Zihua Zhao

According to our database, Zihua Zhao authored at least 24 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Focal Reward: Balanced Reinforcement Learning under Rubric-Based Rewards.

Yu Huang, Zihua Zhao, Zhaoxin Huan, Wanli Gu, Feng Hong, Xinmu Ge, Lin Yuan, Weichang Wu, Qiang Hu, Xiaolu Zhang, Jun Zhou, Jiangchao Yao

CoRR, May, 2026

Dual-granularity Sinkhorn Distillation for Enhanced Learning from Long-Tailed Noisy Data.

Feng Hong, Yu Huang, Zihua Zhao, Zhihan Zhou, Jiangchao Yao, Dongsheng Li, Ya Zhang, Yanfeng Wang

Mach. Learn., March, 2026

SimMTC: Simple Multi-View Tensor Clustering.

Haonan Xin, Zhezheng Hao, Zhe Cao, Zihua Zhao, Rong Wang, Feiping Nie

IEEE Trans. Image Process., 2026

Multi-view clustering via contrastive approach.

Bo Yan, Haonan Xin, Zihua Zhao, Jiacong Xiao, Rong Wang

Signal Process., 2026

Self-paced and structured graph-based ensemble clustering.

Haoliang Tang, Xuan Zheng, Yihang Lu, Zihua Zhao, Rong Wang, Feiping Nie

Signal Process., 2026

A new hyperchaotic image encryption scheme based on DNA computing and SHA-512.

Shuliang Sun, Xiping Wang, Zihua Zhao

Int. J. Sens. Networks, 2026

Privileged information assisted learning from noisy correspondence.

Zihua Zhao, Tianjie Dai, Mengxi Chen, Jiangchao Yao, Bo Han, Ya Zhang, Yanfeng Wang

Neurocomputing, 2026

2025

Fuzzy Clustering via Orthogonal Tensor Decomposition on High-Order Anchor Graphs.

Zihua Zhao, Xinyi Hui, Huimin Chen, Ting Wang, Rong Wang, Feiping Nie

IEEE Trans. Fuzzy Syst., September, 2025

Graph-Based Clustering: High-Order Bipartite Graph for Proximity Learning.

Zihua Zhao, Danyang Wu, Rong Wang, Zheng Wang, Feiping Nie, Xuelong Li

IEEE Trans. Knowl. Data Eng., August, 2025

Co-Reward: Self-supervised Reinforcement Learning for Large Language Model Reasoning via Contrastive Agreement.

Zizhuo Zhang, Jianing Zhu, Xinmu Ge, Zihua Zhao, Zhanke Zhou, Xuan Li, Xiao Feng, Jiangchao Yao, Bo Han

CoRR, August, 2025

Innovator: Scientific Continued Pretraining with Fine-grained MoE Upcycling.

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

CoRR, July, 2025

Enhancing Clustering Performance With Tensorized High-Order Bipartite Graphs: A Structured Graph Learning Approach.

Zihua Zhao, Zhe Cao, Haonan Xin, Rong Wang, Danyang Wu, Zheng Wang, Feiping Nie

IEEE Trans. Circuits Syst. Video Technol., March, 2025

Multi-view clustering via high-order bipartite graph fusion.

Zihua Zhao, Ting Wang, Haonan Xin, Rong Wang, Feiping Nie

Inf. Fusion, 2025

Bidirectional fusion for deep contrastive multi-view clustering.

Yongbo Yu, Jie Wang, Weizhong Yu, Zihua Zhao, Zongcheng Miao, Feiping Nie

Expert Syst. Appl., 2025

Differential-Informed Sample Selection Accelerates Multimodal Contrastive Learning.

Zihua Zhao, Feng Hong, Mengxi Chen, Pengyi Chen, Benyuan Liu, Jiangchao Yao, Ya Zhang, Yanfeng Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Consensus Graph-Based Spectral Ensemble Clustering via Low-Rank Tensor Learning.

Zhe Cao, Haonan Xin, Zihua Zhao, Jie Wang, Rong Wang

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Multi-modal Medical Diagnosis via Large-small Model Collaboration.

Wanyi Chen, Zihua Zhao, Jiangchao Yao, Ya Zhang, Jiajun Bu, Haishuai Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

High-Order Anchor Graph-Based Clustering for Efficient Structured Proximity Matrix Learning.

Zihua Zhao, Yuyu Jia, Huimin Chen, Fangyuan Xie, Ziming Li, Rong Wang

Proceedings of the Advanced Data Mining and Applications - 21st International Conference, 2025

2024

Graph Joint Representation Clustering via Penalized Graph Contrastive Learning.

Zihua Zhao, Rong Wang, Zheng Wang, Feiping Nie, Xuelong Li

IEEE Trans. Neural Networks Learn. Syst., December, 2024

An Balanced, and Scalable Graph-Based Multiview Clustering Method.

Zihua Zhao, Feiping Nie, Rong Wang, Zheng Wang, Xuelong Li

IEEE Trans. Knowl. Data Eng., December, 2024

Probabilistic Conformal Distillation for Enhancing Missing Modality Robustness.

Mengxi Chen, Fei Zhang, Zihua Zhao, Jiangchao Yao, Ya Zhang, Yanfeng Wang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Exploring Training on Heterogeneous Data with Mixture of Low-rank Adapters.

Yuhang Zhou, Zihua Zhao, Siyuan Du, Haolin Li, Jiangchao Yao, Ya Zhang, Yanfeng Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Mitigating Noisy Correspondence by Geometrical Structure Consistency Learning.

Zihua Zhao, Mengxi Chen, Tianjie Dai, Jiangchao Yao, Bo Han, Ya Zhang, Yanfeng Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2021

Reinforcing Pretrained Models for Generating Attractive Text Advertisements.

Xiting Wang, Xinwei Gu, Jie Cao, Zihua Zhao, Yulan Yan, Bhuvan Middha, Xing Xie

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021