Jinkyoo Park - RankMe

172 papers A* 40A 13B 1C 1Journal 107Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	JudgeFlow: Agentic Workflow Optimization via Block Judge. CoRR Zihan Ma, Zhikai Zhao, Chuanbo Hua, Federico Berto, Jinkyoo Park
2026	J	`jnl`	Priority-Aware Multi-Robot Coverage Path Planning. CoRR Kanghoon Lee, HyeonJun Kim, Jiachen Li, Jinkyoo Park
2026	J	`jnl`	Priority-Aware Multi-Robot Coverage Path Planning. IEEE Robotics Autom. Lett. Kanghoon Lee, HyeonJun Kim, Jiachen Li, Jinkyoo Park
2026	A*	`conf`	TrajEvo: Trajectory Prediction Heuristics Design via LLM-driven Evolution. AAAI Zhikai Zhao, Chuanbo Hua, Federico Berto, Kanghoon Lee, Zihan Ma, Jiachen Li, Jinkyoo Park
2026	A*	`conf`	USPR: Learning a Unified Solver for Profiled Routing. AAAI Chuanbo Hua, Federico Berto, Zhikai Zhao, Jiwoo Son, Changhyun Kwon, Jinkyoo Park
2026	A	`conf`	Urban Traffic Network Layout Optimization with Guided Discrete Diffusion Models. WSDM Taeyoung Yun, Inhyuck Song, Woocheol Shin, Yujin Shin, Sungpil Woo, Sunhwan Lim, Jinkyoo Park
2025	J	`jnl`	Active Attacks: Red-teaming LLMs via Adaptive Environments. CoRR Taeyoung Yun, Pierre-Luc St-Charles, Jinkyoo Park, Yoshua Bengio, Minsu Kim
2025	J	`jnl`	Adaptive Replay Buffer for Offline-to-Online Reinforcement Learning. CoRR Chihyeon Song, Jaewoo Lee, Jinkyoo Park
2025	A*	`conf`	Adaptive teachers for amortized samplers. ICLR Minsu Kim, Sanghyeok Choi, Taeyoung Yun, Emmanuel Bengio, Leo Feng, Jarrid Rector-Brooks, Sungsoo Ahn, Jinkyoo Park, Nikolay Malkin, Yoshua Bengio
2025	A	`conf`	Ant Colony Sampling with GFlowNets for Combinatorial Optimization. AISTATS Minsu Kim, Sanghyeok Choi, Hyeonah Kim, Jiwoo Son, Jinkyoo Park, Yoshua Bengio
2025	A	`conf`	CAMP: Collaborative Attention Model with Profiles for Vehicle Routing Problems. AAMAS Chuanbo Hua, Federico Berto, Jiwoo Son, Seunghyun Kang, Changhyun Kwon, Jinkyoo Park
2025	J	`jnl`	CAMP: Collaborative Attention Model with Profiles for Vehicle Routing Problems. CoRR Chuanbo Hua, Federico Berto, Jiwoo Son, Seunghyun Kang, Changhyun Kwon, Jinkyoo Park
2025	J	`jnl`	Decentralized and Communication-Based Multi-Agent Traffic Signal Control Model Employing a Graph Representation for the State. IEEE Trans. Intell. Transp. Syst. Jinwon Yoon, Kyuree Ahn, Kanghoon Lee, Jinkyoo Park, Hwasoo Yeo
2025	J	`jnl`	Decoupled Sequence and Structure Generation for Realistic Antibody Design. Trans. Mach. Learn. Res. Nayoung Kim, Minsu Kim, Sungsoo Ahn, Jinkyoo Park
2025	J	`jnl`	Diffusion Alignment as Variational Expectation-Maximization. CoRR Jaewoo Lee, Minsu Kim, Sanghyeok Choi, Inhyuck Song, Sujin Yun, Hyeongyu Kang, Woocheol Shin, Taeyoung Yun, Kiyoung Om, Jinkyoo Park
2025	J	`jnl`	Diffusion Fine-Tuning via Reparameterized Policy Gradient of the Soft Q-Function. CoRR Hyeongyu Kang, Jaewoo Lee, Woocheol Shin, Kiyoung Om, Jinkyoo Park
2025	A*	`conf`	Generative Flows on Synthetic Pathway for Drug Design. ICLR Seonghwan Seo, Minsu Kim, Tony Shen, Martin Ester, Jinkyoo Park, Sungsoo Ahn, Woo Youn Kim
2025	J	`jnl`	Genetic Algorithms with Neural Cost Predictor for Solving Hierarchical Vehicle Routing Problems. Transp. Sci. Abhay Sobhanan, Junyoung Park, Jinkyoo Park, Changhyun Kwon
2025	A	`conf`	Human Implicit Preference-Based Policy Fine-tuning for Multi-Agent Reinforcement Learning in USV Swarm. IROS HyeonJun Kim, Kanghoon Lee, Junho Park, Jiachen Li, Jinkyoo Park
2025	J	`jnl`	Human Implicit Preference-Based Policy Fine-tuning for Multi-Agent Reinforcement Learning in USV Swarm. CoRR HyeonJun Kim, Kanghoon Lee, Junho Park, Jiachen Li, Jinkyoo Park
