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Xi Peng 0001
Person information
- affiliation: Sichuan Univerisity, China
- affiliation: Research Agency for Science, Technology and Research (A*STAR), Singapore
- affiliation (former): Sichuan University, Chengdu, China
- unicode name: 彭玺
Other persons with the same name
- Xi Peng — disambiguation page
- Xi Peng 0002 — Huazhong Normal University, China
- Xi Peng 0003 — Chinese Academy of Sciences, Institute of Automation, Beijing, China
- Xi Peng 0004 — Chinese Academy of Sciences, Shenzhen Institute of Advanced Technology, China
- Xi Peng 0005 — University of Delaware, Newark, DE, USA (and 1 more)
- Xi Peng 0006 — Huawei Technologies Co. Ltd., Hong Kong, China (and 1 more)
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2020 – today
- 2025
- [j59]Zhenyu Huang, Mouxing Yang, Xinyan Xiao, Peng Hu, Xi Peng:
Noise-Robust Vision-Language Pre-Training With Positive-Negative Learning. IEEE Trans. Pattern Anal. Mach. Intell. 47(1): 338-350 (2025) - 2024
- [j58]Mouxing Yang, Zhenyu Huang, Xi Peng:
Robust Object Re-identification with Coupled Noisy Labels. Int. J. Comput. Vis. 132(7): 2511-2529 (2024) - [j57]Zhenyu Huang, Peng Hu, Guocheng Niu, Xinyan Xiao, Jiancheng Lv, Xi Peng:
Learning with Noisy Correspondence. Int. J. Comput. Vis. 132(9): 3656-3677 (2024) - [j56]Pengxin Zeng, Mouxing Yang, Yiding Lu, Changqing Zhang, Peng Hu, Xi Peng:
Semantic Invariant Multi-View Clustering With Fully Incomplete Information. IEEE Trans. Pattern Anal. Mach. Intell. 46(4): 2139-2150 (2024) - [j55]Xinran Ma, Mouxing Yang, Yunfan Li, Peng Hu, Jiancheng Lv, Xi Peng:
Cross-Modal Retrieval With Noisy Correspondence via Consistency Refining and Mining. IEEE Trans. Image Process. 33: 2587-2598 (2024) - [j54]Jie Chen, Yingke Chen, Zhu Wang, Haixian Zhang, Xi Peng:
Spectral Embedding Fusion for Incomplete Multiview Clustering. IEEE Trans. Image Process. 33: 4116-4130 (2024) - [j53]Yongxiang Li, Yang Qin, Yuan Sun, Dezhong Peng, Xi Peng, Peng Hu:
RoMo: Robust Unsupervised Multimodal Learning With Noisy Pseudo Labels. IEEE Trans. Image Process. 33: 5086-5097 (2024) - [j52]Yuan Sun, Yang Qin, Yongxiang Li, Dezhong Peng, Xi Peng, Peng Hu:
Robust Multi-View Clustering With Noisy Correspondence. IEEE Trans. Knowl. Data Eng. 36(12): 9150-9162 (2024) - [j51]Jie Chen, Shengxiang Yang, Xi Peng, Dezhong Peng, Zhu Wang:
Augmented Sparse Representation for Incomplete Multiview Clustering. IEEE Trans. Neural Networks Learn. Syst. 35(3): 4058-4071 (2024) - [j50]Yunfan Li, Yijie Lin, Peng Hu, Dezhong Peng, Han Luo, Xi Peng:
Single-Cell RNA-Seq Debiased Clustering via Batch Effect Disentanglement. IEEE Trans. Neural Networks Learn. Syst. 35(8): 11371-11381 (2024) - [j49]Yuxin Tian, Yijie Lin, Qing Ye, Jian Wang, Xi Peng, Jiancheng Lv:
UNITE: Multitask Learning With Sufficient Feature for Dense Prediction. IEEE Trans. Syst. Man Cybern. Syst. 54(8): 5012-5024 (2024) - [c49]Siyuan Hu, Zheng Wang, Peng Hu, Xi Peng, Jie Wu, Hongyuan Zhu, Yew Soon Ong:
PrefAce: Face-Centric Pretraining with Self-Structure Aware Distillation. AAAI 2024: 12538-12546 - [c48]Yiding Lu, Yijie Lin, Mouxing Yang, Dezhong Peng, Peng Hu, Xi Peng:
Decoupled Contrastive Multi-View Clustering with High-Order Random Walks. AAAI 2024: 14193-14201 - [c47]Yang Qin, Yingke Chen, Dezhong Peng, Xi Peng, Joey Tianyi Zhou, Peng Hu:
Noisy-Correspondence Learning for Text-to-Image Person Re-Identification. CVPR 2024: 27187-27196 - [c46]Yijie Lin, Jie Zhang, Zhenyu Huang, Jia Liu, Zujie Wen, Xi Peng:
Multi-granularity Correspondence Learning from Long-term Noisy Videos. ICLR 2024 - [c45]Mouxing Yang, Yunfan Li, Changqing Zhang, Peng Hu, Xi Peng:
Test-time Adaptation against Multi-modal Reliability Bias. ICLR 2024 - [c44]Yuxin Tian, Mouxing Yang, Yunfan Li, Dayiheng Liu, Xingzhang Ren, Xi Peng, Jiancheng Lv:
An Empirical Study of Parameter Efficient Fine-tuning on Vision-Language Pre-train Model. ICME 2024: 1-6 - [c43]Yunfan Li, Peng Hu, Dezhong Peng, Jiancheng Lv, Jianping Fan, Xi Peng:
Image Clustering with External Guidance. ICML 2024 - [c42]Yuanbiao Gou, Haiyu Zhao, Boyun Li, Xinyan Xiao, Xi Peng:
Test-Time Degradation Adaptation for Open-Set Image Restoration. ICML 2024 - [c41]Changhao He, Hongyuan Zhu, Peng Hu, Xi Peng:
Robust Variational Contrastive Learning for Partially View-unaligned Clustering. ACM Multimedia 2024: 4167-4176 - [c40]Longan Wang, Yang Qin, Yuan Sun, Dezhong Peng, Xi Peng, Peng Hu:
Robust Contrastive Cross-modal Hashing with Noisy Labels. ACM Multimedia 2024: 5752-5760 - [i42]Yijie Lin, Jie Zhang, Zhenyu Huang, Jia Liu, Zujie Wen, Xi Peng:
Multi-granularity Correspondence Learning from Long-term Noisy Videos. CoRR abs/2401.16702 (2024) - [i41]Yuxin Tian, Mouxing Yang, Yunfan Li, Dayiheng Liu, Xingzhang Ren, Xi Peng, Jiancheng Lv:
An Empirical Study of Parameter Efficient Fine-tuning on Vision-Language Pre-train Model. CoRR abs/2403.08433 (2024) - [i40]Qingyang Zhang, Yake Wei, Zongbo Han, Huazhu Fu, Xi Peng, Cheng Deng, Qinghua Hu, Cai Xu, Jie Wen, Di Hu, Changqing Zhang:
Multimodal Fusion on Low-quality Data: A Comprehensive Survey. CoRR abs/2404.18947 (2024) - [i39]Yiding Lu, Haobin Li, Yunfan Li, Yijie Lin, Xi Peng:
A Survey on Deep Clustering: From the Prior Perspective. CoRR abs/2406.19602 (2024) - [i38]Jie Chen, Hua Mao, Yuanbiao Gou, Xi Peng:
Hierarchical Sparse Representation Clustering for High-Dimensional Data Streams. CoRR abs/2409.04698 (2024) - [i37]Haiyun Yao, Zongbo Han, Huazhu Fu, Xi Peng, Qinghua Hu, Changqing Zhang:
Out-Of-Distribution Detection with Diversification (Provably). CoRR abs/2411.14049 (2024) - [i36]Jie Chen, Hua Mao, Yuanbiao Gou, Zhu Wang, Xi Peng:
Self-Supervised Conditional Distribution Learning on Graphs. CoRR abs/2411.15206 (2024) - [i35]Boyun Li, Haiyu Zhao, Wenxin Wang, Peng Hu, Yuanbiao Gou, Xi Peng:
MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration. CoRR abs/2412.20066 (2024) - 2023
- [j48]Mouxing Yang, Yunfan Li, Peng Hu, Jinfeng Bai, Jiancheng Lv, Xi Peng:
Robust Multi-View Clustering With Incomplete Information. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 1055-1069 (2023) - [j47]Peng Hu, Hongyuan Zhu, Jie Lin, Dezhong Peng, Yin-Ping Zhao, Xi Peng:
Unsupervised Contrastive Cross-Modal Hashing. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3877-3889 (2023) - [j46]Yijie Lin, Yuanbiao Gou, Xiaotian Liu, Jinfeng Bai, Jiancheng Lv, Xi Peng:
Dual Contrastive Prediction for Incomplete Multi-View Representation Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4447-4461 (2023) - [j45]Peng Hu, Zhenyu Huang, Dezhong Peng, Xu Wang, Xi Peng:
Cross-Modal Retrieval With Partially Mismatched Pairs. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9595-9610 (2023) - [j44]Jie Chen, Hua Mao, Dezhong Peng, Changqing Zhang, Xi Peng:
Multiview Clustering by Consensus Spectral Rotation Fusion. IEEE Trans. Image Process. 32: 5153-5166 (2023) - [j43]Jie Chen, Zhu Wang, Hua Mao, Xi Peng:
Low-Rank Tensor Learning for Incomplete Multiview Clustering. IEEE Trans. Knowl. Data Eng. 35(11): 11556-11569 (2023) - [c39]Liang Jiang, Zhenyu Huang, Jia Liu, Zujie Wen, Xi Peng:
Robust Domain Adaptation for Machine Reading Comprehension. AAAI 2023: 8060-8069 - [c38]Yanglin Feng, Hongyuan Zhu, Dezhong Peng, Xi Peng, Peng Hu:
RONO: Robust Discriminative Learning with Noisy Labels for 2D-3D Cross-Modal Retrieval. CVPR 2023: 11610-11619 - [c37]Haiyu Zhao, Yuanbiao Gou, Boyun Li, Dezhong Peng, Jiancheng Lv, Xi Peng:
Comprehensive and Delicate: An Efficient Transformer for Image Restoration. CVPR 2023: 14122-14132 - [c36]Yuanbiao Gou, Peng Hu, Jiancheng Lv, Hongyuan Zhu, Xi Peng:
Rethinking Image Super Resolution from Long-Tailed Distribution Learning Perspective. CVPR 2023: 14327-14336 - [c35]Pengxin Zeng, Yunfan Li, Peng Hu, Dezhong Peng, Jiancheng Lv, Xi Peng:
Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric. CVPR 2023: 23986-23995 - [c34]Jie Chen, Hua Mao, Wai Lok Woo, Xi Peng:
Deep Multiview Clustering by Contrasting Cluster Assignments. ICCV 2023: 16706-16715 - [c33]Yijie Lin, Mouxing Yang, Jun Yu, Peng Hu, Changqing Zhang, Xi Peng:
Graph Matching with Bi-level Noisy Correspondence. ICCV 2023: 23305-23314 - [c32]Jiawei Wu, Changqing Zhang, Zuoyong Li, Huazhu Fu, Xi Peng, Joey Tianyi Zhou:
dugMatting: Decomposed-Uncertainty-Guided Matting. ICML 2023: 37846-37859 - [c31]Qingyang Zhang, Haitao Wu, Changqing Zhang, Qinghua Hu, Huazhu Fu, Joey Tianyi Zhou, Xi Peng:
Provable Dynamic Fusion for Low-Quality Multimodal Data. ICML 2023: 41753-41769 - [c30]Haobin Li, Yunfan Li, Mouxing Yang, Peng Hu, Dezhong Peng, Xi Peng:
Incomplete Multi-view Clustering via Prototype-based Imputation. IJCAI 2023: 3911-3919 - [c29]Yanglin Feng, Hongyuan Zhu, Dezhong Peng, Xi Peng, Peng Hu:
ROAD: Robust Unsupervised Domain Adaptation with Noisy Labels. ACM Multimedia 2023: 7264-7273 - [c28]Yang Qin, Yuan Sun, Dezhong Peng, Joey Tianyi Zhou, Xi Peng, Peng Hu:
Cross-modal Active Complementary Learning with Self-refining Correspondence. NeurIPS 2023 - [i34]Haobin Li, Yunfan Li, Mouxing Yang, Peng Hu, Dezhong Peng, Xi Peng:
Incomplete Multi-view Clustering via Prototype-based Imputation. CoRR abs/2301.11045 (2023) - [i33]Jie Chen, Hua Mao, Wai Lok Woo, Xi Peng:
Deep Multiview Clustering by Contrasting Cluster Assignments. CoRR abs/2304.10769 (2023) - [i32]Pengxin Zeng, Mouxing Yang, Yiding Lu, Changqing Zhang, Peng Hu, Xi Peng:
Semantic Invariant Multi-view Clustering with Fully Incomplete Information. CoRR abs/2305.12743 (2023) - [i31]Jiawei Wu, Changqing Zhang, Zuoyong Li, Huazhu Fu, Xi Peng, Joey Tianyi Zhou:
dugMatting: Decomposed-Uncertainty-Guided Matting. CoRR abs/2306.01452 (2023) - [i30]Qingyang Zhang, Haitao Wu, Changqing Zhang, Qinghua Hu, Huazhu Fu, Joey Tianyi Zhou, Xi Peng:
Provable Dynamic Fusion for Low-Quality Multimodal Data. CoRR abs/2306.02050 (2023) - [i29]Yang Qin, Yingke Chen, Dezhong Peng, Xi Peng, Joey Tianyi Zhou, Peng Hu:
Noisy-Correspondence Learning for Text-to-Image Person Re-identification. CoRR abs/2308.09911 (2023) - [i28]Yiding Lu, Yijie Lin, Mouxing Yang, Dezhong Peng, Peng Hu, Xi Peng:
Decoupled Contrastive Multi-view Clustering with High-order Random Walks. CoRR abs/2308.11164 (2023) - [i27]Yunfan Li, Peng Hu, Dezhong Peng, Jiancheng Lv, Jianping Fan, Xi Peng:
Image Clustering with External Guidance. CoRR abs/2310.11989 (2023) - [i26]Yang Qin, Yuan Sun, Dezhong Peng, Joey Tianyi Zhou, Xi Peng, Peng Hu:
Cross-modal Active Complementary Learning with Self-refining Correspondence. CoRR abs/2310.17468 (2023) - [i25]Jie Chen, Zhiming Li, Hua Mao, Wai Lok Woo, Xi Peng:
Cross-View Graph Consistency Learning for Invariant Graph Representations. CoRR abs/2311.11821 (2023) - [i24]Yuanbiao Gou, Haiyu Zhao, Boyun Li, Xinyan Xiao, Xi Peng:
Exploiting Diffusion Priors for All-in-One Image Restoration. CoRR abs/2312.02197 (2023) - 2022
- [j42]Yunfan Li, Mouxing Yang, Dezhong Peng, Taihao Li, Jiantao Huang, Xi Peng:
Twin Contrastive Learning for Online Clustering. Int. J. Comput. Vis. 130(9): 2205-2221 (2022) - [j41]Xi Peng, Yunfan Li, Ivor W. Tsang, Hongyuan Zhu, Jiancheng Lv, Joey Tianyi Zhou:
XAI Beyond Classification: Interpretable Neural Clustering. J. Mach. Learn. Res. 23: 6:1-6:28 (2022) - [j40]Joey Tianyi Zhou, Le Zhang, Jiawei Du, Xi Peng, Zhiwen Fang, Zhe Xiao, Hongyuan Zhu:
Locality-Aware Crowd Counting. IEEE Trans. Pattern Anal. Mach. Intell. 44(7): 3602-3613 (2022) - [j39]Peng Hu, Xi Peng, Hongyuan Zhu, Liangli Zhen, Jie Lin, Huaibai Yan, Dezhong Peng:
Deep Semisupervised Multiview Learning With Increasing Views. IEEE Trans. Cybern. 52(12): 12954-12965 (2022) - [j38]Ming Yan, Cen Chen, Jiawei Du, Xi Peng, Joey Tianyi Zhou, Zeng Zeng:
Memory-Assistant Collaborative Language Understanding for Artificial Intelligence of Things. IEEE Trans. Ind. Informatics 18(5): 3349-3357 (2022) - [j37]Boyun Li, Yijie Lin, Jinfeng Bai, Peng Hu, Jiancheng Lv, Xi Peng:
Unsupervised Neural Rendering for Image Hazing. IEEE Trans. Image Process. 31: 3987-3996 (2022) - [j36]Liangli Zhen, Peng Hu, Xi Peng, Rick Siow Mong Goh, Joey Tianyi Zhou:
Deep Multimodal Transfer Learning for Cross-Modal Retrieval. IEEE Trans. Neural Networks Learn. Syst. 33(2): 798-810 (2022) - [c27]Mouxing Yang, Zhenyu Huang, Peng Hu, Taihao Li, Jiancheng Lv, Xi Peng:
Learning with Twin Noisy Labels for Visible-Infrared Person Re-Identification. CVPR 2022: 14288-14297 - [c26]Boyun Li, Xiao Liu, Peng Hu, Zhongqin Wu, Jiancheng Lv, Xi Peng:
All-In-One Image Restoration for Unknown Corruption. CVPR 2022: 17431-17441 - [c25]Junhong Liu, Yijie Lin, Liang Jiang, Jia Liu, Zujie Wen, Xi Peng:
Improve Interpretability of Neural Networks via Sparse Contrastive Coding. EMNLP (Findings) 2022: 460-470 - [c24]Yang Qin, Dezhong Peng, Xi Peng, Xu Wang, Peng Hu:
Deep Evidential Learning with Noisy Correspondence for Cross-modal Retrieval. ACM Multimedia 2022: 4948-4956 - [c23]Yuanbiao Gou, Peng Hu, Jiancheng Lv, Joey Tianyi Zhou, Xi Peng:
Multi-Scale Adaptive Network for Single Image Denoising. NeurIPS 2022 - [i23]Yuanbiao Gou, Peng Hu, Jiancheng Lv, Xi Peng:
Multi-Scale Adaptive Network for Single Image Denoising. CoRR abs/2203.04313 (2022) - [i22]Peng Hu, Xi Peng, Hongyuan Zhu, Mohamed M. Sabry Aly, Jie Lin:
OPQ: Compressing Deep Neural Networks with One-shot Pruning-Quantization. CoRR abs/2205.11141 (2022) - [i21]Liang Jiang, Zhenyu Huang, Jia Liu, Zujie Wen, Xi Peng:
Robust Domain Adaptation for Machine Reading Comprehension. CoRR abs/2209.11615 (2022) - [i20]Pengxin Zeng, Yunfan Li, Peng Hu, Dezhong Peng, Jiancheng Lv, Xi Peng:
Deep Fair Clustering via Maximizing and Minimizing Mutual Information. CoRR abs/2209.12396 (2022) - [i19]Yunfan Li, Mouxing Yang, Dezhong Peng, Taihao Li, Jiantao Huang, Xi Peng:
Twin Contrastive Learning for Online Clustering. CoRR abs/2210.11680 (2022) - [i18]Yijie Lin, Mouxing Yang, Jun Yu, Peng Hu, Changqing Zhang, Xi Peng:
Graph Matching with Bi-level Noisy Correspondence. CoRR abs/2212.04085 (2022) - [i17]Wenxin Wang, Boyun Li, Yuanbiao Gou, Peng Hu, Xi Peng:
Relationship Quantification of Image Degradations. CoRR abs/2212.04148 (2022) - 2021
- [j35]Boyun Li, Yuanbiao Gou, Shuhang Gu, Zitao Liu, Joey Tianyi Zhou, Xi Peng:
You Only Look Yourself: Unsupervised and Untrained Single Image Dehazing Neural Network. Int. J. Comput. Vis. 129(5): 1754-1767 (2021) - [j34]Joey Tianyi Zhou, Hao Zhang, Di Jin, Xi Peng:
Dual Adversarial Transfer for Sequence Labeling. IEEE Trans. Pattern Anal. Mach. Intell. 43(2): 434-446 (2021) - [j33]Weixin Luo, Wen Liu, Dongze Lian, Jinhui Tang, Lixin Duan, Xi Peng, Shenghua Gao:
Video Anomaly Detection with Sparse Coding Inspired Deep Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 43(3): 1070-1084 (2021) - [j32]Zhao Kang, Chong Peng, Qiang Cheng, Xinwang Liu, Xi Peng, Zenglin Xu, Ling Tian:
Structured graph learning for clustering and semi-supervised classification. Pattern Recognit. 110: 107627 (2021) - [j31]Peng Hu, Xi Peng, Hongyuan Zhu, Jie Lin, Liangli Zhen, Wei Wang, Dezhong Peng:
Cross-modal discriminant adversarial network. Pattern Recognit. 112: 107734 (2021) - [j30]Bijue Jia, Jiancheng Lv, Xi Peng, Yao Chen, Shenglan Yang:
Hierarchical Regulated Iterative Network for Joint Task of Music Detection and Music Relative Loudness Estimation. IEEE ACM Trans. Audio Speech Lang. Process. 29: 1-13 (2021) - [j29]Hongyuan Zhu, Yi Cheng, Xi Peng, Joey Tianyi Zhou, Zhao Kang, Shijian Lu, Zhiwen Fang, Liyuan Li, Joo-Hwee Lim:
Single-Image Dehazing via Compositional Adversarial Network. IEEE Trans. Cybern. 51(2): 829-838 (2021) - [j28]Peng Hu, Xi Peng, Hongyuan Zhu, Jie Lin, Liangli Zhen, Dezhong Peng:
Joint Versus Independent Multiview Hashing for Cross-View Retrieval. IEEE Trans. Cybern. 51(10): 4982-4993 (2021) - [j27]Zhenyu Huang, Joey Tianyi Zhou, Hongyuan Zhu, Changqing Zhang, Jiancheng Lv, Xi Peng:
Deep Spectral Representation Learning From Multi-View Data. IEEE Trans. Image Process. 30: 5352-5362 (2021) - [c22]Peng Hu, Xi Peng, Hongyuan Zhu, Mohamed M. Sabry Aly, Jie Lin:
OPQ: Compressing Deep Neural Networks with One-shot Pruning-Quantization. AAAI 2021: 7780-7788 - [c21]Yunfan Li, Peng Hu, Jerry Zitao Liu, Dezhong Peng, Joey Tianyi Zhou, Xi Peng:
Contrastive Clustering. AAAI 2021: 8547-8555 - [c20]Mouxing Yang, Yunfan Li, Zhenyu Huang, Zitao Liu, Peng Hu, Xi Peng:
Partially View-Aligned Representation Learning With Noise-Robust Contrastive Loss. CVPR 2021: 1134-1143 - [c19]Peng Hu, Xi Peng, Hongyuan Zhu, Liangli Zhen, Jie Lin:
Learning Cross-Modal Retrieval With Noisy Labels. CVPR 2021: 5403-5413 - [c18]Yijie Lin, Yuanbiao Gou, Zitao Liu, Boyun Li, Jiancheng Lv, Xi Peng:
COMPLETER: Incomplete Multi-View Clustering via Contrastive Prediction. CVPR 2021: 11174-11183 - [c17]Zhibin Wan, Changqing Zhang, Yu Geng, Huazhu Fu, Xi Peng, Pengfei Zhu, Qinghua Hu:
Cross-View Equivariant Auto-Encoder. ICME 2021: 1-6 - [c16]Zhenyu Huang, Guocheng Niu, Xiao Liu, Wenbiao Ding, Xinyan Xiao, Hua Wu, Xi Peng:
Learning with Noisy Correspondence for Cross-modal Matching. NeurIPS 2021: 29406-29419 - [i16]Boyun Li, Yijie Lin, Xiao Liu, Peng Hu, Jiancheng Lv, Xi Peng:
Unsupervised Neural Rendering for Image Hazing. CoRR abs/2107.06681 (2021) - 2020
- [j26]Yanjie Gou, Yinjie Lei, Lingqiao Liu, Pingping Zhang, Xi Peng:
A Dynamic Parameter Enhanced Network for distant supervised relation extraction. Knowl. Based Syst. 197: 105912 (2020) - [j25]Zhao Kang, Xinjia Zhao, Chong Peng, Hongyuan Zhu, Joey Tianyi Zhou, Xi Peng, Wenyu Chen, Zenglin Xu:
Partition level multiview subspace clustering. Neural Networks 122: 279-288 (2020) - [j24]Jian Wang, Jiancheng Lv, Xue Yang, Chenwei Tang, Xi Peng:
Multimodal image-to-image translation between domains with high internal variability. Soft Comput. 24(23): 18173-18184 (2020) - [j23]Joey Tianyi Zhou, Le Zhang, Zhiwen Fang, Jiawei Du, Xi Peng, Yang Xiao:
Attention-Driven Loss for Anomaly Detection in Video Surveillance. IEEE Trans. Circuits Syst. Video Technol. 30(12): 4639-4647 (2020) - [j22]Tao Zhou, Changqing Zhang, Xi Peng, Harish Bhaskar, Jie Yang:
Dual Shared-Specific Multiview Subspace Clustering. IEEE Trans. Cybern. 50(8): 3517-3530 (2020) - [j21]Boyun Li, Yuanbiao Gou, Jerry Zitao Liu, Hongyuan Zhu, Joey Tianyi Zhou, Xi Peng:
Zero-Shot Image Dehazing. IEEE Trans. Image Process. 29: 8457-8466 (2020) - [j20]Joey Tianyi Zhou, Hao Zhang, Di Jin, Xi Peng, Yang Xiao, Zhiguo Cao:
RoSeq: Robust Sequence Labeling. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2304-2314 (2020) - [j19]Xi Peng, Hongyuan Zhu, Jiashi Feng, Chunhua Shen, Haixian Zhang, Joey Tianyi Zhou:
Deep Clustering With Sample-Assignment Invariance Prior. IEEE Trans. Neural Networks Learn. Syst. 31(11): 4857-4868 (2020) - [j18]Xi Peng, Jiashi Feng, Joey Tianyi Zhou, Yingjie Lei, Shuicheng Yan:
Deep Subspace Clustering. IEEE Trans. Neural Networks Learn. Syst. 31(12): 5509-5521 (2020) - [c15]Peng Hu, Hongyuan Zhu, Xi Peng, Jie Lin:
Semi-Supervised Multi-Modal Learning with Balanced Spectral Decomposition. AAAI 2020: 99-106 - [c14]Yuanbiao Gou, Boyun Li, Zitao Liu, Songfan Yang, Xi Peng:
CLEARER: Multi-Scale Neural Architecture Search for Image Restoration. NeurIPS 2020 - [c13]Zhenyu Huang, Peng Hu, Joey Tianyi Zhou, Jiancheng Lv, Xi Peng:
Partially View-aligned Clustering. NeurIPS 2020 - [i15]Joey Tianyi Zhou, Xi Peng, Yew-Soon Ong:
Heterogeneous Representation Learning: A Review. CoRR abs/2004.13303 (2020) - [i14]Boyun Li, Yuanbiao Gou, Shuhang Gu, Jerry Zitao Liu, Joey Tianyi Zhou, Xi Peng:
You Only Look Yourself: Unsupervised and Untrained Single Image Dehazing Neural Network. CoRR abs/2006.16829 (2020) - [i13]Zhao Kang, Chong Peng, Qiang Cheng, Xinwang Liu, Xi Peng, Zenglin Xu, Ling Tian:
Structured Graph Learning for Clustering and Semi-supervised Classification. CoRR abs/2008.13429 (2020) - [i12]Yunfan Li, Peng Hu, Zitao Liu, Dezhong Peng, Joey Tianyi Zhou, Xi Peng:
Contrastive Clustering. CoRR abs/2009.09687 (2020)
2010 – 2019
- 2019
