Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox
Picture for Han Yu

Han Yu

Modality Fusion Network and Personalized Attention in Momentary Stress Detection in the Wild


Jul 21, 2021
Han Yu, Thomas Vaessen, Inez Myin-Germeys, Akane Sano

Figure 1 for Modality Fusion Network and Personalized Attention in Momentary Stress Detection in the Wild
Figure 2 for Modality Fusion Network and Personalized Attention in Momentary Stress Detection in the Wild
Figure 3 for Modality Fusion Network and Personalized Attention in Momentary Stress Detection in the Wild
Figure 4 for Modality Fusion Network and Personalized Attention in Momentary Stress Detection in the Wild

  Access Paper or Ask Questions

Forecasting Health and Wellbeing for Shift Workers Using Job-role Based Deep Neural Network


Jun 22, 2021
Han Yu, Asami Itoh, Ryota Sakamoto, Motomu Shimaoka, Akane Sano

Figure 1 for Forecasting Health and Wellbeing for Shift Workers Using Job-role Based Deep Neural Network
Figure 2 for Forecasting Health and Wellbeing for Shift Workers Using Job-role Based Deep Neural Network
Figure 3 for Forecasting Health and Wellbeing for Shift Workers Using Job-role Based Deep Neural Network
Figure 4 for Forecasting Health and Wellbeing for Shift Workers Using Job-role Based Deep Neural Network
* In: Wireless Mobile Communication and Healthcare. MobiHealth 2020 
  Access Paper or Ask Questions

Topological Pilot Assignment in Large-Scale Distributed MIMO Networks


May 26, 2021
Han Yu, Xinping Yi, Giuseppe Caire

Figure 1 for Topological Pilot Assignment in Large-Scale Distributed MIMO Networks
Figure 2 for Topological Pilot Assignment in Large-Scale Distributed MIMO Networks
Figure 3 for Topological Pilot Assignment in Large-Scale Distributed MIMO Networks
Figure 4 for Topological Pilot Assignment in Large-Scale Distributed MIMO Networks

  Access Paper or Ask Questions

Downlink Precoding for DP-UPA FDD Massive MIMO via Multi-Dimensional Active Channel Sparsification


Apr 27, 2021
Han Yu, Xinping Yi, Giuseppe Caire

Figure 1 for Downlink Precoding for DP-UPA FDD Massive MIMO via Multi-Dimensional Active Channel Sparsification
Figure 2 for Downlink Precoding for DP-UPA FDD Massive MIMO via Multi-Dimensional Active Channel Sparsification
Figure 3 for Downlink Precoding for DP-UPA FDD Massive MIMO via Multi-Dimensional Active Channel Sparsification
Figure 4 for Downlink Precoding for DP-UPA FDD Massive MIMO via Multi-Dimensional Active Channel Sparsification

  Access Paper or Ask Questions

Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection


Apr 19, 2021
Xu Guo, Boyang Li, Han Yu, Chunyan Miao

Figure 1 for Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection
Figure 2 for Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection
Figure 3 for Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection
Figure 4 for Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection
* 14 pages, 5 figures, NAACL conference 
  Access Paper or Ask Questions

Noise-resistant Deep Metric Learning with Ranking-based Instance Selection


Apr 12, 2021
Chang Liu, Han Yu, Boyang Li, Zhiqi Shen, Zhanning Gao, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao

Figure 1 for Noise-resistant Deep Metric Learning with Ranking-based Instance Selection
Figure 2 for Noise-resistant Deep Metric Learning with Ranking-based Instance Selection
Figure 3 for Noise-resistant Deep Metric Learning with Ranking-based Instance Selection
Figure 4 for Noise-resistant Deep Metric Learning with Ranking-based Instance Selection
* Accepted by CVPR 2021 
  Access Paper or Ask Questions

HYDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks


Mar 01, 2021
Yuanyuan Chen, Boyang Li, Han Yu, Pengcheng Wu, Chunyan Miao

Figure 1 for HYDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks
Figure 2 for HYDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks
Figure 3 for HYDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks
Figure 4 for HYDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks

  Access Paper or Ask Questions

Towards Personalized Federated Learning


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

Figure 1 for Towards Personalized Federated Learning

  Access Paper or Ask Questions

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

Figure 1 for Privacy and Robustness in Federated Learning: Attacks and Defenses
Figure 2 for Privacy and Robustness in Federated Learning: Attacks and Defenses
Figure 3 for Privacy and Robustness in Federated Learning: Attacks and Defenses
Figure 4 for Privacy and Robustness in Federated Learning: Attacks and Defenses
* arXiv admin note: text overlap with arXiv:2003.02133; text overlap with arXiv:1911.11815 by other authors 
  Access Paper or Ask Questions

Federated Crowdsensing: Framework and Challenges


Nov 06, 2020
Leye Wang, Han Yu, Xiao Han

Figure 1 for Federated Crowdsensing: Framework and Challenges
Figure 2 for Federated Crowdsensing: Framework and Challenges