2025	A*	`conf`	Improved Off-policy Reinforcement Learning in Biological Sequence Design. ICML Hyeonah Kim, Minsu Kim, Taeyoung Yun, Sanghyeok Choi, Emmanuel Bengio, Alex Hernández-García, Jinkyoo Park
2025	J	`jnl`	Incentive Design of Shared ESS Energy Trading Game. IEEE Trans. Control. Syst. Technol. Jaeyeon Jo, Jihwan Yu, Jinkyoo Park
2025	A*	`conf`	Learning Strategy Representation for Imitation Learning in Multi-Agent Games. AAAI Shiqi Lei, Kanghoon Lee, Linjing Li, Jinkyoo Park
2025	A*	`conf`	Learning to Sample Effective and Diverse Prompts for Text-to-Image Generation. CVPR Taeyoung Yun, Dinghuai Zhang, Jinkyoo Park, Ling Pan
2025	J	`jnl`	Learning to Sample Effective and Diverse Prompts for Text-to-Image Generation. CoRR Taeyoung Yun, Dinghuai Zhang, Jinkyoo Park, Ling Pan
2025	A*	`conf`	MOFFlow: Flow Matching for Structure Prediction of Metal-Organic Frameworks. ICLR Nayoung Kim, Seongsu Kim, Minsu Kim, Jinkyoo Park, Sungsoo Ahn
2025	J	`jnl`	Neural Combinatorial Optimization for Real-World Routing. CoRR Jiwoo Son, Zhikai Zhao, Federico Berto, Chuanbo Hua, Changhyun Kwon, Jinkyoo Park
2025	A*	`conf`	Neural Genetic Search in Discrete Spaces. ICML Hyeonah Kim, Sanghyeok Choi, Jiwoo Son, Jinkyoo Park, Changhyun Kwon
2025	J	`jnl`	Neural Genetic Search in Discrete Spaces. CoRR Hyeonah Kim, Sanghyeok Choi, Jiwoo Son, Jinkyoo Park, Changhyun Kwon
2025	J	`jnl`	Posterior Inference in Latent Space for Scalable Constrained Black-box Optimization. CoRR Kiyoung Om, Kyuil Sim, Taeyoung Yun, Hyeongyu Kang, Jinkyoo Park
2025	A*	`conf`	Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization. ICML Taeyoung Yun, Kiyoung Om, Jaewoo Lee, Sujin Yun, Jinkyoo Park
2025	J	`jnl`	Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization. CoRR Taeyoung Yun, Kiyoung Om, Jaewoo Lee, Sujin Yun, Jinkyoo Park
2025	—	`conf`	RL4CO: An Extensive Reinforcement Learning for Combinatorial Optimization Benchmark. KDD (2) Federico Berto, Chuanbo Hua, Junyoung Park, Laurin Luttmann, Yining Ma, Fanchen Bu, Jiarui Wang, Haoran Ye, Minsu Kim, Sanghyeok Choi, Nayeli Gast Zepeda, André Hottung, Jianan Zhou, Jieyi Bi, Yu Hu, Fei Liu, Hyeonah Kim, Jiwoo Son, Haeyeon Kim, Davide Angioni, Wouter Kool, Zhiguang Cao, Qingfu Zhang, Joungho Kim, Jie Zhang, Kijung Shin, Cathy Wu, Sungsoo Ahn, Guojie Song, Changhyun Kwon, Kevin Tierney, Lin Xie, Jinkyoo Park
2025	J	`jnl`	Reinforced sequential Monte Carlo for amortised sampling. CoRR Sanghyeok Choi, Sarthak Mittal, Víctor Elvira, Jinkyoo Park, Nikolay Malkin
2025	J	`jnl`	RouteFinder: Towards Foundation Models for Vehicle Routing Problems. Trans. Mach. Learn. Res. Federico Berto, Chuanbo Hua, Nayeli Gast Zepeda, André Hottung, Niels A. Wouda, Leon Lan, Junyoung Park, Kevin Tierney, Jinkyoo Park
2025	J	`jnl`	The Iterative Chainlet Partitioning Algorithm for the Traveling Salesman Problem with Drone and Neural Acceleration. CoRR Jae Hyeok Lee, Minjun Kim, Jinkyoo Park, Changhyun Kwon
2025	J	`jnl`	TrajEvo: Designing Trajectory Prediction Heuristics via LLM-driven Evolution. CoRR Zhikai Zhao, Chuanbo Hua, Federico Berto, Kanghoon Lee, Zihan Ma, Jiachen Li, Jinkyoo Park
2025	J	`jnl`	TrajEvo: Trajectory Prediction Heuristics Design via LLM-driven Evolution. CoRR Zhikai Zhao, Chuanbo Hua, Federico Berto, Kanghoon Lee, Zihan Ma, Jiachen Li, Jinkyoo Park
2025	J	`jnl`	USPR: Learning a Unified Solver for Profiled Routing. CoRR Chuanbo Hua, Federico Berto, Zhikai Zhao, Jiwoo Son, Changhyun Kwon, Jinkyoo Park
2025	J	`jnl`	VRPAgent: LLM-Driven Discovery of Heuristic Operators for Vehicle Routing Problems. CoRR André Hottung, Federico Berto, Chuanbo Hua, Nayeli Gast Zepeda, Daniel Wetzel, Michael Römer, Haoran Ye, Davide Zago, Michael Poli, Stefano Massaroli, Jinkyoo Park, Kevin Tierney
