Wenxuan Bao - RankMe

49 papers A* 10A 3Journal 33Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Agentic Reasoning for Large Language Models. CoRR Tianxin Wei, Ting-Wei Li, Zhining Liu, Xuying Ning, Ze Yang, Jiaru Zou, Zhichen Zeng, Ruizhong Qiu, Xiao Lin, Dongqi Fu, Zihao Li, Mengting Ai, Duo Zhou, Wenxuan Bao, Yunzhe Li, Gaotang Li, Cheng Qian, Yu Wang, Xiangru Tang, Yin Xiao, Liri Fang, Hui Liu, Xianfeng Tang, Yuji Zhang, Chi Wang, Jiaxuan You, Heng Ji, Hanghang Tong, Jingrui He
2026	J	`jnl`	DiffKGW: Stealthy and Robust Diffusion Model Watermarking. Trans. Mach. Learn. Res. Tianxin Wei, Ruizhong Qiu, Yifan Chen, Yunzhe Qi, Jiacheng Lin, Wenxuan Bao, Wenju Xu, Sreyashi Nag, Ruirui Li, Hanqing Lu, Zhengyang Wang, Chen Luo, Hui Liu, Suhang Wang, Jingrui He, Qi He, Xianfeng Tang
2026	A*	`conf`	FeDecider: An LLM-Based Framework for Federated Cross-Domain Recommendation. WWW Xinrui He, Ting-Wei Li, Tianxin Wei, Xuying Ning, Xinyu He, Wenxuan Bao, Hanghang Tong, Jingrui He
2026	J	`jnl`	FeDecider: An LLM-Based Framework for Federated Cross-Domain Recommendation. CoRR Xinrui He, Ting-Wei Li, Tianxin Wei, Xuying Ning, Xinyu He, Wenxuan Bao, Hanghang Tong, Jingrui He
2026	A*	`conf`	Panda: Test-Time Adaptation with Negative Data Augmentation. AAAI Ruxi Deng, Wenxuan Bao, Tianxin Wei, Jingrui He
2026	J	`jnl`	Pave Your Own Path: Graph Gradual Domain Adaptation on Fused Gromov-Wasserstein Geodesics. Trans. Mach. Learn. Res. Zhichen Zeng, Ruizhong Qiu, Wenxuan Bao, Tianxin Wei, Xiao Lin, Yuchen Yan, Tarek F. Abdelzaher, Jiawei Han, Hanghang Tong
2026	J	`jnl`	Subspace Alignment for Vision-Language Model Test-time Adaptation. CoRR Zhichen Zeng, Wenxuan Bao, Xiao Lin, Ruizhong Qiu, Tianxin Wei, Xuying Ning, Yuchen Yan, Chen Luo, Monica Xiao Cheng, Jingrui He, Hanghang Tong
2025	A*	`conf`	Ask, and it shall be given: On the Turing completeness of prompting. ICLR Ruizhong Qiu, Zhe Xu, Wenxuan Bao, Hanghang Tong
2025	—	`conf`	Connecting Domains and Contrasting Samples: A Ladder for Domain Generalization. KDD (1) Tianxin Wei, Yifan Chen, Xinrui He, Wenxuan Bao, Jingrui He
2025	J	`jnl`	Connecting Domains and Contrasting Samples: A Ladder for Domain Generalization. CoRR Tianxin Wei, Yifan Chen, Xinrui He, Wenxuan Bao, Jingrui He
2025	J	`jnl`	DGL-RSIS: Decoupling Global Spatial Context and Local Class Semantics for Training-Free Remote Sensing Image Segmentation. CoRR Boyi Li, Ce Zhang, Richard M. Timmerman, Wenxuan Bao
2025	A	`conf`	Enabling Plausible Deniability in Flash-based Storage through Data Permutation. ACSAC Weidong Zhu, Wenxuan Bao, Vincent Bindschaedler, Sara Rampazzi, Kevin R. B. Butler
2025	—	`conf`	Inference Attacks for X-Vector Speaker Anonymization. SP (Workshops) Luke A. Bauer, Wenxuan Bao, Malvika Jadhav, Vincent Bindschaedler
