Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDQiang Yang 0001
楊強
Person information
- unicode name: 楊強
- affiliation: Hong Kong University of Science and Technology, Department of Computer Science, Kowloon, Hong Kong
- affiliation (former): Simon Fraser University, Burnaby, BC, Canada
- affiliation (former): University of Waterloo, Waterloo, Ontario, Canada
Other persons with the same name
- Qiang Yang — disambiguation page
- Qiang Yang 0002 — Shandong University of Science and Technology, China
- Qiang Yang 0003
![[0000-0002-6570-1516]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6570-1516")
— Harbin Institute of Technology, China - Qiang Yang 0004 — Zhejiang University, College of Electrical Engineering, Hangzhou, China (and 4 more)
- Qiang Yang 0005 — Jilin University, Changchun Jilin, China
- Qiang Yang 0006 — University of Amsterdam, The Netherlands
- Qiang Yang 0007 — Yangtze University, College of Computer Science, JingZhou, China
- Qiang Yang 0008 — Nanjing University of Information Science and Technology, School of Artificial Intelligence, China (and 2 more)
- Qiang Yang 0009 — Tsinghua University, State Key Laboratory of Hydroscience and Hydraulic Engineering, Beijing, China
- Qiang Yang 0010 — Sun Yat-sen University, School of Information Science and Technology, China
- Qiang Yang 0011 — University of Manchester, UK
- Qiang Yang 0012 — Chinese Academy of Sciences, Institute of Computing Technology, State Key Laboratory of Computer Architecture, China
- Qiang Yang 0013 — Huazhong University of Science and Technology (HUST), Wuhan, China
- Qiang Yang 0014 — Northeastern University, Shenyang, China
- Qiang Yang 0015 — King Abdullah University of Science and Technology, Jeddah, Saudi Arabia (and 1 more)
- Qiang Yang 0016 — Sichuan University, College of Electronics and Information Engineering, Chengdu, China
- Qiang Yang 0017 — Southwest Jiaotong University, School of Transportation and Logistics, Chengdu, China
- Qiang Yang 0018 — Shenzhen University, College of Computer Science and Software Engineering, China
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[j188]Minrui Xu, Wei Chong Ng, Wei Yang Bryan Lim, Jiawen Kang, Zehui Xiong, Dusit Niyato, Qiang Yang, Xuemin Shen, Chunyan Miao:
A Full Dive Into Realizing the Edge-Enabled Metaverse: Visions, Enabling Technologies, and Challenges. IEEE Commun. Surv. Tutorials 25(1): 656-700 (2023)- [j187]Qiang Yang, Anbu Huang, Lixin Fan, Chee Seng Chan, Jian Han Lim, Kam Woh Ng, Ding Sheng Ong, Bowen Li:
Federated Learning with Privacy-preserving and Model IP-right-protection. Int. J. Autom. Comput. 20(1): 19-37 (2023) - [j186]Bowen Li, Lixin Fan, Hanlin Gu, Jie Li, Qiang Yang:
FedIPR: Ownership Verification for Federated Deep Neural Network Models. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4521-4536 (2023) - [j185]Zhifeng Jiang, Wei Wang, Bo Li, Qiang Yang:
Towards Efficient Synchronous Federated Training: A Survey on System Optimization Strategies. IEEE Trans. Big Data 9(2): 437-454 (2023) - [j184]Xiaojin Zhang, Hanlin Gu, Lixin Fan, Kai Chen, Qiang Yang:
