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Conferences
Lingjuan Lyu
45 papers at tracked venues · 38 at CORE A* · active 2024–2026
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ORCID 0000-0003-3170-4994 ↗
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Venues
NeurIPS
×9
CVPR
×8
ICML
×8
ICLR
×4
AAAI
×3
ECCV
×3
ICCV
×2
SIGKDD
×2
ACM MM
×1
ECML-PKDD
×1
EMNLP
×1
IJCAI
×1
NAACL
×1
WWW
×1
Frequent coauthors
Jiaqi Wang
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Zhenting Wang
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×4
Weiming Zhuang
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×3
Jie Ren
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×3
Jiayi Luo
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×1
Siyuan Cheng
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Shunchang Liu
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Tongyu Wen
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Yuchen Liu
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Zihan Zhou
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Yan Gao
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Wei Zhang
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Papers
Towards Effective, Stealthy, and Persistent Backdoor Attacks Targeting Graph Foundation Models
AAAI 2026
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Jiayi Luo
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Argus: A Compact and Versatile Foundation Model for Vision
CVPR 2025
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Weiming Zhuang
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Asymmetrical Reciprocity-based Federated Learning for Resolving Disparities in Medical Diagnosis
SIGKDD 2025
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Jiaqi Wang
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CO-SPY: Combining Semantic and Pixel Features to Detect Synthetic Images by AI
CVPR 2025
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Siyuan Cheng
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CopyJudge: Automated Copyright Infringement Identification and Mitigation in Text-to-Image Diffusion Models
ACM MM 2025
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Shunchang Liu
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Defending against Indirect Prompt Injection by Instruction Detection
EMNLP 2025
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Tongyu Wen
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Enhancing Foundation Models with Federated Domain Knowledge Infusion
ICML 2025
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Jiaqi Wang
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Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning
AAAI 2025
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Yuchen Liu
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Flexible, Efficient, and Stable Adversarial Attacks on Machine Unlearning
ICML 2025
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Zihan Zhou
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FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models
NeurIPS 2025
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Yan Gao
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How to Evaluate and Mitigate IP Infringement in Visual Generative AI?
ICML 2025
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Zhenting Wang
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LIFEBENCH: Evaluating Length Instruction Following in Large Language Models
NeurIPS 2025
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Wei Zhang
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MLLM-as-a-Judge for Image Safety without Human Labeling
CVPR 2025
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Zhenting Wang
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MixA: A Mixed Attention Approach with Stable Lightweight Linear Attention to Enhance Efficiency of Vision Transformers at the Edge
ICCV 2025
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Sabbir Ahmed
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Personalized Federated Learning Under Local Supervision
ICCV 2025
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Qiqi Liu
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PolypSense3D: A Multi-Source Benchmark Dataset for Depth-Aware Polyp Size Measurement in Endoscopy
NeurIPS 2025
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Ruyu Liu
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Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective
AAAI 2025
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Zhongjian Zhang
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Revisiting Source-Free Domain Adaptation: Insights into Representativeness, Generalization, and Variety
CVPR 2025
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Ronghang Zhu
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Self-Comparison for Dataset-Level Membership Inference in Large (Vision-)Language Model
WWW 2025
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Jie Ren
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Six-CD: Benchmarking Concept Removals for Text-to-image Diffusion Models
CVPR 2025
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Jie Ren
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StelLA: Subspace Learning in Low-rank Adaptation using Stiefel Manifold
NeurIPS 2025
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Zhizhong Li
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Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget
CVPR 2025
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Vikash Sehwag
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Unlearning through Knowledge Overwriting: Reversible Federated Unlearning via Selective Sparse Adapter
CVPR 2025
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Zhengyi Zhong
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A Simple Background Augmentation Method for Object Detection with Diffusion Model
ECCV 2024
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Yuhang Li
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Backdoor Attacks with Input-Unique Triggers in NLP
ECML-PKDD 2024
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Xukun Zhou
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Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning
ICML 2024
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Jiaqi Wang
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COALA: A Practical and Vision-Centric Federated Learning Platform
ICML 2024
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Weiming Zhuang
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CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper Influence
NeurIPS 2024
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Chaochao Chen
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DECO-Bench: Unified Benchmark for Decoupled Task-Agnostic Synthetic Data Release
NeurIPS 2024
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Farzaneh Askari
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DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models
ICLR 2024
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Zhenting Wang
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Defending Against Weight-Poisoning Backdoor Attacks for Parameter-Efficient Fine-Tuning
NAACL 2024
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Shuai Zhao
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Detecting, Explaining, and Mitigating Memorization in Diffusion Models
ICLR 2024
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Yuxin Wen
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Effective Federated Graph Matching
ICML 2024
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Yang Zhou
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FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection
NeurIPS 2024
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Jiaqi Wang
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FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations
NeurIPS 2024
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Ziyao Wang
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FedMef: Towards Memory-Efficient Federated Dynamic Pruning
CVPR 2024
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Hong Huang
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FedP3: Federated Personalized and Privacy-friendly Network Pruning under Model Heterogeneity
ICLR 2024
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Kai Yi
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FedSAC: Dynamic Submodel Allocation for Collaborative Fairness in Federated Learning
SIGKDD 2024
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Zihui Wang
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FedWon: Triumphing Multi-domain Federated Learning Without Normalization
ICLR 2024
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Weiming Zhuang
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Finding Needles in a Haystack: A Black-Box Approach to Invisible Watermark Detection
ECCV 2024
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Minzhou Pan
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How to Trace Latent Generative Model Generated Images without Artificial Watermark?
ICML 2024
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Zhenting Wang
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PerceptAnon: Exploring the Human Perception of Image Anonymization Beyond Pseudonymization for GDPR
ICML 2024
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Kartik Patwari
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Protecting Split Learning by Potential Energy Loss
IJCAI 2024
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Fei Zheng
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Unveiling and Mitigating Memorization in Text-to-Image Diffusion Models Through Cross Attention
ECCV 2024
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Jie Ren
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pFedClub: Controllable Heterogeneous Model Aggregation for Personalized Federated Learning
NeurIPS 2024
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Jiaqi Wang
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