2025	—	`conf`	Wind Farm Layout Optimization with Diffusion Models. KDD (2) Yujin Shin, Taeyoung Yun, Sujin Yun, Sungpil Woo, Sunhwan Lim, Jinkyoo Park
2024	J	`jnl`	A Neural Separation Algorithm for the Rounded Capacity Inequalities. INFORMS J. Comput. Hyeonah Kim, Jinkyoo Park, Changhyun Kwon
2024	J	`jnl`	Adaptive teachers for amortized samplers. CoRR Minsu Kim, Sanghyeok Choi, Taeyoung Yun, Emmanuel Bengio, Leo Feng, Jarrid Rector-Brooks, Sungsoo Ahn, Jinkyoo Park, Nikolay Malkin, Yoshua Bengio
2024	A*	`conf`	An Offline Meta Black-box Optimization Framework for Adaptive Design of Urban Traffic Light Management Systems. KDD Taeyoung Yun, Kanghoon Lee, Sujin Yun, Ilmyung Kim, Won-Woo Jung, Min-Cheol Kwon, Kyujin Choi, Yoohyeon Lee, Jinkyoo Park
2024	J	`jnl`	An Offline Meta Black-box Optimization Framework for Adaptive Design of Urban Traffic Light Management Systems. CoRR Taeyoung Yun, Kanghoon Lee, Sujin Yun, Ilmyung Kim, Won-Woo Jung, Min-Cheol Kwon, Kyujin Choi, Yoohyeon Lee, Jinkyoo Park
2024	J	`jnl`	Anfinsen Goes Neural: a Graphical Model for Conditional Antibody Design. CoRR Nayoung Kim, Minsu Kim, Jinkyoo Park
2024	J	`jnl`	Ant Colony Sampling with GFlowNets for Combinatorial Optimization. CoRR Minsu Kim, Sanghyeok Choi, Jiwoo Son, Hyeonah Kim, Jinkyoo Park, Yoshua Bengio
2024	J	`jnl`	Distributed Online Planning for Min-Max Problems in Networked Markov Games. CoRR Alexandros E. Tzikas, Jinkyoo Park, Mykel J. Kochenderfer, Ross E. Allen
2024	J	`jnl`	Distributed Online Planning for Min-Max Problems in Networked Markov Games. IEEE Robotics Autom. Lett. Alexandros E. Tzikas, Jinkyoo Park, Mykel J. Kochenderfer, Ross E. Allen
2024	A	`conf`	ELA: Exploited Level Augmentation for Offline Learning in Zero-Sum Games. AAMAS Shiqi Lei, Kanghoon Lee, Linjing Li, Jinkyoo Park, Jiachen Li
2024	J	`jnl`	ELA: Exploited Level Augmentation for Offline Learning in Zero-Sum Games. CoRR Shiqi Lei, Kanghoon Lee, Linjing Li, Jinkyoo Park, Jiachen Li
2024	A	`conf`	Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding. IROS Huijie Tang, Federico Berto, Jinkyoo Park
2024	J	`jnl`	Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding. CoRR Huijie Tang, Federico Berto, Jinkyoo Park
2024	A*	`conf`	Equity-Transformer: Solving NP-Hard Min-Max Routing Problems as Sequential Generation with Equity Context. AAAI Jiwoo Son, Minsu Kim, Sanghyeok Choi, Hyeonah Kim, Jinkyoo Park
2024	A*	`conf`	GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning. NeurIPS Jaewoo Lee, Sujin Yun, Taeyoung Yun, Jinkyoo Park
2024	J	`jnl`	GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning. CoRR Jaewoo Lee, Sujin Yun, Taeyoung Yun, Jinkyoo Park
2024	J	`jnl`	Generative Flows on Synthetic Pathway for Drug Design. CoRR Seonghwan Seo, Minsu Kim, Tony Shen, Martin Ester, Jinkyoo Park, Sungsoo Ahn, Woo Youn Kim
2024	A*	`conf`	Genetic-guided GFlowNets for Sample Efficient Molecular Optimization. NeurIPS Hyeonah Kim, Minsu Kim, Sanghyeok Choi, Jinkyoo Park
2024	J	`jnl`	Genetic-guided GFlowNets: Advancing in Practical Molecular Optimization Benchmark. CoRR Hyeonah Kim, Minsu Kim, Sanghyeok Choi, Jinkyoo Park
2024	A*	`conf`	Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization. NeurIPS Taeyoung Yun, Sujin Yun, Jaewoo Lee, Jinkyoo Park
2024	J	`jnl`	Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization. CoRR Taeyoung Yun, Sujin Yun, Jaewoo Lee, Jinkyoo Park
