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Xueting Han
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2020 – today
- 2024
- [c5]Shengrui Li, Xueting Han, Jing Bai:
AdapterGNN: Parameter-Efficient Fine-Tuning Improves Generalization in GNNs. AAAI 2024: 13600-13608 - [i5]Shengrui Li, Xueting Han, Jing Bai:
NutePrune: Efficient Progressive Pruning with Numerous Teachers for Large Language Models. CoRR abs/2402.09773 (2024) - 2023
- [c4]Haozhen Zhang
, Xueting Han
, Xi Xiao
, Jing Bai
:
Time-aware Graph Structure Learning via Sequence Prediction on Temporal Graphs. CIKM 2023: 3288-3297 - [c3]Xueting Han
, Jihong Yan
, Kongfeng Zhu
:
De Boor Algorithm Based NURBS Subdivision in Terms of Arc Length. ICIIT 2023: 216-222 - [i4]Shengrui Li, Xueting Han, Jing Bai:
AdapterGNN: Efficient Delta Tuning Improves Generalization Ability in Graph Neural Networks. CoRR abs/2304.09595 (2023) - [i3]Haozhen Zhang, Xueting Han, Xi Xiao, Jing Bai:
Time-aware Graph Structure Learning via Sequence Prediction on Temporal Graphs. CoRR abs/2306.07699 (2023) - [i2]Dongshuo Yin, Xueting Han, Bin Li, Hao Feng, Jing Bai:
Parameter-efficient is not sufficient: Exploring Parameter, Memory, and Time Efficient Adapter Tuning for Dense Predictions. CoRR abs/2306.09729 (2023) - 2022
- [c2]Xueting Han, Kongfeng Zhu:
Calculation of Position for Odd Numbers to Change Length in Valuated Binary Tree. ICIIT 2022: 101-105 - 2021
- [c1]Xueting Han, Zhenhuan Huang, Bang An, Jing Bai:
Adaptive Transfer Learning on Graph Neural Networks. KDD 2021: 565-574 - [i1]Xueting Han, Zhenhuan Huang, Bang An, Jing Bai:
Adaptive Transfer Learning on Graph Neural Networks. CoRR abs/2107.08765 (2021)
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