Lu Lin - RankMe

55 papers A* 15A 5Misc 1Journal 27Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Exposing Vulnerabilities in Explanation for Time Series Classifiers via Dual-Target Attacks. CoRR Bohan Wang, Zewen Liu, Lu Lin, Hui Liu, Li Xiong, Ming Jin, Wei Jin
2025	A*	`conf`	AdvI2I: Adversarial Image Attack on Image-to-Image Diffusion Models. ICML Yaopei Zeng, Yuanpu Cao, Bochuan Cao, Yurui Chang, Jinghui Chen, Lu Lin
2025	—	`conf`	Boosting E-commerce Content Diversity: A Graph-based RAG Approach with User Reviews. KDD (2) Jiaxi Yang, Yiling Jia, Carl Yang, Yi Liang, Lu Lin
2025	A	`conf`	FROG: Fair Removal on Graph. CIKM Ziheng Chen, Jiali Cheng, Hadi Amiri, Kaushiki Nag, Lu Lin, Sijia Liu, Gabriele Tolomei, Xiangguo Sun
2025	J	`jnl`	FROG: Fair Removal on Graphs. CoRR Ziheng Chen, Jiali Cheng, Gabriele Tolomei, Sijia Liu, Hadi Amiri, Yu Wang, Kaushiki Nag, Lu Lin
2025	J	`jnl`	GuardDoor: Safeguarding Against Malicious Diffusion Editing via Protective Backdoors. CoRR Yaopei Zeng, Yuanpu Cao, Lu Lin
2025	—	`conf`	JoPA: Explaining Large Language Model's Generation via Joint Prompt Attribution. ACL (1) Yurui Chang, Bochuan Cao, Yujia Wang, Jinghui Chen, Lu Lin
2025	—	`conf`	Monitoring Decoding: Mitigating Hallucination via Evaluating the Factuality of Partial Response during Generation. ACL (Findings) Yurui Chang, Bochuan Cao, Lu Lin
2025	J	`jnl`	Monitoring Decoding: Mitigating Hallucination via Evaluating the Factuality of Partial Response during Generation. CoRR Yurui Chang, Bochuan Cao, Lu Lin
2025	A*	`conf`	Phi: Preference Hijacking in Multi-modal Large Language Models at Inference Time. EMNLP Yifan Lan, Yuanpu Cao, Weitong Zhang, Lu Lin, Jinghui Chen
2025	J	`jnl`	Phi: Preference Hijacking in Multi-modal Large Language Models at Inference Time. CoRR Yifan Lan, Yuanpu Cao, Weitong Zhang, Lu Lin, Jinghui Chen
2025	J	`jnl`	Topological Structure Learning Should Be A Research Priority for LLM-Based Multi-Agent Systems. CoRR Jiaxi Yang, Mengqi Zhang, Yiqiao Jin, Hao Chen, Qingsong Wen, Lu Lin, Yi He, Weijie Xu, James Evans, Jindong Wang
2025	J	`jnl`	Understanding and Rectifying Safety Perception Distortion in VLMs. CoRR Xiaohan Zou, Jian Kang, George Kesidis, Lu Lin
2025	—	`conf`	WordGame: Efficient & Effective LLM Jailbreak via Simultaneous Obfuscation in Query and Response. NAACL (Findings) Tianrong Zhang, Bochuan Cao, Yuanpu Cao, Lu Lin, Prasenjit Mitra, Jinghui Chen
2024	J	`jnl`	AdvI2I: Adversarial Image Attack on Image-to-Image Diffusion models. CoRR Yaopei Zeng, Yuanpu Cao, Bochuan Cao, Yurui Chang, Jinghui Chen, Lu Lin
2024	J	`jnl`	Adversarially Robust Industrial Anomaly Detection Through Diffusion Model. CoRR Yuanpu Cao, Lu Lin, Jinghui Chen