2025	J	`jnl`	Inference Attacks for X-Vector Speaker Anonymization. CoRR Luke A. Bauer, Wenxuan Bao, Malvika Jadhav, Vincent Bindschaedler
2025	J	`jnl`	Latte: Collaborative Test-Time Adaptation of Vision-Language Models in Federated Learning. CoRR Wenxuan Bao, Ruxi Deng, Ruizhong Qiu, Tianxin Wei, Hanghang Tong, Jingrui He
2025	A*	`conf`	Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation. ICLR Wenxuan Bao, Zhichen Zeng, Zhining Liu, Hanghang Tong, Jingrui He
2025	J	`jnl`	Mint: A Simple Test-Time Adaptation of Vision-Language Models against Common Corruptions. CoRR Wenxuan Bao, Ruxi Deng, Jingrui He
2025	J	`jnl`	Panda: Test-Time Adaptation with Negative Data Augmentation. CoRR Ruxi Deng, Wenxuan Bao, Tianxin Wei, Jingrui He
2025	J	`jnl`	Pave Your Own Path: Graph Gradual Domain Adaptation on Fused Gromov-Wasserstein Geodesics. CoRR Zhichen Zeng, Ruizhong Qiu, Wenxuan Bao, Tianxin Wei, Xiao Lin, Yuchen Yan, Tarek F. Abdelzaher, Jiawei Han, Hanghang Tong
2025	—	`conf`	Provably Secure Covert Messaging Using Image-Based Diffusion Processes. SaTML Luke A. Bauer, Wenxuan Bao, Vincent Bindschaedler
2025	J	`jnl`	Provably Secure Covert Messaging Using Image-based Diffusion Processes. CoRR Luke A. Bauer, Wenxuan Bao, Vincent Bindschaedler
2025	J	`jnl`	Thwart Me If You Can: An Empirical Analysis of Android Platform Armoring Against Stalkerware. CoRR Malvika Jadhav, Wenxuan Bao, Vincent Bindschaedler
2025	J	`jnl`	Towards Reliable and Generalizable Differentially Private Machine Learning (Extended Version). CoRR Wenxuan Bao, Vincent Bindschaedler
2024	J	`jnl`	AdaRC: Mitigating Graph Structure Shifts during Test-Time. CoRR Wenxuan Bao, Zhichen Zeng, Zhining Liu, Hanghang Tong, Jingrui He
2024	J	`jnl`	Ask, and it shall be given: Turing completeness of prompting. CoRR Ruizhong Qiu, Zhe Xu, Wenxuan Bao, Hanghang Tong
2024	A	`conf`	BOBA: Byzantine-Robust Federated Learning with Label Skewness. AISTATS Wenxuan Bao, Jun Wu, Jingrui He
2024	A*	`conf`	FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning. CVPR Rishub Tamirisa, Chulin Xie, Wenxuan Bao, Andy Zhou, Ron Arel, Aviv Shamsian
2024	J	`jnl`	FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning. CoRR Rishub Tamirisa, Chulin Xie, Wenxuan Bao, Andy Zhou, Ron Arel, Aviv Shamsian
2024	A	`conf`	R+R: Towards Reliable and Generalizable Differentially Private Machine Learning. ACSAC Wenxuan Bao, Vincent Bindschaedler
2023	J	`jnl`	A peer-to-peer file storage and sharing system based on consortium blockchain. Future Gener. Comput. Syst. Shaoliang Peng, Wenxuan Bao, Hao Liu, Xia Xiao, Jiandong Shang, Lin Han, Shan Wang, Xiaolan Xie, Yang Xu
2023	A*	`conf`	Adaptive Test-Time Personalization for Federated Learning. NeurIPS Wenxuan Bao, Tianxin Wei, Haohan Wang, Jingrui He
2023	J	`jnl`	Adaptive Test-Time Personalization for Federated Learning. CoRR Wenxuan Bao, Tianxin Wei, Haohan Wang, Jingrui He
