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Lu Lin
Lu Lin
Assistant Professor of Information Science and Technology, Penn State University
Geverifieerd e-mailadres voor psu.edu - Homepage
Titel
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Geciteerd door
Jaar
Road Traffic Speed Prediction: A Probabilistic Model Fusing Multi-source Data
L Lin, J Li, F Chen, J Ye, J Huai
IEEE Transactions on Knowledge and Data Engineering 30 (7), 1310-1323, 2017
1142017
Communication-Efficient Adaptive Federated Learning
Y Wang, L Lin, J Chen
Proceedings of the 39th International Conference on Machine Learning (ICML) 162, 2022
492022
Opinion Mining and Sentiment Analysis in Social Networks: A Retweeting Structure-aware Approach
L Lin, J Li, R Zhang, W Yu, C Sun
2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing …, 2014
412014
Defending against alignment-breaking attacks via robustly aligned llm
B Cao, Y Cao, L Lin, J Chen
arXiv preprint arXiv:2309.14348, 2023
292023
Unbiased Graph Embedding with Biased Graph Observations
N Wang, L Lin, J Li, H Wang
Proceedings of the ACM Web Conference 2022, 1423–1433, 2022
282022
Spectral Augmentation for Self-supervised Learning on Graphs
L Lin, J Chen, H Wang
International Conference on Learning Representations (ICLR), 2023
242023
Graph structural attack by perturbing spectral distance
L Lin, E Blaser, H Wang
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
182022
Graph Attention Networks over Edge Content-Based Channels
L Lin, H Wang
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
182020
JNET: Learning User Representations via Joint Network Embedding and Topic Embedding
L Gong, L Lin, W Song, H Wang
Proceedings of the 13th International Conference on Web Search and Data …, 2020
182020
Communication-Compressed Adaptive Gradient Method for Distributed Nonconvex Optimization
Y Wang, L Lin, J Chen
Proceedings of The 25th International Conference on Artificial Intelligence …, 2022
112022
Sequential Learning with Active Partial Labeling for Building Metadata
L Lin, Z Luo, D Hong, H Wang
Proceedings of the 6th ACM International Conference on Systems for Energy …, 2019
92019
On the Safety of Open-Sourced Large Language Models: Does Alignment Really Prevent Them From Being Misused?
H Zhang, Z Guo, H Zhu, B Cao, L Lin, J Jia, J Chen, D Wu
arXiv preprint arXiv:2310.01581, 2023
62023
Graph Embedding with Hierarchical Attentive Membership
L Lin, E Blaser, H Wang
Proceedings of the 15th ACM International Conference on Web Search and Data …, 2022
62022
Learning Personalized Topical Compositions with Item Response Theory
L Lin, L Gong, H Wang
Proceedings of the Twelfth ACM International Conference on Web Search and …, 2019
52019
Graph Contrastive Backdoor Attacks
H Zhang, J Chen, L Lin, J Jia, D Wu
Proceedings of the 40th International Conference on Machine Learning (ICML), 2023
32023
FusionRetro: Molecule Representation Fusion via In-Context Learning for Retrosynthetic Planning
S Liu, Z Tu, M Xu, Z Zhang, L Lin, Z Ying, J Tang, P Zhao, D Wu
Proceedings of the 40th International Conference on Machine Learning (ICML), 2023
3*2023
Globally Interpretable Graph Learning via Distribution Matching
Y Nian, Y Chang, W Jin, L Lin
The 2024 ACM Web Conference, 2024
2*2024
A3FL: Adversarially adaptive backdoor attacks to federated learning
H Zhang, J Jia, J Chen, L Lin, D Wu
Thirty-seventh Conference on Neural Information Processing Systems, 2023
22023
How powerful is implicit denoising in graph neural networks
S Liu, Z Ying, H Dong, L Lin, J Chen, D Wu
22022
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Artikelen 1–19