| 2025 | BGM: Demand Prediction for Expanding Bike-Sharing Systems with Dynamic Graph Modeling. | Yixuan Zhao, Hongkai Wen, Xingchen Zhang, Man Luo |
| 2025 | Generate or Re-Weight? A Mutual-Guidance Method for Class-Imbalanced Graphs. | Zhongying Zhao, Gen Liu, Qi Meng, Chao Li, Qingtian Zeng |
| 2025 | PerfSeer: An Efficient and Accurate Deep Learning Models Performance Predictor. | Xinlong Zhao, Jiande Sun, Jia Zhang, Tong Liu, Ke Liu |
| 2025 | An End-to-End Simple Clustering Hierarchical Pooling Operation for Graph Learning Based on Top-K Node Selection. | Zhehan Zhao, Lu Bai, Ming Li, Lixin Cui, Hangyuan Du, Yue Wang, Edwin R. Hancock |
| 2025 | CoderAgent: Simulating Student Behavior for Personalized Programming Learning with Large Language Models. | Yi Zhan, Qi Liu, Weibo Gao, Zheng Zhang, Tianfu Wang, Shuanghong Shen, Junyu Lu, Zhenya Huang |
| 2025 | HyperTrans: Efficient Hypergraph-Driven Cross-Domain Pattern Transfer in Image Anomaly Detection. | Tengyu Zhang, Deyu Zeng, Baoqiang Li, Wei Wang, Wei Liu, Zongze Wu |
| 2025 | D3: Diversity, Difficulty, and Dependability-Aware Data Selection for Sample-Efficient LLM Instruction Tuning. | Jia Zhang, Chen-Xi Zhang, Yao Liu, Yi-Xuan Jin, Xiao-Wen Yang, Bo Zheng, Yi Liu, Lan-Zhe Guo |
| 2025 | Category-aware EEG Image Generation Based on Wavelet Transform and Contrast Semantic Loss. | Enshang Zhang, Zhicheng Zhang, Takashi Hanakawa |
| 2025 | Deduction with Induction: Combining Knowledge Discovery and Reasoning for Interpretable Deep Reinforcement Learning. | Haodi Zhang, Xiangyu Zeng, Junyang Chen, Yuanfeng Song, Rui Mao, Fangzhen Lin |
| 2025 | Token-Level Accept or Reject: A Micro Alignment Approach for Large Language Models. | Yang Zhang, Yu Yu, Bo Tang, Yu Zhu, Chuxiong Sun, Wenqiang Wei, Jie Hu, Zipeng Xie, Zhiyu Li, Feiyu Xiong, Edward Chung |
| 2025 | Multimodal Inverse Attention Network with Intrinsic Discriminant Feature Exploitation for Fake News Detection. | Tianlin Zhang, En Yu, Yi Shao, Jiande Sun |
| 2025 | Subgraph Information Bottleneck with Causal Dependency for Stable Molecular Relational Learning. | Peiliang Zhang, Jingling Yuan, Chao Che, Yongjun Zhu, Lin Li |
| 2025 | G3PT: Unleash the Power of Autoregressive Modeling in 3D Generation via Cross-Scale Querying Transformer. | Jinzhi Zhang, Feng Xiong, Guangyu Wang, Mu Xu |
| 2025 | EDGE: Efficient Data Selection for LLM Agents via Guideline Effectiveness. | Yunxiao Zhang, Guanming Xiong, Haochen Li, Wen Zhao |
| 2025 | Rethinking Removal Attack and Fingerprinting Defense for Model Intellectual Property Protection: A Frequency Perspective. | Cheng Zhang, Yang Xu, Tingqiao Huang, Zixing Zhang |
| 2025 | MEGAD: A Memory-Efficient Framework for Large-Scale Attributed Graph Anomaly Detection. | Yifan Zhang, Haolong Xiang, Xiaolong Xu, Zishun Rui, Xiaoyong Li, Lianyong Qi, Fei Dai |
| 2025 | SSPNet: Leveraging Robust Medication Recommendation with History and Knowledge. | Haodi Zhang, Jiawei Wen, Jiahong Li, Yuanfeng Song, Liang-Jie Zhang, Lin Ma |
| 2025 | Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly. | Ruiyuan Zhang, Qi Wang, Jiaxiang Liu, Yuchi Huo, Chao Wu |
| 2025 | Towards Comprehensive and Prerequisite-Free Explainer for Graph Neural Networks. | Han Zhang, Yan Wang, Guanfeng Liu, Pengfei Ding, Huaxiong Wang, Kwok-Yan Lam |
| 2025 | DGCPL: Dual Graph Distillation for Concept Prerequisite Relation Learning. | Miao Zhang, Jiawei Wang, Jinying Han, Kui Xiao, Zhifei Li, Yan Zhang, Hao Chen, Shihui Wang |
| 2025 | CSF-GAN: Cross-modal Semantic Fusion-based Generative Adversarial Network for Text-guided Image Inpainting. | Shilin Zhang, Suixue Wang, Qingchen Zhang, Liang Zhao, Weiliang Huo, Sijia Hou, Chunjiang Fu |
| 2025 | Graph OOD Detection via Plug-and-Play Energy-based Evaluation and Propagation. | Yunxia Zhang, Mingchen Sun, Yutong Zhang, Funing Yang, Ying Wang |
| 2025 | Optimized View and Geometry Distillation from Multi-view Diffuser. | Youjia Zhang, Zikai Song, Junqing Yu, Yawei Luo, Wei Yang |
| 2025 | Detecting Hallucination in Large Language Models Through Deep Internal Representation Analysis. | Luan Zhang, Dandan Song, Zhijing Wu, Yuhang Tian, Changzhi Zhou, Jing Xu, Ziyi Yang, Shuhao Zhang |
| 2025 | Aligning Contrastive Multiple Clusterings with User Interests. | Shan Zhang, Liangrui Ren, Jun Wang, Yanyu Xu, Carlotta Domeniconi, Guoxian Yu |