Zhou, Peng

35 publications

AAAI 2025 Collaborative Similarity Fusion and Consistency Recovery for Incomplete Multi-View Clustering Bingbing Jiang, Chenglong Zhang, Xinyan Liang, Peng Zhou, Jie Yang, Xingyu Wu, Junyi Guan, Weiping Ding, Weiguo Sheng

IJCAI 2025 Gradient-Based Causal Feature Selection Zhaolong Ling, Mengxiang Guo, Xingyu Wu, Debo Cheng, Peng Zhou, Tianci Li, Zhangling Duan

IJCAI 2025 Hybrid Local Causal Discovery Zhaolong Ling, Honghui Peng, Yiwen Zhang, Debo Cheng, Xingyu Wu, Peng Zhou, Kui Yu

AAAI 2025 Instruction-Augmented Long-Horizon Planning: Embedding Grounding Mechanisms in Embodied Mobile Manipulation Fangyuan Wang, Shipeng Lyu, Peng Zhou, Anqing Duan, Guodong Guo, David Navarro-Alarcon

AAAI 2025 Local Causal Discovery Without Causal Sufficiency Zhaolong Ling, Jiale Yu, Yiwen Zhang, Debo Cheng, Peng Zhou, Xingyu Wu, Bingbing Jiang, Kui Yu

CVPR 2025 M-LLM Based Video Frame Selection for Efficient Video Understanding Kai Hu, Feng Gao, Xiaohan Nie, Peng Zhou, Son Tran, Tal Neiman, Lingyun Wang, Mubarak Shah, Raffay Hamid, Bing Yin, Trishul Chilimbi

IJCAI 2025 Multi-View Clustering via Multi-Granularity Ensemble Jie Yang, Wei Chen, Feng Liu, Peng Zhou, Zhongli Wang, Xinyan Liang, Bingbing Jiang

AAAI 2025 Sharper Error Bounds in Late Fusion Multi-View Clustering with Eigenvalue Proportion Optimization Liang Du, Henghui Jiang, Xiaodong Li, Yiqing Guo, Yan Chen, Feijiang Li, Peng Zhou, Yuhua Qian

IJCAI 2025 Wavelet Multi-Scale Region-Enhanced Network for Medical Image Segmentation Hang Lu, Liang Du, Peng Zhou

IJCAI 2024 Active Deep Multi-View Clustering Helin Zhao, Wei Chen, Peng Zhou

IJCAI 2024 Efficient Multi-View Unsupervised Feature Selection with Adaptive Structure Learning and Inference Chenglong Zhang, Yang Fang, Xinyan Liang, Han Zhang, Peng Zhou, Xingyu Wu, Jie Yang, Bingbing Jiang, Weiguo Sheng

NeurIPS 2024 Fair Kernel K-Means: From Single Kernel to Multiple Kernel Peng Zhou, Rongwen Li, Liang Du

AAAI 2024 FocalDreamer: Text-Driven 3D Editing via Focal-Fusion Assembly Yuhan Li, Yishun Dou, Yue Shi, Yu Lei, Xuanhong Chen, Yi Zhang, Peng Zhou, Bingbing Ni

NeurIPS 2024 Gated Slot Attention for Efficient Linear-Time Sequence Modeling Yu Zhang, Songlin Yang, Ruijie Zhu, Yue Zhang, Leyang Cui, Yiqiao Wang, Bolun Wang, Freda Shi, Bailin Wang, Wei Bi, Peng Zhou, Guohong Fu

CVPR 2024 Learning to Rank Patches for Unbiased Image Redundancy Reduction Yang Luo, Zhineng Chen, Peng Zhou, Zuxuan Wu, Xieping Gao, Yu-Gang Jiang

AAAI 2024 Multi-Region Text-Driven Manipulation of Diffusion Imagery Yiming Li, Peng Zhou, Jun Sun, Yi Xu

