| Basnet: Boundary-aware salient object detection X Qin, Z Zhang, C Huang, C Gao, M Dehghan, M Jagersand Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1601 | 2019 |
| An efficient local search heuristic with row weighting for the unicost set covering problem C Gao, X Yao, T Weise, J Li European Journal of Operational Research 246 (3), 750-761, 2015 | 60 | 2015 |
| Move Prediction Using Deep Convolutional Neural Networks in Hex C Gao, R Hayward, M Müller IEEE Transactions on Games 10 (4), 336-343, 2017 | 38 | 2017 |
| An iterative pseudo-gap enumeration approach for the multidimensional multiple-choice knapsack problem C Gao, G Lu, X Yao, J Li European Journal of Operational Research 260 (1), 1-11, 2017 | 35 | 2017 |
| Three-Head Neural Network Architecture for Monte Carlo Tree Search. C Gao, M Müller, R Hayward IJCAI, 3762-3768, 2018 | 31 | 2018 |
| Commongraph: Graph analytics on evolving data M Afarin, C Gao, S Rahman, N Abu-Ghazaleh, R Gupta Proceedings of the 28th ACM International Conference on Architectural …, 2023 | 23 | 2023 |
| Skynet: A top deep rl agent in the inaugural pommerman team competition C Gao, P Hernandez-Leal, B Kartal, ME Taylor arXiv preprint arXiv:1905.01360, 2019 | 22 | 2019 |
| On hard exploration for reinforcement learning: A case study in pommerman C Gao, B Kartal, P Hernandez-Leal, ME Taylor Proceedings of the AAAI Conference on Artificial Intelligence and …, 2019 | 16 | 2019 |
| Focused Depth-first Proof Number Search using Convolutional Neural Networks for the Game of Hex. C Gao, M Müller, R Hayward IJCAI, 3668-3674, 2017 | 15 | 2017 |
| A stochastic local search heuristic for the multidimensional multiple-choice knapsack problem Y Xia, C Gao, JL Li Bio-Inspired Computing--Theories and Applications: 10th International …, 2015 | 13 | 2015 |
| A weighting-based local search heuristic algorithm for the set covering problem C Gao, T Weise, J Li 2014 IEEE Congress on Evolutionary Computation (CEC), 826-831, 2014 | 12 | 2014 |
| Sample average approximation for stochastic optimization with dependent data: Performance guarantees and tractability Y Wang, B Pan, W Tu, P Liu, B Jiang, C Gao, W Lu, S Jui, L Kong Proceedings of the AAAI Conference on Artificial Intelligence 36 (4), 3859-3867, 2022 | 10 | 2022 |
| Hex 2018: MoHex3HNN over DeepEzo. C Gao, K Takada, R Hayward J. Int. Comput. Games Assoc. 41 (1), 39-42, 2019 | 9 | 2019 |
| Pommerman & NeurIPS 2018: Multi-Agent Competition C Resnick, C Gao, G Márton, T Osogami, L Pang, T Takahashi The NeurIPS'18 Competition: From Machine Learning to Intelligent …, 2020 | 8 | 2020 |
| Adversarial policy gradient for alternating markov games C Gao, M Mueller, R Hayward | 8 | 2018 |
| Safer deep RL with shallow MCTS: A case study in Pommerman B Kartal, P Hernandez-Leal, C Gao, ME Taylor arXiv preprint arXiv:1904.05759, 2019 | 7 | 2019 |
| Bansor: Improving Tensor Program Auto-Scheduling with Bandit Based Reinforcement Learning C Gao, T Mo, T Zowtuk, T Sajed, L Gong, H Chen, S Jui, W Lu 2021 IEEE 33rd International Conference on Tools with Artificial …, 2021 | 6 | 2021 |
| A transferable neural network for Hex C Gao, S Yan, R Hayward, M Müller ICGA Journal 40 (3), 224-233, 2018 | 6 | 2018 |
| Search and Learning Algorithms for Two-Player Games with Application to the Game of Hex C Gao | 4 | 2020 |
| Improve the 3-flip neighborhood local search by random flat move for the set covering problem C Gao, T Weise, J Li Advances in Swarm Intelligence: 5th International Conference, ICSI 2014 …, 2014 | 4 | 2014 |
Xuebin QinUniversity of AlbertaBestätigte E-Mail-Adresse bei ualberta.ca