  Access Paper or Ask Questions

SCNet: A Neural Network for Automated Side-Channel Attack


Aug 02, 2020
Guanlin Li, Chang Liu, Han Yu, Yanhong Fan, Libang Zhang, Zongyue Wang, Meiqin Wang

Figure 1 for SCNet: A Neural Network for Automated Side-Channel Attack
Figure 2 for SCNet: A Neural Network for Automated Side-Channel Attack
Figure 3 for SCNet: A Neural Network for Automated Side-Channel Attack
Figure 4 for SCNet: A Neural Network for Automated Side-Channel Attack

  Access Paper or Ask Questions

Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention


Jun 15, 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

Figure 1 for Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention
Figure 2 for Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention
Figure 3 for Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention
Figure 4 for Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention
* 4 pages, 3 figures, 1 table, Accepted for Workshop on Federated Learning for Data Privacy and Confidentiality in Conjunction with IJCAI 2020 (FL-IJCAI'20) 
  Access Paper or Ask Questions

Threats to Federated Learning: A Survey


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

Figure 1 for Threats to Federated Learning: A Survey
Figure 2 for Threats to Federated Learning: A Survey
Figure 3 for Threats to Federated Learning: A Survey
Figure 4 for Threats to Federated Learning: A Survey
* 7 pages, 4 figures, 2 tables 
  Access Paper or Ask Questions

FedCoin: A Peer-to-Peer Payment System for Federated Learning


Feb 26, 2020
Yuan Liu, Shuai Sun, Zhengpeng Ai, Shuangfeng Zhang, Zelei Liu, Han Yu

Figure 1 for FedCoin: A Peer-to-Peer Payment System for Federated Learning
Figure 2 for FedCoin: A Peer-to-Peer Payment System for Federated Learning
Figure 3 for FedCoin: A Peer-to-Peer Payment System for Federated Learning
Figure 4 for FedCoin: A Peer-to-Peer Payment System for Federated Learning
* 7 pages, 6 figures,21 references 
  Access Paper or Ask Questions

Multi-Participant Multi-Class Vertical Federated Learning


Jan 30, 2020
Siwei Feng, Han Yu

Figure 1 for Multi-Participant Multi-Class Vertical Federated Learning
Figure 2 for Multi-Participant Multi-Class Vertical Federated Learning
Figure 3 for Multi-Participant Multi-Class Vertical Federated Learning
Figure 4 for Multi-Participant Multi-Class Vertical Federated Learning

  Access Paper or Ask Questions

FOCUS: Dealing with Label Quality Disparity in Federated Learning


Jan 29, 2020
Yiqiang Chen, Xiaodong Yang, Xin Qin, Han Yu, Biao Chen, Zhiqi Shen

Figure 1 for FOCUS: Dealing with Label Quality Disparity in Federated Learning
Figure 2 for FOCUS: Dealing with Label Quality Disparity in Federated Learning
Figure 3 for FOCUS: Dealing with Label Quality Disparity in Federated Learning
Figure 4 for FOCUS: Dealing with Label Quality Disparity in Federated Learning
* 7 pages 
  Access Paper or Ask Questions

FedVision: An Online Visual Object Detection Platform Powered by Federated Learning


Jan 17, 2020
Yang Liu, Anbu Huang, Yun Luo, He Huang, Youzhi Liu, Yuanyuan Chen, Lican Feng, Tianjian Chen, Han Yu, Qiang Yang

Figure 1 for FedVision: An Online Visual Object Detection Platform Powered by Federated Learning
Figure 2 for FedVision: An Online Visual Object Detection Platform Powered by Federated Learning
Figure 3 for FedVision: An Online Visual Object Detection Platform Powered by Federated Learning
Figure 4 for FedVision: An Online Visual Object Detection Platform Powered by Federated Learning

  Access Paper or Ask Questions

Advances and Open Problems in Federated Learning


Dec 10, 2019
Peter Kairouz, H. Brendan McMahan, Brendan Avent, AurΓ©lien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Keith Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, AdriΓ  GascΓ³n, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaid Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub KonečnΓ½, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, TancrΓ¨de Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Γ–zgΓΌr, Rasmus Pagh, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian TramΓ¨r, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao

Figure 1 for Advances and Open Problems in Federated Learning
Figure 2 for Advances and Open Problems in Federated Learning
Figure 3 for Advances and Open Problems in Federated Learning
Figure 4 for Advances and Open Problems in Federated Learning

  Access Paper or Ask Questions

Reviewing and Improving the Gaussian Mechanism for Differential Privacy


Dec 07, 2019
Jun Zhao, Teng Wang, Tao Bai, Kwok-Yan Lam, Zhiying Xu, Shuyu Shi, Xuebin Ren, Xinyu Yang, Yang Liu, Han Yu

