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)

Tops, Bottoms, and Shoes: Building Capsule Wardrobes via Cross-Attention Tensor Network. - Huiyuan Chen; Yusan Lin; Fei Wang 062; Hao Yang 007 (RecSys, 2021)

Structured Graph Convolutional Networks with Stochastic Masks for Recommender Systems. - Huiyuan Chen; Lan Wang; Yusan Lin; Chin-Chia Michael Yeh; Fei Wang 062; Hao Yang 007 (SIGIR, 2021)

GPR: Global Personalized Restaurant Recommender System Leveraging Billions of Financial Transactions. - Mangesh Bendre; Mahashweta Das; Fei Wang 062; Hao Yang 007 (WSDM, 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)

A deep generative model enables automated structure elucidation of novel psychoactive substances. - Michael A. Skinnider; Fei Wang 062; Daniel Pasin; Russell Greiner; Leonard J. Foster; Petur W. Dalsgaard; David S. Wishart (Nat. Mach. Intell., 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)

bigg2vec: Fast and Memory-Efficient Representation Learning for Billion-Scale Graphs on a Single Machine. - Mangesh Bendre; Mahashweta Das; Vineeth Rakesh; Fei Wang 062; Hao Yang 007 (IEEE Big Data, 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)

OutfitGAN: Learning Compatible Items for Generative Fashion Outfits. - Maryam Moosaei; Yusan Lin; Ablaikhan Akhazhanov; Huiyuan Chen; Fei Wang 062; Hao Yang 007 (CVPR Workshops, 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)

Few-Shot Link Prediction with Domain-Agnostic Graph Embedding. - Hao Zhu; Mahashweta Das; Mangesh Bendre; Fei Wang 062; Hao Yang 007; Soha Hassoun (ICMLA, 2022)

Multi-task Knowledge Graph Representations via Residual Functions. - Adit Krishnan; Mahashweta Das; Mangesh Bendre; Fei Wang 062; Hao Yang 007; Hari Sundaram (PAKDD (1), 2022)

Denoising Self-Attentive Sequential Recommendation. - Huiyuan Chen; Yusan Lin; Menghai Pan; Lan Wang; Chin-Chia Michael Yeh; Xiaoting Li 001; Yan Zheng 001; Fei Wang 062; Hao Yang 007 (RecSys, 2022)

Adversarial Graph Perturbations for Recommendations at Scale. - Huiyuan Chen; Kaixiong Zhou; Kwei-Herng Lai; Xia Hu 001; Fei Wang 062; Hao Yang 007 (SIGIR, 2022)

Graph Neural Transport Networks with Non-local Attentions for Recommender Systems. - Huiyuan Chen; Chin-Chia Michael Yeh; Fei Wang 062; Hao Yang 007 (WWW, 2022)

CFM-ID 4.0 - a web server for accurate MS-based metabolite identification. - Fei Wang 062; Dana Allen; Siyang Tian; Eponine Oler; Vasuk Gautam; Russell Greiner; Thomas O. Metz; David S. Wishart (Nucleic Acids Res., 2022)

HMDB 5.0: the Human Metabolome Database for 2022. - David S. Wishart; Anchi Guo; Eponine Oler; Fei Wang 062; Afia Anjum; Harrison Peters; Raynard Dizon; Zinat Sayeeda; Siyang Tian; Brian L. Lee; Mark V. Berjanskii; Robert Mah; et al. (Nucleic Acids Res., 2022)

Exploring Language-Agnostic Speech Representations Using Domain Knowledge for Detecting Alzheimer's Dementia. - Zehra Shah; Shiang Qi; Fei Wang 062; Mahtab Farrokh; Mashrura Tasnim; Eleni Stroulia; Russell Greiner; Manos Plitsis; Athanasios Katsamanis (ICASSP, 2023)

Context-aware Domain Adaptation for Time Series Anomaly Detection. - Kwei-Herng Lai; Lan Wang; Huiyuan Chen; Kaixiong Zhou; Fei Wang 062; Hao Yang 007; Xia Hu 001 (SDM, 2023)

Marginal Nodes Matter: Towards Structure Fairness in Graphs. - Xiaotian Han; Kaixiong Zhou; Ting-Hsiang Wang; Jundong Li; Fei Wang 062; Na Zou 001 (SIGKDD Explor., 2023)

MassSpecGym: A benchmark for the discovery and identification of molecules. - Roman Bushuiev; Anton Bushuiev; Niek F. de Jonge; Adamo Young; Fleming Kretschmer; Raman Samusevich; Janne Heirman; Fei Wang 062; Luke Zhang; Kai Dührkop; Marcus Ludwig; Nils A. Haupt; et al. (NeurIPS, 2024)

FraGNNet: A Deep Probabilistic Model for Mass Spectrum Prediction. - Adamo Young; Fei Wang 062; David S. Wishart; Bo Wang 044; Hannes L. Röst; Russ Greiner (CoRR, 2024)