Yang Liu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 77

Top Topics

Mechanism Design

Autonomous Driving

Top Venues

ACM Trans. Intell. Syst. Technol.

IEEE Intell. Syst.

Publications

Zinan Zheng, Yang Liu, Jia Li, Jianhua Yao, Yu Rong
Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Physical Dynamics Learning. CoRR (2024)
Guan Wang, Sijie Cheng, Xianyuan Zhan, Xiangang Li, Sen Song, Yang Liu
OpenChat: Advancing Open-source Language Models with Mixed-Quality Data. ICLR (2024)
Zihao Zhao, Yuzhu Mao, Zhenpeng Shi, Yang Liu, Tian Lan, Wenbo Ding, Xiao-Ping Zhang
AQUILA: Communication Efficient Federated Learning With Adaptive Quantization in Device Selection Strategy. IEEE Trans. Mob. Comput. 23 (6) (2024)
Meilin Yang, Jian Xu, Wenbo Ding, Yang Liu
FedHAP: Federated Hashing With Global Prototypes for Cross-Silo Retrieval. IEEE Trans. Parallel Distributed Syst. 35 (4) (2024)
Yuzhu Mao, Zihao Zhao, Meilin Yang, Le Liang, Yang Liu, Wenbo Ding, Tian Lan, Xiao-Ping Zhang
SAFARI: Sparsity-Enabled Federated Learning With Limited and Unreliable Communications. IEEE Trans. Mob. Comput. 23 (5) (2024)
Yang Liu, Yan Kang, Tianyuan Zou, Yanhong Pu, Yuanqin He, Xiaozhou Ye, Ye Ouyang, Ya-Qin Zhang, Qiang Yang
Vertical Federated Learning: Concepts, Advances, and Challenges. IEEE Trans. Knowl. Data Eng. 36 (7) (2024)
Haihong Zhao, Chenyi Zi, Yang Liu, Chen Zhang, Yan Zhou, Jia Li
Weakly Supervised Anomaly Detection via Knowledge-Data Alignment. WWW (2024)
Mengjing Chen, Yang Liu, Weiran Shen, Yiheng Shen, Pingzhong Tang, Qiang Yang
A mechanism design approach for multi-party machine learning. Theor. Comput. Sci. 1003 (2024)
Yuzhu Mao, Siqi Ping, Zihao Zhao, Yang Liu, Wenbo Ding
Enhancing Parameter Efficiency and Generalization in Large-Scale Models: A Regularized and Masked Low-Rank Adaptation Approach. CoRR (2024)
Tianyuan Zou, Zixuan Gu, Yu He, Hideaki Takahashi, Yang Liu, Ya-Qin Zhang
VFLAIR: A Research Library and Benchmark for Vertical Federated Learning. ICLR (2024)
Siqi Ping, Yuzhu Mao, Yang Liu, Xiao-Ping Zhang, Wenbo Ding
FL-TAC: Enhanced Fine-Tuning in Federated Learning via Low-Rank, Task-Specific Adapter Clustering. CoRR (2024)
Zinan Zheng, Yang Liu, Jia Li, Jianhua Yao, Yu Rong
Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Broad Physical Dynamics Learning. KDD (2024)
Yongheng Deng, Ju Ren, Cheng Tang, Feng Lyu, Yang Liu, Yaoxue Zhang
A Hierarchical Knowledge Transfer Framework for Heterogeneous Federated Learning. INFOCOM (2023)
Zihao Zhao, Yuzhu Mao, Yang Liu, Linqi Song, Ye Ouyang, Xinlei Chen, Wenbo Ding
Towards efficient communications in federated learning: A contemporary survey. J. Frankl. Inst. 360 (12) (2023)
Sichun Luo, Yuanzhang Xiao, Xinyi Zhang, Yang Liu, Wenbo Ding, Linqi Song
PerFedRec++: Enhancing Personalized Federated Recommendation with Self-Supervised Pre-Training. CoRR (2023)
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) (2023)
Tengyun Wang, Haizhi Yang, Yang Liu, Han Yu, Hengjie Song
A multimodal approach for improving market price estimation in online advertising. Knowl. Based Syst. 266 (2023)
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) (2022)
Yang Liu, Yan Kang, Tianyuan Zou, Yanhong Pu, Yuanqin He, Xiaozhou Ye, Ye Ouyang, Ya-Qin Zhang, Qiang Yang
Vertical Federated Learning. CoRR (2022)
Jeffry Wicaksana, Zengqiang Yan, Xin Yang, Yang Liu, Lixin Fan, Kwang-Ting Cheng
Customized Federated Learning for Multi-Source Decentralized Medical Image Classification. IEEE J. Biomed. Health Informatics 26 (11) (2022)
