Lu Lin

According to our database, Lu Lin authored at least 32 papers between 2014 and 2025.

Collaborative distances:

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

2025

GuardDoor: Safeguarding Against Malicious Diffusion Editing via Protective Backdoors.

Yaopei Zeng, Yuanpu Cao, Lu Lin

CoRR, March, 2025

WordGame: Efficient & Effective LLM Jailbreak via Simultaneous Obfuscation in Query and Response.

Tianrong Zhang, Bochuan Cao, Yuanpu Cao, Lu Lin, Prasenjit Mitra, Jinghui Chen

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

JoPA: Explaining Large Language Model's Generation via Joint Prompt Attribution.

Yurui Chang, Bochuan Cao, Yujia Wang, Jinghui Chen, Lu Lin

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Monitoring Decoding: Mitigating Hallucination via Evaluating the Factuality of Partial Response during Generation.

Yurui Chang, Bochuan Cao, Lu Lin

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

AdvI2I: Adversarial Image Attack on Image-to-Image Diffusion models.

Yaopei Zeng, Yuanpu Cao, Bochuan Cao, Yurui Chang, Jinghui Chen, Lu Lin

CoRR, 2024

Mitigating Graph Covariate Shift via Score-based Out-of-distribution Augmentation.

Bohan Wang, Yurui Chang, Lu Lin

CoRR, 2024

XPrompt:Explaining Large Language Model's Generation via Joint Prompt Attribution.

Yurui Chang, Bochuan Cao, Yujia Wang, Jinghui Chen, Lu Lin

CoRR, 2024

Graph Contrastive Learning via Interventional View Generation.

Zengyi Wo, Minglai Shao, Wenjun Wang, Xuan Guo, Lu Lin

Proceedings of the ACM on Web Conference 2024, 2024

Globally Interpretable Graph Learning via Distribution Matching.

Yi Nian, Yurui Chang, Wei Jin, Lu Lin

Proceedings of the ACM on Web Conference 2024, 2024

Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization.

Yuanpu Cao, Tianrong Zhang, Bochuan Cao, Ziyi Yin, Lu Lin, Fenglong Ma, Jinghui Chen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Graph Adversarial Diffusion Convolution.

Songtao Liu, Jinghui Chen, Tianfan Fu, Lu Lin, Marinka Zitnik, Dinghao Wu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Backdoor Contrastive Learning via Bi-level Trigger Optimization.

Weiyu Sun, Xinyu Zhang, Hao Lu, Ying-Cong Chen, Ting Wang, Jinghui Chen, Lu Lin

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Jailbreak Open-Sourced Large Language Models via Enforced Decoding.

Hangfan Zhang, Zhimeng Guo, Huaisheng Zhu, Bochuan Cao, Lu Lin, Jinyuan Jia, Jinghui Chen, Dinghao Wu

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM.

Bochuan Cao, Yuanpu Cao, Lu Lin, Jinghui Chen

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

On the Safety of Open-Sourced Large Language Models: Does Alignment Really Prevent Them From Being Misused?

Hangfan Zhang, Zhimeng Guo, Huaisheng Zhu, Bochuan Cao, Lu Lin, Jinyuan Jia, Jinghui Chen, Dinghao Wu

CoRR, 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

Metro: Memory-Enhanced Transformer for Retrosynthetic Planning via Reaction Tree.

Songtao Liu, Rex Ying, Zuobai Zhang, Peilin Zhao, Jian Tang, Lu Lin, Dinghao Wu

CoRR, 2022

How Powerful is Implicit Denoising in Graph Neural Networks.

Songtao Liu, Rex Ying, Hanze Dong, Lu Lin, Jinghui Chen, Dinghao Wu

CoRR, 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