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 | 435 | 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 | 415 | 2018 |
Deep reinforcement learning for list-wise recommendations X Zhao, L Zhang, L Xia, Z Ding, D Yin, J Tang RL4KD'19, 1st Workshop on Deep Reinforcement Learning for Knowledge Discovery, 2017 | 198 | 2017 |
Adversarial training methods for network embedding Q Dai, X Shen, L Zhang, Q Li, D Wang The world wide web conference, 329-339, 2019 | 112 | 2019 |
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 | 87 | 2014 |
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 | 76 | 2015 |
Sponsoring Content: Motivation and Pitfalls for Content Service Providers L Zhang, D Wang INFOCOM Workshop on Smart Data Pricing, 2014 | 67 | 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 | 39 | 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 | 36 | 2020 |
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 | 25 | 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 | 21 | 2012 |
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 | 20 | 2020 |
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 |
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 | 15 | 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 | 15 | 2018 |
Ranking network embedding via adversarial learning Q Dai, Q Li, L Zhang, D Wang Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia …, 2019 | 13 | 2019 |
Recommender system based on scarce information mining W Lu, F Chung, K Lai, L Zhang Neural Networks 93, 256-266, 2017 | 13 | 2017 |
Mitigating action hysteresis in traffic signal control with traffic predictive reinforcement learning X Han, X Zhao, L Zhang, W Wang Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 9 | 2023 |
Variety matters: a new model for the wireless data market under sponsored data plans Y Zhao, H Su, L Zhang, D Wang, K Xu Proceedings of the International Symposium on Quality of Service, 1-10, 2019 | 9 | 2019 |
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, 488-499, 2013 | 7 | 2013 |