Zheng LIU
Zheng LIU
Associate Researcher 2, Microsoft Research Asia
Verified email at ust.hk - Homepage
Title
Cited by
Cited by
Year
gmission: A general spatial crowdsourcing platform
Z Chen, R Fu, Z Zhao, Z Liu, L Xia, L Chen, P Cheng, CC Cao, Y Tong, ...
Proceedings of the VLDB Endowment 7 (13), 1629-1632, 2014
1242014
Neural news recommendation with long-and short-term user representations
M An, F Wu, C Wu, K Zhang, Z Liu, X Xie
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
422019
Cleaning uncertain data with a noisy crowd
CJ Zhang, L Chen, Y Tong, Z Liu
2015 IEEE 31st International Conference on Data Engineering, 6-17, 2015
412015
Context-aware academic collaborator recommendation
Z Liu, X Xie, L Chen
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
262018
Mutual benefit aware task assignment in a bipartite labor market
L Zheng, L Chen
2016 IEEE 32nd International Conference on Data Engineering (ICDE), 73-84, 2016
162016
Lightrec: A memory and search-efficient recommender system
D Lian, H Wang, Z Liu, J Lian, E Chen, X Xie
Proceedings of The Web Conference 2020, 695-705, 2020
102020
Fine-grained Interest Matching for Neural News Recommendation
H Wang, F Wu, Z Liu, X Xie
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
82020
Leveraging Demonstrations for Reinforcement Recommendation Reasoning over Knowledge Graphs
K Zhao, X Wang, Y Zhang, L Zhao, Z Liu, C Xing, X Xie
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
72020
Personalized recommendation systems: Five hot research topics you must know
X Xie, J Lian, Z Liu, X Wang, F Wu, H Wang, Z Chen
Microsoft Research Lab-Asia, 2018
62018
Tuning crowdsourced human computation
C Cao, J Tu, Z Liu, L Chen, HV Jagadish
2017 IEEE 33rd International Conference on Data Engineering (ICDE), 1021-1032, 2017
52017
Realtime traffic speed estimation with sparse crowdsourced data
Z Liu, L Chen, Y Tong
2018 IEEE 34th International Conference on Data Engineering (ICDE), 329-340, 2018
42018
Worker recommendation for crowdsourced q&a services: A triple-factor aware approach
Z Liu, L Chen
Proceedings of the VLDB Endowment 11 (3), 380-392, 2017
42017
Octopus: Comprehensive and Elastic User Representation for the Generation of Recommendation Candidates
Z Liu, J Lian, J Yang, D Lian, X Xie
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
22020
A Novel User Representation Paradigm for Making Personalized Candidate Retrieval
Z Liu, Y Xing, J Lian, D Lian, Z Li, X Xie
arXiv preprint arXiv:1907.06323, 2019
12019
AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search
C Li, B Pang, Y Liu, H Sun, Z Liu, X Xie, T Yang, Y Cui, L Zhang, Q Zhang
arXiv preprint arXiv:2104.12080, 2021
2021
Hybrid Encoder: Towards Efficient and Precise Native AdsRecommendation via Hybrid Transformer Encoding Networks
J Yang, Z Liu, B Jin, J Lian, D Lian, A Soni, EY Kang, Y Wang, G Sun, ...
arXiv preprint arXiv:2104.10925, 2021
2021
Search-oriented Differentiable Product Quantization
S Xiao, Z Liu, Y Shao, D Lian, X Xie
arXiv preprint arXiv:2104.07858, 2021
2021
Training Microsoft News Recommenders with Pretrained Language Models in the Loop
S Xiao, Z Liu, Y Shao, T Di, X Xie
arXiv preprint arXiv:2102.09268, 2021
2021
Multi-Interest-Aware User Modeling for Large-Scale Sequential Recommendations
J Lian, I Batal, Z Liu, A Soni, EY Kang, Y Wang, X Xie
arXiv preprint arXiv:2102.09211, 2021
2021
Sampling-Decomposable Generative Adversarial Recommender
B Jin, D Lian, Z Liu, Q Liu, J Ma, X Xie, E Chen
arXiv preprint arXiv:2011.00956, 2020
2020
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