Renda Han

According to our database, Renda Han authored at least 46 papers between 2025 and 2026.

Collaborative distances:

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

2026

FlashSign: Pose-Free Guidance for Efficient Sign Language Video Generation.

Liuzhou Zhang, Zeyu Zhang, Biao Wu, Luyao Tang, Zirui Song, Hongyang He, Renda Han, Guangzhen Yao, Huacan Wang, Ronghao Chen, Xiuying Chen, Guan Huang, Zheng Zhu

CoRR, March, 2026

WebCryptoAgent: Agentic Crypto Trading with Web Informatics.

Ali Kurban, Wei Luo, Liangyu Zuo, Zeyu Zhang, Renda Han, Zhaolu Kang, Hao Tang

CoRR, January, 2026

Adaptive feature boosting and distribution refinement for graph clustering.

Jingxin Liu, Xiangyan Tang, Renda Han, Wenxuan Tu, Ruili Wang

Pattern Recognit., 2026

Structure-missing graph-level clustering network.

Tianyu Hu, Renda Han, Liu Mao, Jing Chen, Xia Xie

Neural Networks, 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

FedCND: Federated Graph-Level Clustering under Inter-Client Cluster Number Discrepancy.

Junlong Wu, Renda Han, Wenxuan Tu, Jingxin Liu, Haotian Wang, Jieren Cheng

Proceedings of the ACM Web Conference 2026, 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

Causally-Aware Attribute Completion for Incomplete Federated Graph Clustering.

Jingxin Liu, Wenxuan Tu, Haotian Wang, Renda Han, Haoyi Li, Junlong Wu, Xiangyan Tang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Personalized Federated Graph-Level Clustering Network.

Jingxin Liu, Wenxuan Tu, Renda Han, Junlong Wu, Haotian Wang, Guohui Liu, Xiangyan Tang, Yue Yang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Federated Graph-level Clustering Network with Attribute Inference.

Renda Han, Junlong Wu, Wenxuan Tu, Jingxin Liu, Haotian Wang, Jieren Cheng

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Multi-dimensional Topological Association Strengthening Clustering Network.

Mengzhe Sun, Renda Han, Moxuan Zeng, Mengfei Li, Tianyu Hu, Zhenhua Yang, Ziyan Wang, Jingxin Liu, Wen Xin, Jingmei Feng

Neural Process. Lett., 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

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

Dual Feature Enhancement Graph Clustering Network.

Renda Han, Mengzhe Sun, Zeyi Li, Mengfei Li, Tianyu Hu, Zhenhua Yang, Jingxin Liu

Pattern Recognit. Lett., 2025

Multi-View Enhancement Graph-Level Clustering Network.

Zeyi Li, Renda Han, Tianyu Hu, Mengfei Li, Caimao Li

IEEE Access, 2025

A Reinforcement Learning-Based Retraining-Free Pruning for Encoder-Based Language Models.

Bobin Xie, Renda Han, Guangzhen Yao, Haiming Li, Simeng Zhang, Yutong Chen, Sandong Zhu, Long Zhang

Proceedings of the IEEE International Symposium on Circuits and Systems, 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

Debiasing Event Causality Identification in Large Language Models via Back-Door Adjustment.

Mingrui Xie, Renda Han, Shengyin Yu

Proceedings of the International Joint Conference on Neural Networks, 2025

GLFormer: A Lightweight Vision Transformer for Balancing Global and Local Information.

Zezhou Wang, Yi Wang, Wei Zhang, Yuping Yuan, Suyang Chen, Guangzhen Yao, Chengze Du, Renda Han, Bobin Xie, Sandong Zhu, Long 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

Style-xLSTM for Facial Age Editing.

Mingyuan Li, Songcheng Xu, Renda Han, Ye Zhu, Yingchun Guo

Proceedings of the International Joint Conference on Neural Networks, 2025

Aspect-Oriented Semantic Enhancement Network For Aspect-Level Multimodal Sentiment Analysis.

Xiangbo Ji, Na Li, Renda Han

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

DCT-GMM-FedSeg: Multimodal Medical Image Segmentation in a Federated Learning Framework.

Yunhe Feng, Jianan Wang, Xiong Wang, Lingren Wang, Yutong Li, Renda Han

Proceedings of the International Joint Conference on Neural Networks, 2025

GuidedLatent: Defending VAEs against Membership Inference Attacks via Distribution-Guided Privacy.

Chengze Du, Guangzhen Yao, Jibin Shi, Ying Zhang, Renda Han

Proceedings of the International Joint Conference on Neural Networks, 2025

Federated Node-Level Clustering Network with Cross-Subgraph Link Mending.

Jingxin Liu, Renda Han, Wenxuan Tu, Haotian Wang, Junlong Wu, Jieren Cheng

Proceedings of the Forty-second International Conference on Machine Learning, 2025

TCFI: Topology-Consistent Pruning with Fisher Information for Efficient Medical Image Segmentation.

Yi Wang, Renda Han, Yihao Chen

Proceedings of the IEEE International Conference on Multimedia and Expo, 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

FedPKA: Federated Graph-Level Clustering Network with Personalized Knowledge Aggregation.

Junlong Wu, Haotian Wang, Jingxin Liu, Wenxuan Tu, Renda Han, Jieren Cheng, Xiangyan Tang

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

Efficient and Privacy-Preserving Verifiable Signcryption for Internet of Medical Things.

Kaiming Wang, Renda Han

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Medical Image Segmentation Pruning via Feature Group Clustering with Spectral Variance Rebalancing.

Renda Han, Xuhao Guo, Yihao Chen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Federated Graph-Level Clustering Network.

Jingxin Liu, Jieren Cheng, Renda Han, Wenxuan Tu, Jiaxin Wang, Xin Peng

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025