Elliott Wen joined the Augmented Human Lab in Auckland Bioengineering Institute at the University of Auckland as a Research Fellow. His research interests include Software Engineering, Pervasive Computing, and Mobile Sensing. Elliott obtained his PhD degree from the University of Auckland.
Wen, E., Kaluarachchi, T., Siriwardhana, S., Tang, V., Billinghurst, M., Lindeman, R.W., Yao, R., Lin, J. and Nanayakkara, S.C., 2022. VRhook: A Data Collection Tool for VR Motion Sickness Research. In The 35th Annual ACM Symposium on User Interface Software and Technology (UIST ’22), October 29-November 2, 2022, Bend, OR, USA.
Dissanayake V., Tang V., Elvitigala D.S., Wen E., Wu M., Nanayakkara S.C. 2022. Troi: Towards Understanding Users Perspectives to Mobile Automatic Emotion Recognition System in Their Natural Setting. In Proceedings of the 24th International Conference on Mobile Human-Computer Interaction (to appear).
Dissanayake, V., Seneviratne, S., Rana, R., Wen, E., Kaluarachchi, T., Nanayakkara, S.C., (2022). SigRep: Towards Robust Wearable Emotion Recognition with Contrastive Representation Learning. IEEE Access
Dissanayake V., Seneviratne S., Suriyaarachchi H., Wen E., Nanayakkara S.C. 2022. Self-supervised Representation Fusion for Speech and Wearable Based Emotion Recognition. In Proceedings of Interspeech 2022 (to appear)
Siriwardhana, S., Weerasekera, R., Wen, E., Kaluarachchi, T., Rana, R. and Nanayakkara, S.C., 2022. Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering. arXiv preprint arXiv:2210.02627.
Wen, E., Weber, G. and Nanayakkara, S.C., 2021. WasmAndroid: A Cross-Platform Runtime for Native Programming Languages on Android (WIP Paper). In Proceedings of the 22nd ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES ’21)