Research MCL: Mixed-Centric Loss for Collaborative Filtering (WWW 2022) Code and Paper for project MCL: Mixed-Centric Loss for Collaborative Filtering (WWW 2022) HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering (WWW 2021) Code and Paper for project HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering (WWW 2021) TAFA: two-headed attention fused autoencoder for context-aware recommendations (RecSys 2020) Code and Paper for project TAFA: two-headed attention fused autoencoder for context-aware recommendations (RecSys 2020) Applied Research ACM Spotify RecSys Challenge 2018 1st Place Solution Code and Paper for project Two-stage Model for Automatic Playlist Continuation at Scale (ACM Spotify RecSys Challenge 2018 1st place Solution) ACM Trivago RecSys Challenge 2019 2nd Place Solution Paper for project Robust Contextual Models for In-Session Personalization (ACM Trivago RecSys Challenge 2019 2nd place Solution) ACM Twitter RecSys Challenge 2020 2nd Place Solution Paper for project Predicting Twitter Engagement With Deep Language Models (ACM Twitter RecSys Challenge 2020 2nd place Solution) ACM Twitter RecSys Challenge 2021 3rd Place Solution Paper for project User Engagement Modeling with Deep Learning and Language Models (ACM Twitter RecSys Challenge 2021 3rd place Solution)
