Search Results for author: Longqi Yang

Found 11 papers, 2 papers with code

Lightweight Compositional Embeddings for Incremental Streaming Recommendation

no code implementations4 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.

Recommendation Systems

Learning Fair Node Representations with Graph Counterfactual Fairness

no code implementations10 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.

Data Augmentation Fairness

Graph Adversarial Self-Supervised Learning

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.

Graph Classification Self-Supervised Learning

Learning to Represent Human Motives for Goal-directed Web Browsing

no code implementations7 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.

Current Challenges and Future Directions in Podcast Information Access

no code implementations17 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.

Personal Productivity and Well-being -- Chapter 2 of the 2021 New Future of Work Report

no code implementations3 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.

Yum-me: A Personalized Nutrient-based Meal Recommender System

2 code implementations25 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.

online learning Recommendation Systems

Multi-task Feature Selection based Anomaly Detection

no code implementations17 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.

Anomaly Detection Multi-Task Learning

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