| 2025 | Blurred Encoding for Trajectory Representation Learning. | Silin Zhou, Yao Chen, Shuo Shang, Lisi Chen, Bingsheng He, Ryosuke Shibasaki |
| 2025 | Position-Aware Neighbor Aggregation for Dynamic Link Prediction. | Yumeng Zhou, Mingzhe Liu, Leilei Sun, Yifei Huang, Liangzhe Han, Chuanren Liu, Tongyu Zhu |
| 2025 | MTM: A Multi-Scale Token Mixing Transformer for Irregular Multivariate Time Series Classification. | Shuhan Zhong, Weipeng Zhuo, Sizhe Song, Guanyao Li, Zhongyi Yu, S.-H. Gary Chan |
| 2025 | GuardFGL: Similarity-driven Federated Graph Learning with Adversarial Robustness and Membership Privacy. | Luying Zhong, Xuan Lai, Junjie Zhang, Zhiqin Huang, Zheyi Chen |
| 2025 | A Fast and Accurate Block Compression Solution for Spatiotemporal Kernel Density Visualization. | Yue Zhong, Tsz Nam Chan, Leong Hou U, Dingming Wu, Wei Tu, Ruisheng Wang, Joshua Zhexue Huang |
| 2025 | Multi-scale Physics-informed Transformer With Spatio-temporal Feature Adapter For Extreme Precipitation Nowcasting. | Jingyuan Zheng, Xin Zhang, Zhilin Qi, Ruiang Qiu, Dongjing Wang, Haiping Zhang, Dongjin Yu |
| 2025 | Enhancing Graph Contrastive Learning with Reliable and Informative Augmentation for Recommendation. | Bowen Zheng, Junjie Zhang, Hongyu Lu, Yu Chen, Ming Chen, Wayne Xin Zhao, Ji-Rong Wen |
| 2025 | Untitled record | Jingyi Zheng, Junfeng Wang, Zhen Sun, Wenhan Dong, Yule Liu, Xinlei He |
| 2025 | Revolutionizing Database Q&A with Large Language Models: Comprehensive Benchmark and Evaluation. | Yihang Zheng, Bo Li, Zhenghao Lin, Yi Luo, Xuanhe Zhou, Chen Lin, Guoliang Li, Jinsong Su |
| 2025 | Understanding Why Large Language Models Can Be Ineffective in Time Series Analysis: The Impact of Modality Alignment. | Liangwei Nathan Zheng, Chang George Dong, Wei Emma Zhang, Lin Yue, Miao Xu, Olaf Maennel, Weitong Chen |
| 2025 | Enhancing Homophily-Heterophily Separation: Relation-Aware Learning in Heterogeneous Graphs. | Ziyu Zheng, Yaming Yang, Ziyu Guan, Wei Zhao, Weigang Lu |
| 2025 | Discrepancy-Aware Graph Mask Auto-Encoder. | Ziyu Zheng, Yaming Yang, Ziyu Guan, Wei Zhao, Weigang Lu |
| 2025 | Graph Learning with Distributional Edge Layouts. | Xinjian Zhao, Chaolong Ying, Yaoyao Xu, Tianshu Yu |
| 2025 | Stable Representation Learning on Graphs from Multiple Environments with Structure Distribution Shift. | Tong Zhao, Daixin Wang, Zhiqiang Zhang, Yulin Kang, Jun Zhou |
| 2025 | Graph Contrastive Learning with Progressive Augmentations. | Yuhai Zhao, Yejiang Wang, Zhengkui Wang, Wen Shan, Miaomiao Huang, Xingwei Wang |
| 2025 | Proactive Model Adaptation Against Concept Drift for Online Time Series Forecasting. | Lifan Zhao, Yanyan Shen |
| 2025 | Offline Trajectory Optimization for Offline Reinforcement Learning. | Ziqi Zhao, Zhaochun Ren, Liu Yang, Yunsen Liang, Fajie Yuan, Pengjie Ren, Zhumin Chen, Jun Ma, Xin Xin |
| 2025 | Retrieving Intent-covering Demonstrations for Clarification Generation in Conversational Search Systems. | Ziliang Zhao, Changle Qu, Zhicheng Dou, Haonan Chen, Jiajie Jin |
| 2025 | SMA-GNN: A Symbol-Aware Graph Neural Network for Signed Link Prediction in Recommender Systems. | Yumeng Zhao, Hongxiang Lin, Shuo Wen, Junjie Shen, Bei Hua |
| 2025 | Performative Time-Series Forecasting. | Zhiyuan Zhao, Haoxin Liu, Alexander Rodrguez, B. Aditya Prakash |
| 2025 | A Survey on Model Extraction Attacks and Defenses for Large Language Models. | Kaixiang Zhao, Lincan Li, Kaize Ding, Neil Zhenqiang Gong, Yue Zhao, Yushun Dong |
| 2025 | Dynamic Structural Clustering Unleashed: Flexible Similarities, Versatile Updates and for All Parameters. | Zhuowei Zhao, Junhao Gan, Boyu Ruan, Zhifeng Bao, Jianzhong Qi, Sibo Wang |
| 2025 | 4th Workshop on End-End Customer Journey Optimization. | Hongying Zhao, Mert Bay, Zhenyu Zhao, Bradley C. Turnbull, Anbang Xu, Neha Gupta |
| 2025 | Variational Graph Autoencoder for Heterogeneous Information Networks with Missing and Inaccurate Attributes. | Yige Zhao, Jianxiang Yu, Yao Cheng, Chengcheng Yu, Yiding Liu, Xiang Li, Shuaiqiang Wang |
| 2025 | Understanding Oversmoothing in Diffusion-Based GNNs From the Perspective of Operator Semigroup Theory. | Weichen Zhao, Chenguang Wang, Xinyan Wang, Congying Han, Tiande Guo, Tianshu Yu |