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 (2022)
Jianping Cai, Yang Liu, Ximeng Liu, Jiayin Li, Hongbin Zhuang
Privacy-Preserving Federated Cross-Domain Social Recommendation. FL@IJCAI (2022)
Zelei Liu, Yuanyuan Chen, Han Yu, Yang Liu, Lizhen Cui
GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning. ACM Trans. Intell. Syst. Technol. 13 (4) (2022)
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) (2022)
Siwei Feng, Boyang Li, Han Yu, Yang Liu, Qiang Yang
Semi-Supervised Federated Heterogeneous Transfer Learning. Knowl. Based Syst. 252 (2022)
Yan Kang, Yang Liu, Xinle Liang
FedCVT: Semi-supervised Vertical Federated Learning with Cross-view Training. ACM Trans. Intell. Syst. Technol. 13 (4) (2022)
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)
Mengjing Chen, Yang Liu, Weiran Shen, Yiheng Shen, Pingzhong Tang, Qiang Yang
A Mechanism Design Approach for Multi-party Machine Learning. FAW (2022)
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 (2021)
Xinle Liang, Yang Liu, Jiahuan Luo, Yuanqin He, Tianjian Chen, Qiang Yang
Self-supervised Cross-silo Federated Neural Architecture Search. CoRR (2021)
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) (2021)
Xinwei Zhang, Mingyi Hong, Sairaj V. Dhople, Wotao Yin, Yang Liu
FedPD: A Federated Learning Framework With Adaptivity to Non-IID Data. IEEE Trans. Signal Process. 69 (2021)
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 (2021)
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) (2021)
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) (2021)
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) (2021)
Chang'an Yi, Yonghui Xu, Han Yu, Yuguang Yan, Yang Liu
Multi-component transfer metric learning for handling unrelated source domain samples. Knowl. Based Syst. 203 (2020)
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) (2020)
Suyi Li, Yong Cheng, Wei Wang, Yang Liu, Tianjian Chen
Learning to Detect Malicious Clients for Robust Federated Learning. CoRR (2020)
Yang Liu, Yan Kang, Chaoping Xing, Tianjian Chen, Qiang Yang
A Secure Federated Transfer Learning Framework. IEEE Intell. Syst. 35 (4) (2020)
Yong Cheng, Yang Liu, Tianjian Chen, Qiang Yang
Federated learning for privacy-preserving AI. Commun. ACM 63 (12) (2020)
Ce Ju, Ruihui Zhao, Jichao Sun, Xiguang Wei, Bo Zhao, Yang Liu, Hongshan Li, Tianjian Chen, Xinwei Zhang, Dashan Gao, Ben Tan, Han Yu, Yuan Jin
Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention. CoRR (2020)
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)
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)
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)
Xianhua Niu, Chaoping Xing, Yang Liu, Liang Zhou
A Construction of Optimal Frequency Hopping Sequence Set via Combination of Multiplicative and Additive Groups of Finite Fields. IEEE Trans. Inf. Theory 66 (8) (2020)
Yang Liu, Zhihao Yi, Tianjian Chen
Backdoor attacks and defenses in feature-partitioned collaborative learning. CoRR (2020)
Mingshu Cong, Han Yu, Xi Weng, Jiabao Qu, Yang Liu, Siu-Ming Yiu
A VCG-based Fair Incentive Mechanism for Federated Learning. CoRR (2020)
Mengjing Chen, Yang Liu, Weiran Shen, Yiheng Shen, Pingzhong Tang, Qiang Yang
Mechanism Design for Multi-Party Machine Learning. CoRR (2020)
Chengliang Zhang, Suyi Li, Junzhe Xia, Wei Wang, Feng Yan, Yang Liu
BatchCrypt: Efficient Homomorphic Encryption for Cross-Silo Federated Learning. USENIX Annual Technical Conference (2020)
Yang Liu, Han Yu, Qiang Yang
Introduction to the Special Issue on Federated Machine Learning. IEEE Intell. Syst. 35 (4) (2020)
