Wenxin Zhang

According to our database, Wenxin Zhang authored at least 47 papers between 2025 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Disentangling Speaker Traits for Deepfake Source Verification via Chebyshev Polynomial and Riemannian Metric Learning.

Xi Xuan, Wenxin Zhang, Zhiyu Li, Jennifer Williams, Ville Hautamäki, Tomi H. Kinnunen

CoRR, March, 2026

GraphiContact: Pose-aware Human-Scene Robust Contact Perception for Interactive Systems.

Xiaojian Lin, Yaomin Shen, Junyuan Ma, Yujie Sun, Chengqing Bu, Wenxin Zhang, Zongzheng Zhang, Hao Fei, Lei Jin, Hao Zhao

CoRR, March, 2026

CityGuard: Graph-Aware Private Descriptors for Bias-Resilient Identity Search Across Urban Cameras.

Rong Fu, Wenxin Zhang, Yibo Meng, Jia Yee Tan, Jiaxuan Lu, Rui Lu, Jiekai Wu, Zhaolu Kang, Simon Fong

CoRR, February, 2026

SubQuad: Near-Quadratic-Free Structure Inference with Distribution-Balanced Objectives in Adaptive Receptor framework.

Rong Fu, Zijian Zhang, Wenxin Zhang, Kun Liu, Jiekai Wu, Xianda Li, Simon Fong

CoRR, February, 2026

ModalImmune: Immunity Driven Unlearning via Self Destructive Training.

Rong Fu, Jia Yee Tan, Wenxin Zhang, Zijian Zhang, Ziming Wang, Zhaolu Kang, Muge Qi, Shuning Zhang, Simon Fong

CoRR, February, 2026

Emotion Collider: Dual Hyperbolic Mirror Manifolds for Sentiment Recovery via Anti Emotion Reflection.

Rong Fu, Ziming Wang, Shuo Yin, Wenxin Zhang, Haiyun Wei, Kun Liu, Xianda Li, Zeli Su, Simon Fong

CoRR, February, 2026

Missing-by-Design: Certifiable Modality Deletion for Revocable Multimodal Sentiment Analysis.

Rong Fu, Wenxin Zhang, Ziming Wang, Chunlei Meng, Jiaxuan Lu, Jiekai Wu, Kangan Qian, Hao Zhang, Simon Fong

CoRR, February, 2026

GaiaFlow: Semantic-Guided Diffusion Tuning for Carbon-Frugal Search.

Rong Fu, Wenxin Zhang, Jia Yee Tan, Chunlei Meng, Shuo Yin, Xiaowen Ma, Wangyu Wu, Muge Qi, Guangzhen Yao, Zhaolu Kang, Zeli Su, Simon Fong

CoRR, February, 2026

DAV-GSWT: Diffusion-Active-View Sampling for Data-Efficient Gaussian Splatting Wang Tiles.

Rong Fu, Jiekai Wu, Haiyun Wei, Yee Tan Jia, Wenxin Zhang, Yang Li, Xiaowen Ma, Wangyu Wu, Simon Fong

CoRR, February, 2026

Chimera: Neuro-Symbolic Attention Primitives for Trustworthy Dataplane Intelligence.

Rong Fu, Wenxin Zhang, Xiaowen Ma, Kun Liu, Wangyu Wu, Ziyu Kong, Jia Yee Tan, Tailong Luo, Xianda Li, Zeli Su, Youjin Wang, Yongtai Liu, Simon Fong

CoRR, February, 2026

NeuroPareto: Calibrated Acquisition for Costly Many-Goal Search in Vast Parameter Spaces.

Rong Fu, Wenxin Zhang, Chunlei Meng, Youjin Wang, Haoyu Zhao, Jiaxuan Lu, Kun Liu, Jiabao Dou, Simon James Fong

CoRR, February, 2026

WST-X Series: Wavelet Scattering Transform for Interpretable Speech Deepfake Detection.

Xi Xuan, Davide Carbone, Ruchi Pandey, Wenxin Zhang, Tomi H. Kinnunen

CoRR, February, 2026

SwiftRepertoire: Few-Shot Immune-Signature Synthesis via Dynamic Kernel Codes.

Rong Fu, Wenxin Zhang, Muge Qi, Yang Li, Yabin Jin, Jiekai Wu, Jiaxuan Lu, Chunlei Meng, Youjin Wang, Zeli Su, Juntao Gao, Li Bao, Qi Zhao, Wei Luo, Simon Fong

CoRR, February, 2026

zkCraft: Prompt-Guided LLM as a Zero-Shot Mutation Pattern Oracle for TCCT-Powered ZK Fuzzing.

Rong Fu, Jia Yee Tan, Wenxin Zhang, Youjin Wang, Ziyu Kong, Zeli Su, Zhaolu Kang, Shuning Zhang, Xianda Li, Kun Liu, Simon Fong

CoRR, February, 2026

Federated graph-level clustering network with adaptive knowledge compensation.

Renda Han, Xinyuan Li, Guangzhen Yao, Mengfei Li, Wenxin Zhang, Ronghao Fu, Zeyu Zhang, Junlong Wu

Neural Networks, 2026

Robust rumor detection against noise.

