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Deep Learning Based Audio-Visual Multi-Speaker DOA Estimation Using Permutation-Free Loss Function


Oct 26, 2022
Qing Wang, Hang Chen, Ya Jiang, Zhe Wang, Yuyang Wang, Jun Du, Chin-Hui Lee

* 5 pages, 3 figures, accepted by ISCSLP 2022 

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MOFormer: Self-Supervised Transformer model for Metal-Organic Framework Property Prediction


Oct 25, 2022
Zhonglin Cao, Rishikesh Magar, Yuyang Wang, Amir Barati Farimani

* ZC and RM share joint first authorship. Main+SI have 34 pages, 5 figures and 2 tables in the main manuscript 

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Predicting CO$_2$ Absorption in Ionic Liquids with Molecular Descriptors and Explainable Graph Neural Networks


Sep 29, 2022
Yue Jian, Yuyang Wang, Amir Barati Farimani


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On the detrimental effect of invariances in the likelihood for variational inference


Sep 15, 2022
Richard Kurle, Ralf Herbrich, Tim Januschowski, Yuyang Wang, Jan Gasthaus


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Graph Neural Networks for Molecules


Sep 12, 2022
Yuyang Wang, Zijie Li, Amir Barati Farimani

* A chapter for the book "Machine Learning in Molecular Sciences". 31 pages, 4 figures 

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TransPolymer: a Transformer-based Language Model for Polymer Property Predictions


Sep 11, 2022
Changwen Xu, Yuyang Wang, Amir Barati Farimani


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Earthformer: Exploring Space-Time Transformers for Earth System Forecasting


Jul 12, 2022
Zhihan Gao, Xingjian Shi, Hao Wang, Yi Zhu, Yuyang Wang, Mu Li, Dit-Yan Yeung

* Technical report 

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Crystal Twins: Self-supervised Learning for Crystalline Material Property Prediction


May 04, 2022
Rishikesh Magar, Yuyang Wang, Amir Barati Farimani

* Preprint - Under review 20 pages, 3 figures 

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Robust Probabilistic Time Series Forecasting


Feb 24, 2022
TaeHo Yoon, Youngsuk Park, Ernest K. Ryu, Yuyang Wang

* AISTATS 2022 camera ready version 

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Improving Molecular Contrastive Learning via Faulty Negative Mitigation and Decomposed Fragment Contrast


Feb 18, 2022
Yuyang Wang, Rishikesh Magar, Chen Liang, Amir Barati Farimani

* 30 pages, 4 figures, 4 tables. Manuscript in submission 

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