Zhang, Bob

15 publications

AAAI 2025 DCHM: Dynamic Collaboration of Heterogeneous Models Through Isomerism Learning in a Blockchain-Powered Federated Learning Framework Zhihao Hao, Bob Zhang, Haisheng Li

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

IJCAI 2024 Implicit Prompt Learning for Image Denoising Yao Lu, Bo Jiang, Guangming Lu, Bob Zhang

ICML 2024 Open-Vocabulary Calibration for Fine-Tuned CLIP Shuoyuan Wang, Jindong Wang, Guoqing Wang, Bob Zhang, Kaiyang Zhou, Hongxin Wei

IJCAI 2024 QFormer: An Efficient Quaternion Transformer for Image Denoising Bo Jiang, Yao Lu, Guangming Lu, Bob Zhang

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

AAAI 2022 Generative Adaptive Convolutions for Real-World Noisy Image Denoising Ruijun Ma, Shuyi Li, Bob Zhang, Zhengming Li

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 Super Sparse Convolutional Neural Networks Yao Lu, Guangming Lu, Bob Zhang, Yuanrong Xu, Jinxing Li

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

AAAI 2018 A Probabilistic Hierarchical Model for Multi-View and Multi-Feature Classification Jinxing Li, Hongwei Yong, Bob Zhang, Mu Li, Lei Zhang, David Zhang

IJCAI 2018 AAR-CNNs: Auto Adaptive Regularized Convolutional Neural Networks Yao Lu, Guangming Lu, Yuanrong Xu, Bob Zhang

ACML 2018 Collaboratively Weighting Deep and Classic Representation via $l_2$ Regularization for Image Classification Shaoning Zeng, Bob Zhang, Yanghao Zhang, Jianping Gou