Yuhang Wu

According to our database, Yuhang Wu authored at least 29 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Rethinking Personalized Federated Learning with Clustering-Based Dynamic Graph Propagation.

Jiaqi Wang, Yuzhong Chen, Yuhang Wu, Mahashweta Das, Hao Yang, Fenglong Ma

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Graph Anomaly Detection with Adaptive Node Mixup.

Qinghai Zhou, Yuzhong Chen, Zhe Xu, Yuhang Wu, Menghai Pan, Mahashweta Das, Hao Yang, Hanghang Tong

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Privacy-Preserving Financial Anomaly Detection via Federated Learning & Multi-Party Computation.

Sunpreet S. Arora, Andrew Beams, Panagiotis Chatzigiannis, Sebastian Meiser, Karan Patel, Srinivasan Raghuraman, Peter Rindal, Harshal Shah, Yizhen Wang, Yuhang Wu, Hao Yang, Mahdi Zamani

CoRR, 2023

Node Classification Beyond Homophily: Towards a General Solution.

Zhe Xu, Yuzhong Chen, Qinghai Zhou, Yuhang Wu, Menghai Pan, Hao Yang, Hanghang Tong

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Semi-supervised Context Discovery for Peer-Based Anomaly Detection in Multi-layer Networks.

Bo Dong, Yuhang Wu, Micheal Yeh, Yusan Lin, Yuzhong Chen, Hao Yang, Fei Wang, Wanxin Bai, Krupa Brahmkstri, Yimin Zhang, Chinna Kummitha, Verma Abhisar

Proceedings of the Information and Communications Security - 24th International Conference, 2022

SmartQuery: An Active Learning Framework for Graph Neural Networks through Hybrid Uncertainty Reduction.

Xiaoting Li, Yuhang Wu, Vineeth Rakesh, Yusan Lin, Hao Yang, Fei Wang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Event2Graph: Event-driven Bipartite Graph for Multivariate Time Series Forecasting and Anomaly Detection.

Yuhang Wu, Mengting Gu, Lan Wang, Yusan Lin, Fei Wang, Hao Yang

Proceedings of the Workshop on Applied Machine Learning Methods for Time Series Forecasting (AMLTS 2022) co-located with 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), 2022

2021

Event2Graph: Event-driven Bipartite Graph for Multivariate Time-series Anomaly Detection.

Yuhang Wu, Mengting Gu, Lan Wang, Yusan Lin, Fei Wang, Hao Yang

CoRR, 2021

Adversarial Example Detection Using Latent Neighborhood Graph.

Ahmed Abusnaina, Yuhang Wu, Sunpreet S. Arora, Yizhen Wang, Fei Wang, Hao Yang, David Mohaisen

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Forecast-based Multi-aspect Framework for Multivariate Time-series Anomaly Detection.

Lan Wang, Yusan Lin, Yuhang Wu, Huiyuan Chen, Fei Wang, Hao Yang

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Beating Attackers At Their Own Games: Adversarial Example Detection Using Adversarial Gradient Directions.

Yuhang Wu, Sunpreet S. Arora, Yanhong Wu, Hao Yang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Adversarial Light Projection Attacks on Face Recognition Systems: A Feasibility Study.

Luan Nguyen, Sunpreet S. Arora, Yuhang Wu, Hao Yang

CoRR, 2020

GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation.

Aravind Sankar, Yanhong Wu, Yuhang Wu, Wei Zhang, Hao Yang, Hari Sundaram

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Adversarial Light Projection Attacks on Face Recognition Systems: A Feasibility Study.

Dinh-Luan Nguyen, Sunpreet S. Arora, Yuhang Wu, Hao Yang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

3-D Face Alignment Using A Convolutional Point-Set Representation.

Yuhang Wu, Ioannis A. Kakadiaris

IEEE Trans. Biom. Behav. Identity Sci., 2019

Occlusion-guided compact template learning for ensemble deep network-based pose-invariant face recognition.

Yuhang Wu, Ioannis A. Kakadiaris

CoRR, 2019

OGCTL: Occlusion-guided compact template learning for ensemble deep network-based pose-invariant face recognition.

Yuhang Wu, Ioannis A. Kakadiaris

Proceedings of the 2019 International Conference on Biometrics, 2019

2018

Monocular 3D facial shape reconstruction from a single 2D image with coupled-dictionary learning and sparse coding.

Pengfei Dou, Yuhang Wu, Shishir K. Shah, Ioannis A. Kakadiaris

Pattern Recognit., 2018

Annotated face model-based alignment: a robust landmark-free pose estimation approach for 3D model registration.

Yuhang Wu, Shishir K. Shah, Ioannis A. Kakadiaris

Mach. Vis. Appl., 2018

GoDP: Globally Optimized Dual Pathway deep network architecture for facial landmark localization in-the-wild.

Yuhang Wu, Shishir K. Shah, Ioannis A. Kakadiaris

Image Vis. Comput., 2018

Convolutional Point-set Representation: A Convolutional Bridge Between a Densely Annotated Image and 3D Face Alignment.

Yuhang Wu, Le Anh Vu Ha, Xiang Xu, Ioannis A. Kakadiaris

CoRR, 2018

2017

GoDP: Globally optimized dual pathway system for facial landmark localization in-the-wild.

Yuhang Wu, Shishir K. Shah, Ioannis A. Kakadiaris

CoRR, 2017

Evaluation of a 3D-aided pose invariant 2D face recognition system.

Xiang Xu, Ha A. Le, Pengfei Dou, Yuhang Wu, Ioannis A. Kakadiaris

Proceedings of the 2017 IEEE International Joint Conference on Biometrics, 2017

Facial 3D model registration under occlusions with sensiblepoints-based reinforced hypothesis refinement.

Yuhang Wu, Ioannis A. Kakadiaris

Proceedings of the 2017 IEEE International Joint Conference on Biometrics, 2017

2016

Rendering or normalization? An analysis of the 3D-aided pose-invariant face recognition.

Yuhang Wu, Shishir K. Shah, Ioannis A. Kakadiaris

Proceedings of the IEEE International Conference on Identity, 2016

2015

Towards fitting a 3D dense facial model to a 2D image: A landmark-free approach.

Yuhang Wu, Xiang Xu, Shishir K. Shah, Ioannis A. Kakadiaris

Proceedings of the IEEE 7th International Conference on Biometrics Theory, 2015

Pose-robust face signature for multi-view face recognition.

Pengfei Dou, Lingfeng Zhang, Yuhang Wu, Shishir K. Shah, Ioannis A. Kakadiaris

Proceedings of the IEEE 7th International Conference on Biometrics Theory, 2015

2014

Benchmarking 3D Pose Estimation for Face Recognition.

Pengfei Dou, Yuhang Wu, Shishir K. Shah, Ioannis A. Kakadiaris

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Robust 3D Face Shape Reconstruction from Single Images via Two-Fold Coupled Structure Learning and Off-the-Shelf Landmark Detectors.

Pengfei Dou, Yuhang Wu, Shishir K. Shah, Ioannis A. Kakadiaris

Proceedings of the British Machine Vision Conference, 2014