A class of iterative refined Max-sum algorithms via non-consecutive value propagation strategies Z Chen, Y Deng, T Wu, Z He Autonomous Agents and Multi-Agent Systems 32, 822-860, 2018 | 23 | 2018 |
An ant-based algorithm to solve distributed constraint optimization problems Z Chen, T Wu, Y Deng, C Zhang Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 21 | 2018 |
An iterative refined Max-sum_ad algorithm via single-side value propagation and local search Z Chen, Y Deng, T Wu Proceedings of the 16th conference on autonomous agents and multiagent …, 2017 | 16 | 2017 |
RMB-DPOP: Refining MB-DPOP by reducing redundant inferences Z Chen, W Zhang, Y Deng, D Chen, Q Li arXiv preprint arXiv:2002.10641, 2020 | 14 | 2020 |
A partial decision scheme for local search algorithms for distributed constraint optimization problems Z Yu, Z Chen, J He, Y Deng Proceedings of the 16th conference on autonomous agents and multiagent …, 2017 | 12 | 2017 |
HS-CAI: A hybrid DCOP algorithm via combining search with context-based inference D Chen, Y Deng, Z Chen, W Zhang, Z He Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 7087-7094, 2020 | 11 | 2020 |
PT-ISABB: A hybrid tree-based complete algorithm to solve asymmetric distributed constraint optimization problems Y Deng, Z Chen, D Chen, X Jiang, Q Li arXiv preprint arXiv:1902.06039, 2019 | 11 | 2019 |
Speeding up incomplete GDL-based algorithms for multi-agent optimization with dense local utilities Y Deng, B An Proceedings of the Twenty-Ninth International Conference on International …, 2021 | 10 | 2021 |
A hybrid tree-based algorithm to solve asymmetric distributed constraint optimization problems D Chen, Y Deng, Z Chen, Z He, W Zhang Autonomous Agents and Multi-Agent Systems 34 (2), 50, 2020 | 8 | 2020 |
Pretrained cost model for distributed constraint optimization problems Y Deng, S Kong, B An Proceedings of the AAAI Conference on Artificial Intelligence 36 (9), 9331-9340, 2022 | 7 | 2022 |
A generic approach to accelerating belief propagation based incomplete algorithms for dcops via a branch-and-bound technique Z Chen, X Jiang, Y Deng, D Chen, Z He Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 6038-6045, 2019 | 7* | 2019 |
Neural Regret-Matching for Distributed Constraint Optimization Problems. Y Deng, R Yu, X Wang, B An IJCAI, 146-153, 2021 | 6 | 2021 |
AsymDPOP: complete inference for asymmetric distributed constraint optimization problems Y Deng, Z Chen, D Chen, W Zhang, X Jiang arXiv preprint arXiv:1905.11828, 2019 | 6 | 2019 |
Deep attentive belief propagation: Integrating reasoning and learning for solving constraint optimization problems Y Deng, S Kong, C Liu, B An Advances in Neural Information Processing Systems 35, 25436-25449, 2022 | 4 | 2022 |
Utility distribution matters: Enabling fast belief propagation for multi-agent optimization with dense local utility function Y Deng, B An Autonomous Agents and Multi-Agent Systems 35 (2), 24, 2021 | 4 | 2021 |
Battery management for automated warehouses via deep reinforcement learning Y Deng, B An, Z Qiu, L Li, Y Wang, Y Xu Distributed Artificial Intelligence: Second International Conference, DAI …, 2020 | 3 | 2020 |
Inference-based complete algorithms for asymmetric distributed constraint optimization problems D Chen, Z Chen, Y Deng, Z He, L Wang Artificial Intelligence Review 56 (5), 4491-4534, 2023 | 1 | 2023 |
Factor Graph Neural Network Meets Max-Sum: A Real-Time Route Planning Algorithm for Massive-Scale Trips Y Li, W Wang, W Xu, Y Deng, W Wu Proceedings of the 23rd International Conference on Autonomous Agents and …, 2024 | | 2024 |
Exploring leximin principle for fair core-selecting combinatorial auctions: payment rule design and implementation H Cheng, S Kong, Y Deng, C Liu, X Wu, B An, C Wang arXiv preprint arXiv:2312.06443, 2023 | | 2023 |
Learning Scalable Causal Discovery Policies with Adversarial Reinforcement Learning X Cai, M Yang, Y Deng, F Liu, M Zhao, B An | | 2023 |