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ORCIDZihua Zhao
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2020 – today
- 2026
[j9]Zihua Zhao
, Tianjie Dai, Mengxi Chen, Jiangchao Yao, Bo Han, Ya Zhang, Yanfeng Wang:
Privileged information assisted learning from noisy correspondence. Neurocomputing 672: 132733 (2026)- [j8]Haoliang Tang, Xuan Zheng, Yihang Lu, Zihua Zhao, Rong Wang, Feiping Nie:
Self-paced and structured graph-based ensemble clustering. Signal Process. 239: 110269 (2026) - 2025
- [j7]Yongbo Yu, Jie Wang, Weizhong Yu, Zihua Zhao, Zongcheng Miao, Feiping Nie:
Bidirectional fusion for deep contrastive multi-view clustering. Expert Syst. Appl. 287: 128193 (2025) - [j6]Zihua Zhao, Ting Wang, Haonan Xin, Rong Wang, Feiping Nie:
Multi-view clustering via high-order bipartite graph fusion. Inf. Fusion 113: 102630 (2025) - [j5]Zihua Zhao, Zhe Cao, Haonan Xin, Rong Wang, Danyang Wu, Zheng Wang, Feiping Nie:
Enhancing Clustering Performance With Tensorized High-Order Bipartite Graphs: A Structured Graph Learning Approach. IEEE Trans. Circuits Syst. Video Technol. 35(3): 2616-2631 (2025) - [j4]Zihua Zhao, Xinyi Hui, Huimin Chen, Ting Wang, Rong Wang, Feiping Nie:
Fuzzy Clustering via Orthogonal Tensor Decomposition on High-Order Anchor Graphs. IEEE Trans. Fuzzy Syst. 33(9): 2987-3000 (2025) - [j3]Zihua Zhao, Danyang Wu, Rong Wang, Zheng Wang, Feiping Nie, Xuelong Li:
Graph-Based Clustering: High-Order Bipartite Graph for Proximity Learning. IEEE Trans. Knowl. Data Eng. 37(8): 4649-4663 (2025) - [c7]Zihua Zhao, Yuyu Jia, Huimin Chen, Fangyuan Xie, Ziming Li, Rong Wang:
High-Order Anchor Graph-Based Clustering for Efficient Structured Proximity Matrix Learning. ADMA (4) 2025: 69-83 - [c6]Wanyi Chen, Zihua Zhao, Jiangchao Yao, Ya Zhang, Jiajun Bu, Haishuai Wang:
Multi-modal Medical Diagnosis via Large-small Model Collaboration. CVPR 2025: 30763-30773 - [c5]Zhe Cao, Haonan Xin, Zihua Zhao, Jie Wang, Rong Wang:
Consensus Graph-Based Spectral Ensemble Clustering via Low-Rank Tensor Learning. ICASSP 2025: 1-5 - [i6]Zihua Zhao, Feng Hong, Mengxi Chen, Pengyi Chen, Benyuan Liu, Jiangchao Yao, Ya Zhang, Yanfeng Wang:
Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning. CoRR abs/2507.12998 (2025) - [i5]Ning Liao, Xiaoxing Wang, Zehao Lin, Weiyang Guo, Feng Hong, Shixiang Song, Geng Yu, Zihua Zhao, Sitao Xie, Longxuan Wei, Xiangqi Jin, Xiaohan Qin, Jiale Ma, Kai Chen, Jiangchao Yao, Zhouhan Lin, Junchi Yan, Zhiyu Li, Feiyu Xiong, Yanfeng Wang, Linfeng Zhang:
Innovator: Scientific Continued Pretraining with Fine-grained MoE Upcycling. CoRR abs/2507.18671 (2025) - [i4]Zizhuo Zhang, Jianing Zhu, Xinmu Ge, Zihua Zhao, Zhanke Zhou, Xuan Li, Xiao Feng, Jiangchao Yao, Bo Han:
Co-Reward: Self-supervised Reinforcement Learning for Large Language Model Reasoning via Contrastive Agreement. CoRR abs/2508.00410 (2025) - [i3]Feng Hong, Yu Huang, Zihua Zhao, Zhihan Zhou, Jiangchao Yao, Dongsheng Li, Ya Zhang, Yanfeng Wang:
Dual-granularity Sinkhorn Distillation for Enhanced Learning from Long-tailed Noisy Data. CoRR abs/2510.08179 (2025) - 2024
- [j2]Zihua Zhao, Feiping Nie, Rong Wang, Zheng Wang, Xuelong Li:
An Balanced, and Scalable Graph-Based Multiview Clustering Method. IEEE Trans. Knowl. Data Eng. 36(12): 7643-7656 (2024) - [j1]Zihua Zhao, Rong Wang, Zheng Wang, Feiping Nie, Xuelong Li:
Graph Joint Representation Clustering via Penalized Graph Contrastive Learning. IEEE Trans. Neural Networks Learn. Syst. 35(12): 17650-17661 (2024) - [c4]Zihua Zhao, Mengxi Chen, Tianjie Dai, Jiangchao Yao, Bo Han, Ya Zhang, Yanfeng Wang:
Mitigating Noisy Correspondence by Geometrical Structure Consistency Learning. CVPR 2024: 27371-27380 - [c3]Yuhang Zhou, Zihua Zhao, Siyuan Du, Haolin Li, Jiangchao Yao, Ya Zhang, Yanfeng Wang:
Exploring Training on Heterogeneous Data with Mixture of Low-rank Adapters. ICML 2024: 62294-62306 - [c2]Mengxi Chen, Fei Zhang, Zihua Zhao, Jiangchao Yao, Ya Zhang, Yanfeng Wang:
Probabilistic Conformal Distillation for Enhancing Missing Modality Robustness. NeurIPS 2024 - [i2]Zihua Zhao, Mengxi Chen, Tianjie Dai, Jiangchao Yao, Bo Han, Ya Zhang, Yanfeng Wang:
Mitigating Noisy Correspondence by Geometrical Structure Consistency Learning. CoRR abs/2405.16996 (2024) - [i1]Yuhang Zhou, Zihua Zhao, Haolin Li, Siyuan Du, Jiangchao Yao, Ya Zhang, Yanfeng Wang:
Exploring Training on Heterogeneous Data with Mixture of Low-rank Adapters. CoRR abs/2406.09679 (2024) - 2021
- [c1]Xiting Wang, Xinwei Gu, Jie Cao, Zihua Zhao, Yulan Yan, Bhuvan Middha, Xing Xie:
Reinforcing Pretrained Models for Generating Attractive Text Advertisements. KDD 2021: 3697-3707
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