Lin, Lu

17 publications

ICML 2025 "Why Is There a Tumor?": Tell Me the Reason, Show Me the Evidence Mengmeng Ma, Tang Li, Yunxiang Peng, Lu Lin, Volkan Beylergil, Binsheng Zhao, Oguz Akin, Xi Peng

ICML 2025 AdvI2I: Adversarial Image Attack on Image-to-Image Diffusion Models Yaopei Zeng, Yuanpu Cao, Bochuan Cao, Yurui Chang, Jinghui Chen, Lu Lin

NeurIPS 2025 Understanding and Rectifying Safety Perception Distortion in VLMs Xiaohan Zou, Jian Kang, George Kesidis, Lu Lin

ICLR 2024 Backdoor Contrastive Learning via Bi-Level Trigger Optimization Weiyu Sun, Xinyu Zhang, Hao Lu, Ying-Cong Chen, Ting Wang, Jinghui Chen, Lu Lin

ICML 2024 Graph Adversarial Diffusion Convolution Songtao Liu, Jinghui Chen, Tianfan Fu, Lu Lin, Marinka Zitnik, Dinghao Wu

NeurIPS 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

IJCAI 2024 SCTrans: Multi-Scale scRNA-Seq Sub-Vector Completion Transformer for Gene-Selective Cell Type Annotation Lu Lin, Wen Xue, Xindian Wei, Wenjun Shen, Cheng Liu, Si Wu, Hau-San Wong

NeurIPS 2023 A3FL: Adversarially Adaptive Backdoor Attacks to Federated Learning Hangfan Zhang, Jinyuan Jia, Jinghui Chen, Lu Lin, Dinghao Wu

ICML 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

ICML 2023 Graph Contrastive Backdoor Attacks Hangfan Zhang, Jinghui Chen, Lu Lin, Jinyuan Jia, Dinghao Wu

ICLR 2023 Spectral Augmentation for Self-Supervised Learning on Graphs Lu Lin, Jinghui Chen, Hongning Wang

AISTATS 2022 Communication-Compressed Adaptive Gradient Method for Distributed Nonconvex Optimization Yujia Wang, Lu Lin, Jinghui Chen

ICML 2022 Communication-Efficient Adaptive Federated Learning Yujia Wang, Lu Lin, Jinghui Chen

NeurIPSW 2022 How Powerful Is Implicit Denoising in Graph Neural Networks Songtao Liu, Zhitao Ying, Hanze Dong, Lu Lin, Jinghui Chen, Dinghao Wu

NeurIPSW 2022 Spectrum Guided Topology Augmentation for Graph Contrastive Learning Lu Lin, Jinghui Chen, Hongning Wang

JMLR 2019 Robust Estimation of Derivatives Using Locally Weighted Least Absolute Deviation Regression WenWu Wang, Ping Yu, Lu Lin, Tiejun Tong

JMLR 2015 Derivative Estimation Based on Difference Sequence via Locally Weighted Least Squares Regression WenWu Wang, Lu Lin