Bing Bai (白冰)
Bing Bai (白冰)
Tencent Inc.
Verified email at tencent.com
Title
Cited by
Cited by
Year
Dltsr: A deep learning framework for recommendations of long-tail web services
B Bai, Y Fan, W Tan, J Zhang
IEEE Transactions on Services Computing 13 (1), 73-85, 2017
552017
SeCo-LDA: Mining service co-occurrence topics for recommendation
Z Gao, Y Fan, C Wu, W Tan, J Zhang, Y Ni, B Bai, S Chen
2016 IEEE International Conference on Web Services (ICWS), 25-32, 2016
282016
Service recommendation for mashup creation based on time-aware collaborative domain regression
B Bai, Y Fan, K Huang, W Tan, B Xia, S Chen
2015 IEEE International Conference on Web Services, 209-216, 2015
202015
Demographics should not be the reason of toxicity: Mitigating discrimination in text classifications with instance weighting
G Zhang, B Bai, J Zhang, K Bai, C Zhu, T Zhao
arXiv preprint arXiv:2004.14088, 2020
172020
Selection bias explorations and debias methods for natural language sentence matching datasets
G Zhang, B Bai, J Liang, K Bai, S Chang, M Yu, C Zhu, T Zhao
arXiv preprint arXiv:1905.06221, 2019
172019
Seco-lda: Mining service co-occurrence topics for composition recommendation
Z Gao, Y Fan, C Wu, W Tan, J Zhang, Y Ni, B Bai, S Chen
IEEE Transactions on Services Computing 12 (3), 446-459, 2018
162018
Time-aware collaborative poisson factorization for service recommendation
S Chen, Y Fan, W Tan, J Zhang, B Bai, Z Gao
2016 IEEE International Conference on Web Services (ICWS), 196-203, 2016
142016
SR-LDA: Mining effective representations for generating service ecosystem knowledge maps
B Bai, Y Fan, W Tan, J Zhang
2017 IEEE International Conference on Services Computing (SCC), 124-131, 2017
132017
General-Purpose User Embeddings based on Mobile App Usage
J Zhang, B Bai, Y Lin, J Liang, K Bai, F Wang
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
82020
Domain-aware service recommendation for service composition
B Xia, Y Fan, C Wu, K Huang, W Tan, J Zhang, B Bai
2014 IEEE International Conference on Web Services, 439-446, 2014
72014
Adversarial infidelity learning for model interpretation
J Liang, B Bai, Y Cao, K Bai, F Wang
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
62020
Service Recommendation Based on Separated Time-aware Collaborative Poisson Factorization.
S Chen, Y Fan, W Tan, J Zhang, B Bai, Z Gao
J. Web Eng. 16 (7&8), 595-618, 2017
62017
PRNN: piecewise recurrent neural networks for predicting the tendency of services invocation
H Lin, Y Fan, J Zhang, B Bai
2018 IEEE International Conference on Web Services (ICWS), 42-49, 2018
52018
Why Attentions May Not Be Interpretable?
B Bai, J Liang, G Zhang, H Li, K Bai, F Wang
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
4*2021
A Federated Multi-View Deep Learning Framework for Privacy-Preserving Recommendations
H Li, M Huang, B Bai, C Wang, K Bai, F Wang, X Zhu, B Zhao, G Liu, C Qi
4*
Read, Attend, and Exclude: Multi-Choice Reading Comprehension by Mimicking Human Reasoning Process
C Zhang, C Luo, J Lu, A Liu, B Bai, K Bai, Z Xu
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
32020
Incorporating Field-aware Deep Embedding Networks and Gradient Boosting Decision Trees for Music Recommendation
B Bai, Y Fan
The 11th ACM International Conference on Web Search and Data Mining (WSDM …, 2017
32017
Hybrid differentially private federated learning on vertically partitioned data
C Wang, J Liang, M Huang, B Bai, K Bai, H Li
arXiv preprint arXiv:2009.02763, 2020
22020
CSRN: Collaborative Sequential Recommendation Networks for News Retrieval
B Bai, G Zhang, Y Lin, H Li, K Bai, B Luo
arXiv preprint arXiv:2004.04816, 2020
22020
HTARF: a hybrid tourist attraction recommendation framework for trip scheduling
Y Gong, Y Fan, B Bai, J Zhang, Z Gao, X Wu
2018 IEEE Fourth International Conference on Big Data Computing Service and …, 2018
22018
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Articles 1–20