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Qinghai Zheng
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Journal Articles
- 2024
- [j22]Yiyang Zhou, Qinghai Zheng, Yifei Wang, Wenbiao Yan, Pengcheng Shi, Jihua Zhu:
MCoCo: Multi-level Consistency Collaborative multi-view clustering. Expert Syst. Appl. 238(Part B): 121976 (2024) - [j21]Shunshun Bai, Qinghai Zheng, Xiaojin Ren, Jihua Zhu:
Graph-guided imputation-free incomplete multi-view clustering. Expert Syst. Appl. 258: 125165 (2024) - [j20]Haoyu Tang, Yupeng Hu, Yunxiao Wang, Shuaike Zhang, Mingzhu Xu, Jihua Zhu, Qinghai Zheng:
Listen as you wish: Fusion of audio and text for cross-modal event detection in smart cities. Inf. Fusion 110: 102460 (2024) - [j19]Shoujie Lan, Qinghai Zheng, Yuanlong Yu:
Double-level View-correlation Multi-view Subspace Clustering. Knowl. Based Syst. 284: 111271 (2024) - [j18]Wenbiao Yan, Yiyang Zhou, Yifei Wang, Qinghai Zheng, Jihua Zhu:
Multi-view Semantic Consistency based Information Bottleneck for Clustering. Knowl. Based Syst. 288: 111448 (2024) - [j17]Shunshun Bai, Xiaojin Ren, Qinghai Zheng, Jihua Zhu:
Graph-Driven deep Multi-View Clustering with self-paced learning. Knowl. Based Syst. 296: 111871 (2024) - 2023
- [j16]Qinghai Zheng, Jihua Zhu, Zhongyu Li, Zhiqiang Tian, Chen Li:
Comprehensive Multi-view Representation Learning. Inf. Fusion 89: 198-209 (2023) - [j15]Yiyang Zhou, Qinghai Zheng, Shunshun Bai, Jihua Zhu:
Semantically consistent multi-view representation learning. Knowl. Based Syst. 278: 110899 (2023) - [j14]Qinghai Zheng, Jihua Zhu, Zhongyu Li, Haoyu Tang:
Graph-Guided Unsupervised Multiview Representation Learning. IEEE Trans. Circuits Syst. Video Technol. 33(1): 146-159 (2023) - [j13]Qinghai Zheng, Jihua Zhu, Haoyu Tang, Xinyuan Liu, Zhongyu Li, Huimin Lu:
Generalized Label Enhancement With Sample Correlations. IEEE Trans. Knowl. Data Eng. 35(1): 482-495 (2023) - 2022
- [j12]Qinghai Zheng, Jihua Zhu:
Multi-view Subspace Clustering with View Correlations via low-rank tensor learning. Comput. Electr. Eng. 100: 107939 (2022) - [j11]Xinyuan Liu, Jihua Zhu, Qinghai Zheng, Zhiqiang Tian, Zhongyu Li:
Semi-Supervised Label Distribution Learning with Co-regularization. Neurocomputing 491: 353-364 (2022) - [j10]Shuangxun Ma, Yuehu Liu, Guangcan Liu, Qinghai Zheng, Chi Zhang:
Orthogonal multi-view tensor-based learning for clustering. Neurocomputing 500: 592-603 (2022) - [j9]Shuangxun Ma, Qinghai Zheng, Yuehu Liu:
Essential multi-view graph learning for clustering. J. Ambient Intell. Humaniz. Comput. 13(11): 5225-5236 (2022) - [j8]Qinghai Zheng:
Large-Scale Multi-View Clustering via Fast Essential Subspace Representation Learning. IEEE Signal Process. Lett. 29: 1893-1897 (2022) - [j7]Qinghai Zheng, Jihua Zhu, Zhongyu Li:
Collaborative Unsupervised Multi-View Representation Learning. IEEE Trans. Circuits Syst. Video Technol. 32(7): 4202-4210 (2022) - [j6]Haoyu Tang, Jihua Zhu, Lin Wang, Qinghai Zheng, Tianwei Zhang:
Multi-Level Query Interaction for Temporal Language Grounding. IEEE Trans. Intell. Transp. Syst. 23(12): 25479-25488 (2022) - 2021
- [j5]Shuangxun Ma, Yuehu Liu, Qinghai Zheng, Yaochen Li, Zhichao Cui:
Multiview spectral clustering via complementary information. Concurr. Comput. Pract. Exp. 33(15) (2021) - [j4]Qinghai Zheng, Jihua Zhu, Yuanyuan Ma, Zhongyu Li, Zhiqiang Tian:
Multi-view subspace clustering networks with local and global graph information. Neurocomputing 449: 15-23 (2021) - [j3]Xinyuan Liu, Jihua Zhu, Qinghai Zheng, Zhongyu Li, Ruixin Liu, Jun Wang:
Bidirectional loss function for Label Enhancement and distribution learning. Knowl. Based Syst. 213: 106690 (2021) - 2020
- [j2]Qinghai Zheng, Jihua Zhu, Zhongyu Li, Shanmin Pang, Jun Wang, Yaochen Li:
