Xiaotian Han
Xiaotian Han
E-mailová adresa ověřena na: - Domovská stránka
Metapath-guided heterogeneous graph neural network for intent recommendation
S Fan, J Zhu, X Han, C Shi, L Hu, B Ma, Y Li
Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019
Harnessing the power of llms in practice: A survey on chatgpt and beyond
J Yang, H Jin, R Tang, X Han, Q Feng, H Jiang, B Yin, X Hu
arXiv preprint arXiv:2304.13712, 2023
Deep collaborative filtering with multi-aspect information in heterogeneous networks
C Shi, X Han, L Song, X Wang, S Wang, J Du, SY Philip
IEEE transactions on knowledge and data engineering 33 (4), 1413-1425, 2019
G-mixup: Graph data augmentation for graph classification
X Han, Z Jiang, N Liu, X Hu
International Conference on Machine Learning, 8230-8248, 2022
Aspect-Level Deep Collaborative Filtering via Heterogeneous Information Networks.
X Han, C Shi, S Wang, SY Philip, L Song
IJCAI 18, 3393-3399, 2018
Flowscope: Spotting money laundering based on graphs
X Li, S Liu, Z Li, X Han, C Shi, B Hooi, H Huang, X Cheng
Proceedings of the AAAI conference on artificial intelligence 34 (04), 4731-4738, 2020
Generalized demographic parity for group fairness
Z Jiang, X Han, C Fan, F Yang, A Mostafavi, X Hu
International Conference on Learning Representations, 2022
Anomalous trajectory detection using recurrent neural network
L Song, R Wang, D Xiao, X Han, Y Cai, C Shi
Advanced Data Mining and Applications: 14th International Conference, ADMA …, 2018
Does synthetic data generation of llms help clinical text mining?
R Tang, X Han, X Jiang, X Hu
arXiv preprint arXiv:2303.04360, 2023
Fmp: Toward fair graph message passing against topology bias
Z Jiang, X Han, C Fan, Z Liu, N Zou, A Mostafavi, X Hu
arXiv preprint arXiv:2202.04187, 2022
Autorec: An automated recommender system
TH Wang, X Hu, H Jin, Q Song, X Han, Z Liu
Proceedings of the 14th ACM Conference on Recommender Systems, 582-584, 2020
Auto-PINN: understanding and optimizing physics-informed neural architecture
Y Wang, X Han, CY Chang, D Zha, U Braga-Neto, X Hu
arXiv preprint arXiv:2205.13748, 2022
Geometric graph representation learning via maximizing rate reduction
X Han, Z Jiang, N Liu, Q Song, J Li, X Hu
Proceedings of the ACM Web Conference 2022, 1226-1237, 2022
Mlpinit: Embarrassingly simple gnn training acceleration with mlp initialization
X Han, T Zhao, Y Liu, X Hu, N Shah
arXiv preprint arXiv:2210.00102, 2022
Retiring : New Distribution-Level Metrics for Demographic Parity
X Han, Z Jiang, H Jin, Z Liu, N Zou, Q Wang, X Hu
Transactions on Machine Learning Research, 2023
Representation learning with depth and breadth for recommendation using multi-view data
X Han, C Shi, L Zheng, PS Yu, J Li, Y Lu
Web and Big Data: Second International Joint Conference, APWeb-WAIM 2018 …, 2018
Embedding geographic information for anomalous trajectory detection
D Xiao, L Song, R Wang, X Han, Y Cai, C Shi
World Wide Web 23, 2789-2809, 2020
Weight perturbation can help fairness under distribution shift
Z Jiang, X Han, H Jin, G Wang, N Zou, X Hu
arXiv preprint arXiv:2303.03300, 2023
Towards Assumption-free Bias Mitigation
CY Chang, YN Chuang, KH Lai, X Han, X Hu, N Zou
arXiv preprint arXiv:2307.04105, 2023
Fair Graph Message Passing with Transparency
Z Jiang, X Han, C Fan, Z Liu, N Zou, A Mostafavi, X Hu
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Články 1–20