Zhang, Pei

17 publications

ICLR 2026 Falcon: Fast Proximal Linearization of Normalized Cuts for Unsupervised Image Segmentation Xiao Zhang, Xiangyu Han, Xiwen Lai, Yao Sun, Pei Zhang, Xia Liu, Konrad Kording

NeurIPS 2025 Bit-Swapping Oriented Twin-Memory Multi-View Clustering in Lifelong Incomplete Scenarios Shengju Yu, Pei Zhang, Siwei Wang, Suyuan Liu, Xinhang Wan, Zhibin Dong, Tiejun Li, Xinwang Liu

ICML 2025 ConText: Driving In-Context Learning for Text Removal and Segmentation Fei Zhang, Pei Zhang, Baosong Yang, Fei Huang, Yanfeng Wang, Ya Zhang

ICLR 2025 Latent Space Chain-of-Embedding Enables Output-Free LLM Self-Evaluation Yiming Wang, Pei Zhang, Baosong Yang, Derek F. Wong, Rui Wang

AAAI 2025 Max-Mahalanobis Anchors Guidance for Multi-View Clustering Pei Zhang, Yuangang Pan, Siwei Wang, Shengju Yu, Huiying Xu, En Zhu, Xinwang Liu, Ivor W. Tsang

NeurIPS 2025 PolyMath: Evaluating Mathematical Reasoning in Multilingual Contexts Yiming Wang, Pei Zhang, Jialong Tang, Hao-Ran Wei, Baosong Yang, Rui Wang, Chenshu Sun, Feitong Sun, Jiran Zhang, Junxuan Wu, Qiqian Cang, Yichang Zhang, Fei Huang, Junyang Lin, Fei Huang, Jingren Zhou

NeurIPS 2025 Sampling-Efficient Test-Time Scaling: Self-Estimating the Best-of-N Sampling in Early Decoding Yiming Wang, Pei Zhang, Siyuan Huang, Baosong Yang, Zhuosheng Zhang, Fei Huang, Rui Wang

ICLR 2025 Simple yet Effective Incomplete Multi-View Clustering: Similarity-Level Imputation and Intra-View Hybrid-Group Prototype Construction Shengju Yu, Zhibin Dong, Siwei Wang, Pei Zhang, Yi Zhang, Xinwang Liu, Naiyang Guan, Tiejun Li, Yiu-ming Cheung

AAAI 2024 DVSAI: Diverse View-Shared Anchors Based Incomplete Multi-View Clustering Shengju Yu, Siwei Wang, Pei Zhang, Miao Wang, Ziming Wang, Zhe Liu, Liming Fang, En Zhu, Xinwang Liu

NeurIPS 2024 Embedding Trajectory for Out-of-Distribution Detection in Mathematical Reasoning Yiming Wang, Pei Zhang, Baosong Yang, Derek F. Wong, Zhuosheng Zhang, Rui Wang

ICML 2024 Towards Resource-Friendly, Extensible and Stable Incomplete Multi-View Clustering Shengju Yu, Zhibin Dong, Siwei Wang, Xinhang Wan, Yue Liu, Weixuan Liang, Pei Zhang, Wenxuan Tu, Xinwang Liu

NeurIPSW 2023 Generation of 3D Realistic Soil Particles with Metaball Descriptor Yifeng Zhao, Jinxin Liu, Xiangbo Gao, Pei Zhang, Stan Z. Li, Sergio Andres Galindo Torres

AAAI 2023 Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View Jingcan Duan, Siwei Wang, Pei Zhang, En Zhu, Jingtao Hu, Hu Jin, Yue Liu, Zhibin Dong

AAAI 2023 Let the Data Choose: Flexible and Diverse Anchor Graph Fusion for Scalable Multi-View Clustering Pei Zhang, Siwei Wang, Liang Li, Changwang Zhang, Xinwang Liu, En Zhu, Zhe Liu, Lu Zhou, Lei Luo

AAAI 2022 Efficient One-Pass Multi-View Subspace Clustering with Consensus Anchors Suyuan Liu, Siwei Wang, Pei Zhang, Kai Xu, Xinwang Liu, Changwang Zhang, Feng Gao

ICLR 2022 PI3NN: Out-of-Distribution-Aware Prediction Intervals from Three Neural Networks Siyan Liu, Pei Zhang, Dan Lu, Guannan Zhang

AAAI 2020 Visual Agreement Regularized Training for Multi-Modal Machine Translation Pengcheng Yang, Boxing Chen, Pei Zhang, Xu Sun