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Liang Zhang
Liang Zhang
Peng Cheng Laboratory
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Title
Cited by
Cited by
Year
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
2952018
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
2322018
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
772014
Adversarial training methods for network embedding
Q Dai, X Shen, L Zhang, Q Li, D Wang
The World Wide Web Conference, 329-339, 2019
662019
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
632015
Sponsoring Content: Motivation and Pitfalls for Content Service Providers
L Zhang, D Wang
INFOCOM Workshop on Smart Data Pricing, 2014
592014
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
212016
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
182012
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
162014
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
142021
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
142020
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
132020
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
122019
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
122018
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
112019
Recommender system based on scarce information mining
W Lu, F Chung, K Lai, L Zhang
Neural Networks 93, 256-266, 2017
102017
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
72019
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
72013
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
72013
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
32019
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