Robust 3D Face Shape Reconstruction from Single Images via Two-Fold Coupled Structure Learning and Off-the-Shelf Landmark Detectors. - Pengfei Dou; Yuhang Wu 002; Shishir K. Shah; Ioannis A. Kakadiaris (BMVC, 2014)

Benchmarking 3D Pose Estimation for Face Recognition. - Pengfei Dou; Yuhang Wu 002; Shishir K. Shah; Ioannis A. Kakadiaris (ICPR, 2014)

Pose-robust face signature for multi-view face recognition. - Pengfei Dou; Lingfeng Zhang 001; Yuhang Wu 002; Shishir K. Shah; Ioannis A. Kakadiaris (BTAS, 2015)

Towards fitting a 3D dense facial model to a 2D image: A landmark-free approach. - Yuhang Wu 002; Xiang Xu 005; Shishir K. Shah; Ioannis A. Kakadiaris (BTAS, 2015)

Rendering or normalization? An analysis of the 3D-aided pose-invariant face recognition. - Yuhang Wu 002; Shishir K. Shah; Ioannis A. Kakadiaris (ISBA, 2016)

Facial 3D model registration under occlusions with sensiblepoints-based reinforced hypothesis refinement. - Yuhang Wu 002; Ioannis A. Kakadiaris (IJCB, 2017)

Evaluation of a 3D-aided pose invariant 2D face recognition system. - Xiang Xu 005; Ha A. Le; Pengfei Dou; Yuhang Wu 002; Ioannis A. Kakadiaris (IJCB, 2017)

GoDP: Globally optimized dual pathway system for facial landmark localization in-the-wild. - Yuhang Wu 002; Shishir K. Shah; Ioannis A. Kakadiaris (CoRR, 2017)

Convolutional Point-set Representation: A Convolutional Bridge Between a Densely Annotated Image and 3D Face Alignment. - Yuhang Wu 002; Le Anh Vu Ha; Xiang Xu 005; Ioannis A. Kakadiaris (CoRR, 2018)

GoDP: Globally Optimized Dual Pathway deep network architecture for facial landmark localization in-the-wild. - Yuhang Wu 002; Shishir K. Shah; Ioannis A. Kakadiaris (Image Vis. Comput., 2018)

Annotated face model-based alignment: a robust landmark-free pose estimation approach for 3D model registration. - Yuhang Wu 002; Shishir K. Shah; Ioannis A. Kakadiaris (Mach. Vis. Appl., 2018)

Monocular 3D facial shape reconstruction from a single 2D image with coupled-dictionary learning and sparse coding. - Pengfei Dou; Yuhang Wu 002; Shishir K. Shah; Ioannis A. Kakadiaris (Pattern Recognit., 2018)

OGCTL: Occlusion-guided compact template learning for ensemble deep network-based pose-invariant face recognition. - Yuhang Wu 002; Ioannis A. Kakadiaris (ICB, 2019)

Occlusion-guided compact template learning for ensemble deep network-based pose-invariant face recognition. - Yuhang Wu 002; Ioannis A. Kakadiaris (CoRR, 2019)

3-D Face Alignment Using A Convolutional Point-Set Representation. - Yuhang Wu 002; Ioannis A. Kakadiaris (IEEE Trans. Biom. Behav. Identity Sci., 2019)

Adversarial Light Projection Attacks on Face Recognition Systems: A Feasibility Study. - Dinh-Luan Nguyen; Sunpreet S. Arora; Yuhang Wu 002; Hao Yang 007 (CVPR Workshops, 2020)

GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation. - Aravind Sankar; Yanhong Wu; Yuhang Wu 002; Wei Zhang 189; Hao Yang 007; Hari Sundaram (SIGIR, 2020)

Adversarial Light Projection Attacks on Face Recognition Systems: A Feasibility Study. - Luan Nguyen; Sunpreet S. Arora; Yuhang Wu 002; Hao Yang 007 (CoRR, 2020)

Beating Attackers At Their Own Games: Adversarial Example Detection Using Adversarial Gradient Directions. - Yuhang Wu 002; Sunpreet S. Arora; Yanhong Wu; Hao Yang 007 (AAAI, 2021)

Forecast-based Multi-aspect Framework for Multivariate Time-series Anomaly Detection. - Lan Wang; Yusan Lin; Yuhang Wu 002; Huiyuan Chen; Fei Wang 062; Hao Yang 007 (IEEE BigData, 2021)

Adversarial Example Detection Using Latent Neighborhood Graph. - Ahmed Abusnaina; Yuhang Wu 002; Sunpreet S. Arora; Yizhen Wang; Fei Wang 062; Hao Yang 007; David Mohaisen (ICCV, 2021)

Event2Graph: Event-driven Bipartite Graph for Multivariate Time-series Anomaly Detection. - Yuhang Wu 002; Mengting Gu; Lan Wang; Yusan Lin; Fei Wang 062; Hao Yang 007 (CoRR, 2021)

Event2Graph: Event-driven Bipartite Graph for Multivariate Time Series Forecasting and Anomaly Detection. - Yuhang Wu 002; Mengting Gu; Lan Wang; Yusan Lin; Fei Wang 062; Hao Yang 007 (AMLTS, 2022)

SmartQuery: An Active Learning Framework for Graph Neural Networks through Hybrid Uncertainty Reduction. - Xiaoting Li 001; Yuhang Wu 002; Vineeth Rakesh; Yusan Lin; Hao Yang 007; Fei Wang 062 (CIKM, 2022)

Semi-supervised Context Discovery for Peer-Based Anomaly Detection in Multi-layer Networks. - Bo Dong; Yuhang Wu 002; Micheal Yeh; Yusan Lin; Yuzhong Chen; Hao Yang 007; Fei Wang 062; Wanxin Bai; Krupa Brahmkstri; Yimin Zhang 002; Chinna Kummitha; Verma Abhisar (ICICS, 2022)

Node Classification Beyond Homophily: Towards a General Solution. - Zhe Xu 007; Yuzhong Chen; Qinghai Zhou; Yuhang Wu 002; Menghai Pan; Hao Yang 007; Hanghang Tong (KDD, 2023)

Privacy-Preserving Financial Anomaly Detection via Federated Learning & Multi-Party Computation. - Sunpreet S. Arora; Andrew Beams; Panagiotis Chatzigiannis; Sebastian Meiser 001; Karan Patel; Srinivasan Raghuraman; Peter Rindal; Harshal Shah; Yizhen Wang; Yuhang Wu 002; Hao Yang 007; Mahdi Zamani (ACSAC Workshops, 2024)

Graph Anomaly Detection with Adaptive Node Mixup. - Qinghai Zhou; Yuzhong Chen; Zhe Xu 007; Yuhang Wu 002; Menghai Pan; Mahashweta Das; Hao Yang 007; Hanghang Tong (CIKM, 2024)

Rethinking Personalized Federated Learning with Clustering-Based Dynamic Graph Propagation. - Jiaqi Wang 002; Yuzhong Chen; Yuhang Wu 002; Mahashweta Das; Hao Yang 007; Fenglong Ma (PAKDD (3), 2024)