Figure 1 for Reviewing and Improving the Gaussian Mechanism for Differential Privacy
Figure 2 for Reviewing and Improving the Gaussian Mechanism for Differential Privacy
Figure 3 for Reviewing and Improving the Gaussian Mechanism for Differential Privacy
Figure 4 for Reviewing and Improving the Gaussian Mechanism for Differential Privacy
* 23 Pages 
  Access Paper or Ask Questions

Transfer Learning with Dynamic Distribution Adaptation


Sep 17, 2019
Jindong Wang, Yiqiang Chen, Wenjie Feng, Han Yu, Meiyu Huang, Qiang Yang

Figure 1 for Transfer Learning with Dynamic Distribution Adaptation
Figure 2 for Transfer Learning with Dynamic Distribution Adaptation
Figure 3 for Transfer Learning with Dynamic Distribution Adaptation
Figure 4 for Transfer Learning with Dynamic Distribution Adaptation
* ACM Transactions on Intelligent Systems and Technology (ACM TIST) 2019 
 * Accepted to ACM Transactions on Intelligent Systems and Technology (ACM TIST) 2019, 25 pages. arXiv admin note: text overlap with arXiv:1807.07258 
  Access Paper or Ask Questions

Privacy-preserving Crowd-guided AI Decision-making in Ethical Dilemmas


Jun 04, 2019
Teng Wang, Jun Zhao, Han Yu, Jinyan Liu, Xinyu Yang, Xuebin Ren, Shuyu Shi

Figure 1 for Privacy-preserving Crowd-guided AI Decision-making in Ethical Dilemmas
Figure 2 for Privacy-preserving Crowd-guided AI Decision-making in Ethical Dilemmas
Figure 3 for Privacy-preserving Crowd-guided AI Decision-making in Ethical Dilemmas
Figure 4 for Privacy-preserving Crowd-guided AI Decision-making in Ethical Dilemmas
* 11pages 
  Access Paper or Ask Questions

Incentive Design for Efficient Federated Learning in Mobile Networks: A Contract Theory Approach


May 16, 2019
Jiawen Kang, Zehui Xiong, Dusit Niyato, Han Yu, Ying-Chang Liang, Dong In Kim

Figure 1 for Incentive Design for Efficient Federated Learning in Mobile Networks: A Contract Theory Approach
Figure 2 for Incentive Design for Efficient Federated Learning in Mobile Networks: A Contract Theory Approach
Figure 3 for Incentive Design for Efficient Federated Learning in Mobile Networks: A Contract Theory Approach
* submitted to the conference for potential publication 
  Access Paper or Ask Questions

Easy Transfer Learning By Exploiting Intra-domain Structures


Apr 10, 2019
Jindong Wang, Yiqiang Chen, Han Yu, Meiyu Huang, Qiang Yang

Figure 1 for Easy Transfer Learning By Exploiting Intra-domain Structures
Figure 2 for Easy Transfer Learning By Exploiting Intra-domain Structures
Figure 3 for Easy Transfer Learning By Exploiting Intra-domain Structures
Figure 4 for Easy Transfer Learning By Exploiting Intra-domain Structures
* Camera-ready version of IEEE International Conference on Multimedia and Expo (ICME) 2019; code available at http://transferlearning.xyz/code/traditional/EasyTL 
  Access Paper or Ask Questions

Ethically Aligned Opportunistic Scheduling for Productive Laziness


Jan 02, 2019
Han Yu, Chunyan Miao, Yongqing Zheng, Lizhen Cui, Simon Fauvel, Cyril Leung

Figure 1 for Ethically Aligned Opportunistic Scheduling for Productive Laziness
* Proceedings of the 2nd AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES-19), 2019 
  Access Paper or Ask Questions

Building Ethics into Artificial Intelligence


Dec 07, 2018
Han Yu, Zhiqi Shen, Chunyan Miao, Cyril Leung, Victor R. Lesser, Qiang Yang

Figure 1 for Building Ethics into Artificial Intelligence
* H. Yu, Z. Shen, C. Miao, C. Leung, V. R. Lesser & Q. Yang, "Building Ethics into Artificial Intelligence," in Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI'18), pp. 5527-5533, 2018 
  Access Paper or Ask Questions

Visual Domain Adaptation with Manifold Embedded Distribution Alignment


Jul 28, 2018
Jindong Wang, Wenjie Feng, Yiqiang Chen, Han Yu, Meiyu Huang, Philip S. Yu

Figure 1 for Visual Domain Adaptation with Manifold Embedded Distribution Alignment
Figure 2 for Visual Domain Adaptation with Manifold Embedded Distribution Alignment
Figure 3 for Visual Domain Adaptation with Manifold Embedded Distribution Alignment
Figure 4 for Visual Domain Adaptation with Manifold Embedded Distribution Alignment
* ACM Multimedia conference 2018 (ACM MM) ORAL paper; top 10 papers; 9 pages; code available at http://transferlearning.xyz 
  Access Paper or Ask Questions