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, S Zhong, B Yin, X Hu
ACM Transactions on Knowledge Discovery from Data 18 (6), 1-32, 2024
627 2024 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
383 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
202 2022 Does synthetic data generation of llms help clinical text mining? R Tang, X Han, X Jiang, X Hu
arXiv preprint arXiv:2303.04360, 2023
147 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
125 2019 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
112 2020 Aspect-Level Deep Collaborative Filtering via Heterogeneous Information Networks. X Han, C Shi, S Wang, SY Philip, L Song
IJCAI 18, 3393-3399, 2018
106 2018 Llm maybe longlm: Self-extend llm context window without tuning H Jin, X Han, J Yang, Z Jiang, Z Liu, CY Chang, H Chen, X Hu
International Conference on Machine Learning, 2024
73 * 2024 Generalized demographic parity for group fairness Z Jiang, X Han, C Fan, F Yang, A Mostafavi, X Hu
International Conference on Learning Representations, 2022
65 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
54 2018 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
45 2022 Mlpinit: Embarrassingly simple gnn training acceleration with mlp initialization X Han, T Zhao, Y Liu, X Hu, N Shah
International Conference on Learning Representations, 2022
44 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
28 2022 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
25 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
23 2020 Chasing fairness under distribution shift: a model weight perturbation approach ZS Jiang, X Han, H Jin, G Wang, R Chen, N Zou, X Hu
Advances in Neural Information Processing Systems 36, 2024
20 * 2024 FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods X Han, J Chi, Y Chen, Q Wang, H Zhao, N Zou, X Hu
International Conference on Learning Representations., 2023
17 2023 Retiring X Han, Z Jiang, H Jin, Z Liu, N Zou, Q Wang, X Hu
Transactions on Machine Learning Research, 2023
17 2023 Pokemqa: Programmable knowledge editing for multi-hop question answering H Gu, K Zhou, X Han, N Liu, R Wang, X Wang
arXiv preprint arXiv:2312.15194, 2023
14 2023 Growlength: Accelerating llms pretraining by progressively growing training length H Jin, X Han, J Yang, Z Jiang, CY Chang, X Hu
arXiv preprint arXiv:2310.00576, 2023
9 2023 
Xia "Ben" HuAssociate Professor of Computer Science, Rice UniversityE-mail confirmado em rice.edu