Підписатись
Chenwei Zhang
Chenwei Zhang
Senior Applied Scientist, Amazon
Підтверджена електронна адреса в amazon.com - Домашня сторінка
Назва
Посилання
Посилання
Рік
Direction-of-arrival estimation based on deep neural networks with robustness to array imperfections
ZM Liu, C Zhang, SY Philip
IEEE Transactions on Antennas and Propagation 66 (12), 7315-7327, 2018
4752018
Joint Slot Filling and Intent Detection via Capsule Neural Networks
C Zhang, Y Li, N Du, W Fan, PS Yu
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2018
3062018
Zero-shot User Intent Detection via Capsule Neural Networks
C Xia, C Zhang, X Yan, Y Chang, PS Yu
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
2512018
Deepmood: modeling mobile phone typing dynamics for mood detection
B Cao, L Zheng, C Zhang, PS Yu, A Piscitello, J Zulueta, O Ajilore, K Ryan, ...
Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017
1642017
Multi-Grained Named Entity Recognition
C Xia, C Zhang, T Yang, Y Li, N Du, X Wu, W Fan, F Ma, P Yu
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
1222019
SelfORE: Self-supervised Relational Feature Learning for Open Relation Extraction
X Hu, C Zhang, Y Xu, L Wen, PS Yu
Proceedings of the 2020 Conference on Empirical Methods in Natural Language, 2020
992020
Autoknow: Self-driving knowledge collection for products of thousands of types
XL Dong, X He, A Kan, X Li, Y Liang, J Ma, YE Xu, C Zhang, T Zhao, ...
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
962020
Semi-supervised relation extraction via incremental meta self-training
X Hu, C Zhang, F Ma, C Liu, L Wen, PS Yu
arXiv preprint arXiv:2010.16410, 2020
852020
BL-MNE: Emerging Heterogeneous Social Network Embedding through Broad Learning with Aligned Autoencoder
J Zhang, C Xia, C Zhang, L Cui, Y Fu, PS Yu
Data Mining (ICDM), 2017 IEEE 17th International Conference on, 2017
762017
Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction
X Hu, C Zhang, Y Yang, X Li, L Lin, L Wen, PS Yu
Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021
632021
Mining user intentions from medical queries: A neural network based heterogeneous jointly modeling approach
C Zhang, W Fan, N Du, PS Yu
Proceedings of the 25th International Conference on World wide web, 1373-1384, 2016
592016
Cg-bert: Conditional text generation with bert for generalized few-shot intent detection
C Xia, C Zhang, H Nguyen, J Zhang, P Yu
arXiv preprint arXiv:2004.01881, 2020
522020
Octet: Online catalog taxonomy enrichment with self-supervision
Y Mao, T Zhao, A Kan, C Zhang, XL Dong, C Faloutsos, J Han
Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
492020
Multi-Task Pharmacovigilance Mining from Social Media Posts
S Chowdhury, C Zhang, PS Yu
The Web Conference 2018, 2018
452018
HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction
S Liu, X Hu, C Zhang, S Li, L Wen, PS Yu
The 2022 Conference of the North American Chapter of the Association for …, 2022
422022
Extracting medical knowledge from crowdsourced question answering website
Y Li, C Liu, N Du, W Fan, Q Li, J Gao, C Zhang, H Wu
IEEE Transactions on Big Data 6 (2), 309-321, 2016
402016
A new method to determine basic probability assignment using core samples
C Zhang, Y Hu, FTS Chan, R Sadiq, Y Deng
Knowledge-based systems 69, 140-149, 2014
322014
Broad Learning based Multi-Source Collaborative Recommendation
J Zhu, J Zhang, L He, Q Wu, B Zhou, C Zhang, PS Yu
Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017
312017
Dynamic Semantic Matching and Aggregation Network for Few-shot Intent Detection
H Nguyen, C Zhang, C Xia, PS Yu
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
302020
Augmented LSTM framework to construct medical self-diagnosis android
C Liu, H Sun, N Du, S Tan, H Fei, W Fan, T Yang, H Wu, Y Li, C Zhang
2016 IEEE 16th International Conference on Data Mining (ICDM), 251-260, 2016
292016
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