| 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 | 136 | 2017 |
| Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM B Cao, Y Cao, L Lin, J Chen Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024 | 127 | 2024 |
| Communication-Efficient Adaptive Federated Learning Y Wang, L Lin, J Chen Proceedings of the 39th International Conference on Machine Learning (ICML) 162, 2022 | 109 | 2022 |
| Spectral Augmentation for Self-supervised Learning on Graphs L Lin, J Chen, H Wang International Conference on Learning Representations (ICLR), 2023 | 54 | 2023 |
| 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 | 44 | 2022 |
| 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 | 44 | 2014 |
| 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 | 33 | 2022 |
| 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 (NeurIPS), 2023 | 31 | 2023 |
| Jailbreak open-sourced large language models via enforced decoding H Zhang, Z Guo, H Zhu, B Cao, L Lin, J Jia, J Chen, D Wu Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024 | 27* | 2024 |
| Graph Attention Networks over Edge Content-Based Channels L Lin, H Wang Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 25 | 2020 |
| 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 | 21 | 2023 |
| 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 | 19 | 2023 |
| 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 | 19 | 2020 |
| 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 | 18 | 2022 |
| Personalized steering of large language models: Versatile steering vectors through bi-directional preference optimization Y Cao, T Zhang, B Cao, Z Yin, L Lin, F Ma, J Chen Advances in Neural Information Processing Systems 37, 49519-49551, 2025 | 13 | 2025 |
| 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 | 11 | 2019 |
| 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 | 9 | 2022 |
| Wordgame: Efficient & effective llm jailbreak via simultaneous obfuscation in query and response T Zhang, B Cao, Y Cao, L Lin, P Mitra, J Chen arXiv preprint arXiv:2405.14023, 2024 | 7 | 2024 |
| Globally Interpretable Graph Learning via Distribution Matching Y Nian, Y Chang, W Jin, L Lin Proceedings of the ACM on Web Conference 2024, 992–1002, 2024 | 7* | 2024 |
| How powerful is implicit denoising in graph neural networks S Liu, R Ying, H Dong, L Lin, J Chen, D Wu arXiv preprint arXiv:2209.14514, 2022 | 6 | 2022 |
Jinghui ChenAssistant Professor of Information Sciences and Technology, Penn State UniversityPotvrđena adresa e-pošte na psu.edu