No Free Lunch Theorem for Security and Utility in Federated Learning. ACM Trans. Intell. Syst. Technol. 14(1): 1:1-1:35 (2023) - [j183]Huiming Chen, Huandong Wang, Quanming Yao, Yong Li, Depeng Jin, Qiang Yang:
LoSAC: An Efficient Local Stochastic Average Control Method for Federated Optimization. ACM Trans. Knowl. Discov. Data 17(4): 58:1-58:28 (2023) - [j182]Zhaohao Lin, Weike Pan, Qiang Yang, Zhong Ming:
A Generic Federated Recommendation Framework via Fake Marks and Secret Sharing. ACM Trans. Inf. Syst. 41(2): 40:1-40:37 (2023) - [c349]Mengmeng Kuang, Zhenhong Chen, Weiyan Wang, Lie Kang, Qiang Yang, Min Tang, Penghui Hao:
Multi-task Learning Based Keywords Weighted Siamese Model for Semantic Retrieval. PAKDD (3) 2023: 86-98 - [c348]Xingxing Tang, Hanlin Gu, Lixin Fan, Qiang Yang:
Achieving Provable Byzantine Fault-tolerance in a Semi-honest Federated Learning Setting. PAKDD (2) 2023: 415-427 - [i108]Hanlin Gu, Jiahuan Luo, Yan Kang, Lixin Fan, Qiang Yang:
FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation. CoRR abs/2301.12623 (2023) - [i107]Xiaojin Zhang, Anbu Huang, Lixin Fan, Kai Chen, Qiang Yang:
Probably Approximately Correct Federated Learning. CoRR abs/2304.04641 (2023) - [i106]Xiaojin Zhang, Lixin Fan, Siwei Wang, Wenjie Li, Kai Chen, Qiang Yang:
A Game-theoretic Framework for Federated Learning. CoRR abs/2304.05836 (2023) - [i105]Yuan Cao, Di Jiang, Guanqun Hou, Fan Deng, Xinjia Chen, Qiang Yang:
Learn to Cluster Faces with Better Subgraphs. CoRR abs/2304.10831 (2023) - [i104]Yan Kang, Hanlin Gu, Xingxing Tang, Yuanqin He, Yuzhu Zhang, Jinnan He, Yuxing Han, Lixin Fan, Kai Chen, Qiang Yang:
Optimizing Privacy, Utility and Efficiency in Constrained Multi-Objective Federated Learning. CoRR abs/2305.00312 (2023) - [i103]Xiaojin Zhang, Kai Chen, Qiang Yang:
Towards Achieving Near-optimal Utility for Privacy-Preserving Federated Learning via Data Generation and Parameter Distortion. CoRR abs/2305.04288 (2023) - [i102]Wenyuan Yang, Yuguo Yin, Gongxi Zhu, Hanlin Gu, Lixin Fan, Xiaochun Cao, Qiang Yang:
FedZKP: Federated Model Ownership Verification with Zero-knowledge Proof. CoRR abs/2305.04507 (2023) - [i101]Wenyuan Yang, Gongxi Zhu, Yuguo Yin, Hanlin Gu, Lixin Fan, Qiang Yang, Xiaochun Cao:
FedSOV: Federated Model Secure Ownership Verification with Unforgeable Signature. CoRR abs/2305.06085 (2023) - 2022
- [j181]Kevin Leyton-Brown, Mausam, Qiang Yang:
The New Faculty Highlights Program at AAAI-21. AI Mag. 43(4): 343 (2022) - [j180]Siwei Feng, Boyang Li, Han Yu, Yang Liu, Qiang Yang:
Semi-Supervised Federated Heterogeneous Transfer Learning. Knowl. Based Syst. 252: 109384 (2022) - [j179]Lixin Fan, Kam Woh Ng, Chee Seng Chan, Qiang Yang:
DeepIPR: Deep Neural Network Ownership Verification With Passports. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6122-6139 (2022) - [j178]Jian Han Lim, Chee Seng Chan, Kam Woh Ng, Lixin Fan, Qiang Yang:
Protect, show, attend and tell: Empowering image captioning models with ownership protection. Pattern Recognit. 122: 108285 (2022) - [j177]Qiang Yang, Yongxin Tong, Yang Liu, Yangqiu Song, Hao Peng, Boi Faltings:
Introduction to the Special Issue on the Federated Learning: Algorithms, Systems, and Applications: Part 1. ACM Trans. Intell. Syst. Technol. 13(4): 52:1-52:3 (2022) - [j176]Di Chai, Leye Wang, Kai Chen, Qiang Yang:
Efficient Federated Matrix Factorization Against Inference Attacks. ACM Trans. Intell. Syst. Technol. 13(4): 59:1-59:20 (2022) - [j175]Qiang Yang, Yongxin Tong, Yang Liu, Yangqiu Song, Hao Peng, Boi Faltings:
Preface to Federated Learning: Algorithms, Systems, and Applications: Part 2. ACM Trans. Intell. Syst. Technol. 13(5): 69:1-69:2 (2022) - [j174]Yu Zhang, Qiang Yang:
A Survey on Multi-Task Learning. IEEE Trans. Knowl. Data Eng. 34(12): 5586-5609 (2022) - [j173]Yang Liu, Xinwei Zhang, Yan Kang, Liping Li, Tianjian Chen, Mingyi Hong, Qiang Yang:
FedBCD: A Communication-Efficient Collaborative Learning Framework for Distributed Features. IEEE Trans. Signal Process. 70: 4277-4290 (2022) - [c347]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 - [c346]Yinghua Zhang, Yangqiu Song, Kun Bai, Qiang Yang:
Cross-domain Cross-architecture Black-box Attacks on Fine-tuned Models with Transferred Evolutionary Strategies. CIKM 2022: 2661-2670 - [c345]Mengjing Chen, Yang Liu, Weiran Shen, Yiheng Shen, Pingzhong Tang, Qiang Yang:
A Mechanism Design Approach for Multi-party Machine Learning. FAW 2022: 248-268 - [c344]Liu Yang, Junxue Zhang, Di Chai, Leye Wang, Kun Guo, Kai Chen, Qiang Yang:
Practical and Secure Federated Recommendation with Personalized Mask. FL@IJCAI 2022: 33-45 - [c343]Yuezhou Wu, Yan Kang, Jiahuan Luo, Yuanqin He, Lixin Fan, Rong Pan, Qiang Yang:
FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning. IJCAI 2022: 2334-2340 - [c342]Di Jiang, Yuan Cao, Qiang Yang:
On the Channel Pruning using Graph Convolution Network for Convolutional Neural Network Acceleration. IJCAI 2022: 3107-3113 - [c341]Di Chai, Leye Wang, Junxue Zhang, Liu Yang, Shuowei Cai, Kai Chen, Qiang Yang:
Practical Lossless Federated Singular Vector Decomposition over Billion-Scale Data. KDD 2022: 46-55 - [c340]Yilun Jin, Kai Chen, Qiang Yang:
Selective Cross-City Transfer Learning for Traffic Prediction via Source City Region Re-Weighting. KDD 2022: 731-741 - [c339]Han Tian, Chaoliang Zeng, Zhenghang Ren, Di Chai, Junxue Zhang, Kai Chen, Qiang Yang:
Sphinx: Enabling Privacy-Preserving Online Learning over the Cloud. IEEE Symposium on Security and Privacy 2022: 2487-2501 - [i100]Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato, Xianbin Cao, Chunyan Miao, Sumei Sun, Qiang Yang:
Realizing the Metaverse with Edge Intelligence: A Match Made in Heaven. CoRR abs/2201.01634 (2022) - [i99]Minrui Xu, Wei Chong Ng, Wei Yang Bryan Lim, Jiawen Kang, Zehui Xiong, Dusit Niyato, Qiang Yang, Xuemin Sherman Shen, Chunyan Miao:
