| Large Language Models as Hyper-Heuristics for Combinatorial Optimization GS Haoran Ye, Jiarui Wang, Zhiguang Cao, Federico Berto, Chuanbo Hua ... NeurIPS 2024, 2024 | 50* | 2024 |
| RL4CO: a Unified Reinforcement Learning for Combinatorial Optimization Library F Berto, C Hua, J Park, M Kim, H Kim, J Son, H Kim, J Kim, J Park NeurIPS 2023 Workshop Oral, 2023 | 37* | 2023 |
| Coagulant dosage determination using deep learning-based graph attention multivariate time series forecasting model S Lin, J Kim, C Hua, MH Park, S Kang Water Research 232, 119665, 2023 | 29 | 2023 |
| Routefinder: Towards foundation models for vehicle routing problems F Berto, C Hua, NG Zepeda, A Hottung, N Wouda, L Lan, K Tierney, ... ICML 2024 Workshop Oral, 2024 | 13* | 2024 |
| Comparing artificial and deep neural network models for prediction of coagulant amount and settled water turbidity: lessons learned from big data in water treatment operations S Lin, J Kim, C Hua, S Kang, MH Park Journal of Water Process Engineering 54, 103949, 2023 | 13 | 2023 |
| Multi-agent dynamic relational reasoning for social robot navigation J Li, C Hua, H Ma, J Park, V Dax, MJ Kochenderfer arXiv preprint arXiv:2401.12275, 2024 | 8 | 2024 |
| Evolvehypergraph: Group-aware dynamic relational reasoning for trajectory prediction J Li, C Hua, J Park, H Ma, V Dax, MJ Kochenderfer arXiv preprint arXiv:2208.05470, 2022 | 8 | 2022 |
| HiMAP: Learning Heuristics-Informed Policies for Large-Scale Multi-Agent Pathfinding H Tang, F Berto, Z Ma, C Hua, K Ahn, J Park AAMAS 2024, 2024 | 5 | 2024 |
| Optimizing coagulant dosage using deep learning models with large-scale data J Kim, C Hua, K Kim, S Lin, G Oh, MH Park, S Kang Chemosphere 350, 140989, 2024 | 5 | 2024 |
| Efficient Continuous Spatio-Temporal Simulation with Graph Spline Networks C Hua, F Berto, M Poli, S Massaroli, J Park ICML 2022 Workshop Oral, 2022 | 3 | 2022 |
| PARCO: Learning parallel autoregressive policies for efficient multi-agent combinatorial optimization F Berto, C Hua, L Luttmann, J Son, J Park, K Ahn, C Kwon, L Xie, J Park arXiv preprint arXiv:2409.03811, 2024 | 2 | 2024 |
| Learning Efficient Surrogate Dynamic Models with Graph Spline Networks C Hua, F Berto, M Poli, S Massaroli, J Park NeurIPS 2023, 2023 | 2 | 2023 |
| Deep learning-based coagulant dosage prediction for extreme events leveraging large-scale data J Kim, C Hua, S Lin, S Kang, JH Kang, MH Park Journal of Water Process Engineering 66, 105934, 2024 | 1 | 2024 |
| CAMP: Collaborative Attention Model with Profiles for Vehicle Routing Problems C Hua, F Berto, J Son, S Kang, C Kwon, J Park AAMAS 2025, 2025 | | 2025 |
| AoP-SAM: Automation of Prompts for Efficient Segmentation Y Chen, M Son, C Hua, JY Kim AAAI 2025, 2024 | | 2024 |
Jinkyoo ParkDepartment of Industrial and Systems Engineering, KAISTכתובת אימייל מאומתת בדומיין kaist.ac.kr