2023	J	`jnl`	An Object-Oriented Method for Extracting Single-Object Aquaculture Ponds from 10 m Resolution Sentinel-2 Images on Google Earth Engine. Remote. Sens. Boyi Li, Adu Gong, Zikun Chen, Xiang Pan, Lingling Li, Jinglin Li, Wenxuan Bao
2023	A*	`conf`	DP-Mix: Mixup-based Data Augmentation for Differentially Private Learning. NeurIPS Wenxuan Bao, Francesco Pittaluga, Vijay Kumar B. G, Vincent Bindschaedler
2023	J	`jnl`	DP-Mix: Mixup-based Data Augmentation for Differentially Private Learning. CoRR Wenxuan Bao, Francesco Pittaluga, Vijay Kumar B. G, Vincent Bindschaedler
2023	J	`jnl`	Mapping Population Distribution with High Spatiotemporal Resolution in Beijing Using Baidu Heat Map Data. Remote. Sens. Wenxuan Bao, Adu Gong, Tong Zhang, Yiran Zhao, Boyi Li, Shuaiqiang Chen
2023	A*	`conf`	Optimizing the Collaboration Structure in Cross-Silo Federated Learning. ICML Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He
2023	J	`jnl`	Optimizing the Collaboration Structure in Cross-Silo Federated Learning. CoRR Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He
2023	A*	`conf`	Personalized Federated Learning with Parameter Propagation. KDD Jun Wu, Wenxuan Bao, Elizabeth A. Ainsworth, Jingrui He
2023	J	`jnl`	Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey. CoRR Dongqi Fu, Wenxuan Bao, Ross Maciejewski, Hanghang Tong, Jingrui He
2023	J	`jnl`	Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey. SIGKDD Explor. Dongqi Fu, Wenxuan Bao, Ross Maciejewski, Hanghang Tong, Jingrui He
2023	J	`jnl`	Understanding the Effect of Data Augmentation on Knowledge Distillation. CoRR Ziqi Wang, Chi Han, Wenxuan Bao, Heng Ji
2023	J	`jnl`	Urban Tree Canopy Mapping Based on Double-Branch Convolutional Neural Network and Multi-Temporal High Spatial Resolution Satellite Imagery. Remote. Sens. Shuaiqiang Chen, Meng Chen, Bingyu Zhao, Ting Mao, Jianjun Wu, Wenxuan Bao
2022	J	`jnl`	A Zoning Earthquake Casualty Prediction Model Based on Machine Learning. Remote. Sens. Boyi Li, Adu Gong, Tingting Zeng, Wenxuan Bao, Can Xu, Zhiqing Huang
2022	J	`jnl`	BOBA: Byzantine-Robust Federated Learning with Label Skewness. CoRR Wenxuan Bao, Jingrui He
2022	J	`jnl`	High-Precision Population Spatialization in Metropolises Based on Ensemble Learning: A Case Study of Beijing, China. Remote. Sens. Wenxuan Bao, Adu Gong, Yiran Zhao, Shuaiqiang Chen, Wanru Ba, Yuan He
2022	J	`jnl`	On the Importance of Architecture and Feature Selection in Differentially Private Machine Learning. CoRR Wenxuan Bao, Luke A. Bauer, Vincent Bindschaedler
2020	A*	`conf`	Deep Grouping Model for Unified Perceptual Parsing. CVPR Zhiheng Li, Wenxuan Bao, Jiayang Zheng, Chenliang Xu
2020	J	`jnl`	Deep Grouping Model for Unified Perceptual Parsing. CoRR Zhiheng Li, Wenxuan Bao, Jiayang Zheng, Chenliang Xu