A Full Dive into Realizing the Edge-enabled Metaverse: Visions, Enabling Technologies, and Challenges. CoRR abs/2203.05471 (2022) - [i98]Xiaojin Zhang, Hanlin Gu, Lixin Fan, Kai Chen, Qiang Yang:
No Free Lunch Theorem for Security and Utility in Federated Learning. CoRR abs/2203.05816 (2022) - [i97]Nannan Wu, Ning Zhang, Wenjun Wang, Lixin Fan, Qiang Yang:
FadMan: Federated Anomaly Detection across Multiple Attributed Networks. CoRR abs/2205.14196 (2022) - [i96]Xueyang Wu, Shengqi Tan, Qian Xu, Qiang Yang:
WrapperFL: A Model Agnostic Plug-in for Industrial Federated Learning. CoRR abs/2206.10407 (2022) - [i95]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) - [i94]Yichi Zhang, Chao Zhang, Cai Zhang, Lixin Fan, Bei Zeng, Qiang Yang:
Federated Learning with Quantum Secure Aggregation. CoRR abs/2207.07444 (2022) - [i93]Dongqi Cai, Tao Fan, Yan Kang, Lixin Fan, Mengwei Xu, Shangguang Wang, Qiang Yang:
Accelerating Vertical Federated Learning. CoRR abs/2207.11456 (2022) - [i92]Yuanqin He, Yan Kang, Jiahuan Luo, Lixin Fan, Qiang Yang:
A Hybrid Self-Supervised Learning Framework for Vertical Federated Learning. CoRR abs/2208.08934 (2022) - [i91]Yinghua Zhang, Yangqiu Song, Kun Bai, Qiang Yang:
Cross-domain Cross-architecture Black-box Attacks on Fine-tuned Models with Transferred Evolutionary Strategies. CoRR abs/2208.13182 (2022) - [i90]Xiaojin Zhang, Yan Kang, Kai Chen, Lixin Fan, Qiang Yang:
Trading Off Privacy, Utility and Efficiency in Federated Learning. CoRR abs/2209.00230 (2022) - [i89]Yan Kang, Jiahuan Luo, Yuanqin He, Xiaojin Zhang, Lixin Fan, Qiang Yang:
A Framework for Evaluating Privacy-Utility Trade-off in Vertical Federated Learning. CoRR abs/2209.03885 (2022) - [i88]Shuo Shao, Wenyuan Yang, Hanlin Gu, Jian Lou, Zhan Qin, Lixin Fan, Qiang Yang, Kui Ren:
FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model. CoRR abs/2211.07160 (2022) - [i87]Yang Liu, Yan Kang, Tianyuan Zou, Yanhong Pu, Yuanqin He, Xiaozhou Ye, Ye Ouyang, Ya-Qin Zhang, Qiang Yang:
Vertical Federated Learning. CoRR abs/2211.12814 (2022) - [i86]Hanlin Gu, Lixin Fan, Xingxing Tang, Qiang Yang:
FedCut: A Spectral Analysis Framework for Reliable Detection of Byzantine Colluders. CoRR abs/2211.13389 (2022) - 2021
- [j172]Yang Liu, Anbu Huang, Yun Luo, He Huang, Youzhi Liu, Yuanyuan Chen, Lican Feng, Tianjian Chen, Han Yu, Qiang Yang:
Federated Learning-Powered Visual Object Detection for Safety Monitoring. AI Mag. 42(2): 19-27 (2021) - [j171]Shaoqi Chen, Dongyu Xue, Guohui Chuai, Qiang Yang, Qi Liu:
FL-QSAR: a federated learning-based QSAR prototype for collaborative drug discovery. Bioinform. 36(22-23): 5492-5498 (2021) - [j170]Wenyi Xiao, Huan Zhao, Haojie Pan, Yangqiu Song, Vincent W. Zheng, Qiang Yang:
Social explorative attention based recommendation for content distribution platforms. Data Min. Knowl. Discov. 35(2): 533-567 (2021) - [j169]Junxiao Ge, Bin Liu, Tian Wang, Qiang Yang, Anfeng Liu, Ang Li:
