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Qiang Yang

CityNet: A Multi-city Multi-modal Dataset for Smart City Applications


Jun 30, 2021
Xu Geng, Yilun Jin, Zhengfei Zheng, Yu Yang, Yexin Li, Han Tian, Peibo Duan, Leye Wang, Jiannong Cao, Hai Yang, Qiang Yang, Kai Chen

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Frustratingly Easy Transferability Estimation


Jun 17, 2021
Long-Kai Huang, Ying Wei, Yu Rong, Qiang Yang, Junzhou Huang

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Ternary Hashing


Mar 19, 2021
Chang Liu, Lixin Fan, Kam Woh Ng, Yilun Jin, Ce Ju, Tianyu Zhang, Chee Seng Chan, Qiang Yang

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Protecting Intellectual Property of Generative Adversarial Networks from Ambiguity Attack


Mar 01, 2021
Ding Sheng Ong, Chee Seng Chan, Kam Woh Ng, Lixin Fan, Qiang Yang

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* Accepted at CVPR2021 
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Towards Personalized Federated Learning


Mar 01, 2021
Alysa Ziying Tan, Han Yu, Lizhen Cui, Qiang Yang

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Self-supervised Cross-silo Federated Neural Architecture Search


Feb 18, 2021
Xinle Liang, Yang Liu, Jiahuan Luo, Yuanqin He, Tianjian Chen, Qiang Yang

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* This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible 
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TrNews: Heterogeneous User-Interest Transfer Learning for News Recommendation


Jan 27, 2021
Guangneng Hu, Qiang Yang

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* EACL 2021 
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Privacy and Robustness in Federated Learning: Attacks and Defenses


Dec 07, 2020
Lingjuan Lyu, Han Yu, Xingjun Ma, Lichao Sun, Jun Zhao, Qiang Yang, Philip S. Yu

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* arXiv admin note: text overlap with arXiv:2003.02133; text overlap with arXiv:1911.11815 by other authors 
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Rethinking Uncertainty in Deep Learning: Whether and How it Improves Robustness


Nov 27, 2020
Yilun Jin, Lixin Fan, Kam Woh Ng, Ce Ju, Qiang Yang

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FedEval: A Benchmark System with a Comprehensive Evaluation Model for Federated Learning


Nov 25, 2020
Di Chai, Leye Wang, Kai Chen, Qiang Yang

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PrivNet: Safeguarding Private Attributes in Transfer Learning for Recommendation


Oct 16, 2020
Guangneng Hu, Qiang Yang

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* Findings of EMNLP 2020 
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Two Sides of the Same Coin: White-box and Black-box Attacks for Transfer Learning


Aug 25, 2020
Yinghua Zhang, Yangqiu Song, Jian Liang, Kun Bai, Qiang Yang

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Protect, Show, Attend and Tell: Image Captioning Model with Ownership Protection


Aug 25, 2020
Jian Han Lim, Chee Seng Chan, Kam Woh Ng, Lixin Fan, Qiang Yang

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* 9 pages 
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FedML: A Research Library and Benchmark for Federated Machine Learning


Jul 27, 2020
Chaoyang He, Songze Li, Jinhyun So, Mi Zhang, Hongyi Wang, Xiaoyang Wang, Praneeth Vepakomma, Abhishek Singh, Hang Qiu, Li Shen, Peilin Zhao, Yan Kang, Yang Liu, Ramesh Raskar, Qiang Yang, Murali Annavaram, Salman Avestimehr

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* We maintain the source code, documents, and user community at https://fedml.ai 
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Privacy Threats Against Federated Matrix Factorization


Jul 03, 2020
Dashan Gao, Ben Tan, Ce Ju, Vincent W. Zheng, Qiang Yang

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* 6 pages, 2 figures, 1 table, Accepted for Workshop on Federated Learning for Data Privacy and Confidentiality in Conjunction with IJCAI 2020 (FL-IJCAI'20) 
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Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy Attacks


Jun 23, 2020
Lixin Fan, Kam Woh Ng, Ce Ju, Tianyu Zhang, Chang Liu, Chee Seng Chan, Qiang Yang

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* under review, 36 pages (updated Eq. 3 and Fig. 8) 
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SenWave: Monitoring the Global Sentiments under the COVID-19 Pandemic


Jun 18, 2020
Qiang Yang, Hind Alamro, Somayah Albaradei, Adil Salhi, Xiaoting Lv, Changsheng Ma, Manal Alshehri, Inji Jaber, Faroug Tifratene, Wei Wang, Takashi Gojobori, Carlos M. Duarte, Xin Gao, Xiangliang Zhang

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Incentive Mechanism Design for Resource Sharing in Collaborative Edge Learning


May 31, 2020
Wei Yang Bryan Lim, Jer Shyuan Ng, Zehui Xiong, Dusit Niyato, Cyril Leung, Chunyan Miao, Qiang Yang

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Network On Network for Tabular Data Classification in Real-world Applications


May 29, 2020
Yuanfei Luo, Hao Zhou, Weiwei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang

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Graph Random Neural Network


May 22, 2020
Wenzheng Feng, Jie Zhang, Yuxiao Dong, Yu Han, Huanbo Luan, Qian Xu, Qiang Yang, Jie Tang

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* 12 pages, 22 figures 
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Fisher Deep Domain Adaptation


Mar 12, 2020
Yinghua Zhang, Yu Zhang, Ying Wei, Kun Bai, Yangqiu Song, Qiang Yang

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Threats to Federated Learning: A Survey


Mar 04, 2020
Lingjuan Lyu, Han Yu, Qiang Yang

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* 7 pages, 4 figures, 2 tables 
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A Survey towards Federated Semi-supervised Learning


Feb 26, 2020
Yilun Jin, Xiguang Wei, Yang Liu, Qiang Yang

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