2024	A	`conf`	HiMAP: Learning Heuristics-Informed Policies for Large-Scale Multi-Agent Pathfinding. AAMAS Huijie Tang, Federico Berto, Zihan Ma, Chuanbo Hua, Kyuree Ahn, Jinkyoo Park
2024	J	`jnl`	HiMAP: Learning Heuristics-Informed Policies for Large-Scale Multi-Agent Pathfinding. CoRR Huijie Tang, Federico Berto, Zihan Ma, Chuanbo Hua, Kyuree Ahn, Jinkyoo Park
2024	J	`jnl`	Improved Off-policy Reinforcement Learning in Biological Sequence Design. CoRR Hyeonah Kim, Minsu Kim, Taeyoung Yun, Sanghyeok Choi, Emmanuel Bengio, Alex Hernández-García, Jinkyoo Park
2024	J	`jnl`	Interactive Autonomous Navigation With Internal State Inference and Interactivity Estimation. IEEE Trans. Robotics Jiachen Li, David Isele, Kanghoon Lee, Jinkyoo Park, Kikuo Fujimura, Mykel J. Kochenderfer
2024	J	`jnl`	Learning Strategy Representation for Imitation Learning in Multi-Agent Games. CoRR Shiqi Lei, Kanghon Lee, Linjing Li, Jinkyoo Park
2024	A*	`conf`	Learning to Scale Logits for Temperature-Conditional GFlowNets. ICML Minsu Kim, Joohwan Ko, Taeyoung Yun, Dinghuai Zhang, Ling Pan, Woochang Kim, Jinkyoo Park, Emmanuel Bengio, Yoshua Bengio
2024	A*	`conf`	Local Search GFlowNets. ICLR Minsu Kim, Taeyoung Yun, Emmanuel Bengio, Dinghuai Zhang, Yoshua Bengio, Sungsoo Ahn, Jinkyoo Park
2024	J	`jnl`	MOFFlow: Flow Matching for Structure Prediction of Metal-Organic Frameworks. CoRR Nayoung Kim, Seongsu Kim, Minsu Kim, Jinkyoo Park, Sungsoo Ahn
2024	J	`jnl`	Multi-Agent Dynamic Relational Reasoning for Social Robot Navigation. CoRR Jiachen Li, Chuanbo Hua, Hengbo Ma, Jinkyoo Park, Victoria Magdalena Dax, Mykel J. Kochenderfer
2024	A	`conf`	NLNS-MASPF for solving Multi-Agent scheduling and Path-Finding. IROS Heemang Park, Kyuree Ahn, Jinkyoo Park
2024	J	`jnl`	PARCO: Learning Parallel Autoregressive Policies for Efficient Multi-Agent Combinatorial Optimization. CoRR Federico Berto, Chuanbo Hua, Laurin Luttmann, Jiwoo Son, Junyoung Park, Kyuree Ahn, Changhyun Kwon, Lin Xie, Jinkyoo Park
2024	A*	`conf`	Pessimistic Backward Policy for GFlowNets. NeurIPS Hyosoon Jang, Yunhui Jang, Minsu Kim, Jinkyoo Park, Sungsoo Ahn
2024	J	`jnl`	Pessimistic Backward Policy for GFlowNets. CoRR Hyosoon Jang, Yunhui Jang, Minsu Kim, Jinkyoo Park, Sungsoo Ahn
2024	A*	`conf`	ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution. NeurIPS Haoran Ye, Jiarui Wang, Zhiguang Cao, Federico Berto, Chuanbo Hua, Haeyeon Kim, Jinkyoo Park, Guojie Song
2024	J	`jnl`	RouteFinder: Towards Foundation Models for Vehicle Routing Problems. CoRR Federico Berto, Chuanbo Hua, Nayeli Gast Zepeda, André Hottung, Niels A. Wouda, Leon Lan, Kevin Tierney, Jinkyoo Park
2024	J	`jnl`	Special issue on advances in computational optimization and their modern applications. Optim. Lett. Hadi Charkhgard, Jinkyoo Park, Changhyun Kwon
2024	A*	`conf`	Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization. ICML Hyeonah Kim, Minsu Kim, Sungsoo Ahn, Jinkyoo Park
2023	J	`jnl`	A Neural Separation Algorithm for the Rounded Capacity Inequalities. CoRR Hyeonah Kim, Jinkyoo Park, Changhyun Kwon
2023	A	`conf`	Bayesian Convolutional Deep Sets with Task-Dependent Stationary Prior. AISTATS Yohan Jung, Jinkyoo Park
2023	A*	`conf`	Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences. NeurIPS Minsu Kim, Federico Berto, Sungsoo Ahn, Jinkyoo Park
2023	J	`jnl`	Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences. CoRR Minsu Kim, Federico Berto, Sungsoo Ahn, Jinkyoo Park
2023	J	`jnl`	Computing Algorithm for an Equilibrium of the Generalized Stackelberg Game. CoRR Jaeyeon Jo, Jihwan Yu, Jinkyoo Park
2023	A*	`conf`	DevFormer: A Symmetric Transformer for Context-Aware Device Placement. ICML Haeyeon Kim, Minsu Kim, Federico Berto, Joungho Kim, Jinkyoo Park
