Fei Wang - RankMe

31 papers A* 5A 5B 1C 2Misc 1Journal 13Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	FraGNNet: A Deep Probabilistic Model for Tandem Mass Spectrum Prediction. Trans. Mach. Learn. Res. Adamo Young, Fei Wang, David S. Wishart, Bo Wang, Russell Greiner, Hannes Rost
2024	J	`jnl`	FraGNNet: A Deep Probabilistic Model for Mass Spectrum Prediction. CoRR Adamo Young, Fei Wang, David S. Wishart, Bo Wang, Hannes L. Röst, Russ Greiner
2024	A*	`conf`	MassSpecGym: A benchmark for the discovery and identification of molecules. NeurIPS 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
2024	J	`jnl`	MassSpecGym: A benchmark for the discovery and identification of molecules. CoRR 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, Li-Ping 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
2023	A	`conf`	Context-aware Domain Adaptation for Time Series Anomaly Detection. SDM Kwei-Herng Lai, Lan Wang, Huiyuan Chen, Kaixiong Zhou, Fei Wang, Hao Yang, Xia Hu
2023	J	`jnl`	Context-aware Domain Adaptation for Time Series Anomaly Detection. CoRR Kwei-Herng Lai, Lan Wang, Huiyuan Chen, Kaixiong Zhou, Fei Wang, Hao Yang, Xia Hu
2023	Misc	`conf`	Exploring Language-Agnostic Speech Representations Using Domain Knowledge for Detecting Alzheimer's Dementia. ICASSP Zehra Shah, Shiang Qi, Fei Wang, Mahtab Farrokh, Mashrura Tasnim, Eleni Stroulia, Russell Greiner, Manos Plitsis, Athanasios Katsamanis
2023	J	`jnl`	Marginal Nodes Matter: Towards Structure Fairness in Graphs. CoRR Xiaotian Han, Kaixiong Zhou, Ting-Hsiang Wang, Jundong Li, Fei Wang, Na Zou
2023	J	`jnl`	Marginal Nodes Matter: Towards Structure Fairness in Graphs. SIGKDD Explor. Xiaotian Han, Kaixiong Zhou, Ting-Hsiang Wang, Jundong Li, Fei Wang, Na Zou
2022	A*	`conf`	Adversarial Graph Perturbations for Recommendations at Scale. SIGIR Huiyuan Chen, Kaixiong Zhou, Kwei-Herng Lai, Xia Hu, Fei Wang, Hao Yang
2022	J	`jnl`	CFM-ID 4.0 - a web server for accurate MS-based metabolite identification. Nucleic Acids Res. Fei Wang, Dana Allen, Siyang Tian, Eponine Oler, Vasuk Gautam, Russell Greiner, Thomas O. Metz, David S. Wishart
2022	A	`conf`	Denoising Self-Attentive Sequential Recommendation. RecSys Huiyuan Chen, Yusan Lin, Menghai Pan, Lan Wang, Chin-Chia Michael Yeh, Xiaoting Li, Yan Zheng, Fei Wang, Hao Yang
2022	J	`jnl`	Denoising Self-attentive Sequential Recommendation. CoRR Huiyuan Chen, Yusan Lin, Menghai Pan, Lan Wang, Chin-Chia Michael Yeh, Xiaoting Li, Yan Zheng, Fei Wang, Hao Yang
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	C	`conf`	Few-Shot Link Prediction with Domain-Agnostic Graph Embedding. ICMLA Hao Zhu, Mahashweta Das, Mangesh Bendre, Fei Wang, Hao Yang, Soha Hassoun
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	A*	`conf`	Graph Neural Transport Networks with Non-local Attentions for Recommender Systems. WWW Huiyuan Chen, Chin-Chia Michael Yeh, Fei Wang, Hao Yang
2022	J	`jnl`	HMDB 5.0: the Human Metabolome Database for 2022. Nucleic Acids Res. 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
2022	—	`conf`	Multi-task Knowledge Graph Representations via Residual Functions. PAKDD (1) Adit Krishnan, Mahashweta Das, Mangesh Bendre, Fei Wang, Hao Yang, Hari Sundaram
2022	—	`conf`	OutfitGAN: Learning Compatible Items for Generative Fashion Outfits. CVPR Workshops Maryam Moosaei, Yusan Lin, Ablaikhan Akhazhanov, 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
2022	B	`conf`	bigg2vec: Fast and Memory-Efficient Representation Learning for Billion-Scale Graphs on a Single Machine. IEEE Big Data Mangesh Bendre, Mahashweta Das, Vineeth Rakesh, Fei Wang, Hao Yang
2021	J	`jnl`	A deep generative model enables automated structure elucidation of novel psychoactive substances. Nat. Mach. Intell. Michael A. Skinnider, Fei Wang, Daniel Pasin, Russell Greiner, Leonard J. Foster, Petur W. Dalsgaard, David S. Wishart
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	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
2021	A	`conf`	GPR: Global Personalized Restaurant Recommender System Leveraging Billions of Financial Transactions. WSDM Mangesh Bendre, Mahashweta Das, Fei Wang, Hao Yang
2021	A*	`conf`	Structured Graph Convolutional Networks with Stochastic Masks for Recommender Systems. SIGIR Huiyuan Chen, Lan Wang, Yusan Lin, Chin-Chia Michael Yeh, Fei Wang, Hao Yang
2021	A	`conf`	Tops, Bottoms, and Shoes: Building Capsule Wardrobes via Cross-Attention Tensor Network. RecSys Huiyuan Chen, Yusan Lin, Fei Wang, Hao Yang