CVPR 2024 Puff-Net: Efficient Style Transfer with Pure Content and Style Feature Fusion Network Sizhe Zheng, Pan Gao, Peng Zhou, Jie Qin

AAAI 2024 Self-Training Based Few-Shot Node Classification by Knowledge Distillation Zongqian Wu, Yujie Mo, Peng Zhou, Shangbo Yuan, Xiaofeng Zhu

AAAI 2023 Resolving Task Confusion in Dynamic Expansion Architectures for Class Incremental Learning Bingchen Huang, Zhineng Chen, Peng Zhou, Jiayin Chen, Zuxuan Wu

IJCAI 2023 Totally Dynamic Hypergraph Neural Networks Peng Zhou, Zongqian Wu, Xiangxiang Zeng, Guoqiu Wen, Junbo Ma, Xiaofeng Zhu

IJCAI 2022 Information Augmentation for Few-Shot Node Classification Zongqian Wu, Peng Zhou, Guoqiu Wen, Yingying Wan, Junbo Ma, Debo Cheng, Xiaofeng Zhu

ICCV 2021 Omni-GAN: On the Secrets of cGANs and Beyond Peng Zhou, Lingxi Xie, Bingbing Ni, Cong Geng, Qi Tian

AAAI 2021 Tri-Level Robust Clustering Ensemble with Multiple Graph Learning Peng Zhou, Liang Du, Yi-Dong Shen, Xuejun Li

AAAI 2020 Generate, Segment, and Refine: Towards Generic Manipulation Segmentation Peng Zhou, Bor-Chun Chen, Xintong Han, Mahyar Najibi, Abhinav Shrivastava, Ser-Nam Lim, Larry Davis

AAAI 2020 K-BERT: Enabling Language Representation with Knowledge Graph Weijie Liu, Peng Zhou, Zhe Zhao, Zhiruo Wang, Qi Ju, Haotang Deng, Ping Wang

AAAI 2020 Revisiting Image Aesthetic Assessment via Self-Supervised Feature Learning Kekai Sheng, Weiming Dong, Menglei Chai, Guohui Wang, Peng Zhou, Feiyue Huang, Bao-Gang Hu, Rongrong Ji, Chongyang Ma

IJCAI 2020 Self-Paced Consensus Clustering with Bipartite Graph Peng Zhou, Liang Du, Xuejun Li

ICLR 2020 Wasserstein-Bounded Generative Adversarial Networks Peng Zhou, Bingbing Ni, Lingxi Xie, Xiaopeng Zhang, Hang Wang, Cong Geng, Qi Tian

IJCAI 2018 Live Face Verification with Multiple Instantialized Local Homographic Parameterization Chen Lin, Zhouyingcheng Liao, Peng Zhou, Jianguo Hu, Bingbing Ni

CVPRW 2017 Two-Stream Neural Networks for Tampered Face Detection Peng Zhou, Xintong Han, Vlad I. Morariu, Larry S. Davis

AAAI 2015 Convex Batch Mode Active Sampling via Α-Relative Pearson Divergence Hanmo Wang, Liang Du, Peng Zhou, Lei Shi, Yi-Dong Shen

IJCAI 2015 Learning a Robust Consensus Matrix for Clustering Ensemble via Kullback-Leibler Divergence Minimization Peng Zhou, Liang Du, Hanmo Wang, Lei Shi, Yi-Dong Shen

IJCAI 2015 Recovery of Corrupted Multiple Kernels for Clustering Peng Zhou, Liang Du, Lei Shi, Hanmo Wang, Yi-Dong Shen

IJCAI 2015 Robust Multiple Kernel K-Means Using L21-Norm Liang Du, Peng Zhou, Lei Shi, Hanmo Wang, Mingyu Fan, Wenjian Wang, Yi-Dong Shen

ICML 2009 Discovering Options from Example Trajectories Peng Zang, Peng Zhou, David Minnen, Charles Lee Isbell Jr.