2023	J	`jnl`	Generating Dispatching Rules for the Interrupting Swap-Allowed Blocking Job Shop Problem Using Graph Neural Network and Reinforcement Learning. CoRR Vivian Wen Hui Wong, Sang Hun Kim, Junyoung Park, Jinkyoo Park, Kincho H. Law
2023	J	`jnl`	Genetic Algorithms with Neural Cost Predictor for Solving Hierarchical Vehicle Routing Problems. CoRR Abhay Sobhanan, Junyoung Park, Jinkyoo Park, Changhyun Kwon
2023	J	`jnl`	Interactive Autonomous Navigation with Internal State Inference and Interactivity Estimation. CoRR Jiachen Li, David Isele, Kanghoon Lee, Jinkyoo Park, Kikuo Fujimura, Mykel J. Kochenderfer
2023	A	`conf`	Learn to Solve the Min-max Multiple Traveling Salesmen Problem with Reinforcement Learning. AAMAS Junyoung Park, Changhyun Kwon, Jinkyoo Park
2023	A*	`conf`	Learning Efficient Surrogate Dynamic Models with Graph Spline Networks. NeurIPS Chuanbo Hua, Federico Berto, Michael Poli, Stefano Massaroli, Jinkyoo Park
2023	J	`jnl`	Learning Efficient Surrogate Dynamic Models with Graph Spline Networks. CoRR Chuanbo Hua, Federico Berto, Michael Poli, Stefano Massaroli, Jinkyoo Park
2023	A*	`conf`	Learning Multivariate Hawkes Process via Graph Recurrent Neural Network. KDD Kanghoon Yoon, Youngjun Im, Jingyu Choi, Taehwan Jeong, Jinkyoo Park
2023	A*	`conf`	Learning to CROSS exchange to solve min-max vehicle routing problems. ICLR Minjun Kim, Junyoung Park, Jinkyoo Park
2023	J	`jnl`	Learning to Scale Logits for Temperature-Conditional GFlowNets. CoRR Minsu Kim, Joohwan Ko, Dinghuai Zhang, Ling Pan, Taeyoung Yun, Woochang Kim, Jinkyoo Park, Yoshua Bengio
2023	A	`conf`	Learning to Schedule in Multi-Agent Pathfinding. IROS Kyuree Ahn, Heemang Park, Jinkyoo Park
2023	J	`jnl`	Local Search GFlowNets. CoRR Minsu Kim, Taeyoung Yun, Emmanuel Bengio, Dinghuai Zhang, Yoshua Bengio, Sungsoo Ahn, Jinkyoo Park
2023	A*	`conf`	Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization. ICML Jiwoo Son, Minsu Kim, Hyeonah Kim, Jinkyoo Park
2023	J	`jnl`	Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization. CoRR Jiwoo Son, Minsu Kim, Hyeonah Kim, Jinkyoo Park
2023	J	`jnl`	Optimization of injection molding process using multi-objective bayesian optimization and constrained generative inverse design networks. J. Intell. Manuf. Jiyoung Jung, Kundo Park, Byungjin Cho, Jinkyoo Park, Seunghwa Ryu
2023	J	`jnl`	RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark. CoRR Federico Berto, Chuanbo Hua, Junyoung Park, Minsu Kim, Hyeonah Kim, Jiwoo Son, Haeyeon Kim, Joungho Kim, Jinkyoo Park
2023	—	`conf`	Robust Driving Policy Learning with Guided Meta Reinforcement Learning. ITSC Kanghoon Lee, Jiachen Li, David Isele, Jinkyoo Park, Kikuo Fujimura, Mykel J. Kochenderfer
2023	J	`jnl`	Robust Driving Policy Learning with Guided Meta Reinforcement Learning. CoRR Kanghoon Lee, Jiachen Li, David Isele, Jinkyoo Park, Kikuo Fujimura, Mykel J. Kochenderfer
2023	J	`jnl`	Solving NP-hard Min-max Routing Problems as Sequential Generation with Equity Context. CoRR Jiwoo Son, Minsu Kim, Sanghyeok Choi, Jinkyoo Park
2023	J	`jnl`	Symmetric Exploration in Combinatorial Optimization is Free! CoRR Hyeonah Kim, Minsu Kim, Sungsoo Ahn, Jinkyoo Park
2022	J	`jnl`	Bayesian Convolutional Deep Sets with Task-Dependent Stationary Prior. CoRR Yohan Jung, Jinkyoo Park
2022	J	`jnl`	Collaborative Distillation Meta Learning for Simulation Intensive Hardware Design. CoRR Haeyeon Kim, Minsu Kim, Joungho Kim, Jinkyoo Park
2022	A*	`conf`	Convergent Graph Solvers. ICLR Junyoung Park, Jinhyun Choo, Jinkyoo Park
