| Deep reinforcement learning for page-wise recommendations X Zhao, L Xia, L Zhang, Z Ding, D Yin, J Tang Proceedings of the 12th ACM Conference on Recommender Systems, 95-103, 2018 | 295 | 2018 |
| Recommendations with negative feedback via pairwise deep reinforcement learning X Zhao, L Zhang, Z Ding, L Xia, J Tang, D Yin Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 232 | 2018 |
| Time dependent pricing in wireless data networks: Flat-rate vs. usage-based schemes L Zhang, W Wu, D Wang IEEE INFOCOM 2014-IEEE Conference on Computer Communications, 700-708, 2014 | 77 | 2014 |
| Adversarial training methods for network embedding Q Dai, X Shen, L Zhang, Q Li, D Wang The World Wide Web Conference, 329-339, 2019 | 66 | 2019 |
| Sponsored data plan: A two-class service model in wireless data networks L Zhang, W Wu, D Wang Proceedings of the 2015 ACM SIGMETRICS International Conference on …, 2015 | 63 | 2015 |
| Sponsoring Content: Motivation and Pitfalls for Content Service Providers L Zhang, D Wang INFOCOM Workshop on Smart Data Pricing, 2014 | 59 | 2014 |
| TDS: Time-Dependent Sponsored Data Plan for Wireless Data Traffic Market L Zhang, W Wu, D Wang IEEE INFOCOM 2016-IEEE Conference on Computer Communications, 2016 | 21 | 2016 |
| Fault-tolerant Scheduling for Data Collection in Wireless Sensor Networks L Zhang, Q Ye, J Cheng, H Jiang, Y Wang, R Zhou, P Zhao IEEE GLOBECOM, 2012 | 18 | 2012 |
| Strategy-proof thermal comfort voting in buildings L Zhang, AH Lam, D Wang Proceedings of the 1st ACM Conference on Embedded Systems for Energy …, 2014 | 16 | 2014 |
| An attention-based model for conversion rate prediction with delayed feedback via post-click calibration Y Su, L Zhang, Q Dai, B Zhang, J Yan, D Wang, Y Bao, S Xu, Y He, W Yan Proceedings of the Twenty-Ninth International Conference on International …, 2021 | 14 | 2021 |
| Mahrl: Multi-goals abstraction based deep hierarchical reinforcement learning for recommendations D Zhao, L Zhang, B Zhang, L Zheng, Y Bao, W Yan Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 14 | 2020 |
| Understand love of variety in wireless data market under sponsored data plans Y Zhao, H Wang, H Su, L Zhang, R Zhang, D Wang, K Xu IEEE journal on selected areas in communications 38 (4), 766-781, 2020 | 13 | 2020 |
| Ranking network embedding via adversarial learning Q Dai, Q Li, L Zhang, D Wang Pacific-Asia Conference on Knowledge Discovery and Data Mining, 27-39, 2019 | 12 | 2019 |
| Buildings affect mobile patterns: Developing a new urban mobility model Z Zheng, F Wang, D Wang, L Zhang Proceedings of the 5th Conference on Systems for Built Environments, 83-92, 2018 | 12 | 2018 |
| Regularized adversarial sampling and deep time-aware attention for click-through rate prediction Y Wang, L Zhang, Q Dai, F Sun, B Zhang, Y He, W Yan, Y Bao Proceedings of the 28th ACM International Conference on Information and …, 2019 | 11 | 2019 |
| Recommender system based on scarce information mining W Lu, F Chung, K Lai, L Zhang Neural Networks 93, 256-266, 2017 | 10 | 2017 |
| Variety matters: a new model for the wireless data market under sponsored data plans Y Zhao, H Su, L Zhang, D Wang, K Xu 2019 IEEE/ACM 27th International Symposium on Quality of Service (IWQoS), 1-10, 2019 | 7 | 2019 |
| The effectiveness of time dependent pricing in controlling usage incentives in wireless data network L Zhang, W Wu, D Wang ACM SIGCOMM Computer Communication Review 43 (4), 557-558, 2013 | 7 | 2013 |
| Lifetime optimization by load-balanced and energy efficient tree in wireless sensor networks J Ye, K Peng, C Wang, Y Wang, L Zhang, X Ma, H Jiang Mobile Networks and Applications 18 (4), 488-499, 2013 | 7 | 2013 |
| Deep Hierarchical Reinforcement Learning Based Recommendations via Multi-goals Abstraction D Zhao, L Zhang, B Zhang, L Zheng, Y Bao, W Yan arXiv preprint arXiv:1903.09374, 2019 | 3 | 2019 |
Dan WangThe Hong Kong Polytechnic UniversityVerified email at comp.polyu.edu.hk
