
Learning to CROSS exchange to solve min-max vehicle routing problems
ICLR 2023
Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences
NIPS 2023
DevFormer: A Symmetric Transformer for Context-Aware Device Placement
ICML 2023
Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization
ICML 2023
Bayesian Convolutional Deep Sets with Task-Dependent Stationary Prior
AISTATS 2023
Efficient Approximate Inference for Stationary Kernel on Frequency Domain
ICML 2022
Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization
NIPS 2022
Convergent Graph Solvers
ICLR 2022
Learning NP-Hard Multi-Agent Assignment Planning using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-learning
NIPS 2022
Neural Solvers for Fast and Accurate Numerical Optimal Control
ICLR 2022
Transform Once: Efficient Operator Learning in Frequency Domain
NIPS 2022
Neural Hybrid Automata: Learning Dynamics With Multiple Modes and Stochastic Transitions
NIPS 2021
Learning Collaborative Policies to Solve NP-hard Routing Problems
NIPS 2021
Differentiable Multiple Shooting Layers
NIPS 2021
Dissecting Neural ODEs
NIPS 2020
Multi-Agent Actor-Critic with Hierarchical Graph Attention Network
AAAI 2020
Hypersolvers: Toward Fast Continuous-Depth Models
NIPS 2020
WATTNet: Learning to Trade FX via Hierarchical Spatio-Temporal Representation of Highly Multivariate Time Series
IJCAI 2020