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Qian Xu 0005
Person information
- affiliation: WeBank, Shenzhen, China
- affiliation (former): Baidu, China
- affiliation (PhD): Hong Kong University of Science and Technology, Bioengineering Programme, Hong Kong
Other persons with the same name
- Qian Xu — disambiguation page
- Qian Xu 0001 — Texas A&M University, Department of Electrical and Computer Engineering, College Station, TX, USA
- Qian Xu 0002 — Elon University, School of Communications, NC, USA (and 1 more)
- Qian Xu 0003 — Technicolor, Research and Innovations, Princeton, NJ, USA (and 1 more)
- Qian Xu 0004 — Northeast Normal University, China
- Qian Xu 0006 — University of Huddersfield, CGIV Research Group, UK
- Qian Xu 0007 — Xi'an Jiaotong University, School of Electronic and Information Engineering, China
- Qian Xu 0008 — Tongji University, Department of Computer Science and Technology, Shanghai, China
- Qian Xu 0009 — Arizona State University, Tempe, USA
- Qian Xu 0010 — City University of Hong Kong, Hong Kong
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2020 – today
- 2023
- [j11]Zelei Liu, Yuanyuan Chen, Yansong Zhao, Han Yu, Yang Liu, Renyi Bao, Jinpeng Jiang, Zaiqing Nie, Qian Xu, Qiang Yang:
CAreFL: Enhancing smart healthcare with Contribution-Aware Federated Learning. AI Mag. 44(1): 4-15 (2023) - [j10]Xueyang Wu, Di Jiang, Yuanfeng Song, Qian Xu, Qiang Yang:
Enhance Mono-modal Sentiment Classification with Federated Cross-modal Transfer. IEEE Data Eng. Bull. 46(1): 158-169 (2023) - [c19]Xueyang Wu, Hengguan Huang, Youlong Ding, Hao Wang, Ye Wang, Qian Xu:
FedNP: Towards Non-IID Federated Learning via Federated Neural Propagation. AAAI 2023: 10399-10407 - 2022
- [c18]Zelei Liu, Yuanyuan Chen, Yansong Zhao, Han Yu, Yang Liu, Renyi Bao, Jinpeng Jiang, Zaiqing Nie, Qian Xu, Qiang Yang:
Contribution-Aware Federated Learning for Smart Healthcare. AAAI 2022: 12396-12404 - [c17]Yuanfeng Song, Rongzhong Lian, Yixin Chen, Di Jiang, Xuefang Zhao, Conghui Tan, Qian Xu, Raymond Chi-Wing Wong:
A Platform for Deploying the TFE Ecosystem of Automatic Speech Recognition. ACM Multimedia 2022: 6952-6954 - [i6]Xueyang Wu, Shengqi Tan, Qian Xu, Qiang Yang:
WrapperFL: A Model Agnostic Plug-in for Industrial Federated Learning. CoRR abs/2206.10407 (2022) - [i5]Youlong Ding, Xueyang Wu, Zhitao Li, Zeheng Wu, Shengqi Tan, Qian Xu, Weike Pan, Qiang Yang:
An Efficient Industrial Federated Learning Framework for AIoT: A Face Recognition Application. CoRR abs/2206.13398 (2022) - 2021
- [j9]Yang Liu, Tao Fan, Tianjian Chen, Qian Xu, Qiang Yang:
FATE: An Industrial Grade Platform for Collaborative Learning With Data Protection. J. Mach. Learn. Res. 22: 226:1-226:6 (2021) - [j8]Di Jiang, Yongxin Tong, Yuanfeng Song, Xueyang Wu, Weiwei Zhao, Jinhua Peng, Rongzhong Lian, Qian Xu, Qiang Yang:
Industrial Federated Topic Modeling. ACM Trans. Intell. Syst. Technol. 12(1): 2:1-2:22 (2021) - [j7]Di Jiang, Conghui Tan, Jinhua Peng, Chaotao Chen, Xueyang Wu, Weiwei Zhao, Yuanfeng Song, Yongxin Tong, Chang Liu, Qian Xu, Qiang Yang, Li Deng:
A GDPR-compliant Ecosystem for Speech Recognition with Transfer, Federated, and Evolutionary Learning. ACM Trans. Intell. Syst. Technol. 12(3): 30:1-30:19 (2021) - [c16]Chaotao Chen, Di Jiang, Jinhua Peng, Rongzhong Lian, Chen Jason Zhang, Qian Xu, Lixin Fan, Qiang Yang:
A Health-friendly Speaker Verification System Supporting Mask Wearing. AAAI 2021: 16004-16006 - [c15]Yuanfeng Song, Di Jiang, Xuefang Zhao, Qian Xu, Raymond Chi-Wing Wong, Lixin Fan, Qiang Yang:
L2RS: A Learning-to-Rescore Mechanism for Hybrid Speech Recognition. ACM Multimedia 2021: 1157-1166 - [c14]Yuanfeng Song, Xuefang Zhao, Di Jiang, Xiaoling Huang, Weiwei Zhao, Qian Xu, Raymond Chi-Wing Wong, Qiang Yang:
SmartSales: An AI-Powered Telemarketing Coaching System in FinTech. ACM Multimedia 2021: 2774-2776 - [c13]Yuanfeng Song, Di Jiang, Xuefang Zhao, Xiaoling Huang, Qian Xu, Raymond Chi-Wing Wong, Qiang Yang:
SmartMeeting: Automatic Meeting Transcription and Summarization for In-Person Conversations. ACM Multimedia 2021: 2777-2779 - [c12]Xinya Zhou, Conghui Tan, Di Jiang, Bosen Zhang, Si Li, Yajing Xu, Qian Xu, Sheng Gao:
Memetic Federated Learning for Biomedical Natural Language Processing. NLPCC (2) 2021: 43-55 - [i4]Weijing Chen, Guoqiang Ma, Tao Fan, Yan Kang, Qian Xu, Qiang Yang:
SecureBoost+ : A High Performance Gradient Boosting Tree Framework for Large Scale Vertical Federated Learning. CoRR abs/2110.10927 (2021) - 2020
- [c11]Zhenhui Peng, Kaixiang Mo, Xiaogang Zhu, Junlin Chen, Zhijun Chen, Qian Xu, Xiaojuan Ma:
Understanding User Perceptions of Robot's Delay, Voice Quality-Speed Trade-off and GUI during Conversation. CHI Extended Abstracts 2020: 1-8 - [c10]Conghui Tan, Di Jiang, Huaxiao Mo, Jinhua Peng, Yongxin Tong, Weiwei Zhao, Chaotao Chen, Rongzhong Lian, Yuanfeng Song, Qian Xu:
Federated Acoustic Model Optimization for Automatic Speech Recognition. DASFAA (3) 2020: 771-774 - [c9]Conghui Tan, Di Jiang, Jinhua Peng, Xueyang Wu, Qian Xu, Qiang Yang:
A De Novo Divide-and-Merge Paradigm for Acoustic Model Optimization in Automatic Speech Recognition. IJCAI 2020: 3709-3715 - [c8]Yuanfeng Song, Di Jiang, Xiaoling Huang, Yawen Li, Qian Xu, Raymond Chi-Wing Wong, Qiang Yang:
GoldenRetriever: A Speech Recognition System Powered by Modern Information Retrieval. ACM Multimedia 2020: 4500-4502 - [c7]Wenzheng Feng, Jie Zhang, Yuxiao Dong, Yu Han, Huanbo Luan, Qian Xu, Qiang Yang, Evgeny Kharlamov, Jie Tang:
Graph Random Neural Networks for Semi-Supervised Learning on Graphs. NeurIPS 2020 - [i3]Wenzheng Feng, Jie Zhang, Yuxiao Dong, Yu Han, Huanbo Luan, Qian Xu, Qiang Yang, Jie Tang:
Graph Random Neural Network. CoRR abs/2005.11079 (2020)
2010 – 2019
- 2019
- [c6]Di Jiang, Yuanfeng Song, Yongxin Tong, Xueyang Wu, Weiwei Zhao, Qian Xu, Qiang Yang:
Federated Topic Modeling. CIKM 2019: 1071-1080 - [c5]Yuanfeng Song, Di Jiang, Weiwei Zhao, Qian Xu, Raymond Chi-Wing Wong, Qiang Yang:
Chameleon: A Language Model Adaptation Toolkit for Automatic Speech Recognition of Conversational Speech. EMNLP/IJCNLP (3) 2019: 37-42 - [c4]Yuanfeng Song, Di Jiang, Xueyang Wu, Qian Xu, Raymond Chi-Wing Wong, Qiang Yang:
Topic-Aware Dialogue Speech Recognition with Transfer Learning. INTERSPEECH 2019: 829-833 - [i2]Hankz Hankui Zhuo, Wenfeng Feng, Qian Xu, Qiang Yang, Yufeng Lin:
Federated Reinforcement Learning. CoRR abs/1901.08277 (2019) - [i1]Yuanfeng Song, Di Jiang, Xuefang Zhao, Qian Xu, Raymond Chi-Wing Wong, Lixin Fan, Qiang Yang:
L2RS: A Learning-to-Rescore Mechanism for Automatic Speech Recognition. CoRR abs/1910.11496 (2019) - 2012
- [j6]Qian Xu, Evan Wei Xiang, Qiang Yang, Jiachun Du, Jieping Zhong:
SMS Spam Detection Using Noncontent Features. IEEE Intell. Syst. 27(6): 44-51 (2012) - 2011
- [j5]Qian Xu, Hong Xue, Qiang Yang:
Multi-platform gene-expression mining and marker gene analysis. Int. J. Data Min. Bioinform. 5(5): 485-503 (2011) - [j4]Qian Xu, Qiang Yang:
A Survey of Transfer and Multitask Learning in Bioinformatics. J. Comput. Sci. Eng. 5(3): 257-268 (2011) - [j3]Qian Xu, Sinno Jialin Pan, Hannah Hong Xue, Qiang Yang:
Multitask Learning for Protein Subcellular Location Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 8(3): 748-759 (2011) - 2010
- [j2]Qi Liu, Qian Xu, Vincent Wenchen Zheng, Hong Xue, Zhi-Wei Cao, Qiang Yang:
Multi-task learning for cross-platform siRNA efficacy prediction: an in-silico study. BMC Bioinform. 11: 181 (2010) - [c3]Qian Xu, Evan Wei Xiang, Qiang Yang:
Protein-protein interaction prediction via Collective Matrix Factorization. BIBM 2010: 62-67 - [c2]Qian Xu, Derek Hao Hu, Qiang Yang, Hong Xue:
SimpleTrPPI: A simple method for transferring knowledge between interaction networks for PPI prediction. BIBM Workshops 2010: 130-135 - [c1]Qian Xu, Derek Hao Hu, Hong Xue, Qiang Yang:
Predicting chemical activities from structures by attributed molecular graph classification. CIBCB 2010: 1-8
2000 – 2009
- 2009
- [j1]Qian Xu, Derek Hao Hu, Hong Xue, Weichuan Yu, Qiang Yang:
Semi-supervised protein subcellular localization. BMC Bioinform. 10(S-1) (2009)
Coauthor Index
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