Wenxin Zhang, Xi Xuan, Renda Han, Zonghao Ying, Cuicui Luo, Desheng Wu, Ljupco Kocarev

Neurocomputing, 2026

MCLASt: Multi-hierarchy contrastive learning graph anomaly detection with structure-awareness.

Wenxin Zhang, Cuicui Luo

Neurocomputing, 2026

A Graph Foundation Model for Unified Anomaly Detection.

Renda Han, Xiaobao Wang, Luzhi Wang, Wenxin Zhang, Guangzhen Yao, Hongxiang Liang

Proceedings of the ACM Web Conference 2026, 2026

A Unified Graph Clustering Network.

Renda Han, Xiaobao Wang, Longbiao Wang, Wenxin Zhang, Ronghao Fu, Kaiming Wang, Zeyu Zhang, Kuntharrgyal Khysru

Proceedings of the ACM Web Conference 2026, 2026

Graph Clustering with Scalable Graph Filters and View-Specific Semantic Fusion.

Wenxin Zhang, Xi Xuan, Renda Han, Desheng Wu, Cuicui Luo, Ljupco Kocarev

Proceedings of the Database Systems for Advanced Applications, 2026

V-Pruner: A Fast and Globally-informed Token Pruning Framework for Vision Transformer.

Guangzhen Yao, Jiayun Zheng, Zezhou Wang, Wenxin Zhang, Renda Han, Chuangxin Zhao, Zeyu Zhang, Runhao Liu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

VEIL: Jailbreaking Text-to-Video Models via Visual Exploitation from Implicit Language.

Zonghao Ying, Moyang Chen, Nizhang Li, Zhiqiang Wang, Wenxin Zhang, Quanchen Zou, Zonglei Jing, Aishan Liu, Xianglong Liu

CoRR, November, 2025

SecureWebArena: A Holistic Security Evaluation Benchmark for LVLM-based Web Agents.

Zonghao Ying, Yangguang Shao, Jianle Gan, Gan Xu, Junjie Shen, Wenxin Zhang, Quanchen Zou, Junzheng Shi, Zhenfei Yin, Mingchuan Zhang, Aishan Liu, Xianglong Liu

CoRR, October, 2025

WaveSP-Net: Learnable Wavelet-Domain Sparse Prompt Tuning for Speech Deepfake Detection.

Xi Xuan, Xuechen Liu, Wenxin Zhang, Yi-Cheng Lin, Xiaojian Lin, Tomi Kinnunen

CoRR, October, 2025

GE-GNN: Gated Edge-Augmented Graph Neural Network for Fraud Detection.

Wenxin Zhang, Cuicui Luo

IEEE Trans. Big Data, August, 2025

Addressing Noise and Stochasticity in Fraud Detection for Service Networks.

Wenxin Zhang, Ding Xu, Xi Xuan, Lei Jiang, Guangzhen Yao, Renda Han, Xiangxiang Lang, Cuicui Luo

CoRR, May, 2025

Dual-channel Heterophilic Message Passing for Graph Fraud Detection.

Wenxin Zhang, Jingxing Zhong, Guangzhen Yao, Renda Han, Xiaojian Lin, Zeyu Zhang, Cuicui Luo

CoRR, April, 2025

DConAD: A Differencing-based Contrastive Representation Learning Framework for Time Series Anomaly Detection.

Wenxin Zhang, Xiaojian Lin, Wenjun Yu, Guangzhen Yao, jingxiang Zhong, Yu Li, Renda Han, Songcheng Xu, Hao Shi, Cuicui Luo

CoRR, April, 2025

Multi-Relation Graph-Kernel Strengthen Network for Graph-Level Clustering.

Renda Han, Guangzhen Yao, Wenxin Zhang, Yu Li, Wen Xin, Huajie Lei, Mengfei Li, Zeyu Zhang, Chengze Du, Yahe Tian

CoRR, April, 2025

Towards Understanding the Safety Boundaries of DeepSeek Models: Evaluation and Findings.

Zonghao Ying, Guangyi Zheng, Yongxin Huang, Deyue Zhang, Wenxin Zhang, Quanchen Zou, Aishan Liu, Xianglong Liu, Dacheng Tao

CoRR, March, 2025

MedConv: Convolutions Beat Transformers on Long-Tailed Bone Density Prediction.

Xuyin Qi, Zeyu Zhang, Huazhan Zheng, Mingxi Chen, Numan Kutaiba, Ruth Lim, Cherie Chiang, Zi En Tham, Xuan Ren, Wenxin Zhang, Lei Zhang, Hao Zhang, Wenbing Lv, Guangzhen Yao, Renda Han, Kangsheng Wang, Mingyuan Li, Hongtao Mao, Yu Li, Zhibin Liao, Yang Zhao, Minh-Son To

CoRR, February, 2025

Decomposition-based multi-scale transformer framework for time series anomaly detection.

Wenxin Zhang, Cuicui Luo

Neural Networks, 2025

Butter: Frequency Consistency and Hierarchical Fusion for Autonomous Driving Object Detection.

