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Title: Lixu Wang - Homepage

Open Graph Title: Lixu Wang

Mail addresses
lixuwang2025@u.northwestern.edu
lixuwang2025@u.northwestern.edu

Opengraph URL: https://conditionwang.github.io/

direct link

Domain: conditionwang.github.io

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og:site_nameLixu Wang
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Links:

Homepagehttps://conditionwang.github.io/#about-me
About Mehttps://conditionwang.github.io/#about-me
Newshttps://conditionwang.github.io/#-news
Publicationshttps://conditionwang.github.io/#-publications
Honors and Awardshttps://conditionwang.github.io/#-honors-and-awards
Educationshttps://conditionwang.github.io/#-educations
Invited Talkshttps://conditionwang.github.io/#-invited-talks
Serviceshttps://conditionwang.github.io/#-services
Githubhttps://github.com/conditionWang
Google Scholarhttps://scholar.google.com/citations?user=xuSbmssAAAAJ&hl=en&oi=sra
https://github.com/conditionWang
https://scholar.google.com/citations?user=xuSbmssAAAAJ&hl=en&oi=sra
Prof. Wei Donghttps://weidong.hk/
Prof. Xiao Wanghttps://wangxiao1254.github.io/
Prof. Qi Zhuhttps://scholar.google.com/citations?user=TN09YMcAAAAJ&hl=en
IBM PhD Fellowshiphttps://researchweb.draco.res.ibm.com/university/awards/fellowships-awardees.html
Prof. Xiaoyu Jihttps://sites.google.com/site/xiaoyuijh
Prof. Wenyuan Xuhttps://scholar.google.com/citations?hl=en&user=FCsdj0YAAAAJ&view_op=list_works
Phase-driven Generalization for Nonstationary Time Serieshttps://arxiv.org/abs/2402.05960
Split Adaptation for Pre-trained Vision Transformershttps://arxiv.org/abs/2503.00441
On Large Language Model Continual Unlearninghttps://arxiv.org/abs/2407.10223
Shallow Flow Matching for Coarse-to-Fine Text-to-Speech Synthesishttps://arxiv.org/abs/2505.12226
FDPT: Federated Discrete Prompt Tuning for Black-Box Visual-Language Modelshttps://arxiv.org/abs/2411.00985
Can We Trust Embodied Agents? Exploring Backdoor Attacks against Embodied LLM-Based Decision-Making Systemshttps://arxiv.org/abs/2405.20774
The Eye of Sherlock Holmes: Uncovering User Private Attribute Profiling via Vision-Language Model Agentic Frameworkhttps://arxiv.org/abs/2505.19139
Efficient Detection Framework Adaptation for Edge Computing: A Plug-and-play Neural Network Toolbox Enabling Edge Deploymenthttps://arxiv.org/abs/2412.18230
Semantic Feature Learning for Universal Unsupervised Cross-Domain Retrievalhttps://arxiv.org/abs/2403.05690
DACR: Distribution-Augmented Contrastive Reconstruction for Time-Series Anomaly Detectionhttps://ieeexplore.ieee.org/abstract/document/10447891/
A Survey of Federated Unlearning: A Taxonomy, Challenges, and Future Directionshttps://arxiv.org/abs/2310.19218
Deja Vu: Continual Model Generalization for Unseen Domainshttps://openreview.net/forum?id=L8iZdgeKmI6
PolicyCleanse: Backdoor Detection and Mitigation for Competitive Reinforcement Learninghttps://openaccess.thecvf.com/content/ICCV2023/html/Guo_PolicyCleanse_Backdoor_Detection_and_Mitigation_for_Competitive_Reinforcement_Learning_ICCV_2023_paper.html
Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Handhttps://proceedings.neurips.cc/paper_files/paper/2023/hash/aa6287ca31ae1474ea802342d0c8ba63-Abstract-Conference.html
Federated Class-Incremental Learninghttps://openaccess.thecvf.com/content/CVPR2022/html/Dong_Federated_Class-Incremental_Learning_CVPR_2022_paper.html
Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Authorizationhttps://openreview.net/forum?id=tYRrOdSnVUy
InOR-Net: Incremental 3D Object Recognition Network for Point Cloud Representationhttps://ieeexplore.ieee.org/abstract/document/10054469
Weak Adaptation Learning: Addressing Cross-domain Data Insufficiency with Weak Annotatorhttps://openaccess.thecvf.com/content/ICCV2021/html/Xu_Weak_Adaptation_Learning_Addressing_Cross-Domain_Data_Insufficiency_With_Weak_Annotator_ICCV_2021_paper.html
Addressing Class Imbalance in Federated Learninghttps://ojs.aaai.org/index.php/AAAI/article/view/17219
mID: Tracing Screen Photos via Moire Patternshttps://www.usenix.org/conference/usenixsecurity21/presentation/cheng-yushi
IBM Ph.D. Fellowshiphttps://research.ibm.com/university/awards/fellowships-awardees.html

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