Lu Lin

According to our database, Lu Lin authored at least 15 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A3FL: Adversarially Adaptive Backdoor Attacks to Federated Learning.

Hangfan Zhang, Jinyuan Jia, Jinghui Chen, Lu Lin, Dinghao Wu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Graph Contrastive Backdoor Attacks.

Hangfan Zhang, Jinghui Chen, Lu Lin, Jinyuan Jia, Dinghao Wu

Proceedings of the International Conference on Machine Learning, 2023

FusionRetro: Molecule Representation Fusion via In-Context Learning for Retrosynthetic Planning.

Songtao Liu, Zhengkai Tu, Minkai Xu, Zuobai Zhang, Lu Lin, Rex Ying, Jian Tang, Peilin Zhao, Dinghao Wu

Proceedings of the International Conference on Machine Learning, 2023

Spectral Augmentation for Self-Supervised Learning on Graphs.

Lu Lin, Jinghui Chen, Hongning Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Unbiased Graph Embedding with Biased Graph Observations.

Nan Wang, Lu Lin, Jundong Li, Hongning Wang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Graph Embedding with Hierarchical Attentive Membership.

Lu Lin, Ethan Blaser, Hongning Wang

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Graph Structural Attack by Perturbing Spectral Distance.

Lu Lin, Ethan Blaser, Hongning Wang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Communication-Efficient Adaptive Federated Learning.

Yujia Wang, Lu Lin, Jinghui Chen

Proceedings of the International Conference on Machine Learning, 2022

Communication-Compressed Adaptive Gradient Method for Distributed Nonconvex Optimization.

Yujia Wang, Lu Lin, Jinghui Chen

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2020

JNET: Learning User Representations via Joint Network Embedding and Topic Embedding.

Lin Gong, Lu Lin, Weihao Song, Hongning Wang

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Graph Attention Networks over Edge Content-Based Channels.

Lu Lin, Hongning Wang

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Learning Personalized Topical Compositions with Item Response Theory.

Lu Lin, Lin Gong, Hongning Wang

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Sequential Learning with Active Partial Labeling for Building Metadata.

Lu Lin, Zheng Luo, Dezhi Hong, Hongning Wang

Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, 2019

2018

Road Traffic Speed Prediction: A Probabilistic Model Fusing Multi-Source Data.

Lu Lin, Jianxin Li, Feng Chen, Jieping Ye, Jinpeng Huai

IEEE Trans. Knowl. Data Eng., 2018

2014

Opinion Mining and Sentiment Analysis in Social Networks: A Retweeting Structure-Aware Approach.

Lu Lin, Jianxin Li, Richong Zhang, Weiren Yu, Chenggen Sun

Proceedings of the 7th IEEE/ACM International Conference on Utility and Cloud Computing, 2014