Theo dõi
Chuanbo Hua
Chuanbo Hua
KAIST
Email được xác minh tại kaist.ac.kr - Trang chủ
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
Large Language Models as Hyper-Heuristics for Combinatorial Optimization
GS Haoran Ye, Jiarui Wang, Zhiguang Cao, Federico Berto, Chuanbo Hua ...
NeurIPS 2024, 2024
47*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
36*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
292023
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
132023
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
82024
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
72022
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
52024
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
52024
Efficient Continuous Spatio-Temporal Simulation with Graph Spline Networks
C Hua, F Berto, M Poli, S Massaroli, J Park
ICML 2022 Workshop Oral, 2022
32022
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
22024
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
12024
Learning Efficient Surrogate Dynamic Models with Graph Spline Networks
C Hua, F Berto, M Poli, S Massaroli, J Park
NeurIPS 2023, 2023
12023
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
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