2022	A*	`conf`	Efficient Approximate Inference for Stationary Kernel on Frequency Domain. ICML Yohan Jung, Kyungwoo Song, Jinkyoo Park
2022	J	`jnl`	EvolveHypergraph: Group-Aware Dynamic Relational Reasoning for Trajectory Prediction. CoRR Jiachen Li, Chuanbo Hua, Jinkyoo Park, Hengbo Ma, Victoria Magdalena Dax, Mykel J. Kochenderfer
2022	A*	`conf`	Learning NP-Hard Multi-Agent Assignment Planning using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-learning. NeurIPS Hyunwook Kang, Taehwan Kwon, Jinkyoo Park, James R. Morrison
2022	J	`jnl`	Learning Stochastic Optimal Policies via Gradient Descent. IEEE Control. Syst. Lett. Stefano Massaroli, Michael Poli, Stefano Peluchetti, Jinkyoo Park, Atsushi Yamashita, Hajime Asama
2022	J	`jnl`	Learning context-aware adaptive solvers to accelerate quadratic programming. CoRR Haewon Jung, Junyoung Park, Jinkyoo Park
2022	J	`jnl`	Meta-SysId: A Meta-Learning Approach for Simultaneous Identification and Prediction. CoRR Junyoung Park, Federico Berto, Arec L. Jamgochian, Mykel J. Kochenderfer, Jinkyoo Park
2022	A*	`conf`	Neural Solvers for Fast and Accurate Numerical Optimal Control. ICLR Federico Berto, Stefano Massaroli, Michael Poli, Jinkyoo Park
2022	J	`jnl`	Neural Solvers for Fast and Accurate Numerical Optimal Control. CoRR Federico Berto, Stefano Massaroli, Michael Poli, Jinkyoo Park
2022	J	`jnl`	Neuro CROSS exchange: Learning to CROSS exchange to solve realistic vehicle routing problems. CoRR Minjun Kim, Junyoung Park, Jinkyoo Park
2022	J	`jnl`	Optimal Energy Shaping via Neural Approximators. SIAM J. Appl. Dyn. Syst. Stefano Massaroli, Michael Poli, Federico Califano, Jinkyoo Park, Atsushi Yamashita, Hajime Asama
2022	A	`conf`	REMAX: Relational Representation for Multi-Agent Exploration. AAMAS Heechang Ryu, Hayong Shin, Jinkyoo Park
2022	J	`jnl`	Scalable Inference for Hybrid Bayesian Hidden Markov Model Using Gaussian Process Emission. J. Comput. Graph. Stat. Yohan Jung, Jinkyoo Park
2022	A*	`conf`	Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization. NeurIPS Minsu Kim, Junyoung Park, Jinkyoo Park
2022	J	`jnl`	Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization. CoRR Minsu Kim, Junyoung Park, Jinkyoo Park
2022	A*	`conf`	Transform Once: Efficient Operator Learning in Frequency Domain. NeurIPS Michael Poli, Stefano Massaroli, Federico Berto, Jinkyoo Park, Tri Dao, Christopher Ré, Stefano Ermon
2022	J	`jnl`	Transform Once: Efficient Operator Learning in Frequency Domain. CoRR Michael Poli, Stefano Massaroli, Federico Berto, Jinkyoo Park, Tri Dao, Christopher Ré, Stefano Ermon
2021	J	`jnl`	A Hypergraph Convolutional Neural Network for Molecular Properties Prediction using Functional Group. CoRR Fangying Chen, Junyoung Park, Jinkyoo Park
2021	J	`jnl`	Continuous-Depth Neural Models for Dynamic Graph Prediction. CoRR Michael Poli, Stefano Massaroli, Clayton M. Rabideau, Junyoung Park, Atsushi Yamashita, Hajime Asama, Jinkyoo Park
2021	J	`jnl`	Convergent Graph Solvers. CoRR Junyoung Park, Jinhyun Choo, Jinkyoo Park
2021	A	`conf`	Cooperative and Competitive Biases for Multi-Agent Reinforcement Learning. AAMAS Heechang Ryu, Hayong Shin, Jinkyoo Park
2021	J	`jnl`	Cooperative and Competitive Biases for Multi-Agent Reinforcement Learning. CoRR Heechang Ryu, Hayong Shin, Jinkyoo Park
2021	J	`jnl`	Cooperative zone-based rebalancing of idle overhead hoist transportations using multi-agent reinforcement learning with graph representation learning. IISE Trans. Kyuree Ahn, Jinkyoo Park
2021	A*	`conf`	Differentiable Multiple Shooting Layers. NeurIPS Stefano Massaroli, Michael Poli, Sho Sonoda, Taiji Suzuki, Jinkyoo Park, Atsushi Yamashita, Hajime Asama
