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ORCIDBig Data Mining and Analytics, Volume 9
Volume 9, Number 1, 2026
- Joshua Zhexue Huang, Yulin He, Ponnuthurai Nagaratnam Suganthan:
Editorial: Special Issue on Recent Advances in Statistical Analytics Theories and Methods for Big Data. 1-3 - Jiaqi Chen, Yuyang Xu, Xu Li, Muhammad Azhar:
A Mode-Partitioned Gamma Mixture Model Estimation Method for Large-Scale Multimodal Data. 4-22 - Shan Dai, Anningzhe Gao, Zhuo Li, Yuhao Du:
Rotary Position Embedding-Based Transformer Hawkes Process for Event-Type Big Data. 23-38 - Yifei Shen, Wenlong Shi, Jiaxing Shen, Hengzhi Wang, Hanqing Wu, Jiannong Cao:
Multiresolution Taxi Demand Prediction: A Big Data Statistical and Zero-Inflated Spatiotemporal GNN Approach. 39-56 - Yufeng Yu, Xuanyi Chen, Jiali Luo, Yingchao Cheng, Zhifeng Hao:
Discriminative Subspace Clustering Based on Local Hyperdisk for High-Dimensional Big Data. 57-69 - Yiming Zhao, Wenjun Wang, Nannan Wu, Jilei Liu, Ying Sun, Wei Yu, Quannan Zu:
Attention-Based Anomaly Detection in Dynamic Network. 70-86 - Yahan Li, Xiaohan Zhang, Junliang Shang, Qianqian Ren, Jin-Xin Liu:
CPSORCL: A Cooperative Particle Swarm Optimization Method with Random Contrastive Learning for Interactive Feature Selection. 87-102 - Mohammad Jafar Mokarram, Arsalan Najafi, Jamshid Aghaei, Meng Yuan:
Big Data-Driven Decision Support System Framework for Sustainable Multi-Criteria Computing in Green Systems. 103-118 - Lanying Wang, Yuxuan Hu, Lin Gao:
A Comprehensive Review of Cell-Type Deconvolution in Spatial Transcriptomic Data. 119-142 - Xin Xia, Xiangxiang Zeng, Xing-yi Zhang, Chunhou Zheng, Ya-Jie Zhang, Yansen Su:
Leveraging Adaptive Evolutionary Optimization for Drug Molecular Design Involving Many Properties. 143-159 - Xiaokang Wang, Jiale Yu, Yi Lin, Biyuan Yao, Zhao Qiu, Yuefu Zhan, Jing Chen, Xu Zhang:
A Multi-Branch Dual Residual Attention CNN Model for Pediatric Pneumonia Classification. 160-177 - Guojun Li, Jincao Yao, Chanjuan Peng, Yinjie Hu, Xuhan Feng, Jianfeng Yang, Xingyu Gao, Dong Xu, Xiaolin Li, Chulin Sha, Min He:
Multimodal Nested Attention Network for Lymph Node Metastasis Prediction of Thyroid Carcinoma. 178-197 - Weiqing Li, Yue Xu, Yuefeng Li, Yinghui Huang:
Display Content, Display Methods, and Evaluation Methods of the HCI in Explainable Recommender Systems: A Survey. 198-228 - Junxiao Xue, Xiaozhen Liu, Jie Wang, Xuecheng Wu, Bin Wu:
A Trustworthy Method for Multimodal Emotion Recognition. 229-247 - Haiquan Liu, Mingcan Cen, Chong Zhang, Angela An, Shuxiang Song:
ESA-Net: An Efficient and Lightweight Model for Medical Image Segmentation. 248-262 - Yifan Li, Shuhan Qi, Lei Cui, Chao Xing, Lei Zhang, Xuan Wang:
Interpret When Possible: A Tree-Based Hybrid Framework for Interpretable Classification. 263-283 - Xiaobo Zhang, Xinaoxue Zhang, Like Wei, Wei Wang, Yan Yang:
MLFD: A Novel Meta-Learning Method with Fourier Transform Data Augmentation for Domain Generalization. 284-294 - Hailin Yue, Hulin Kuang, Jin Liu, Junjian Li, Jie Zhu, Xiaoding Zhou, Pei Yang, Qifeng Wang, Jianxin Wang:
Semi-Supervised Learning with Adaptive Pseudo-Label Selection and Correction for Predicting Overall Survival Time of Esophageal Cancer. 295-313 - Bright G. Akwaronwu, Folasade Y. Ayankoya, Shade O. Kuyoro, Innocent Uche Akwaronwu, Oluwabamise Joseph Adeniyi:
Machine Learning for Predicting Drug Resistance in Tuberculosis: A Systematic Review of Model Performance and Clinical Applications. 314-337
Volume 9, Number 2, 2026
- Editorial: Special Section on Challenges and Opportunities in Retrieval-Augmented Generation for LLMs: Techniques, Trends, and Applications. 339-340
- Meng Wang, Yisong Wang, Feifan Wu:
Numerical Constraint-Aware Dense Retrieval with Two-Phase Contrastive Learning. 341-359 - Hengbo Zhang, Yingying Wang, Xinyu Gao, Yun Xiong:
RADDI: A Retrieval Augmented Framework for Drug-Drug Interaction Prediction. 360-375 - Long Cui, Yongbin Liu, Chunping Ouyang, Ying Yu, Jiangtao Zhang, Yaping Wan, Fei Yang:
Bailicai: A Domain-Optimized Retrieval-Augmented Generation Framework for Medical Applications. 376-392 - Xing Jia, Yun Xiong, Songwen Pei, Yumeng Zhang, Cairong Yan, Zhijun Fang:
Semantic Feedback-Based RAG for Radiology Report Generation. 393-406 - Changliang Xu, Yukun Kang, Quan Feng, Jinghua Hua, Piji Li, Feiran Wu, Hu Wei, Xiang Chen, Sheng-Jun Huang, Songcan Chen:
ItemRAG: Retrieval-Augmented Generation with Item-Based Knowledge Computing for E-Commerce Product Question Answering. 407-424 - Rongfeng Zhao, Aimin Du, Mobing Cai, Zhongpan Zhu, Bin He:
Vision-Language Model-Driven Human-Vehicle Interaction for Autonomous Driving: Status, Challenge, and Innovation. 425-447 - Bowen Dong, Wenjun Wang, Xueli Liu, Yuejun Wang, Dan Yin:
GraphCon: A Parallel Graph Construction from Relational Data. 448-464 - Batuhan K. Karaman, Minh Nguyen, Heejong Kim, Mert R. Sabuncu:
A Deep Survival Model for Predicting Alzheimer's Diagnosis Based on Multi-Modal Longitudinal Data. 465-480 - Weike Liu, Cheng Zhu, Fan Wu, Lailong Luo, Zhaoyun Ding, Qingbao Liu:
CEFCIL: Comprehensive Ensemble Framework for Exemplar-Free Class Incremental Learning. 481-499 - Xuyan Du, Xinrui Ji, Li Tang, Min Li:
Benchmarking Analysis of scHi-C Data Imputation Methods. 500-518 - Lei Zhang, Qianglong Huo, Delong Li, Qisheng Yang, Ruijie Ma, Zheyu Wu, Shaowen Liao:
A Multimodal Tensor Data Fused Astragalus Slices Quality Grades Method. 519-535 - Shu Yang, Zequn Zhang, Laizhong Cui:
SAVNFV: Towards a Scalable and Accurate Inter-Domain Source Address Validation Platform with Network Functions Virtualization. 536-553 - Xiaoying Li, Jinhua Du, Yuyang Liu, Hao Yin, Hui Liu:
Towards Artificial Intelligence for Science: A Case Study of Using ChatGPT for Disease Causality Discovery from Biomedical Literature. 554-562 - Tingjia Shen, Hao Wang, Chuan Qin, Ruijun Sun, Yang Song, Defu Lian, Hengshu Zhu, Enhong Chen:
Prompting is not Enough: Exploring Knowledge Integration and Controllable Generation on Large Language Models. 563-579 - Haochen Zhao, Bowei Li, Chenliang Xie, Guihua Duan:
A Multi-Modal Feature Fusion Method Enhanced by Dynamic Sample Graphs for Predicting Drug Responses. 580-595 - Song Wang, Keao Qiao, Jindong Liang, Nianchen Hua, Rui Lu, Jidong Zhai, Jing Pei:
A Hybrid Platform for Multi-Neurons Model with Optimum Co-Design Method. 596-610 - Jibing Gong, Xiaohan Fang, Wenhai Zhu, Jiquan Peng, Lin Wang, Mengpan Chen, Jiangtao Zhang, Jie Tang:
Knit: Toward Alleviating Large Language Model Fact Knowledge Hallucinations in Knowledge Graph Completion. 611-631 - Hong Guo, Nianhui Guo, Christoph Meinel, Haojin Yang:
Leveraging Large-Scale Data for Efficient Low-Bit CUTLASS GEMM Optimization via Neural Networks. 632-652
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