Q-learning based flexible task scheduling in a global view for the Internet of Things. Trans. Emerg. Telecommun. Technol. 32(8) (2021) - [j168]Di Chai, Leye Wang, Kai Chen, Qiang Yang:
Secure Federated Matrix Factorization. IEEE Intell. Syst. 36(5): 11-20 (2021) - [j167]Kewei Cheng, Tao Fan, Yilun Jin, Yang Liu, Tianjian Chen, Dimitrios Papadopoulos, Qiang Yang:
SecureBoost: A Lossless Federated Learning Framework. IEEE Intell. Syst. 36(6): 87-98 (2021) - [j166]Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Hubert Eichner, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Hang Qi, Daniel Ramage, Ramesh Raskar, Mariana Raykova, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao:
Advances and Open Problems in Federated Learning. Found. Trends Mach. Learn. 14(1-2): 1-210 (2021) - [j165]Xiang Zhang, Qiang Yang:
Correction to: Transfer Hierarchical Attention Network for Generative Dialog System. Int. J. Autom. Comput. 18(5): 856 (2021) - [j164]Longbing Cao, Qiang Yang, Philip S. Yu:
Data science and AI in FinTech: an overview. Int. J. Data Sci. Anal. 12(2): 81-99 (2021) - [j163]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) - [j162]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) - [j161]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) - [j160]Anbu Huang, Yang Liu, Tianjian Chen, Yongkai Zhou, Quan Sun, Hongfeng Chai, Qiang Yang:
StarFL: Hybrid Federated Learning Architecture for Smart Urban Computing. ACM Trans. Intell. Syst. Technol. 12(4): 43:1-43:23 (2021) - [c338]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 - [c337]Danqing Zhang, Zheng Li, Tianyu Cao, Chen Luo, Tony Wu, Hanqing Lu, Yiwei Song, Bing Yin, Tuo Zhao, Qiang Yang:
QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value Extraction. CIKM 2021: 4362-4372 - [c336]Ding Sheng Ong, Chee Seng Chan, Kam Woh Ng, Lixin Fan, Qiang Yang:
Protecting Intellectual Property of Generative Adversarial Networks From Ambiguity Attacks. CVPR 2021: 3630-3639 - [c335]Guangneng Hu, Qiang Yang:
TrNews: Heterogeneous User-Interest Transfer Learning for News Recommendation. EACL 2021: 734-744 - [c334]Dingyuan Shi, Yongxin Tong, Zimu Zhou, Bingchen Song, Weifeng Lv, Qiang Yang:
Learning to Assign: Towards Fair Task Assignment in Large-Scale Ride Hailing. KDD 2021: 3549-3557 - [c333]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 - [c332]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 - [c331]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 - [e21]Susanne Biundo, Minh Do, Robert Goldman, Michael Katz, Qiang Yang, Hankz Hankui Zhuo:
Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling, ICAPS 2021, Guangzhou, China (virtual), August 2-13, 2021. AAAI Press 2021, ISBN 978-1-57735-867-1 [contents] - [i85]Guangneng Hu, Qiang Yang:
TrNews: Heterogeneous User-Interest Transfer Learning for News Recommendation. CoRR abs/2101.05611 (2021) - [i84]Xinle Liang, Yang Liu, Jiahuan Luo, Yuanqin He, Tianjian Chen, Qiang Yang:
Self-supervised Cross-silo Federated Neural Architecture Search. CoRR abs/2101.11896 (2021) - [i83]Ding Sheng Ong, Chee Seng Chan, Kam Woh Ng, Lixin Fan, Qiang Yang:
Protecting Intellectual Property of Generative Adversarial Networks from Ambiguity Attack. CoRR abs/2102.04362 (2021) - [i82]Jer Shyuan Ng, Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato, Cyril Leung, Dong In Kim, Junshan Zhang, Qiang Yang:
A Game-theoretic Approach Towards Collaborative Coded Computation Offloading. CoRR abs/2102.08667 (2021) - [i81]Alysa Ziying Tan, Han Yu, Lizhen Cui, Qiang Yang:
Towards Personalized Federated Learning. CoRR abs/2103.00710 (2021) - [i80]Chang Liu, Lixin Fan, Kam Woh Ng, Yilun Jin, Ce Ju, Tianyu Zhang, Chee Seng Chan, Qiang Yang:
Ternary Hashing. CoRR abs/2103.09173 (2021) - [i79]Di Chai, Leye Wang, Lianzhi Fu, Junxue Zhang, Kai Chen, Qiang Yang:
Federated Singular Vector Decomposition. CoRR abs/2105.08925 (2021) - [i78]Xu Geng, Yilun Jin, Zhengfei Zheng, Yu Yang, Yexin Li, Han Tian, Peibo Duan, Leye Wang, Jiannong Cao, Hai Yang, Qiang Yang, Kai Chen:
CityNet: A Multi-city Multi-modal Dataset for Smart City Applications. CoRR abs/2106.15802 (2021) - [i77]Jiaqian Ren, Hao Peng, Lei Jiang, Jia Wu, Yongxin Tong, Lihong Wang, Xu Bai, Bo Wang, Qiang Yang:
Transferring Knowledge Distillation for Multilingual Social Event Detection. CoRR abs/2108.03084 (2021) - [i76]Danqing Zhang, Zheng Li, Tianyu Cao, Chen Luo, Tony Wu, Hanqing Lu, Yiwei Song, Bing Yin, Tuo Zhao, Qiang Yang:
QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value Extraction. CoRR abs/2108.08468 (2021) - [i75]Liu Yang, Ben Tan, Bo Liu, Vincent W. Zheng, Kai Chen, Qiang Yang:
Practical and Secure Federated Recommendation with Personalized Masks. CoRR abs/2109.02464 (2021) - [i74]Hanlin Gu, Lixin Fan, Bowen Li, Yan Kang, Yuan Yao, Qiang Yang:
Federated Deep Learning with Bayesian Privacy. CoRR abs/2109.13012 (2021) - [i73]Lixin Fan, Bowen Li, Hanlin Gu, Jie Li, Qiang Yang:
FedIPR: Ownership Verification for Federated Deep Neural Network Models. CoRR abs/2109.13236 (2021) - [i72]Yuezhou Wu, Yan Kang, Jiahuan Luo, Yuanqin He, Qiang Yang:
FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning. CoRR abs/2111.08211 (2021) - [i71]Yang Liu, Zhihao Yi, Yan Kang, Yuanqin He, Wenhan Liu, Tianyuan Zou, Qiang Yang:
Defending Label Inference and Backdoor Attacks in Vertical Federated Learning. CoRR abs/2112.05409 (2021) - [i70]Huiming Chen, Huandong Wang, Quanming Yao, Yong Li, Depeng Jin, Qiang Yang:
LoSAC: An Efficient Local Stochastic Average Control Method for Federated Optimization. CoRR abs/2112.07839 (2021) - 2020
- [j159]Yongqing Zheng, Han Yu, Lizhen Cui, Chunyan Miao, Cyril Leung, Yang Liu, Qiang Yang:
Addressing the Challenges of Government Service Provision with AI. AI Mag. 41(1): 33-43 (2020) - [j158]Yong Cheng, Yang Liu, Tianjian Chen, Qiang Yang:
Federated learning for privacy-preserving AI. Commun. ACM 63(12): 33-36 (2020) - [j157]Wei Yang Bryan Lim, Nguyen Cong Luong, Dinh Thai Hoang, Yutao Jiao, Ying-Chang Liang, Qiang Yang, Dusit Niyato, Chunyan Miao:
Federated Learning in Mobile Edge Networks: A Comprehensive Survey. IEEE Commun. Surv. Tutorials 22(3): 2031-2063 (2020) - [j156]Yang Liu, Han Yu, Qiang Yang:
Introduction to the Special Issue on Federated Machine Learning. IEEE Intell. Syst. 35(4): 3-4 (2020) - [j155]Han Yu, Zelei Liu, Yang Liu, Tianjian Chen, Mingshu Cong, Xi Weng, Dusit Niyato, Qiang Yang:
A Sustainable Incentive Scheme for Federated Learning. IEEE Intell. Syst. 35(4): 58-69 (2020) - [j154]Yang Liu, Yan Kang, Chaoping Xing, Tianjian Chen, Qiang Yang:
A Secure Federated Transfer Learning Framework. IEEE Intell. Syst. 35(4): 70-82 (2020) - [j153]Wei Yang Bryan Lim, Zehui Xiong, Chunyan Miao, Dusit Niyato, Qiang Yang, Cyril Leung, H. Vincent Poor:
Hierarchical Incentive Mechanism Design for Federated Machine Learning in Mobile Networks. IEEE Internet Things J. 7(10): 9575-9588 (2020) - [j152]Qiang Yang:
Message From the Outgoing Editor-in-Chief. IEEE Trans. Big Data 6(1): 1 (2020) - [j151]Jindong Wang, Yiqiang Chen, Wenjie Feng, Han Yu, Meiyu Huang, Qiang Yang:
Transfer Learning with Dynamic Distribution Adaptation. ACM Trans. Intell. Syst. Technol. 11(1): 6:1-6:25 (2020) - [c330]Yang Liu, Anbu Huang, Yun Luo, He Huang, Youzhi Liu, Yuanyuan Chen, Lican Feng, Tianjian Chen, Han Yu, Qiang Yang:
FedVision: An Online Visual Object Detection Platform Powered by Federated Learning. AAAI 2020: 13172-13179 - [c329]Han Yu, Zelei Liu, Yang Liu, Tianjian Chen, Mingshu Cong, Xi Weng, Dusit Niyato, Qiang Yang:
A Fairness-aware Incentive Scheme for Federated Learning. AIES 2020: 393-399 - [c328]Lixin Fan, Chang Liu, Yuhao Zhou, Tianyu Zhang, Qiang Yang:
Interpreting and Evaluating Black Box Models in a Customizable Way. IEEE BigData 2020: 5435-5440 - [c327]Yexin Li, Yu Zheng, Qiang Yang:
Cooperative Multi-Agent Reinforcement Learning in Express System. CIKM 2020: 805-814 - [c326]Anbu Huang, Yuanyuan Chen, Yang Liu, Tianjian Chen, Qiang Yang:
RPN: A Residual Pooling Network for Efficient Federated Learning. ECAI 2020: 1223-1229 - [c325]Zheng Li, Mukul Kumar, William Headden, Bing Yin, Ying Wei, Yu Zhang, Qiang Yang:
Learn to Cross-lingual Transfer with Meta Graph Learning Across Heterogeneous Languages. EMNLP (1) 2020: 2290-2301 - [c324]Guangneng Hu, Qiang Yang:
PrivNet: Safeguarding Private Attributes in Transfer Learning for Recommendation. EMNLP (Findings) 2020: 4506-4516 - [c323]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 - [c322]Kang Loon Ng, Zichen Chen, Zelei Liu, Han Yu, Yang Liu, Qiang Yang:
A Multi-player Game for Studying Federated Learning Incentive Schemes. IJCAI 2020: 5279-5281 - [c321]Yinghua Zhang, Yangqiu Song, Jian Liang, Kun Bai, Qiang Yang:
Two Sides of the Same Coin: White-box and Black-box Attacks for Transfer Learning. KDD 2020: 2989-2997 - [c320]Rishabh Mehrotra, Ben Carterette, Yong Li, Quanming Yao, Chen Gao, James T. Kwok, Qiang Yang, Isabelle Guyon:
Advances in Recommender Systems: From Multi-stakeholder Marketplaces to Automated RecSys. KDD 2020: 3533-3534 - [c319]Yuanfeng Song, Di Jiang,