Xiaojian Lin, Wenxin Zhang, Yuchu Jiang, Wangyu Wu, Yiran Guo, Kangxu Wang, Zongzheng Zhang, Guijin Wang, Lei Jin, Hao Zhao

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Remote Sensing Change Detection via Graph Compression and Adaptive Feature Fusion.

Jingxing Zhong, Haoliang Li, Renda Han, Wenxin Zhang, Yutian You, Junhao Xiao

Proceedings of the International Joint Conference on Neural Networks, 2025

Hierarchical Semantic Enhancement and Efficient Bi-temporal Interaction for Remote Sensing Change Detection.

Jingxing Zhong, Renda Han, Bingxin Su, Wenxin Zhang, Yutian You, Cuicui Luo

Proceedings of the International Joint Conference on Neural Networks, 2025

Dual-channel Heterophilic Message Passing for Graph Fraud Detection.

Wenxin Zhang, Jingxing Zhong, Guangzhen Yao, Renda Han, Xiaojian Lin, Lei Jiang, Zeyu Zhang, Cuicui Luo

Proceedings of the International Joint Conference on Neural Networks, 2025

DConAD: A Differencing-based Contrastive Representation Learning Framework for Time Series Anomaly Detection.

Wenxin Zhang, Xiaojian Lin, Wenjun Yu, Guangzhen Yao, Jingxing Zhong, Yu Li, Renda Han, Songcheng Xu, Hao Shi, Cuicui Luo

Proceedings of the International Joint Conference on Neural Networks, 2025

RL-Pruner: Retraining-Free Global Exploration Pruning Method Based on Reinforcement Learning.

Guangzhen Yao, Yi Wang, Wenxin Zhang, Xaioyu Deng, Chengze Du, Renda Han, Zhanghao Qin, Yu Li, Bobin Xie, Bowen Dong, Haiming Peng, Sandong Zhu, Long Zhang, Zezhou Wang, Zeyu Zhang

Proceedings of the International Joint Conference on Neural Networks, 2025

DRCO: a Toolkit for Intelligently Curbing Illegal Wildlife Trade.

Songcheng Xu, Yuhan Ye, Mingyuan Li, Haochen You, Kangsheng Wang, Wenxin Zhang

Proceedings of the International Joint Conference on Neural Networks, 2025

MedConv: Convolutions Beat Transformers on Long-Tailed Bone Density Prediction.

Xuyin Qi, C. Zeyu Zhang, Huazhan Zheng, Mingxi Chen, Numan Kutaiba, Ruth Lim, Cherie Chiang, Zi En Tham, Xuan Ren, Wenxin Zhang, Lei Zhang, Hao Zhang, Wenbing Lv, Guangzhen Yao, Renda Han, Kangsheng Wang, Mingyuan Li, Hongtao Mao, Yu Li, Zhibin Liao, Yang Zhao, Minh-Son To

Proceedings of the International Joint Conference on Neural Networks, 2025

JTFM: Joint Time-Frequency Method For Long-term Time Series Forecasting.

Yu Li, Wenxin Zhang, Renda Han, Guangzhen Yao, Zeyu Zhang, Tao Liu, Cuicui Luo

Proceedings of the International Joint Conference on Neural Networks, 2025

Multi-Relation Graph-Kernel Strengthen Network for Graph-Level Clustering.

Renda Han, Guangzhen Yao, Mingyuan Li, Wenxin Zhang, Yu Li, Wen Xin, Huajie Lei, Mengfei Li, Zeyu Zhang, Chengze Du, Yahe Tian

Proceedings of the International Joint Conference on Neural Networks, 2025

Dual Boost-Driven Graph-Level Clustering Network.

Renda Han, Wenxuan Tu, Junlong Wu, Wenxin Zhang, Jingxin Liu, Haotian Wang, Jieren Cheng, Huajie Lei, Guangzhen Yao, Lingren Wang, Mengfei Li, Yu Li

Proceedings of the International Joint Conference on Neural Networks, 2025

FreCT: Frequency-Augmented Convolutional Transformer for Robust Time Series Anomaly Detection.

Wenxin Zhang, Ding Xu, Guangzhen Yao, Xiaojian Lin, Renxiang Guan, Chengze Du, Renda Han, Xi Xuan, Cuicui Luo

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Unlocking the Full Potential of Separable Convolutions on Tensor Cores.

Aodie Cui, Chuangxin Zhao, Xiaoyu Deng, Gaozhe Jiang, Yifan Yang, Guangzhen Yao, Renda Han, Wenxin Zhang, Xi Xuan

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

PedDet: Adaptive Spectral Optimization for Multimodal Pedestrian Detection.

Rui Zhao, Zeyu Zhang, Yi Xu, Yi Yao, Yan Huang, Wenxin Zhang, Zirui Song, Xiuying Chen, Yang Zhao

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

Fake-Mamba: Real-Time Speech Deepfake Detection Using Bidirectional Mamba as Self-Attention's Alternative.

Xi Xuan, Zimo Zhu, Wenxin Zhang, Yi-Cheng Lin, Tomi Kinnunen

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2025