- [j17]Zhenyu Huang, Hongyuan Zhu, Joey Tianyi Zhou, Xi Peng:
Multiple Marginal Fisher Analysis. IEEE Trans. Ind. Electron. 66(12): 9798-9807 (2019) - [j16]Joey Tianyi Zhou, Jiawei Du, Hongyuan Zhu, Xi Peng, Yong Liu, Rick Siow Mong Goh:
AnomalyNet: An Anomaly Detection Network for Video Surveillance. IEEE Trans. Inf. Forensics Secur. 14(10): 2537-2550 (2019) - [j15]Joey Tianyi Zhou, Meng Fang, Hao Zhang, Chen Gong, Xi Peng, Zhiguo Cao, Rick Siow Mong Goh:
Learning With Annotation of Various Degrees. IEEE Trans. Neural Networks Learn. Syst. 30(9): 2794-2804 (2019) - [c12]Hongyuan Zhu, Xi Peng, Joey Tianyi Zhou, Songfan Yang, Vijay Chanderasekh, Liyuan Li, Joo-Hwee Lim:
Singe Image Rain Removal with Unpaired Information: A Differentiable Programming Perspective. AAAI 2019: 9332-9339 - [c11]Canyi Lu, Xi Peng, Yunchao Wei:
Low-Rank Tensor Completion With a New Tensor Nuclear Norm Induced by Invertible Linear Transforms. CVPR 2019: 5996-6004 - [c10]Ruihuang Li, Changqing Zhang, Huazhu Fu, Xi Peng, Joey Tianyi Zhou, Qinghua Hu:
Reciprocal Multi-Layer Subspace Learning for Multi-View Clustering. ICCV 2019: 8171-8179 - [c9]Xi Peng, Zhenyu Huang, Jiancheng Lv, Hongyuan Zhu, Joey Tianyi Zhou:
COMIC: Multi-view Clustering Without Parameter Selection. ICML 2019: 5092-5101 - [c8]Zhenyu Huang, Joey Tianyi Zhou, Xi Peng, Changqing Zhang, Hongyuan Zhu, Jiancheng Lv:
Multi-view Spectral Clustering Network. IJCAI 2019: 2563-2569 - [i11]Yanjie Gou, Yinjie Lei, Lingqiao Liu, Pingping Zhang, Jingyi Zhang, Xi Peng:
DNNRE: A Dynamic Neural Network for Distant Supervised Relation Extraction. CoRR abs/1911.06489 (2019) - 2018
- [j14]Xinxing Xu, Shijie Xiao, Zhang Yi, Xi Peng, Yong Liu:
Orthogonal Principal Coefficients Embedding for Unsupervised Subspace Learning. IEEE Trans. Cogn. Dev. Syst. 10(2): 280-289 (2018) - [j13]Xi Peng, Jiashi Feng, Shijie Xiao, Wei-Yun Yau, Joey Tianyi Zhou, Songfan Yang:
Structured AutoEncoders for Subspace Clustering. IEEE Trans. Image Process. 27(10): 5076-5086 (2018) - [j12]Xi Peng, Canyi Lu, Zhang Yi, Huajin Tang:
Connections Between Nuclear-Norm and Frobenius-Norm-Based Representations. IEEE Trans. Neural Networks Learn. Syst. 29(1): 218-224 (2018) - [j11]Joey Tianyi Zhou, Heng Zhao, Xi Peng, Meng Fang, Zheng Qin, Rick Siow Mong Goh:
Transfer Hashing: From Shallow to Deep. IEEE Trans. Neural Networks Learn. Syst. 29(12): 6191-6201 (2018) - [c7]Joey Tianyi Zhou, Kai Di, Jiawei Du, Xi Peng, Hao Yang, Sinno Jialin Pan, Ivor W. Tsang, Yong Liu, Zheng Qin, Rick Siow Mong Goh:
SC2Net: Sparse LSTMs for Sparse Coding. AAAI 2018: 4588-4595 - [c6]Hongyuan Zhu, Xi Peng, Vijay Chandrasekhar, Liyuan Li, Joo-Hwee Lim:
DehazeGAN: When Image Dehazing Meets Differential Programming. IJCAI 2018: 1234-1240 - [i10]Xi Peng, Joey Tianyi Zhou, Hongyuan Zhu:
k-meansNet: When k-means Meets Differentiable Programming. CoRR abs/1808.07292 (2018) - 2017
- [j10]Jiwen Lu, Xi Peng, Weihong Deng, Ajmal S. Mian:
Regularization techniques for high-dimensional data analysis. Image Vis. Comput. 60: 1-3 (2017) - [j9]Xi Peng, Zhiding Yu, Zhang Yi, Huajin Tang:
Constructing the L2-Graph for Robust Subspace Learning and Subspace Clustering. IEEE Trans. Cybern. 47(4): 1053-1066 (2017) - [j8]Xi Peng, Jiwen Lu, Zhang Yi, Rui Yan:
Automatic Subspace Learning via Principal Coefficients Embedding. IEEE Trans. Cybern. 47(11): 3583-3596 (2017) - [j7]Xi Peng, Bo Zhao, Rui Yan, Huajin Tang, Zhang Yi:
Bag of Events: An Efficient Probability-Based Feature Extraction Method for AER Image Sensors. IEEE Trans. Neural Networks Learn. Syst. 28(4): 791-803 (2017) - [c5]Xi Peng, Jiashi Feng, Jiwen Lu, Wei-Yun Yau, Zhang Yi:
Cascade Subspace Clustering. AAAI 2017: 2478-2484 - [i9]Xi Peng, Jiashi Feng, Shijie Xiao, Jiwen Lu, Zhang Yi, Shuicheng Yan:
Deep Sparse Subspace Clustering. CoRR abs/1709.08374 (2017) - 2016
- [j6]Xi Peng, Miaolong Yuan, Zhiding Yu, Wei-Yun Yau, Lei Zhang:
Semi-supervised subspace learning with L2graph. Neurocomputing 208: 143-152 (2016) - [j5]Xi Peng, Huajin Tang, Lei Zhang, Zhang Yi, Shijie Xiao:
A Unified Framework for Representation-Based Subspace Clustering of Out-of-Sample and Large-Scale Data. IEEE Trans. Neural Networks Learn. Syst. 27(12): 2499-2512 (2016) - [c4]Xi Peng, Shijie Xiao, Jiashi Feng, Wei-Yun Yau, Zhang Yi:
Deep Subspace Clustering with Sparsity Prior. IJCAI 2016: 1925-1931 - 2015
- [j4]Xi Peng, Rui Yan, Bo Zhao, Huajin Tang, Zhang Yi:
Fast low rank representation based spatial pyramid matching for image classification. Knowl. Based Syst. 90: 14-22 (2015) - [c3]Xi Peng, Zhang Yi, Huajin Tang:
Robust Subspace Clustering via Thresholding Ridge Regression. AAAI 2015: 3827-3833 - [c2]Aditya Narayanamoorthy, Xi Peng, Huajin Tang:
Applying low rank representation based spatial pyramid matching in welding image classification. RAM/CIS 2015: CIS:208-211 - [i8]Xi Peng, Canyi Lu, Zhang Yi, Huajin Tang:
Connections Between Nuclear Norm and Frobenius Norm Based Representation. CoRR abs/1502.07423 (2015) - 2014
- [j3]Xi Peng, Lei Zhang, Zhang Yi, Kok Kiong Tan:
Learning locality-constrained collaborative representation for robust face recognition. Pattern Recognit. 47(9): 2794-2806 (2014) - [i7]Xi Peng, Rui Yan, Bo Zhao, Huajin Tang, Zhang Yi:
Fast Low-rank Representation based Spatial Pyramid Matching for Image Classification. CoRR abs/1409.5786 (2014) - [i6]Xi Peng, Zhang Yi, Huajin Tang:
Principal Coefficients Embedding: Theory and Algorithm. CoRR abs/1411.4419 (2014) - 2013
- [j2]Xi Peng, Zhang Yi, Xiao-Yong Wei, Dezhong Peng, Yongsheng Sang:
Free-gram phrase identification for modeling Chinese text. Inf. Process. Lett. 113(4): 137-144 (2013) - [j1]Liangli Zhen, Xi Peng, Dezhong Peng:
Local Neighborhood Embedding for Unsupervised Nonlinear Dimension Reduction. J. Softw. 8(2): 410-417 (2013) - [c1]Xi Peng, Lei Zhang, Zhang Yi:
Scalable Sparse Subspace Clustering. CVPR 2013: 430-437 - [i5]Xi Peng, Lei Zhang, Zhang Yi:
Inductive Sparse Subspace Clustering. CoRR abs/1303.0362 (2013) - [i4]Liangli Zhen, Zhang Yi, Xi Peng, Dezhong Peng:
Locally linear representation for subspace learning and clustering. CoRR abs/1304.6487 (2013) - [i3]Xi Peng, Lei Zhang, Zhang Yi:
An Out-of-sample Extension of Sparse Subspace Clustering and Low Rank Representation for Clustering Large Scale Data Sets. CoRR abs/1309.6487 (2013) - 2012
- [i2]Xi Peng, Lei Zhang, Zhang Yi:
Constructing L2-Graph For Subspace Learning and Segmentation. CoRR abs/1209.0841 (2012) - [i1]Xi Peng, Lei Zhang, Zhang Yi, Kok Kiong Tan:
Learning Locality-Constrained Collaborative Representation for Face Recognition. CoRR abs/1210.1316 (2012)
Coauthor Index
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