Zhiping Xiao
Zhiping Xiao
PhD student at UCLA
Verified email at - Homepage
Cited by
Cited by
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks
W Song, C Shi, Z Xiao, Z Duan, Y Xu, M Zhang, J Tang
(CIKM '19) In Proceedings of the 28th ACM International Conference on …, 2019
Session-Based Social Recommendation via Dynamic Graph Attention Networks
W Song, Z Xiao, Y Wang, L Charlin, M Zhang, J Tang
(WSDM '19) In Proceedings of the Twelfth ACM International Conference on Web …, 2019
TIMME: Twitter Ideology-Detection via Multi-Task Multi-Relational Embedding
Z Xiao, W Song, H Xu, Z Ren, Y Sun
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
A Comprehensive Survey on Deep Graph Representation Learning
W Ju, Z Fang, Y Gu, Z Liu, Q Long, Z Qiao, Y Qin, J Shen, F Sun, Z Xiao, ...
Neurl Networks 173 (5), 1-50, 2024
Game development for computer science education
C Johnson, M McGill, D Bouchard, MK Bradshaw, VA Bucheli, LD Merkle, ...
Proceedings of the 2016 ITiCSE Working Group Reports, 23-44, 2016
Detecting political biases of named entities and hashtags on Twitter
Z Xiao, J Zhu, Y Wang, P Zhou, WH Lam, MA Porter, Y Sun
EPJ Data Science 12 (1), 2023
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges
W Ju, S Yi, Y Wang, Z Xiao, Z Mao, H Li, Y Gu, Y Qin, N Yin, S Wang, ...
arXiv preprint arXiv:2403.04468, 2024
A survey on graph neural networks in intelligent transportation systems
H Li, Y Zhao, Z Mao, Y Qin, Z Xiao, J Feng, Y Gu, W Ju, X Luo, M Zhang
arXiv preprint arXiv:2401.00713, 2024
A survey of data-efficient graph learning
W Ju, S Yi, Y Wang, Q Long, J Luo, Z Xiao, M Zhang
arXiv preprint arXiv:2402.00447, 2024
Focus on informative graphs! semi-supervised active learning for graph-level classification
W Ju, Z Mao, Z Qiao, Y Qin, S Yi, Z Xiao, X Luo, Y Fu, M Zhang
Pattern Recognition 153, 110567, 2024
Skolem sequence based self-adaptive broadcast protocol in cognitive radio networks
L Chen, Z Xiao, K Bian, S Shi, R Li, Y Ji
2016 IEEE 83rd Vehicular Technology Conference (VTC Spring), 1-5, 2016
Hypergraph-enhanced Dual Semi-supervised Graph Classification
W Ju, Z Mao, S Yi, Y Qin, Y Gu, Z Xiao, Y Wang, X Luo, M Zhang
arXiv preprint arXiv:2405.04773, 2024
COOL: A conjoint perspective on spatio-temporal graph neural network for traffic forecasting
W Ju, Y Zhao, Y Qin, S Yi, J Yuan, Z Xiao, X Luo, X Yan, M Zhang
Information Fusion, 102341, 2024
PolyCF: Towards the Optimal Spectral Graph Filters for Collaborative Filtering
Y Qin, W Ju, X Luo, Y Gu, Z Xiao, M Zhang
arXiv preprint arXiv:2401.12590, 2024
DEER: Distribution Divergence-based Graph Contrast for Partial Label Learning on Graphs
Y Gu, Z Chen, Y Qin, Z Mao, Z Xiao, W Ju, C Chen, XS Hua, Y Wang, ...
IEEE Transactions on Multimedia, 2024
Towards Graph Contrastive Learning: A Survey and Beyond
W Ju, Y Wang, Y Qin, Z Mao, Z Xiao, J Luo, J Yang, Y Gu, D Wang, ...
arXiv preprint arXiv:2405.11868, 2024
Fast Inference of Removal-Based Node Influence
W Li, Z Xiao, X Luo, Y Sun
TheWebConf (WWW), 2024
A foundation model for bioactivity prediction using pairwise meta-learning
B Feng, Z Liu, N Huang, Z Xiao, H Zhang, S Mirzoyan, H Xu, J Hao, Y Xu, ...
bioRxiv, 2023.10. 30.564861, 2023
AutoQuiz: an online, adaptive, test practice system
Z Xiao
EECS Department, University of California, Berkeley, 2018
AutoQuiz: A Personalized, Adaptive, Test Practice System
Z Xiao, S Li, Z Pardos
Proceedings of the 49th ACM Technical Symposium on Computer Science …, 2018
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