Fei Wang

According to our database, Fei Wang authored at least 24 papers between 2021 and 2024.

Collaborative distances:

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

2024

FraGNNet: A Deep Probabilistic Model for Mass Spectrum Prediction.

Adamo Young, Fei Wang, David S. Wishart, Bo Wang, Hannes L. Röst, Russ Greiner

CoRR, 2024

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, Luke Zhang, Kai Dührkop, Marcus Ludwig, Nils A. Haupt, Apurva Kalia, Corinna Brungs, Robin Schmid, Russell Greiner, Bo Wang, David S. Wishart, Liping Liu, Juho Rousu, Wout Bittremieux, Hannes Rost, Tytus D. Mak, Soha Hassoun, Florian Huber, Justin J. J. van der Hooft, Michael A. Stravs, Sebastian Böcker, Josef Sivic, Tomás Pluskal

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Marginal Nodes Matter: Towards Structure Fairness in Graphs.

Xiaotian Han, Kaixiong Zhou, Ting-Hsiang Wang, Jundong Li, Fei Wang, Na Zou

SIGKDD Explor., December, 2023

Context-aware Domain Adaptation for Time Series Anomaly Detection.

Kwei-Herng Lai, Lan Wang, Huiyuan Chen, Kaixiong Zhou, Fei Wang, Hao Yang, Xia Hu

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Exploring Language-Agnostic Speech Representations Using Domain Knowledge for Detecting Alzheimer's Dementia.

Zehra Shah, Shiang Qi, Fei Wang, Mahtab Farrokh, Mashrura Tasnim, Eleni Stroulia, Russell Greiner, Manos Plitsis, Athanasios Katsamanis

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

HMDB 5.0: the Human Metabolome Database for 2022.

David S. Wishart, Anchi Guo, Eponine Oler, Fei Wang, Afia Anjum, Harrison Peters, Raynard Dizon, Zinat Sayeeda, Siyang Tian, Brian L. Lee, Mark V. Berjanskii, Robert Mah, Mai Yamamoto, Juan Jovel, Claudia Torres-Calzada, Mickel Hiebert-Giesbrecht, Vicki W. Lui, Dorna Varshavi, Dorsa Varshavi, Dana Allen, David Arndt, Nitya Khetarpal, Aadhavya Sivakumaran, Karxena Harford, Selena Sanford, Kristen Yee, Xuan Cao, Zachary Budinski, Jaanus Liigand, Lun Zhang, Jiamin Zheng, Rupasri Mandal, Naama Karu, Maija Dambrova, Helgi B. Schiöth, Russell Greiner, Vasuk Gautam

Nucleic Acids Res., 2022

CFM-ID 4.0 - a web server for accurate MS-based metabolite identification.

Fei Wang, Dana Allen, Siyang Tian, Eponine Oler, Vasuk Gautam, Russell Greiner, Thomas O. Metz, David S. Wishart

Nucleic Acids Res., 2022

Graph Neural Transport Networks with Non-local Attentions for Recommender Systems.

Huiyuan Chen, Chin-Chia Michael Yeh, Fei Wang, Hao Yang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Adversarial Graph Perturbations for Recommendations at Scale.

Huiyuan Chen, Kaixiong Zhou, Kwei-Herng Lai, Xia Hu, Fei Wang, Hao Yang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Denoising Self-Attentive Sequential Recommendation.

Huiyuan Chen, Yusan Lin, Menghai Pan, Lan Wang, Chin-Chia Michael Yeh, Xiaoting Li, Yan Zheng, Fei Wang, Hao Yang

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Multi-task Knowledge Graph Representations via Residual Functions.

Adit Krishnan, Mahashweta Das, Mangesh Bendre, Fei Wang, Hao Yang, Hari Sundaram

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Few-Shot Link Prediction with Domain-Agnostic Graph Embedding.

Hao Zhu, Mahashweta Das, Mangesh Bendre, Fei Wang, Hao Yang, Soha Hassoun

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 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

OutfitGAN: Learning Compatible Items for Generative Fashion Outfits.

Maryam Moosaei, Yusan Lin, Ablaikhan Akhazhanov, Huiyuan Chen, Fei Wang, Hao Yang

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

bigg2vec: Fast and Memory-Efficient Representation Learning for Billion-Scale Graphs on a Single Machine.

Mangesh Bendre, Mahashweta Das, Vineeth Rakesh, Fei Wang, Hao Yang

Proceedings of the IEEE International Conference on Big Data, 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

A deep generative model enables automated structure elucidation of novel psychoactive substances.

Michael A. Skinnider, Fei Wang, 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 Anomaly Detection.

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

CoRR, 2021

GPR: Global Personalized Restaurant Recommender System Leveraging Billions of Financial Transactions.

Mangesh Bendre, Mahashweta Das, Fei Wang, Hao Yang

Proceedings of the WSDM '21, 2021

Structured Graph Convolutional Networks with Stochastic Masks for Recommender Systems.

Huiyuan Chen, Lan Wang, Yusan Lin, Chin-Chia Michael Yeh, Fei Wang, Hao Yang

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Tops, Bottoms, and Shoes: Building Capsule Wardrobes via Cross-Attention Tensor Network.

Huiyuan Chen, Yusan Lin, Fei Wang, Hao Yang

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 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