Zihua Zhao

25 papers A* 5Misc 1Journal 18Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
A new hyperchaotic image encryption scheme based on DNA computing and SHA-512.
Int. J. Sens. Networks
Shuliang Sun, Xiping Wang, Zihua Zhao
2026 J jnl
Dual-granularity Sinkhorn Distillation for Enhanced Learning from Long-Tailed Noisy Data.
Mach. Learn.
Feng Hong, Yu Huang, Zihua Zhao, Zhihan Zhou, Jiangchao Yao, Dongsheng Li, Ya Zhang, Yanfeng Wang
2026 J jnl
Multi-view clustering via contrastive approach.
Signal Process.
Bo Yan, Haonan Xin, Zihua Zhao, Jiacong Xiao, Rong Wang
2026 J jnl
Privileged information assisted learning from noisy correspondence.
Neurocomputing
Zihua Zhao, Tianjie Dai, Mengxi Chen, Jiangchao Yao, Bo Han, Ya Zhang, Yanfeng Wang
2026 J jnl
Self-paced and structured graph-based ensemble clustering.
Signal Process.
Haoliang Tang, Xuan Zheng, Yihang Lu, Zihua Zhao, Rong Wang, Feiping Nie
2025 J jnl
Bidirectional fusion for deep contrastive multi-view clustering.
Expert Syst. Appl.
Yongbo Yu, Jie Wang, Weizhong Yu, Zihua Zhao, Zongcheng Miao, Feiping Nie
2025 J jnl
Co-Reward: Self-supervised Reinforcement Learning for Large Language Model Reasoning via Contrastive Agreement.
CoRR
Zizhuo Zhang, Jianing Zhu, Xinmu Ge, Zihua Zhao, Zhanke Zhou, Xuan Li, Xiao Feng, Jiangchao Yao, Bo Han
2025 Misc conf
Consensus Graph-Based Spectral Ensemble Clustering via Low-Rank Tensor Learning.
ICASSP
Zhe Cao, Haonan Xin, Zihua Zhao, Jie Wang, Rong Wang
2025 J jnl
Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning.
CoRR
Zihua Zhao, Feng Hong, Mengxi Chen, Pengyi Chen, Benyuan Liu, Jiangchao Yao, Ya Zhang, Yanfeng Wang
2025 J jnl
Dual-granularity Sinkhorn Distillation for Enhanced Learning from Long-tailed Noisy Data.
CoRR
Feng Hong, Yu Huang, Zihua Zhao, Zhihan Zhou, Jiangchao Yao, Dongsheng Li, Ya Zhang, Yanfeng Wang
2025 J jnl
Enhancing Clustering Performance With Tensorized High-Order Bipartite Graphs: A Structured Graph Learning Approach.
IEEE Trans. Circuits Syst. Video Technol.
Zihua Zhao, Zhe Cao, Haonan Xin, Rong Wang, Danyang Wu, Zheng Wang, Feiping Nie
2025 J jnl
Fuzzy Clustering via Orthogonal Tensor Decomposition on High-Order Anchor Graphs.
IEEE Trans. Fuzzy Syst.
Zihua Zhao, Xinyi Hui, Huimin Chen, Ting Wang, Rong Wang, Feiping Nie
2025 J jnl
Graph-Based Clustering: High-Order Bipartite Graph for Proximity Learning.
IEEE Trans. Knowl. Data Eng.
Zihua Zhao, Danyang Wu, Rong Wang, Zheng Wang, Feiping Nie, Xuelong Li
2025 — conf
High-Order Anchor Graph-Based Clustering for Efficient Structured Proximity Matrix Learning.
ADMA (4)
Zihua Zhao, Yuyu Jia, Huimin Chen, Fangyuan Xie, Ziming Li, Rong Wang
2025 J jnl
Innovator: Scientific Continued Pretraining with Fine-grained MoE Upcycling.
CoRR
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
2025 A* conf
Multi-modal Medical Diagnosis via Large-small Model Collaboration.
CVPR
Wanyi Chen, Zihua Zhao, Jiangchao Yao, Ya Zhang, Jiajun Bu, Haishuai Wang
2025 J jnl
Multi-view clustering via high-order bipartite graph fusion.
Inf. Fusion
Zihua Zhao, Ting Wang, Haonan Xin, Rong Wang, Feiping Nie
2024 J jnl
An Balanced, and Scalable Graph-Based Multiview Clustering Method.
IEEE Trans. Knowl. Data Eng.
Zihua Zhao, Feiping Nie, Rong Wang, Zheng Wang, Xuelong Li
2024 A* conf
Exploring Training on Heterogeneous Data with Mixture of Low-rank Adapters.
ICML
Yuhang Zhou, Zihua Zhao, Siyuan Du, Haolin Li, Jiangchao Yao, Ya Zhang, Yanfeng Wang
2024 J jnl
Exploring Training on Heterogeneous Data with Mixture of Low-rank Adapters.
CoRR
Yuhang Zhou, Zihua Zhao, Haolin Li, Siyuan Du, Jiangchao Yao, Ya Zhang, Yanfeng Wang
2024 J jnl
Graph Joint Representation Clustering via Penalized Graph Contrastive Learning.
IEEE Trans. Neural Networks Learn. Syst.
Zihua Zhao, Rong Wang, Zheng Wang, Feiping Nie, Xuelong Li
2024 A* conf
Mitigating Noisy Correspondence by Geometrical Structure Consistency Learning.
CVPR
Zihua Zhao, Mengxi Chen, Tianjie Dai, Jiangchao Yao, Bo Han, Ya Zhang, Yanfeng Wang
2024 J jnl
Mitigating Noisy Correspondence by Geometrical Structure Consistency Learning.
CoRR
Zihua Zhao, Mengxi Chen, Tianjie Dai, Jiangchao Yao, Bo Han, Ya Zhang, Yanfeng Wang
2024 A* conf
Probabilistic Conformal Distillation for Enhancing Missing Modality Robustness.
NeurIPS
Mengxi Chen, Fei Zhang, Zihua Zhao, Jiangchao Yao, Ya Zhang, Yanfeng Wang
2021 A* conf
Reinforcing Pretrained Models for Generating Attractive Text Advertisements.
KDD
Xiting Wang, Xinwei Gu, Jie Cao, Zihua Zhao, Yulan Yan, Bhuvan Middha, Xing Xie