Wen, Jie

46 publications

NeurIPS 2025 A Set of Generalized Components to Achieve Effective Poison-Only Clean-Label Backdoor Attacks with Collaborative Sample Selection and Triggers Zhixiao Wu, Yao Lu, Jie Wen, Hao Sun, Qi Zhou, Guangming Lu

AAAI 2025 ALRMR-GEC: Adjusting Learning Rate Based on Memory Rate to Optimize the Edit Scorer for Grammatical Error Correction Zhixiao Wu, Yao Lu, Jie Wen, Guangming Lu

IJCAI 2025 AdaptPFL: Unlocking Cross-Device Palmprint Recognition via Adaptive Personalized Federated Learning with Feature Decoupling Zirui Zhang, Donghai Guan, Çetin Kaya Koç, Jie Wen, Qi Zhu

NeurIPS 2025 Confidence-Aware with Prototype Alignment for Partial Multi-Label Learning Weijun Lv, Yu Chen, Xiaozhao Fang, Xuhuan Zhu, Jie Wen, Guoxu Zhou, Sixian Chan

AAAI 2025 Deep Hierarchies and Invariant Disease-Indicative Feature Learning for Computer Aided Diagnosis of Multiple Fundus Diseases Yuxin Lin, Wei Wang, Xiaoling Luo, Zhihao Wu, Chengliang Liu, Jie Wen, Yong Xu

IJCAI 2025 Deep Opinion-Unaware Blind Image Quality Assessment by Learning and Adapting from Multiple Annotators Zhihua Wang, Xuelin Liu, Jiebin Yan, Jie Wen, Wei Wang, Chao Huang

AAAI 2025 DiffusionREC: Diffusion Model with Adaptive Condition for Referring Expression Comprehension Jingcheng Ke, Waikeung Wong, Jia Wang, Mu Li, Lunke Fei, Jie Wen

ICML 2025 Efficient and Separate Authentication Image Steganography Network Junchao Zhou, Yao Lu, Jie Wen, Guangming Lu

IJCAI 2025 Enhancing Multimodal Protein Function Prediction Through Dual-Branch Dynamic Selection with Reconstructive Pre-Training Xiaoling Luo, Peng Chen, Chengliang Liu, Xiaopeng Jin, Jie Wen, Yumeng Liu, Junsong Wang

ICML 2025 Ex-VAD: Explainable Fine-Grained Video Anomaly Detection Based on Visual-Language Models Chao Huang, Yushu Shi, Jie Wen, Wei Wang, Yong Xu, Xiaochun Cao

ICML 2025 Federated Incomplete Multi-View Clustering with Globally Fused Graph Guidance Guoqing Chao, Zhenghao Zhang, Lei Meng, Jie Wen, Dianhui Chu

AAAI 2025 Federated Weakly Supervised Video Anomaly Detection with Multimodal Prompt Benfeng Wang, Chao Huang, Jie Wen, Wei Wang, Yabo Liu, Yong Xu

ICCV 2025 FontAnimate: High Quality Few-Shot Font Generation via Animating Font Transfer Process Bin Fu, Zixuan Wang, Kainan Yan, Shitian Zhao, Qi Qin, Jie Wen, Junjun He, Peng Gao

NeurIPS 2025 Hierarchical Information Aggregation for Incomplete Multimodal Alzheimer's Disease Diagnosis Chengliang Liu, Que Yuanxi, Qihao Xu, Yabo Liu, Jie Wen, Jinghua Wang, Xiaoling Luo

IJCAI 2025 High-Confident Local Structure Guided Consensus Graph Learning for Incomplete Multi-View Clustering Shuping Zhao, Lunke Fei, Qi Lai, Jie Wen, Jinrong Cui, Tingting Chai

CVPR 2025 Incomplete Multi-View Multi-Label Learning via Disentangled Representation and Label Semantic Embedding Xu Yan, Jun Yin, Jie Wen

ICML 2025 Learning Compact Semantic Information for Incomplete Multi-View Missing Multi-Label Classification Jie Wen, Yadong Liu, Zhanyan Tang, Yuting He, Yulong Chen, Mu Li, Chengliang Liu

NeurIPS 2025 Learning from Disjoint Views: A Contrastive Prototype Matching Network for Fully Incomplete Multi-View Clustering Yiming Wang, Qun Li, Dongxia Chang, Jie Wen, Hua Dai, Fu Xiao, Yao Zhao

AAAI 2025 Lightweight Contrastive Distilled Hashing for Online Cross-Modal Retrieval Jiaxing Li, Lin Jiang, Zeqi Ma, Kaihang Jiang, Xiaozhao Fang, Jie Wen

AAAI 2025 Multi-View Evidential Learning-Based Medical Image Segmentation Chao Huang, Yushu Shi, Waikeung Wong, Chengliang Liu, Wei Wang, Zhihua Wang, Jie Wen

NeurIPS 2025 NeuroH-TGL: Neuro-Heterogeneity Guided Temporal Graph Learning Strategy for Brain Disease Diagnosis Shengrong Li, Qi Zhu, Chunwei Tian, Xinyang Zhang, Wei Shao, Jie Wen, Daoqiang Zhang

IJCAI 2025 Omni-Dimensional State Space Model-Driven SAM for Pixel-Level Anomaly Detection Chao Huang, Qianyi Li, Jie Wen, Bob Zhang

