| A unified framework for marketing budget allocation K Zhao, J Hua, L Yan, Q Zhang, H Xu, C Yang Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 32 | 2019 |
| Learning and transferring ids representation in e-commerce K Zhao, Y Li, Z Shuai, C Yang Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 24 | 2018 |
| Stock constrained recommendation in tmall W Zhong, R Jin, C Yang, X Yan, Q Zhang, Q Li Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 21 | 2015 |
| Progressively stacking 2.0: A multi-stage layerwise training method for bert training speedup C Yang, S Wang, C Yang, Y Li, R He, J Zhang arXiv preprint arXiv:2011.13635, 2020 | 18 | 2020 |
| Robust online matching with user arrival distribution drift YH Zhou, C Liang, N Li, C Yang, S Zhu, R Jin Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 459-466, 2019 | 13 | 2019 |
| Hybrid sampling on mutual information entropy-based clustering ensembles for optimizations F Wang, C Yang, Z Lin, Y Li, Y Yuan Neurocomputing 73 (7-9), 1457-1464, 2010 | 13 | 2010 |
| Dynamic popularity-aware contrastive learning for recommendation F Lin, W Jiang, J Zhang, C Yang Asian Conference on Machine Learning, 964-968, 2021 | 11 | 2021 |
| A practical semi-parametric contextual bandit. Y Peng, M Xie, J Liu, X Meng, N Li, C Yang, T Yao, R Jin IJCAI, 3246-3252, 2019 | 11 | 2019 |
| Improving contrastive learning of sentence embeddings with case-augmented positives and retrieved negatives W Wang, L Ge, J Zhang, C Yang Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 10 | 2022 |
| Deep multi-representational item network for CTR prediction J Zhang, F Lin, C Yang, W Wang Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 9 | 2022 |
| Markdowns in e-commerce fresh retail: A counterfactual prediction and multi-period optimization approach J Hua, L Yan, H Xu, C Yang Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 8 | 2021 |
| Using selfish gene theory to construct mutual information and entropy based clusters for bivariate optimizations F Wang, Z Lin, C Yang, Y Li Soft Computing 15, 907-915, 2011 | 8 | 2011 |
| Dynamic sequential recommendation: Decoupling user intent from temporal context W Jiang, F Lin, J Zhang, C Yang, H Zhang, Z Cui 2021 International Conference on Data Mining Workshops (ICDMW), 18-26, 2021 | 7 | 2021 |
| Real-time Sequential Security-Constrained Optimal Power Flow: A Hybrid Knowledge-Data-Driven Reinforcement Learning Approach Z Yi, X Wang, C Yang, C Yang, M Niu, W Yin IEEE Transactions on Power Systems, 2023 | 5 | 2023 |
| Semi-parametric sampling for stochastic bandits with many arms M Ou, N Li, C Yang, S Zhu, R Jin Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 7933-7940, 2019 | 5 | 2019 |
| A new sequential prediction framework with spatial-temporal embedding J Zhang, F Lin, C Yang, W Jiang Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 4 | 2022 |
| SAS: Self-Augmentation Strategy for Language Model Pre-training Y Xu, J Zhang, R He, L Ge, C Yang, C Yang, YN Wu Proceedings of the AAAI Conference on Artificial Intelligence 36 (10), 11586 …, 2022 | 3 | 2022 |
| System and method for traffic control in online platform H Xu, G Yang, C Zhang, J Yin, Y Kaifan, T Chuang, C Yang, S Zhu, R Jin US Patent App. 16/629,007, 2020 | 3 | 2020 |
| KDD CUP 2022 Wind Power Forecasting Team 88VIP Solution F Lin, W Jiang, H Zhang, C Yang arXiv preprint arXiv:2208.08952, 2022 | 2 | 2022 |
| Reinforcement Learning and Stochastic Optimization with Deep Learning-Based Forecasting on Power Grid Scheduling C Yang, J Zhang, W Jiang, L Wang, H Zhang, Z Yi, F Lin Processes 11 (11), 3188, 2023 | 1 | 2023 |
