Search Results for author: Beibei Li

Found 6 papers, 0 papers with code

Uncovering the Source of Machine Bias

no code implementations9 Jan 2022 Xiyang Hu, Yan Huang, Beibei Li, Tian Lu

We find two types of biases in gender, preference-based bias and belief-based bias, are present in human evaluators' decisions.

Improving Sequential Recommendation with Attribute-augmented Graph Neural Networks

no code implementations10 Mar 2021 Xinzhou Dong, Beihong Jin, Wei Zhuo, Beibei Li, Taofeng Xue

Many practical recommender systems provide item recommendation for different users only via mining user-item interactions but totally ignoring the rich attribute information of items that users interact with.

Sequential Recommendation

Empowering Patients Using Smart Mobile Health Platforms: Evidence From A Randomized Field Experiment

no code implementations10 Feb 2021 Anindya Ghose, Xitong Guo, Beibei Li, Yuanyuan Dang

A comparison of mobile vs. PC version of the same app demonstrates that mobile has a stronger effect than PC in helping patients make these behavioral modifications with respect to diet, exercise and lifestyle, which leads to an improvement in their healthcare outcomes.

What Makes a Star Teacher? A Hierarchical BERT Model for Evaluating Teacher's Performance in Online Education

no code implementations3 Dec 2020 Wen Wang, Honglei Zhuang, Mi Zhou, Hanyu Liu, Beibei Li

Based on these insights, we then propose a hierarchical course BERT model to predict teachers' performance in online education.

AN-GCN: An Anonymous Graph Convolutional Network Defense Against Edge-Perturbing Attack

no code implementations6 May 2020 Ao Liu, Beibei Li, Tao Li, Pan Zhou, Rui Wang

In this paper, we first generalize the formulation of edge-perturbing attacks and strictly prove the vulnerability of GCNs to such attacks in node classification tasks.

Adversarial Attack General Classification +3

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