IJCAI 2025 Towards VLM-Based Hybrid Explainable Prompt Enhancement for Zero-Shot Industrial Anomaly Detection Weichao Cai, Weiliang Huang, Yunkang Cao, Chao Huang, Fei Yuan, Bob Zhang, Jie Wen

NeurIPS 2025 Vad-R1: Towards Video Anomaly Reasoning via Perception-to-Cognition Chain-of-Thought Chao Huang, Benfeng Wang, Wei Wang, Jie Wen, Chengliang Liu, Li Shen, Xiaochun Cao

ICCV 2025 Weakly Supervised Visible-Infrared Person Re-Identification via Heterogeneous Expert Collaborative Consistency Learning Yafei Zhang, Lingqi Kong, Huafeng Li, Jie Wen

AAAI 2024 A Two-Stage Information Extraction Network for Incomplete Multi-View Multi-Label Classification Xin Tan, Ce Zhao, Chengliang Liu, Jie Wen, Zhanyan Tang

AAAI 2024 Attention-Induced Embedding Imputation for Incomplete Multi-View Partial Multi-Label Classification Chengliang Liu, Jinlong Jia, Jie Wen, Yabo Liu, Xiaoling Luo, Chao Huang, Yong Xu

ICML 2024 Batch Singular Value Polarization and Weighted Semantic Augmentation for Universal Domain Adaptation Wang Ziqi, Wei Wang, Chao Huang, Jie Wen, Cong Wang

AAAI 2024 Deep Variational Incomplete Multi-View Clustering: Exploring Shared Clustering Structures Gehui Xu, Jie Wen, Chengliang Liu, Bing Hu, Yicheng Liu, Lunke Fei, Wei Wang

ICML 2024 Diffusion-Based Missing-View Generation with the Application on Incomplete Multi-View Clustering Jie Wen, Shijie Deng, Waikeung Wong, Guoqing Chao, Chao Huang, Lunke Fei, Yong Xu

CVPR 2024 Generate like Experts: Multi-Stage Font Generation by Incorporating Font Transfer Process into Diffusion Models Bin Fu, Fanghua Yu, Anran Liu, Zixuan Wang, Jie Wen, Junjun He, Yu Qiao

AAAI 2024 HACDR-Net: Heterogeneous-Aware Convolutional Network for Diabetic Retinopathy Multi-Lesion Segmentation Qihao Xu, Xiaoling Luo, Chao Huang, Chengliang Liu, Jie Wen, Jialei Wang, Yong Xu

ICML 2024 Language-Driven Cross-Modal Classifier for Zero-Shot Multi-Label Image Recognition Yicheng Liu, Jie Wen, Chengliang Liu, Xiaozhao Fang, Zuoyong Li, Yong Xu, Zheng Zhang

IJCAI 2024 Long Short-Term Dynamic Prototype Alignment Learning for Video Anomaly Detection Chao Huang, Jie Wen, Chengliang Liu, Yabo Liu

NeurIPS 2024 Optimal Transport-Based Labor-Free Text Prompt Modeling for Sketch Re-Identification Rui Li, Tingting Ren, Jie Wen, Jinxing Li

ICML 2024 Partial Multi-View Multi-Label Classification via Semantic Invariance Learning and Prototype Modeling Chengliang Liu, Gehui Xu, Jie Wen, Yabo Liu, Chao Huang, Yong Xu

AAAI 2023 DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View Multi-Label Classification Chengliang Liu, Jie Wen, Xiaoling Luo, Chao Huang, Zhihao Wu, Yong Xu

CVPR 2023 Highly Confident Local Structure Based Consensus Graph Learning for Incomplete Multi-View Clustering Jie Wen, Chengliang Liu, Gehui Xu, Zhihao Wu, Chao Huang, Lunke Fei, Yong Xu

AAAI 2023 Incomplete Multi-View Multi-Label Learning via Label-Guided Masked View- and Category-Aware Transformers Chengliang Liu, Jie Wen, Xiaoling Luo, Yong Xu

AAAI 2023 MVCINN: Multi-View Diabetic Retinopathy Detection Using a Deep Cross-Interaction Neural Network Xiaoling Luo, Chengliang Liu, Waikeung Wong, Jie Wen, Xiaopeng Jin, Yong Xu

NeurIPS 2023 Masked Two-Channel Decoupling Framework for Incomplete Multi-View Weak Multi-Label Learning Chengliang Liu, Jie Wen, Yabo Liu, Chao Huang, Zhihao Wu, Xiaoling Luo, Yong Xu

AAAI 2023 Tensorized Incomplete Multi-View Clustering with Intrinsic Graph Completion Shuping Zhao, Jie Wen, Lunke Fei, Bob Zhang

AAAI 2021 Unified Tensor Framework for Incomplete Multi-View Clustering and Missing-View Inferring Jie Wen, Zheng Zhang, Zhao Zhang, Lei Zhu, Lunke Fei, Bob Zhang, Yong Xu

IJCAI 2020 CDIMC-Net: Cognitive Deep Incomplete Multi-View Clustering Network Jie Wen, Zheng Zhang, Yong Xu, Bob Zhang, Lunke Fei, Guo-Sen Xie

AAAI 2019 Unified Embedding Alignment with Missing Views Inferring for Incomplete Multi-View Clustering Jie Wen, Zheng Zhang, Yong Xu, Bob Zhang, Lunke Fei, Hong Liu

ECCVW 2018 Incomplete Multi-View Clustering via Graph Regularized Matrix Factorization Jie Wen, Zheng Zhang, Yong Xu, Zuofeng Zhong