no code implementations • 19 Jul 2019 • Jing Wu, Qimei Chen, Hao Jiang, Haozhao Wang, Yulai Xie, Wenzheng Xu, Pan Zhou, Zichuan Xu, Lixing Chen, Beibei Li, Xiumin Wang, Dapeng Oliver Wu
In the context of fifth-generation (5G)/beyond-5G (B5G) wireless communications, post-disaster emergency networks have recently gained increasing attention and interest.
no code implementations • 6 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.
no code implementations • 3 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.
no code implementations • 10 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.
no code implementations • 10 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.
no code implementations • 27 Jun 2021 • Wei Zhuo, Kunchi Liu, Taofeng Xue, Beihong Jin, Beibei Li, Xinzhou Dong, He Chen, Wenhai Pan, Xuejian Zhang, Shuo Zhou
Interactions between users and videos are the major data source of performing video recommendation.
no code implementations • 9 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.
1 code implementation • 19 May 2022 • Beibei Li, Beihong Jin, Jiageng Song, Yisong Yu, Yiyuan Zheng, Wei Zhuo
With the rapid increase of micro-video creators and viewers, how to make personalized recommendations from a large number of candidates to viewers begins to attract more and more attention.
no code implementations • 9 Aug 2022 • Yisong Yu, Beihong Jin, Jiageng Song, Beibei Li, Yiyuan Zheng, Wei Zhu
Although the micro-video recommendation can be naturally treated as the sequential recommendation, the previous sequential recommendation models do not fully consider the characteristics of micro-video apps, and in their inductive biases, the role of positions is not in accord with the reality in the micro-video scenario.
no code implementations • 17 Jan 2023 • Beibei Li, Zerui Shao, Ao Liu, Peiran Wang
The prevalent communication efficient federated learning (FL) frameworks usually take advantages of model gradient compression or model distillation.
no code implementations • 10 Mar 2023 • Xiang Li, Guoqi Li, Leitao Gao, Beibei Li, Gaoxi Xiao
In this paper, we propose to study on sufficient control of complex networks which is to control a sufficiently large portion of the network, where only the quantity of controllable nodes matters.
no code implementations • 10 May 2023 • Xiyang Hu, Yan Huang, Beibei Li, Tian Lu
We use contrastive learning to train our feature extractor on unapproved (unlabeled) loan applications and use domain adaptation to generalize the performance of our label predictor.
no code implementations • 12 Jun 2023 • Ao Liu, Wenshan Li, Tao Li, Beibei Li, Hanyuan Huang, Guangquan Xu, Pan Zhou
In this paper, we propose the Graph Agent Network (GAgN) to address the aforementioned vulnerabilities of GNNs.
no code implementations • 8 Nov 2023 • Haoming Zhuang, Beibei Li, Jingtong Ma, Patrice Monkam, Shouliang Qi, Wei Qian, Dianning He
Multimodal data from PET/CT images of the regions of interest (ROI) were used to predict platinum resistance in patients.
no code implementations • 14 Dec 2023 • Ao Liu, Wenshan Li, Tao Li, Beibei Li, Hanyuan Huang, Pan Zhou
We then prove that merely three MP iterations within GCNs can induce signal resonance between nodes and edges, manifesting as a coupling between nodes and their distillable surrounding local subgraph.