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Chang Liu (刘畅)
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Year
Cityflow: A multi-agent reinforcement learning environment for large scale city traffic scenario
H Zhang, S Feng, C Liu, Y Ding, Y Zhu, Z Zhou, W Zhang, Y Yu, H Jin, Z Li
The world wide web conference, 3620-3624, 2019
2492019
GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement Learning
C Liu, H Zhang, W Zhang, G Zheng, Y Yu
Proceedings of the 29th ACM International Conference on Information …, 2020
462020
A survey for solving mixed integer programming via machine learning
J Zhang, C Liu, X Li, HL Zhen, M Yuan, Y Li, J Yan
Neurocomputing 519, 205-217, 2023
412023
Deep neural network fusion via graph matching with applications to model ensemble and federated learning
C Liu, C Lou, R Wang, AY Xi, L Shen, J Yan
International Conference on Machine Learning (ICML 2022), 13857-13869, 2022
412022
Intention propagation for multi-agent reinforcement learning
C Qu, H Li, C Liu, J Xiong, W Chu, W Wang, Y Qi, L Song
152020
Learning to Simulate on Sparse Trajectory Data
H Wei, C Chen, C Liu, G Zheng, Z Li
The European Conference on Machine Learning and Principles and Practice of …, 2020
152020
Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching
C Liu, Z Jiang, R Wang, L Huang, P Lu, J Yan
International Conference on Learning Representations (ICLR 2023), 2023
10*2023
Self-supervised learning of visual graph matching
C Liu, S Zhang, X Yang, J Yan
European Conference on Computer Vision, 370-388, 2022
92022
Rebuilding city-wide traffic origin destination from road speed data
G Zheng, C Liu, H Wei, C Chen, Z Li
2021 IEEE 37th International Conference on Data Engineering (ICDE), 301-312, 2021
82021
Learning to route via theory-guided residual network
C Liu, G Zheng, Z Li
arXiv preprint arXiv:2105.08279, 2021
42021
Knowledge-based Residual Learning.
G Zheng, C Liu, H Wei, P Jenkins, C Chen, T Wen, Z Li
IJCAI, 1653-1659, 2021
22021
Pygmtools: A Python Graph Matching Toolkit
R Wang, Z Guo, W Pan, J Ma, Y Zhang, N Yang, Q Liu, L Wei, H Zhang, ...
Journal of Machine Learning Research 25, 1-7, 2024
12024
ALCNN: Attention-based model for fine-grained demand inference of dock-less shared bike in new cities
C Liu, Y Xu, Y Zhu
arXiv preprint arXiv:1909.11760, 2019
12019
L2P-MIP: Learning to Presolve for Mixed Integer Programming
C Liu, Z Dong, H Ma, W Luo, X Li, B Pang, J Zeng, J Yan
The Twelfth International Conference on Learning Representations (ICLR24), 2024
2024
Towards General Loop Invariant Generation via Coordinating Symbolic Execution and Large Language Models
C Liu, X Wu, Y Feng, Q Cao, J Yan
arXiv preprint arXiv:2311.10483, 2023
2023
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Articles 1–15