Reinforcing Pretrained Models for Generating Attractive Text Advertisements. - Xiting Wang; Xinwei Gu; Jie Cao; Zihua Zhao; Yulan Yan; Bhuvan Middha; Xing Xie 001 (KDD, 2021)

Mitigating Noisy Correspondence by Geometrical Structure Consistency Learning. - Zihua Zhao; Mengxi Chen; Tianjie Dai; Jiangchao Yao; Bo Han 003; Ya Zhang 002; Yanfeng Wang 001 (CVPR, 2024)

Exploring Training on Heterogeneous Data with Mixture of Low-rank Adapters. - Yuhang Zhou; Zihua Zhao; Siyuan Du; Haolin Li; Jiangchao Yao; Ya Zhang 002; Yanfeng Wang 001 (ICML, 2024)

Probabilistic Conformal Distillation for Enhancing Missing Modality Robustness. - Mengxi Chen; Fei Zhang 016; Zihua Zhao; Jiangchao Yao; Ya Zhang 002; Yanfeng Wang 001 (NeurIPS, 2024)

An Balanced, and Scalable Graph-Based Multiview Clustering Method. - Zihua Zhao; Feiping Nie 001; Rong Wang 001; Zheng Wang 037; Xuelong Li 001 (IEEE Trans. Knowl. Data Eng., 2024)

Graph Joint Representation Clustering via Penalized Graph Contrastive Learning. - Zihua Zhao; Rong Wang 001; Zheng Wang 037; Feiping Nie 001; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Multi-modal Medical Diagnosis via Large-small Model Collaboration. - Wanyi Chen; Zihua Zhao; Jiangchao Yao; Ya Zhang 002; Jiajun Bu; Haishuai Wang (CVPR, 2025)

Consensus Graph-Based Spectral Ensemble Clustering via Low-Rank Tensor Learning. - Zhe Cao; Haonan Xin; Zihua Zhao; Jie Wang 024; Rong Wang 001 (ICASSP, 2025)

Bidirectional fusion for deep contrastive multi-view clustering. - Yongbo Yu; Jie Wang 024; Weizhong Yu; Zihua Zhao; Zongcheng Miao; Feiping Nie 001 (Expert Syst. Appl., 2025)

Multi-view clustering via high-order bipartite graph fusion. - Zihua Zhao; Ting Wang; Haonan Xin; Rong Wang 001; Feiping Nie 001 (Inf. Fusion, 2025)

Enhancing Clustering Performance With Tensorized High-Order Bipartite Graphs: A Structured Graph Learning Approach. - Zihua Zhao; Zhe Cao; Haonan Xin; Rong Wang 001; Danyang Wu; Zheng Wang 037; Feiping Nie 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning. - Zihua Zhao; Feng Hong 004; Mengxi Chen; Pengyi Chen; Benyuan Liu; Jiangchao Yao; Ya Zhang 002; Yanfeng Wang 001 (CoRR, 2025)

Innovator: Scientific Continued Pretraining with Fine-grained MoE Upcycling. - Ning Liao; Xiaoxing Wang; Zehao Lin; Weiyang Guo; Feng Hong 004; Shixiang Song; Geng Yu; Zihua Zhao; Sitao Xie; Longxuan Wei; Xiangqi Jin; Xiaohan Qin; et al. (CoRR, 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 005; Xiao Feng 003; Jiangchao Yao; Bo Han 003 (CoRR, 2025)

Graph-Based Clustering: High-Order Bipartite Graph for Proximity Learning. - Zihua Zhao; Danyang Wu; Rong Wang 001; Zheng Wang 037; Feiping Nie 001; Xuelong Li 001 (IEEE Trans. Knowl. Data Eng., 2025)

Fuzzy Clustering via Orthogonal Tensor Decomposition on High-Order Anchor Graphs. - Zihua Zhao; Xinyi Hui; Huimin Chen; Ting Wang; Rong Wang 001; Feiping Nie 001 (IEEE Trans. Fuzzy Syst., 2025)