Παρακολούθηση
Hengrui Zhang
Hengrui Zhang
University of Illinois Chicago
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα sjtu.edu.cn - Αρχική σελίδα
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
Dual graph attention networks for deep latent representation of multifaceted social effects in recommender systems
Q Wu, H Zhang, X Gao, P He, P Weng, H Gao, G Chen
The world wide web conference, 2091-2102, 2019
3842019
From canonical correlation analysis to self-supervised graph neural networks
H Zhang, Q Wu, J Yan, D Wipf, PS Yu
Advances in Neural Information Processing Systems 34, 76-89, 2021
2552021
Handling distribution shifts on graphs: An invariance perspective
Q Wu, H Zhang, J Yan, D Wipf
arXiv preprint arXiv:2202.02466, 2022
2222022
Sgformer: Simplifying and empowering transformers for large-graph representations
Q Wu, W Zhao, C Yang, H Zhang, F Nie, H Jiang, Y Bian, J Yan
Advances in Neural Information Processing Systems 36, 64753-64773, 2023
932023
Mixed-type tabular data synthesis with score-based diffusion in latent space
H Zhang, J Zhang, B Srinivasan, Z Shen, X Qin, C Faloutsos, H Rangwala, ...
International Conference on Learning Representations, 2023
682023
Contrastvae: Contrastive variational autoencoder for sequential recommendation
Y Wang, H Zhang, Z Liu, L Yang, PS Yu
Proceedings of the 31st ACM international conference on information …, 2022
552022
M-mix: Generating hard negatives via multi-sample mixing for contrastive learning
S Zhang, M Liu, J Yan, H Zhang, L Huang, X Yang, P Lu
Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022
552022
Towards open-world recommendation: An inductive model-based collaborative filtering approach
Q Wu, H Zhang, X Gao, J Yan, H Zha
International Conference on Machine Learning, 11329-11339, 2021
532021
Align representations with base: A new approach to self-supervised learning
S Zhang, L Qiu, F Zhu, J Yan, H Zhang, R Zhao, H Li, X Yang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
282022
Stacked mixed-order graph convolutional networks for collaborative filtering
H Zhang, J McAuley
Proceedings of the 2020 SIAM International Conference on Data Mining, 73-81, 2020
252020
Adversarial training model unifying feature driven and point process perspectives for event popularity prediction
Q Wu, C Yang, H Zhang, X Gao, P Weng, G Chen
proceedings of the 27th ACM International Conference on Information and …, 2018
252018
Localized contrastive learning on graphs
H Zhang, Q Wu, Y Wang, S Zhang, J Yan, PS Yu
arXiv preprint arXiv:2212.04604, 2022
182022
Orthoreg: Improving graph-regularized mlps via orthogonality regularization
H Zhang, S Wang, VN Ioannidis, S Adeshina, J Zhang, X Qin, C Faloutsos, ...
arXiv preprint arXiv:2302.00109, 2023
52023
Unleashing the potential of diffusion models for incomplete data imputation
H Zhang, L Fang, PS Yu
arXiv preprint arXiv:2405.20690, 2024
22024
Diffusion-nested Auto-Regressive Synthesis of Heterogeneous Tabular Data
H Zhang, L Fang, Q Wu, PS Yu
arXiv preprint arXiv:2410.21523, 2024
2024
InfoMLP: Unlocking the Potential of MLPs for Semi-Supervised Learning with Structured Data
H Zhang, Q Wu, C Yang, PS Yu
Proceedings of the 33rd ACM International Conference on Information and …, 2024
2024
Revisit Orthogonality in Graph-Regularized MLPs
H Zhang, S Wang, VN Ioannidis, S Adeshina, J Zhang, X Qin, C Faloutsos, ...
Proceedings of the 33rd ACM International Conference on Information and …, 2024
2024
SGFormer: Single-Layer Graph Transformers with Approximation-Free Linear Complexity
Q Wu, K Yang, H Zhang, D Wipf, J Yan
arXiv preprint arXiv:2409.09007, 2024
2024
TabDiff: a Unified Diffusion Model for Multi-Modal Tabular Data Generation
J Shi, M Xu, H Hua, H Zhang, S Ermon, J Leskovec
NeurIPS 2024 Third Table Representation Learning Workshop, 0
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