2021	J	`jnl`	Differentiable Multiple Shooting Layers. CoRR Stefano Massaroli, Michael Poli, Sho Sonoda, Taiji Suzuki, Jinkyoo Park, Atsushi Yamashita, Hajime Asama
2021	A*	`conf`	Learning Collaborative Policies to Solve NP-hard Routing Problems. NeurIPS Minsu Kim, Jinkyoo Park, Joungho Kim
2021	J	`jnl`	Learning Collaborative Policies to Solve NP-hard Routing Problems. CoRR Minsu Kim, Jinkyoo Park, Joungho Kim
2021	J	`jnl`	Learning Stochastic Optimal Policies via Gradient Descent. CoRR Stefano Massaroli, Michael Poli, Stefano Peluchetti, Jinkyoo Park, Atsushi Yamashita, Hajime Asama
2021	J	`jnl`	Learning to schedule job-shop problems: Representation and policy learning using graph neural network and reinforcement learning. CoRR Junyoung Park, Jaehyeong Chun, Sang-Hun Kim, Youngkook Kim, Jinkyoo Park
2021	J	`jnl`	Learning to schedule job-shop problems: representation and policy learning using graph neural network and reinforcement learning. Int. J. Prod. Res. Junyoung Park, Jaehyeong Chun, Sang Hun Kim, Youngkook Kim, Jinkyoo Park
2021	A*	`conf`	Neural Hybrid Automata: Learning Dynamics With Multiple Modes and Stochastic Transitions. NeurIPS Michael Poli, Stefano Massaroli, Luca Scimeca, Sanghyuk Chun, Seong Joon Oh, Atsushi Yamashita, Hajime Asama, Jinkyoo Park, Animesh Garg
2021	J	`jnl`	Neural Hybrid Automata: Learning Dynamics with Multiple Modes and Stochastic Transitions. CoRR Michael Poli, Stefano Massaroli, Luca Scimeca, Seong Joon Oh, Sanghyuk Chun, Atsushi Yamashita, Hajime Asama, Jinkyoo Park, Animesh Garg
2021	J	`jnl`	Optimal Energy Shaping via Neural Approximators. CoRR Stefano Massaroli, Michael Poli, Federico Califano, Jinkyoo Park, Atsushi Yamashita, Hajime Asama
2021	J	`jnl`	ScheduleNet: Learn to solve multi-agent scheduling problems with reinforcement learning. CoRR Junyoung Park, Sanjar Bakhtiyar, Jinkyoo Park
2021	A*	`conf`	Semi-supervised Bearing Fault Diagnosis with Adversarially-Trained Phase-Consistent Network. KDD Jaehyuk Yi, Jinkyoo Park
2020	J	`jnl`	Approximate Inference for Spectral Mixture Kernel. CoRR Yohan Jung, Kyungwoo Song, Jinkyoo Park
2020	J	`jnl`	Count-based change point detection via multi-output log-Gaussian Cox processes. IISE Trans. Joonho Bae, Jinkyoo Park
2020	J	`jnl`	Demand-Side Management With Shared Energy Storage System in Smart Grid. IEEE Trans. Smart Grid Jaeyeon Jo, Jinkyoo Park
2020	A*	`conf`	Dissecting Neural ODEs. NeurIPS Stefano Massaroli, Michael Poli, Jinkyoo Park, Atsushi Yamashita, Hajime Asama
2020	J	`jnl`	Dissecting Neural ODEs. CoRR Stefano Massaroli, Michael Poli, Jinkyoo Park, Atsushi Yamashita, Hajime Asama
2020	J	`jnl`	Hierarchical Anomaly Detection Using a Multioutput Gaussian Process. IEEE Trans Autom. Sci. Eng. Woojin Cho, Youngrae Kim, Jinkyoo Park
2020	A*	`conf`	Hypergraph Convolutional Recurrent Neural Network. KDD Jaehyuk Yi, Jinkyoo Park
2020	A*	`conf`	Hypersolvers: Toward Fast Continuous-Depth Models. NeurIPS Michael Poli, Stefano Massaroli, Atsushi Yamashita, Hajime Asama, Jinkyoo Park
2020	J	`jnl`	Hypersolvers: Toward Fast Continuous-Depth Models. CoRR Michael Poli, Stefano Massaroli, Atsushi Yamashita, Hajime Asama, Jinkyoo Park
2020	A*	`conf`	Multi-Agent Actor-Critic with Hierarchical Graph Attention Network. AAAI Heechang Ryu, Hayong Shin, Jinkyoo Park
2020	J	`jnl`	REMAX: Relational Representation for Multi-Agent Exploration. CoRR Heechang Ryu, Hayong Shin, Jinkyoo Park
2020	J	`jnl`	Scalable Hybrid HMM with Gaussian Process Emission for Sequential Time-series Data Clustering. CoRR Yohan Jung, Jinkyoo Park