2024	A*	`conf`	Backdoor Contrastive Learning via Bi-level Trigger Optimization. ICLR Weiyu Sun, Xinyu Zhang, Hao Lu, Ying-Cong Chen, Ting Wang, Jinghui Chen, Lu Lin
2024	J	`jnl`	Backdoor Contrastive Learning via Bi-level Trigger Optimization. CoRR Weiyu Sun, Xinyu Zhang, Hao Lu, Yingcong Chen, Ting Wang, Jinghui Chen, Lu Lin
2024	—	`conf`	Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM. ACL (1) Bochuan Cao, Yuanpu Cao, Lu Lin, Jinghui Chen
2024	A*	`conf`	Globally Interpretable Graph Learning via Distribution Matching. WWW Yi Nian, Yurui Chang, Wei Jin, Lu Lin
2024	A*	`conf`	Graph Adversarial Diffusion Convolution. ICML Songtao Liu, Jinghui Chen, Tianfan Fu, Lu Lin, Marinka Zitnik, Dinghao Wu
2024	J	`jnl`	Graph Adversarial Diffusion Convolution. CoRR Songtao Liu, Jinghui Chen, Tianfan Fu, Lu Lin, Marinka Zitnik, Dinghao Wu
2024	A*	`conf`	Graph Contrastive Learning via Interventional View Generation. WWW Zengyi Wo, Minglai Shao, Wenjun Wang, Xuan Guo, Lu Lin
2024	—	`conf`	Jailbreak Open-Sourced Large Language Models via Enforced Decoding. ACL (1) Hangfan Zhang, Zhimeng Guo, Huaisheng Zhu, Bochuan Cao, Lu Lin, Jinyuan Jia, Jinghui Chen, Dinghao Wu
2024	J	`jnl`	Mitigating Graph Covariate Shift via Score-based Out-of-distribution Augmentation. CoRR Bohan Wang, Yurui Chang, Lu Lin
2024	A*	`conf`	Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization. NeurIPS Yuanpu Cao, Tianrong Zhang, Bochuan Cao, Ziyi Yin, Lu Lin, Fenglong Ma, Jinghui Chen
2024	J	`jnl`	Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization. CoRR Yuanpu Cao, Tianrong Zhang, Bochuan Cao, Ziyi Yin, Lu Lin, Fenglong Ma, Jinghui Chen
2024	J	`jnl`	WordGame: Efficient & Effective LLM Jailbreak via Simultaneous Obfuscation in Query and Response. CoRR Tianrong Zhang, Bochuan Cao, Yuanpu Cao, Lu Lin, Prasenjit Mitra, Jinghui Chen
2024	J	`jnl`	XPrompt:Explaining Large Language Model's Generation via Joint Prompt Attribution. CoRR Yurui Chang, Bochuan Cao, Yujia Wang, Jinghui Chen, Lu Lin
2023	A*	`conf`	A3FL: Adversarially Adaptive Backdoor Attacks to Federated Learning. NeurIPS Hangfan Zhang, Jinyuan Jia, Jinghui Chen, Lu Lin, Dinghao Wu
2023	J	`jnl`	Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM. CoRR Bochuan Cao, Yuanpu Cao, Lu Lin, Jinghui Chen
2023	A*	`conf`	FusionRetro: Molecule Representation Fusion via In-Context Learning for Retrosynthetic Planning. ICML Songtao Liu, Zhengkai Tu, Minkai Xu, Zuobai Zhang, Lu Lin, Rex Ying, Jian Tang, Peilin Zhao, Dinghao Wu
2023	A*	`conf`	Graph Contrastive Backdoor Attacks. ICML Hangfan Zhang, Jinghui Chen, Lu Lin, Jinyuan Jia, Dinghao Wu
2023	J	`jnl`	On the Safety of Open-Sourced Large Language Models: Does Alignment Really Prevent Them From Being Misused? CoRR Hangfan Zhang, Zhimeng Guo, Huaisheng Zhu, Bochuan Cao, Lu Lin, Jinyuan Jia, Jinghui Chen, Dinghao Wu
