Elliott Wen
Research Fellow
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.
Projects
Publications
Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering
Siriwardhana, S., Weerasekera, R., Wen, E., Kaluarachchi, T., Rana, R. and Nanayakkara, S.C., 2023. Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering. Transactions of the Association for Computational Linguistics.
A Corneal Surface Reflections-Based Intelligent System for Lifelogging Applications
Kaluarachchi, T., Siriwardhana, S., Wen, E., & Nanayakkara, S.C. 2023. A Corneal Surface Reflections-Based Intelligent System for Lifelogging Applications. In International Journal of Human–Computer Interaction.
WasmAndroid: A Cross-Platform Runtime for Native Programming Languages on Android
Wen, E., Weber, G. and Nanayakkara, S.C., 2022. WasmAndroid: A Cross-Platform Runtime for Native Programming Languages on Android. ACM Transactions on Embedded Computing Systems (TECS).
VRhook: A Data Collection Tool for VR Motion Sickness Research
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.
Troi: Towards Understanding Users Perspectives to Mobile Automatic Emotion Recognition System in Their Natural Setting
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.
Toro: A Web-based Tool to Search, Explore, Screen, Compare and Visualize Literature
Messerschmidt, M., Chan, S., Wen, E. and Nanayakkara, S.C., 2022. Toro: A Web-based Tool to Search, Explore, Screen, Compare and Visualize Literature.
SigRep: Towards Robust Wearable Emotion Recognition with Contrastive Representation Learning.
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
Self-supervised Representation Fusion for Speech and Wearable Based Emotion Recognition
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
WasmAndroid: A Cross-Platform Runtime for Native Programming Languages on Android
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)