| 2024 | EBCPL: A Novel Evidence-Based Method for Concept Prerequisite Relation Learning. | Jiayu Zhang, Xiaoyan Zhang, Xiaofeng Du, Tianbo Lu |
| 2024 | Distributed Meta-learning for Large-Scale Multi-institution Credit Default Risk Prediction. | Yue Zhang, Xinxing Yang, Feng Zhu, Longfei Li, Linbo Jiang, Jun Zhou |
| 2024 | RecGPT. | Yabin Zhang, Wenhui Yu, Erhan Zhang, Xu Chen, Lantao Hu, Peng Jiang, Kun Gai |
| 2024 | RoNID: New Intent Discovery with Generated-Reliable Labels and Cluster-friendly Representations. | Shun Zhang, Chaoran Yan, Jian Yang, Changyu Ren, Jiaqi Bai, Tongliang Li, Zhoujun Li |
| 2024 | Hyperbolic Adversarial Learning for Personalized Item Recommendation. | Aoran Zhang, Yonghong Yu, Gongyou Xu, Rong Gao, Li Zhang, Shang Gao, Hongzhi Yin |
| 2024 | Key Substructure Learning with Chemical Intuition for Material Property Prediction. | Peiliang Zhang, Jingling Yuan, Lin Li, Wen Luo, Jiwei Hu, Xin Li |
| 2024 | TreeCSS: An Efficient Framework for Vertical Federated Learning. | Qinbo Zhang, Xiao Yan, Yukai Ding, Quanqing Xu, Chuang Hu, Xiaokai Zhou, Jiawei Jiang |
| 2024 | HyBuffer: A Distributed Hybrid Shared Buffer for Multi-master Databases. | Rongrong Zhang, Zhiwei Ye, Peng Cai, Xuan Zhou, Aoying Zhou, Dunbo Cai, Ling Qian |
| 2024 | A Unified Framework for Adaptive Representation Enhancement and Inversed Learning in Cross-Domain Recommendation. | Luankang Zhang, Hao Wang, Suojuan Zhang, Mingjia Yin, Yongqiang Han, Jiaqing Zhang, Defu Lian, Enhong Chen |
| 2024 | Emotional Polarity Attention Mechanism for Text Sentiment Analysis. | Junwei Zhang, Tianheng Wang, Chenyang Wang, Yude Bai, Yupeng Zhang, Yantao Li |
| 2024 | M2Mol: Multi-view Multi-granularity Molecular Representation Learning for Property Prediction. | Ran Zhang, Xuezhi Wang, Kunpeng Liu, Yuanchun Zhou, Pengfei Wang |
| 2024 | TransPocket: Structural and Geometric Transformer for Ligand Binding Site Detection. | Yang Zhang, Zhewei Wei, Wenbing Huang, Chongxuan Li |
| 2024 | HierAffinity: Predicting Protein-Ligand Binding Affinity With Hierarchical Modeling. | Yang Zhang, Zhewei Wei, Wenbing Huang, Chongxuan Li |
| 2024 | OblivChain: Enabling Oblivious Queries for Blockchain Light Clients with Malicious Security. | Yifang Zhang, Mingyue Wang, Fangda Guo, Xidi Qu, Yu Guo, Shengling Wang |
| 2024 | Alleviating Dimensional Collapse Problem in Deep Recommender Models by Designing Uniformity Layers. | Yabin Zhang, Jiakai Tang, Xu Chen |
| 2024 | CGCL: Collaborative Graph Contrastive Learning Without Handcrafted Graph Data Augmentations. | Tianyu Zhang, Yuxiang Ren, Wenzheng Feng, Weitao Du, Xuecang Zhang |
| 2024 | Shapley-Optimized Reinforcement Learning for Human-Machine Collaboration Policy. | Jie Zhang, Yiqun Niu, Wei He, Cheng Jin, Chongjun Wang |
| 2024 | DEE: Dual-Stage Explainable Evaluation Method for Text Generation. | Shenyu Zhang, Yu Li, Rui Wu, Xiutian Huang, Yongrui Chen, Wenhao Xu, Guilin Qi |
| 2024 | Bilingual Multimodal Graph Modeling for Text-Image Relation Inference. | Dong Zhang, Wenjie Lu, Shoushan Li, Guodong Zhou |
| 2024 | Privacy Protection Bottom-up Hierarchical Federated Learning with Class Imbalanced Data. | Jing Zhang, Siqi Li, Jiajia Li, Xiufeng Xia, Yiping Teng, Anzhen Zhang |
| 2024 | Enhancing Load Forecasting with VAE-GAN-Based Data Cleaning for Electric Vehicle Charging Loads. | Wensi Zhang, Shuya Lei, Yuqing Jiang, Tiechui Yao, Yishen Wang, Zhiqing Sun |
| 2024 | DeepMIN: Deep Multi-modal Interest Network with Cognitive Learning Modules. | Zhaoxiang Zhang, Zhiheng Li, Jipeng Jin, Xiaofeng Gao, Xiongwen Yang, Bo Zhang, Lei Xiao |
| 2024 | BiasRec: A General Bias-Aware Social Recommendation Model. | Chunkai Zhang, Guoqing Li |
| 2024 | Multi-class Imbalanced Data Classification by Deep Multi-set Discriminant Metric Learning with Optimal Balance Sampling. | Xinyu Zhang, Xiao-Yuan Jing, Xiaocui Li, Jiagang Liu |
| 2024 | Flight Planning at Scale: A Bipartite Matching Based Approach. | Tianlong Zhang, Chang Gao, Yuxiang Zeng, Shuyuan Li, Yi Xu, Yuanyuan Zhang |