Peer Reviewed Journal Articles
- Achintha Ihalage and Yang Hao. Formula Graph Self-Attention Network for Representation- Domain Independent Materials Discovery. Advanced Science, 9, 2200164, 2022. (paper, code)
- Achintha Ihalage and Yang Hao. Analogical discovery of disordered perovskite oxides by crystal structure information hidden in unsupervised material fingerprints. npj Computational Materials, 7, 75, 2021. (paper, code)
- Ning Liu*, Achintha Ihalage*, Hangfeng Zhang, Henry Giddens, Haixue Yan, and Yang Hao. Interactive human–machine learning framework for modelling of ferroelectric–dielectric composites. Journal of Materials Chemistry C , 8:10352–10361, 2020. (paper, code)
- Ahsan Noor Khan*,Achintha Avin Ihalage*, Yihan Ma*, Baiyang Liu, Yujie Liu and Yang Hao. Deep learning framework for subject-independent emotion detection using wireless signals. PLOS ONE 16(2): e0242946, 2021. (paper)
- Qiao Cheng, Achintha Avin Ihalage, Yujie Liu and Yang Hao. Compressive Sensing Radar Imaging With Convolutional Neural Networks. IEEE Access, vol. 8, 2020. (paper)
- Lucas Teoh, Achintha Avin Ihalage, Srooley Harp, Zahra F. Al-Khateeb, Adina T. Michael-Titus, Jordi L.Tremoleda and Yang Hao. Deep Learning for Behaviour Classification in a Preclinical Brain Injury Model. PLOS ONE 17(6): e0268962, 2022. (paper)
- Deshya Wijesundera, Alok Prakash, Thambipillai Srikanthan, Achintha Ihalage. Framework for rapid performance estimation of embedded soft core processors. ACM Transactions on Reconfigurable Technology and Systems (TRETS), 11(2), 1-21, 2018. (paper)
(*equal contribution)
Conference Presentations
- Achintha Ihalage and Yang Hao. Formula Graph Self-Attention Network for Representation- Domain Independent Materials Discovery. MRS Fall Meeting 2022, Boston, USA. (Oral)
- Achintha Ihalage and Yang Hao, Analogical Materials Discovery - an unsupervised learning approach for inverse designing of disordered perovskite materials. MRS fall meeting 2021 Boston, MA (Oral/virtual).
- Achintha Ihalage and Yang Hao, Electromagnetic materials discovery and modeling using AI. Ferroelectric material modeling workshop at Alan Turing Institute, 2020 (Oral). (slides hosted at the Turing website)
- Achintha Ihalage and Yang Hao, Small-data driven machine learning screening framework for accelerated discovery of ferroelectric oxides. MRS fall meeting 2019 Boston, MA (Poster).
- Achintha Ihalage and Yang Hao, Deep learning-based modeling of tunable BST composites for frequency reconfigurable antennas. IEEE Symposium on Antennas and Propagation (AP-S/URSI 2020) (Oral/virtual).
- Achintha Ihalage and Yang Hao, Formula graph self-attention network for representation domain independent materials discovery. Accepted for an oral presentation at MRS fall meeting 2022 Boston, MA.