2023	A*	`conf`	Spectral Augmentation for Self-Supervised Learning on Graphs. ICLR Lu Lin, Jinghui Chen, Hongning Wang
2022	A	`conf`	Communication-Compressed Adaptive Gradient Method for Distributed Nonconvex Optimization. AISTATS Yujia Wang, Lu Lin, Jinghui Chen
2022	A*	`conf`	Communication-Efficient Adaptive Federated Learning. ICML Yujia Wang, Lu Lin, Jinghui Chen
2022	J	`jnl`	Communication-Efficient Adaptive Federated Learning. CoRR Yujia Wang, Lu Lin, Jinghui Chen
2022	A	`conf`	Graph Embedding with Hierarchical Attentive Membership. WSDM Lu Lin, Ethan Blaser, Hongning Wang
2022	A*	`conf`	Graph Structural Attack by Perturbing Spectral Distance. KDD Lu Lin, Ethan Blaser, Hongning Wang
2022	J	`jnl`	How Powerful is Implicit Denoising in Graph Neural Networks. CoRR Songtao Liu, Rex Ying, Hanze Dong, Lu Lin, Jinghui Chen, Dinghao Wu
2022	J	`jnl`	Metro: Memory-Enhanced Transformer for Retrosynthetic Planning via Reaction Tree. CoRR Songtao Liu, Rex Ying, Zuobai Zhang, Peilin Zhao, Jian Tang, Lu Lin, Dinghao Wu
2022	J	`jnl`	Spectral Augmentation for Self-Supervised Learning on Graphs. CoRR Lu Lin, Jinghui Chen, Hongning Wang
2022	A*	`conf`	Unbiased Graph Embedding with Biased Graph Observations. WWW Nan Wang, Lu Lin, Jundong Li, Hongning Wang
2021	J	`jnl`	Communication-Compressed Adaptive Gradient Method for Distributed Nonconvex Optimization. CoRR Yujia Wang, Lu Lin, Jinghui Chen
2021	J	`jnl`	Graph Embedding with Hierarchical Attentive Membership. CoRR Lu Lin, Ethan Blaser, Hongning Wang
2021	J	`jnl`	Graph Structural Attack by Spectral Distance. CoRR Lu Lin, Ethan Blaser, Hongning Wang
2021	J	`jnl`	Unbiased Graph Embedding with Biased Graph Observations. CoRR Nan Wang, Lu Lin, Jundong Li, Hongning Wang
2020	A*	`conf`	Graph Attention Networks over Edge Content-Based Channels. KDD Lu Lin, Hongning Wang
2020	A	`conf`	JNET: Learning User Representations via Joint Network Embedding and Topic Embedding. WSDM Lin Gong, Lu Lin, Weihao Song, Hongning Wang
2019	J	`jnl`	JNET: Learning User Representations via Joint Network Embedding and Topic Embedding. CoRR Lin Gong, Lu Lin, Weihao Song, Hongning Wang
2019	A	`conf`	Learning Personalized Topical Compositions with Item Response Theory. WSDM Lu Lin, Lin Gong, Hongning Wang
2019	—	`conf`	Sequential Learning with Active Partial Labeling for Building Metadata. BuildSys Lu Lin, Zheng Luo, Dezhi Hong, Hongning Wang
2018	J	`jnl`	Road Traffic Speed Prediction: A Probabilistic Model Fusing Multi-Source Data. IEEE Trans. Knowl. Data Eng. Lu Lin, Jianxin Li, Feng Chen, Jieping Ye, Jinpeng Huai
2014	Misc	`conf`	Opinion Mining and Sentiment Analysis in Social Networks: A Retweeting Structure-Aware Approach. UCC Lu Lin, Jianxin Li, Richong Zhang, Weiren Yu, Chenggen Sun