2020	J	`jnl`	Stable Neural Flows. CoRR Stefano Massaroli, Michael Poli, Michelangelo Bin, Jinkyoo Park, Atsushi Yamashita, Hajime Asama
2020	J	`jnl`	TorchDyn: A Neural Differential Equations Library. CoRR Michael Poli, Stefano Massaroli, Atsushi Yamashita, Hajime Asama, Jinkyoo Park
2019	J	`jnl`	Graph Neural Ordinary Differential Equations. CoRR Michael Poli, Stefano Massaroli, Junyoung Park, Atsushi Yamashita, Hajime Asama, Jinkyoo Park
2019	—	`conf`	Idle Vehicle Rebalancing in Semiconductor Fabrication Using Factorized Graph Neural Network Reinforcement Learning. CDC Kyuree Ahn, Jinkyoo Park
2019	J	`jnl`	Multi-Agent Actor-Critic with Hierarchical Graph Attention Network. CoRR Heechang Ryu, Hayong Shin, Jinkyoo Park
2019	—	`conf`	Port-Hamiltonian Approach to Neural Network Training. CDC Stefano Massaroli, Michael Poli, Federico Califano, Angela Faragasso, Jinkyoo Park, Atsushi Yamashita, Hajime Asama
2019	J	`jnl`	Port-Hamiltonian Approach to Neural Network Training. CoRR Stefano Massaroli, Michael Poli, Federico Califano, Angela Faragasso, Jinkyoo Park, Atsushi Yamashita, Hajime Asama
2019	J	`jnl`	Scalable and transferable learning of algorithms via graph embedding for multi-robot reward collection. CoRR Hyunwook Kang, Aydar Mynbay, James R. Morrison, Jinkyoo Park
2019	J	`jnl`	WATTNet: Learning to Trade FX via Hierarchical Spatio-Temporal Representation of Highly Multivariate Time Series. CoRR Michael Poli, Jinkyoo Park, Ilija Ilievski
2018	—	`conf`	Data Driven Analytics (Machine Learning) for System Characterization, Diagnostics and Control Optimization. EG-ICE Jinkyoo Park, Max Ferguson, Kincho H. Law
2018	B	`conf`	Deep Reinforcement Learning with Fully Convolutional Neural Network to Solve an Earthwork Scheduling Problem. SMC Seongcheol Woo, Juneyeong Yeon, Mingi Ji, Il-Chul Moon, Jinkyoo Park
2018	J	`jnl`	Multi-Agent Actor-Critic with Generative Cooperative Policy Network. CoRR Heechang Ryu, Hayong Shin, Jinkyoo Park
2016	C	`conf`	A data-driven approach for cooperative wind farm control. ACC Jinkyoo Park, Soon-Duck Kwon, Kincho H. Law
2016	J	`jnl`	Bayesian Ascent: A Data-Driven Optimization Scheme for Real-Time Control With Application to Wind Farm Power Maximization. IEEE Trans. Control. Syst. Technol. Jinkyoo Park, Kincho H. Law
2016	—	`conf`	Classification of Heart Sound Recordings Using Convolution Neural Network. CinC Heechang Ryu, Jinkyoo Park, Hayong Shin
2016	—	`conf`	Evaluation of a PMML-based GPR scoring engine on a cloud platform and microcomputer board for smart manufacturing. IEEE BigData Max Ferguson, Kincho H. Law, Raunak Bhinge, David Dornfeld, Jinkyoo Park, Yung-Tsun Tina Lee
2015	J	`jnl`	Analyzing the Temporal Variation of Wind Turbine Responses Using Gaussian Mixture Model and Gaussian Discriminant Analysis. J. Comput. Civ. Eng. Jinkyoo Park, Kay Smarsly, Kincho H. Law, Dietrich Hartmann
2015	J	`jnl`	Erratum for "Analyzing the Temporal Variation of Wind Turbine Responses Using Gaussian Mixture Model and Gaussian Discriminant Analysis" by J. Park, K. Smarsly, K. H. Law, and D. Hartmann. J. Comput. Civ. Eng. Jinkyoo Park, Kay Smarsly, Kincho H. Law, Dietrich Hartmann
2015	—	`conf`	Real-time energy prediction for a milling machine tool using sparse Gaussian process regression. IEEE BigData Jinkyoo Park, Kincho H. Law, Raunak Bhinge, Mason Chen, David Dornfeld, Sudarsan Rachuri
2014	—	`conf`	An intelligent machine monitoring system for energy prediction using a Gaussian Process regression. IEEE BigData Raunak Bhinge, Nishant Biswas, David Dornfeld, Jinkyoo Park, Kincho H. Law, Moneer Helu, Sudarsan Rachuri