| Personalized Bundle Recommendation in Online Games Q Deng, K Wang, M Zhao, Z Zou, R Wu, J Tao, C Fan, L Chen Proceedings of the 29th ACM International Conference on Information …, 2020 | 71 | 2020 |
| Investigating accuracy-novelty performance for graph-based collaborative filtering M Zhao, L Wu, Y Liang, L Chen, J Zhang, Q Deng, K Wang, X Shen, T Lv, ... Proceedings of the 45th international ACM SIGIR conference on research and …, 2022 | 42 | 2022 |
| RL4RS: A Real-World Dataset for Reinforcement Learning based Recommender System K Wang, Z Zou, M Zhao, Q Deng, Y Shang, Y Liang, R Wu, X Shen, T Lyu, ... Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 35* | 2023 |
| Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation K Wang, Z Zou, Q Deng, R Wu, J Tao, C Fan, L Chen, P Cui Proceedings of the AAAI conference on artificial intelligence 35, 4427-4435, 2021 | 28 | 2021 |
| Bilateral filtering graph convolutional network for multi-relational social recommendation in the power-law networks M Zhao, Q Deng, K Wang, R Wu, J Tao, C Fan, L Chen, P Cui ACM Transactions on Information Systems (TOIS) 40 (2), 1-24, 2021 | 22 | 2021 |
| Build Your Own Bundle-A Neural Combinatorial Optimization Method Q Deng, K Wang, M Zhao, R Wu, Y Ding, Z Zou, Y Shang, J Tao, C Fan Proceedings of the 29th ACM International Conference on Multimedia, 2625-2633, 2021 | 16 | 2021 |
| Globally Optimized Matchmaking in Online Games Q Deng, H Li, K Wang, Z Hu, R Wu, L Gong, J Tao, C Fan, P Cui Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 15 | 2021 |
| Match Tracing: A Unified Framework for Real-time Win Prediction and Quantifiable Performance Evaluation K Wang, H Li, L Gong, J Tao, R Wu, C Fan, L Chen, P Cui Proceedings of the 29th ACM International Conference on Information …, 2020 | 11 | 2020 |
| PPPNE: Personalized proximity preserved network embedding G Fan, B Geng, J Tao, K Wang, C Fan, W Zeng Neurocomputing 472, 103-112, 2022 | 6 | 2022 |
| Deep learning applications in games: a survey from a data perspective Z Hu, Y Ding, R Wu, L Li, R Zhang, Y Hu, F Qiu, Z Zhang, K Wang, S Zhao, ... Applied Intelligence 53 (24), 31129-31164, 2023 | 5 | 2023 |
| EnMatch: Matchmaking for Better Player Engagement via Neural Combinatorial Optimization K Wang, H Liu, Z Hu, X Feng, M Zhao, S Zhao, R Wu, X Shen, T Lv, C Fan Proceedings of the AAAI conference on artificial intelligence, 2024 | 1 | 2024 |
| Towards Long-term Annotators: A Supervised Label Aggregation Baseline H Liu, F Wang, M Lin, R Wu, R Zhu, S Zhao, K Wang, T Lv, C Fan arXiv preprint arXiv:2311.14709, 2023 | 1 | 2023 |
| Find Your Organization in MMORPGs Q Deng, M Zhao, K Wang, R Wu, X Shen, J Tao, C Fan IEEE Transactions on Games, 2021 | 1 | 2021 |
| Temporal Uplift Modeling for Online Marketing X Zhang, K Wang, Z Wang, B Du, S Zhao, R Wu, X Shen, T Lv, C Fan Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | | 2024 |
| MGMatch: Fast Matchmaking with Nonlinear Objective and Constraints via Multimodal Deep Graph Learning Y Sun, K Wang, Z Hu, R Wu, Y Wu, W Song, X Shen, T Lv, C Fan Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | | 2024 |
| The MMO Economist: AI Empowers Robust, Healthy, and Sustainable P2W MMO Economies S Zhao, X Yuan, R Wu, Z Hu, H Liu, K Wang, Y Hu, T Lv, C Fan, X Tong, ... Companion Proceedings of the ACM on Web Conference 2024, 443-452, 2024 | | 2024 |
Runze WuFuxi AI Lab, NetEase Games | University of Science and Technology of ChinaVerified email at mail.ustc.edu.cn
