no code implementations • 4 Feb 2022 • Mengyue Hang, Tobias Schnabel, Longqi Yang, Jennifer Neville
Most work in graph-based recommender systems considers a {\em static} setting where all information about test nodes (i. e., users and items) is available upfront at training time.
no code implementations • 10 Jan 2022 • Jing Ma, Ruocheng Guo, Mengting Wan, Longqi Yang, Aidong Zhang, Jundong Li
In this framework, we generate counterfactuals corresponding to perturbations on each node's and their neighbors' sensitive attributes.
no code implementations • NeurIPS 2021 • Longqi Yang, Liangliang Zhang, Wenjing Yang
This paper studies a long-standing problem of learning the representations of a whole graph without human supervision.
no code implementations • 7 Aug 2021 • Jyun-Yu Jiang, Chia-Jung Lee, Longqi Yang, Bahareh Sarrafzadeh, Brent Hecht, Jaime Teevan
Then we incorporate the resulting representations for enhancing the experiences of common activities people perform on the web.
no code implementations • 17 Jun 2021 • Rosie Jones, Hamed Zamani, Markus Schedl, Ching-Wei Chen, Sravana Reddy, Ann Clifton, Jussi Karlgren, Helia Hashemi, Aasish Pappu, Zahra Nazari, Longqi Yang, Oguz Semerci, Hugues Bouchard, Ben Carterette
Podcasts are spoken documents across a wide-range of genres and styles, with growing listenership across the world, and a rapidly lowering barrier to entry for both listeners and creators.
no code implementations • 3 Mar 2021 • Jenna Butler, Mary Czerwinski, Shamsi Iqbal, Sonia Jaffe, Kate Nowak, Emily Peloquin, Longqi Yang
We now turn to understanding the impact that COVID-19 had on the personal productivity and well-being of information workers as their work practices were impacted by remote work.
no code implementations • 18 Apr 2019 • Longqi Yang, Chen Fang, Hailin Jin, Walter Chang, Deborah Estrin
Complex design tasks often require performing diverse actions in a specific order.
1 code implementation • WWW 2017 • Cheng-Kang Hsieh, Longqi Yang, Yin Cui, Tsung-Yi Lin, Serge Belongie, Deborah Estrin
Metric learning algorithms produce distance metrics that capture the important relationships among data.
Ranked #1 on
Recommendation Systems
on MovieLens 20M
(Recall@100 metric)
2 code implementations • 25 May 2016 • Longqi Yang, Cheng-Kang Hsieh, Hongjian Yang, Nicola Dell, Serge Belongie, Curtis Cole, Deborah Estrin
We propose Yum-me, a personalized nutrient-based meal recommender system designed to meet individuals' nutritional expectations, dietary restrictions, and fine-grained food preferences.
no code implementations • 21 Dec 2015 • Longqi Yang, Cheng-Kang Hsieh, Deborah Estrin
User preference profiling is an important task in modern online social networks (OSN).
no code implementations • 17 Mar 2014 • Longqi Yang, Yibing Wang, Zhisong Pan, Guyu Hu
In this paper, we apply the multi-task feature selection in network anomaly detection area which provides a powerful method to gather information from multiple traffic and detect anomalies on it simultaneously.