Yuhang Wu - RankMe

36 papers A* 4A 3B 3C 1Journal 16Unranked 9

Year	Rank	Type	Title / Venue / Authors
2024	A	`conf`	Graph Anomaly Detection with Adaptive Node Mixup. CIKM Qinghai Zhou, Yuzhong Chen, Zhe Xu, Yuhang Wu, Menghai Pan, Mahashweta Das, Hao Yang, Hanghang Tong
2024	—	`conf`	Privacy-Preserving Financial Anomaly Detection via Federated Learning & Multi-Party Computation. ACSAC Workshops 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
2024	—	`conf`	Rethinking Personalized Federated Learning with Clustering-Based Dynamic Graph Propagation. PAKDD (3) Jiaqi Wang, Yuzhong Chen, Yuhang Wu, Mahashweta Das, Hao Yang, Fenglong Ma
2024	J	`jnl`	Rethinking Personalized Federated Learning with Clustering-based Dynamic Graph Propagation. CoRR Jiaqi Wang, Yuzhong Chen, Yuhang Wu, Mahashweta Das, Hao Yang, Fenglong Ma
2023	A*	`conf`	Node Classification Beyond Homophily: Towards a General Solution. KDD Zhe Xu, Yuzhong Chen, Qinghai Zhou, Yuhang Wu, Menghai Pan, Hao Yang, Hanghang Tong
2023	J	`jnl`	Privacy-Preserving Financial Anomaly Detection via Federated Learning & Multi-Party Computation. CoRR 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
2022	—	`conf`	Event2Graph: Event-driven Bipartite Graph for Multivariate Time Series Forecasting and Anomaly Detection. AMLTS Yuhang Wu, Mengting Gu, Lan Wang, Yusan Lin, Fei Wang, Hao Yang
2022	J	`jnl`	Forecast-based Multi-aspect Framework for Multivariate Time-series Anomaly Detection. CoRR Lan Wang, Yusan Lin, Yuhang Wu, Huiyuan Chen, Fei Wang, Hao Yang
2022	J	`jnl`	SMARTQUERY: An Active Learning Framework for Graph Neural Networks through Hybrid Uncertainty Reduction. CoRR Xiaoting Li, Yuhang Wu, Vineeth Rakesh, Yusan Lin, Hao Yang, Fei Wang
2022	C	`conf`	Semi-supervised Context Discovery for Peer-Based Anomaly Detection in Multi-layer Networks. ICICS Bo Dong, Yuhang Wu, Micheal Yeh, Yusan Lin, Yuzhong Chen, Hao Yang, Fei Wang, Wanxin Bai, Krupa Brahmkstri, Yimin Zhang, Chinna Kummitha, Verma Abhisar
2022	A	`conf`	SmartQuery: An Active Learning Framework for Graph Neural Networks through Hybrid Uncertainty Reduction. CIKM Xiaoting Li, Yuhang Wu, Vineeth Rakesh, Yusan Lin, Hao Yang, Fei Wang
2021	A*	`conf`	Adversarial Example Detection Using Latent Neighborhood Graph. ICCV Ahmed Abusnaina, Yuhang Wu, Sunpreet S. Arora, Yizhen Wang, Fei Wang, Hao Yang, David Mohaisen
2021	A*	`conf`	Beating Attackers At Their Own Games: Adversarial Example Detection Using Adversarial Gradient Directions. AAAI Yuhang Wu, Sunpreet S. Arora, Yanhong Wu, Hao Yang
2021	J	`jnl`	Event2Graph: Event-driven Bipartite Graph for Multivariate Time-series Anomaly Detection. CoRR Yuhang Wu, Mengting Gu, Lan Wang, Yusan Lin, Fei Wang, Hao Yang
2021	—	`conf`	Forecast-based Multi-aspect Framework for Multivariate Time-series Anomaly Detection. IEEE BigData Lan Wang, Yusan Lin, Yuhang Wu, Huiyuan Chen, Fei Wang, Hao Yang
2020	—	`conf`	Adversarial Light Projection Attacks on Face Recognition Systems: A Feasibility Study. CVPR Workshops Dinh-Luan Nguyen, Sunpreet S. Arora, Yuhang Wu, Hao Yang
2020	J	`jnl`	Adversarial Light Projection Attacks on Face Recognition Systems: A Feasibility Study. CoRR Luan Nguyen, Sunpreet S. Arora, Yuhang Wu, Hao Yang