Feature concatenation multi-view subspace clustering. Neurocomputing 379: 89-102 (2020) - [j1]Qinghai Zheng, Jihua Zhu, Zhiqiang Tian, Zhongyu Li, Shanmin Pang, Xiuyi Jia:
Constrained bilinear factorization multi-view subspace clustering. Knowl. Based Syst. 194: 105514 (2020)
Conference and Workshop Papers
- 2024
- [c5]Jinqian Chen, Jihua Zhu, Qinghai Zheng, Zhongyu Li, Zhiqiang Tian:
Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models. AAAI 2024: 11329-11337 - [c4]Binqiang Huang, Zhijie Huang, Shoujie Lan, Qinghai Zheng, Yuanlong Yu:
Incomplete Multi-View Clustering Via Inference and Evaluation. ICASSP 2024: 8180-8184 - 2023
- [c3]Qinghai Zheng, Jihua Zhu, Haoyu Tang:
Label Information Bottleneck for Label Enhancement. CVPR 2023: 7497-7506 - [c2]Jinqian Chen, Jihua Zhu, Qinghai Zheng:
Towards Fast and Stable Federated Learning: Confronting Heterogeneity via Knowledge Anchor. ACM Multimedia 2023: 8697-8706 - 2020
- [c1]Haoyu Tang, Jihua Zhu, Qinghai Zheng, Jun Wang, Shanmin Pang, Zhongyu Li:
Label Enhancement with Sample Correlations via Low-Rank Representation. AAAI 2020: 5932-5939
Informal and Other Publications
- 2024
- [i16]Jinqian Chen, Jihua Zhu, Qinghai Zheng, Zhongyu Li, Zhiqiang Tian:
Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models. CoRR abs/2402.16255 (2024) - [i15]Wenliang Zhong, Haoyu Tang, Qinghai Zheng, Mingzhu Xu, Yupeng Hu, Liqiang Nie:
Towards Stable and Storage-efficient Dataset Distillation: Matching Convexified Trajectory. CoRR abs/2406.19827 (2024) - 2023
- [i14]Yiyang Zhou, Qinghai Zheng, Wenbiao Yan, Yifei Wang, Jihua Zhu:
MCoCo: Multi-level Consistency Collaborative Multi-view Clustering. CoRR abs/2302.13339 (2023) - [i13]Wenbiao Yan, Jihua Zhu, Yiyang Zhou, Yifei Wang, Qinghai Zheng:
Multi-view Semantic Consistency based Information Bottleneck for Clustering. CoRR abs/2303.00002 (2023) - [i12]Yiyang Zhou, Qinghai Zheng, Shunshun Bai, Jihua Zhu:
Semantically Consistent Multi-view Representation Learning. CoRR abs/2303.04366 (2023) - [i11]Qinghai Zheng, Jihua Zhu, Haoyu Tang:
Label Information Bottleneck for Label Enhancement. CoRR abs/2303.06836 (2023) - [i10]Jinqian Chen, Jihua Zhu, Qinghai Zheng:
Towards Fast and Stable Federated Learning: Confronting Heterogeneity via Knowledge Anchor. CoRR abs/2312.02416 (2023) - 2021
- [i9]Haoyu Tang, Jihua Zhu, Qinghai Zheng, Zhiyong Cheng:
Query-graph with Cross-gating Attention Model for Text-to-Audio Grounding. CoRR abs/2106.14136 (2021) - 2020
- [i8]Qinghai Zheng, Jihua Zhu, Haoyu Tang, Xinyuan Liu, Zhongyu Li, Huimin Lu:
Generalized Label Enhancement with Sample Correlations. CoRR abs/2004.03104 (2020) - [i7]Qinghai Zheng, Jihua Zhu, Zhongyu Li, Shanmin Pang, Jun Wang, Lei Chen:
Consistent and Complementary Graph Regularized Multi-view Subspace Clustering. CoRR abs/2004.03106 (2020) - [i6]Xinyuan Liu, Jihua Zhu, Qinghai Zheng, Zhongyu Li, Ruixin Liu, Jun Wang:
Bidirectional Loss Function for Label Enhancement and Distribution Learning. CoRR abs/2007.03181 (2020) - [i5]Qinghai Zheng, Jihua Zhu, Shuangxun Ma:
Multi-view Hierarchical Clustering. CoRR abs/2010.07573 (2020) - [i4]Qinghai Zheng, Jihua Zhu, Zhongyu Li, Haoyu Tang, Shuangxun Ma:
Tensor-based Intrinsic Subspace Representation Learning for Multi-view Clustering. CoRR abs/2010.09193 (2020) - [i3]Qinghai Zheng, Jihua Zhu, Yuanyuan Ma, Zhongyu Li, Zhiqiang Tian:
Multi-view Subspace Clustering Networks with Local and Global Graph Information. CoRR abs/2010.09323 (2020) - 2019
- [i2]Qinghai Zheng, Jihua Zhu, Zhongyu Li, Shanmin Pang, Jun Wang:
Feature Concatenation Multi-view Subspace Clustering. CoRR abs/1901.10657 (2019) - [i1]Qinghai Zheng, Jihua Zhu, Zhiqiang Tian, Zhongyu Li, Shanmin Pang, Xiuyi Jia:
Constrained Bilinear Factorization Multi-view Subspace Clustering. CoRR abs/1906.08107 (2019)
Coauthor Index
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