| Diagnosing deep learning models for high accuracy age estimation from a single image J Xing, K Li, W Hu, C Yuan, H Ling Pattern Recognition 66, 106-116, 2017 | 126 | 2017 |
| D2C: Deep cumulatively and comparatively learning for human age estimation K Li, J Xing, W Hu, SJ Maybank Pattern Recognition 66, 95-105, 2017 | 69 | 2017 |
| AlphaHoldem: High-Performance Artificial Intelligence for Heads-Up No-Limit Poker via End-to-End Reinforcement Learning E Zhao, R Yan, J Li, K Li, J Xing Proceedings of the AAAI Conference on Artificial Intelligence 36 (4), 4689-4697, 2022 | 61 | 2022 |
| Deep cost-sensitive and order-preserving feature learning for cross-population age estimation K Li, J Xing, C Su, W Hu, Y Zhang, S Maybank IEEE Conference on Computer Vision and Pattern Recognition, 399-408, 2018 | 43* | 2018 |
| Actor-critic policy optimization in a large-scale imperfect-information game H Fu, W Liu, S Wu, Y Wang, T Yang, K Li, J Xing, B Li, B Ma, Q Fu, Y Wei International Conference on Learning Representations, 2022 | 31 | 2022 |
| L2e: Learning to exploit your opponent Z Wu, K Li, H Xu, Y Zang, B An, J Xing International Joint Conference on Neural Networks, 1-8, 2022 | 30 | 2022 |
| Predicting image memorability by multi-view adaptive regression H Peng, K Li, B Li, H Ling, W Xiong, W Hu ACM International Conference on Multimedia, 1147-1150, 2015 | 25 | 2015 |
| Automatic grouping for efficient cooperative multi-agent reinforcement learning Y Zang, J He, K Li, H Fu, Q Fu, J Xing, J Cheng Advances in Neural Information Processing Systems 36, 46105-46121, 2023 | 15 | 2023 |
| Greedy when Sure and Conservative when Uncertain about the Opponents H Fu, Y Tian, H Yu, W Liu, S Wu, J Xiong, Y Wen, K Li, J Xing, Q Fu, ... International Conference on Machine Learning, 6829-6848, 2022 | 15 | 2022 |
| AutoCFR: Learning to Design Counterfactual Regret Minimization Algorithms H Xu, K Li, H Fu, Q Fu, J Xing Proceedings of the AAAI Conference on Artificial Intelligence 36 (5), 5244-5251, 2022 | 13 | 2022 |
| OpenHoldem: A Benchmark for Large-Scale Imperfect-Information Game Research K Li, H Xu, E Zhao, Z Wu, J Xing IEEE Transactions on Neural Networks and Learning Systems, 2023 | 12* | 2023 |
| Sequential Cooperative Multi-Agent Reinforcement Learning Y Zang, J He, K Li, H Fu, Q Fu, J Xing Proceedings of the International Conference on Autonomous Agents and …, 2023 | 10 | 2023 |
| Dynamic Discounted Counterfactual Regret Minimization H Xu, K Li, H Fu, Q FU, J Xing, J Cheng International Conference on Learning Representations, 2024 | 9 | 2024 |
| Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing J He, K Li, Y Zang, H Fu, Q Fu, J Xing, J Cheng Proceedings of the AAAI Conference on Artificial Intelligence 38 (11), 12376 …, 2024 | 8* | 2024 |
| Deep Age Estimation Model Stabilization from Images to Videos Z Ji, C Lang, K Li, J Xing IEEE International Conference on Pattern Recognition, 1420-1425, 2018 | 8 | 2018 |
| Bootstrapping deep feature hierarchy for pornographic image recognition K Li, J Xing, B Li, W Hu IEEE International Conference on Image Processing, 4423-4427, 2016 | 8 | 2016 |
| Exploration via State influence Modeling Y Kang, E Zhao, K Li, J Xing AAAI Conference on Artificial Intelligence 35 (9), 8047-8054, 2021 | 7 | 2021 |
| Potential driven reinforcement learning for hard exploration tasks E Zhao, S Deng, Y Zang, Y Kang, K Li, J Xing International Joint Conferences on Artificial Intelligence, 2096-2102, 2021 | 7 | 2021 |
| Sample efficient reinforcement learning using graph-based memory reconstruction Y Kang, E Zhao, Y Zang, L Li, K Li, P Tao, J Xing IEEE Transactions on Artificial Intelligence 5 (2), 751-762, 2023 | 6 | 2023 |
| Towards Offline Opponent Modeling with In-context Learning Y Jing, K Li, B Liu, Y Zang, H Fu, Q FU, J Xing, J Cheng International Conference on Learning Representations, 2023 | 3 | 2023 |
Junliang XING (兴军亮)Professor, Tsinghua Universityبريد إلكتروني تم التحقق منه على tsinghua.edu.cn