Ce Ju, Dashan Gao, Ravikiran Mane, Ben Tan, Yang Liu, Cuntai Guan
Federated Transfer Learning for EEG Signal Classification. EMBC (2020)
Anbu Huang, Yuanyuan Chen, Yang Liu, Tianjian Chen, Qiang Yang
RPN: A Residual Pooling Network for Efficient Federated Learning. ECAI (2020)
Yilun Jin, Xiguang Wei, Yang Liu, Qiang Yang
A Survey towards Federated Semi-supervised Learning. CoRR (2020)
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) (2020)
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. CoRR (2020)
Ce Ju, Dashan Gao, Ravikiran Mane, Ben Tan, Yang Liu, Cuntai Guan
Federated Transfer Learning for EEG Signal Classification. CoRR (2020)
Anbu Huang, Yuanyuan Chen, Yang Liu, Tianjian Chen, Qiang Yang
RPN: A Residual Pooling Network for Efficient Federated Learning. CoRR (2020)
Yan Kang, Yang Liu, Tianjian Chen
FedMVT: Semi-supervised Vertical Federated Learning with MultiView Training. CoRR (2020)
Xinwei Zhang, Mingyi Hong, Sairaj V. Dhople, Wotao Yin, Yang Liu
FedPD: A Federated Learning Framework with Optimal Rates and Adaptivity to Non-IID Data. CoRR (2020)
Xinle Liang, Yang Liu, Tianjian Chen, Ming Liu, Qiang Yang
Federated Transfer Reinforcement Learning for Autonomous Driving. CoRR (2019)
Kewei Cheng, Tao Fan, Yilun Jin, Yang Liu, Tianjian Chen, Qiang Yang
SecureBoost: A Lossless Federated Learning Framework. CoRR (2019)
Dashan Gao, Ce Ju, Xiguang Wei, Yang Liu, Tianjian Chen, Qiang Yang
HHHFL: Hierarchical Heterogeneous Horizontal Federated Learning for Electroencephalography. CoRR (2019)
Jiahuan Luo, Xueyang Wu, Yun Luo, Anbu Huang, Yunfeng Huang, Yang Liu, Qiang Yang
Real-World Image Datasets for Federated Learning. CoRR (2019)
Shreya Sharma, Chaoping Xing, Yang Liu, Yan Kang
Secure and Efficient Federated Transfer Learning. CoRR (2019)
Yang Liu, Yan Kang, Xinwei Zhang, Liping Li, Yong Cheng, Tianjian Chen, Mingyi Hong, Qiang Yang
A Communication Efficient Vertical Federated Learning Framework. CoRR (2019)
Suyi Li, Yong Cheng, Yang Liu, Wei Wang, Tianjian Chen
Abnormal Client Behavior Detection in Federated Learning. CoRR (2019)
Tengyun Wang, Haizhi Yang, Han Yu, Wenjun Zhou, Yang Liu, Hengjie Song
A Revenue-Maximizing Bidding Strategy for Demand-Side Platforms. IEEE Access 7 (2019)
Shreya Sharma, Chaoping Xing, Yang Liu, Yan Kang
Secure and Efficient Federated Transfer Learning. IEEE BigData (2019)
Qiang Yang, Yang Liu, Tianjian Chen, Yongxin Tong
Federated Machine Learning: Concept and Applications. CoRR (2019)
Jun Zhao, Teng Wang, Tao Bai, Kwok-Yan Lam, Xuebin Ren, Xinyu Yang, Shuyu Shi, Yang Liu, Han Yu
Reviewing and Improving the Gaussian Mechanism for Differential Privacy. CoRR (2019)
Qiang Yang, Yang Liu, Tianjian Chen, Yongxin Tong
Federated Machine Learning: Concept and Applications. ACM Trans. Intell. Syst. Technol. 10 (2) (2019)
Dashan Gao, Yang Liu, Anbu Huang, Ce Ju, Han Yu, Qiang Yang
Privacy-preserving Heterogeneous Federated Transfer Learning. IEEE BigData (2019)
Xiguang Wei, Quan Li, Yang Liu, Han Yu, Tianjian Chen, Qiang Yang
Multi-Agent Visualization for Explaining Federated Learning. IJCAI (2019)
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, 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, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, 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. CoRR (2019)
Han Yu, Yang Liu, Xiguang Wei, Chuyu Zheng, Tianjian Chen, Qiang Yang, Xiong Peng
Fair and Explainable Dynamic Engagement of Crowd Workers. IJCAI (2019)
Yang Liu, Tianjian Chen, Qiang Yang
Secure Federated Transfer Learning. CoRR (2018)