A Multifractal-Guided Multilevel Surrogate Model-Based Evolutionary Algorithm for Expensive Multiobjective Problems. - Dongmei Zhang 006; Jianping Liao; Xiaohui Huang 002; Jiaqi Jin (J. Circuits Syst. Comput., 2017)

A Geohash Based Place2vec Model. - Jiaqi Jin; Zhuojian Xiao; Qiang Qiu 003; Jinyun Fang (IGARSS, 2019)

Session-based Recommendation with Hierarchical Leaping Networks. - Cheng Guo; Mengfei Zhang; Jinyun Fang; Jiaqi Jin; Mao Pan (SIGIR, 2020)

Sequential Recommendation with Context-Aware Collaborative Graph Attention Networks. - Mengfei Zhang; Cheng Guo; Jiaqi Jin; Mao Pan; Jinyun Fang (IJCNN, 2021)

Modeling Hierarchical Intents and Selective Current Interest for Session-Based Recommendation. - Mengfei Zhang; Cheng Guo; Jiaqi Jin; Mao Pan; Jinyun Fang (PAKDD (2), 2021)

m6A regulator-mediated methylation modification patterns and characteristics of immunity and stemness in low-grade glioma. - Jianyang Du; Hang Ji; Shuai Ma; Jiaqi Jin; Shan Mi; Kuiyuan Hou; Jiawei Dong; Fang Wang; Chaochao Zhang; Yuan Li; Shaoshan Hu (Briefings Bioinform., 2021)

DynGCF: Augmenting Inactive Users and Items in Dynamic Graph-based Collaborative Filtering. - Jiaqi Jin; Mengfei Zhang; Mao Pan; Jinyun Fang (IJCNN, 2022)

Align then Fusion: Generalized Large-scale Multi-view Clustering with Anchor Matching Correspondences. - Siwei Wang 001; Xinwang Liu 002; Suyuan Liu; Jiaqi Jin; Wenxuan Tu; Xinzhong Zhu; En Zhu (NeurIPS, 2022)

Asymptotically Unbiased Estimation for Delayed Feedback Modeling via Label Correction. - Yu Chen; Jiaqi Jin; Hui Zhao; Pengjie Wang 002; Guojun Liu; Jian Xu 015; Bo Zheng 007 (WWW, 2022)

Deep Incomplete Multi-View Clustering with Cross-View Partial Sample and Prototype Alignment. - Jiaqi Jin; Siwei Wang 001; Zhibin Dong; Xinwang Liu 002; En Zhu (CVPR, 2023)

Hybrid Reconfigurable Intelligent Surface Assisted Over-the-Air Federated Learning. - Jiaqi Jin; Zhibin Wang 003; Liantao Wu; Yong Zhou 006 (ICC Workshops, 2023)

Cross-view Topology Based Consistent and Complementary Information for Deep Multi-view Clustering. - Zhibin Dong; Siwei Wang 001; Jiaqi Jin; Xinwang Liu 002; En Zhu (ICCV, 2023)

DealMVC: Dual Contrastive Calibration for Multi-view Clustering. - Xihong Yang; Jiaqi Jin; Siwei Wang 001; Ke Liang 006; Yue Liu 008; Yi Wen 001; Suyuan Liu; Sihang Zhou 001; Xinwang Liu 002; En Zhu (ACM Multimedia, 2023)

A Hybrid Algorithm for Dust Aerosol Detection: Integrating Forward Radiative Transfer Simulations and Machine Learning. - Jiaqi Jin; Feng Zhang 041; Wenwen Li; Qiong Wu; Linlu Mei; Lin Chen 017 (IEEE Trans. Geosci. Remote. Sens., 2023)

Detecting Insulator Strings as Linked Chain Structure in Smart Grid Inspection. - Ning Wei; Xiangyang Li; Jiaqi Jin; Peng Chen; Shuifa Sun (IEEE Trans. Ind. Informatics, 2023)

View Gap Matters: Cross-view Topology and Information Decoupling for Multi-view Clustering. - Fangdi Wang; Jiaqi Jin; Zhibin Dong; Xihong Yang; Yu Feng; Xinwang Liu 002; Xinzhong Zhu; Siwei Wang 001; Tianrui Liu 001; En Zhu (ACM Multimedia, 2024)

Evaluate then Cooperate: Shapley-based View Cooperation Enhancement for Multi-view Clustering. - Fangdi Wang; Jiaqi Jin; Jingtao Hu; Suyuan Liu; Xihong Yang; Siwei Wang 001; Xinwang Liu 002; En Zhu (NeurIPS, 2024)

HDUD-Net: heterogeneous decoupling unsupervised dehaze network. - Jiafeng Li; Lingyan Kuang; Jiaqi Jin; Li Zhuo 001; Jing Zhang 023 (Neural Comput. Appl., 2024)

Iterative Deep Structural Graph Contrast Clustering for Multiview Raw Data. - Zhibin Dong; Jiaqi Jin; Yuyang Xiao; Siwei Wang 001; Xinzhong Zhu; Xinwang Liu 002; En Zhu (IEEE Trans. Neural Networks Learn. Syst., 2024)

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning. - Yuzhuo Dai; Jiaqi Jin; Zhibin Dong; Siwei Wang 001; Xinwang Liu 002; En Zhu; Xihong Yang; Xinbiao Gan; Yu Feng (CVPR, 2025)

Enhanced then Progressive Fusion with View Graph for Multi-View Clustering. - Zhibin Dong; Meng Liu 014; Siwei Wang 001; Ke Liang 006; Yi Zhang 104; Suyuan Liu; Jiaqi Jin; Xinwang Liu 002; En Zhu (CVPR, 2025)

Selective Cross-View Topology for Deep Incomplete Multi-View Clustering. - Zhibin Dong; Dayu Hu; Jiaqi Jin; Siwei Wang 001; Xinwang Liu 002; En Zhu (IEEE Trans. Image Process., 2025)

Subgraph Propagation and Contrastive Calibration for Incomplete Multiview Data Clustering. - Zhibin Dong; Jiaqi Jin; Yuyang Xiao; Bin Xiao 002; Siwei Wang 001; Xinwang Liu 002; En Zhu (IEEE Trans. Neural Networks Learn. Syst., 2025)

Deep Incomplete Multi-view Clustering with Distribution Dual-Consistency Recovery Guidance. - Jiaqi Jin; Siwei Wang 001; Zhibin Dong; Xihong Yang; Xinwang Liu 002; En Zhu; Kunlun He (CoRR, 2025)

Automatically Identify and Rectify: Robust Deep Contrastive Multi-view Clustering in Noisy Scenarios. - Xihong Yang; Siwei Wang 001; Fangdi Wang; Jiaqi Jin; Suyuan Liu; Yue Liu 008; En Zhu; Xinwang Liu 002; Yueming Jin (CoRR, 2025)