2020	J	`jnl`	Beating Attackers At Their Own Games: Adversarial Example Detection Using Adversarial Gradient Directions. CoRR Yuhang Wu, Sunpreet S. Arora, Yanhong Wu, Hao Yang
2020	A*	`conf`	GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation. SIGIR Aravind Sankar, Yanhong Wu, Yuhang Wu, Wei Zhang, Hao Yang, Hari Sundaram
2020	J	`jnl`	GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation. CoRR Aravind Sankar, Yanhong Wu, Yuhang Wu, Wei Zhang, Hao Yang, Hari Sundaram
2019	J	`jnl`	3-D Face Alignment Using A Convolutional Point-Set Representation. IEEE Trans. Biom. Behav. Identity Sci. Yuhang Wu, Ioannis A. Kakadiaris
2019	—	`conf`	OGCTL: Occlusion-guided compact template learning for ensemble deep network-based pose-invariant face recognition. ICB Yuhang Wu, Ioannis A. Kakadiaris
2019	J	`jnl`	Occlusion-guided compact template learning for ensemble deep network-based pose-invariant face recognition. CoRR Yuhang Wu, Ioannis A. Kakadiaris
2018	J	`jnl`	Annotated face model-based alignment: a robust landmark-free pose estimation approach for 3D model registration. Mach. Vis. Appl. Yuhang Wu, Shishir K. Shah, Ioannis A. Kakadiaris
2018	J	`jnl`	Convolutional Point-set Representation: A Convolutional Bridge Between a Densely Annotated Image and 3D Face Alignment. CoRR Yuhang Wu, Le Anh Vu Ha, Xiang Xu, Ioannis A. Kakadiaris
2018	J	`jnl`	GoDP: Globally Optimized Dual Pathway deep network architecture for facial landmark localization in-the-wild. Image Vis. Comput. Yuhang Wu, Shishir K. Shah, Ioannis A. Kakadiaris
2018	J	`jnl`	Monocular 3D facial shape reconstruction from a single 2D image with coupled-dictionary learning and sparse coding. Pattern Recognit. Pengfei Dou, Yuhang Wu, Shishir K. Shah, Ioannis A. Kakadiaris
2017	B	`conf`	Evaluation of a 3D-aided pose invariant 2D face recognition system. IJCB Xiang Xu, Ha A. Le, Pengfei Dou, Yuhang Wu, Ioannis A. Kakadiaris
2017	J	`jnl`	Facial 3D Model Registration Under Occlusions With SensiblePoints-based Reinforced Hypothesis Refinement. CoRR Yuhang Wu, Ioannis A. Kakadiaris
2017	B	`conf`	Facial 3D model registration under occlusions with sensiblepoints-based reinforced hypothesis refinement. IJCB Yuhang Wu, Ioannis A. Kakadiaris
2017	J	`jnl`	GoDP: Globally optimized dual pathway system for facial landmark localization in-the-wild. CoRR Yuhang Wu, Shishir K. Shah, Ioannis A. Kakadiaris
2016	—	`conf`	Rendering or normalization? An analysis of the 3D-aided pose-invariant face recognition. ISBA Yuhang Wu, Shishir K. Shah, Ioannis A. Kakadiaris
2015	—	`conf`	Pose-robust face signature for multi-view face recognition. BTAS Pengfei Dou, Lingfeng Zhang, Yuhang Wu, Shishir K. Shah, Ioannis A. Kakadiaris
2015	—	`conf`	Towards fitting a 3D dense facial model to a 2D image: A landmark-free approach. BTAS Yuhang Wu, Xiang Xu, Shishir K. Shah, Ioannis A. Kakadiaris
2014	B	`conf`	Benchmarking 3D Pose Estimation for Face Recognition. ICPR Pengfei Dou, Yuhang Wu, Shishir K. Shah, Ioannis A. Kakadiaris
2014	A	`conf`	Robust 3D Face Shape Reconstruction from Single Images via Two-Fold Coupled Structure Learning and Off-the-Shelf Landmark Detectors. BMVC Pengfei Dou, Yuhang Wu, Shishir K. Shah, Ioannis A. Kakadiaris