| 2025 | Enhancing Cross-Lingual Dialogue Summarization Through Interpretable Chain-of-Thought. | Zhongtian Bao, Yao Zhang, Jun Wang, Adam Jatowt, Zhenglu Yang |
| 2025 | STREAM: A Framework for Sequence Data Analysis, Modeling, and Anomaly Alerts. | Wan D. Bae, Shayma Alkobaisi, Pavleen Kaur |
| 2025 | Dynamic Group Nearest Neighbor Group Query over Streaming Data. | Yunzhe An, Sainan Tong, Qian Wang, Rui Zhu, Anzhen Zhang, Chuanyu Zong, Hong Jiang, Bin Wang |
| 2024 | CIKT: Causality Inspired Knowledge Tracing. | Shuaishuai Zu, Li Li, Songtao Cai, Jun Shen |
| 2024 | Subgraph Patterns Enhanced Graph Neural Network for Fraud Detection. | Yao Zou, Sheng Xiang, Qijun Miao, Dawei Cheng, Changjun Jiang |
| 2024 | Multiple Continuous Outlier Detection over Data Stream. | Rui Zhu, Meiyu Guo, Anzhen Zhang, Tao Qiu, Chuanyu Zong, Jiajia Li, Hong Jiang, Bin Wang |
| 2024 | Few-Shot Log Analysis with Prompt-Based Multi-task Transfer Learning. | Mingjie Zhou, Weidong Yang, Lipeng Ma, Sihang Jiang, Bo Xu, Yanghua Xiao |
| 2024 | VFDV-IM: An Efficient and Securely Vertical Federated Data Valuation. | Xiaokai Zhou, Xiao Yan, Xinyan Li, Hao Huang, Quanqing Xu, Qinbo Zhang, Yen Jerome, Zhaohui Cai, Jiawei Jiang |
| 2024 | A Novel Multi-Task driven Model for Personalized Paper Recommendations. | Jingya Zhou, Jie Wang |
| 2024 | Event Time Prediction via Survival Analysis Based Multivariate Transformer Point Process. | Yan Zhou, Xiaodong Li |
| 2024 | FedDGCL: Federated Graph Neural Network with Dual Graph Contrast Learning for Multivariable Time Series Forecasting. | Ye Zhou, Yu Guo, Fangda Guo, Fangming Jing, Jiangrong Yang, Rongfang Bie |
| 2024 | Score Network with Adaptive Augmentation Aggregator for Multivariate Time Series Representation Contrastive Learning. | Guichun Zhou, Yijiang Chen, Xiangdong Zhou |
| 2024 | MANE: A Multi-cascade Adversarial Network Embedding Model for Anchor Link Prediction. | Jingya Zhou |
| 2024 | Chimera Model of Candidate Soups for Non-Autoregressive Translation. | Huanran Zheng, Wei Zhu, Xiaoling Wang |
| 2024 | Inductive Spatial Temporal Prediction Under Data Drift with Informative Graph Neural Network. | Jialun Zheng, Divya Saxena, Jiannong Cao, Hanchen Yang, Penghui Ruan |
| 2024 | Higher-Order Graph Contrastive Learning for Recommendation. | ZhenZhong Zheng, Jianxin Li, Xiaoming Wu, Xiangzhi Liu, Lili Pei |
| 2024 | Reducing Interaction Noise for Sequential Recommendation via Robust Interests. | Yiyuan Zheng, Beihong Jin, Beibei Li, Weijiang Lai, Tao Xiang |
| 2024 | Enhancing Privacy of Spatiotemporal Federated Learning Against Gradient Inversion Attacks. | Lele Zheng, Yang Cao, Renhe Jiang, Kenjiro Taura, Yulong Shen, Sheng Li, Masatoshi Yoshikawa |
| 2024 | STMGF: An Effective Spatial-Temporal Multi-granularity Framework for Traffic Forecasting. | Zhengyang Zhao, Haitao Yuan, Nan Jiang, Minxiao Chen, Ning Liu, Zengxiang Li |
| 2024 | Multi-objective Graph Neural Network Explanatory Model with Local and Global Information Preservation. | Yibowen Zhao, Yonghui Xu, Yixin Zhang, Wei He, Lizhen Cui |
| 2024 | StockCL: Selective Contrastive Learning for Stock Trend Forecasting via Learnable Concepts. | Zexi Zhang, Lifan Zhao, Yanyan Shen, Bin Yao |
| 2024 | Spatio-Temporal Aware Next Point-of-Interest Recommendation with Privacy Preserving. | Guoming Zhang, Xuyun Zhang, Lianyong Qi, Xiaolong Xu, Man Li, Wanchun Dou |
| 2024 | astPSL: Similarity Learning System Based on Structured and Unstructured Records. | Jie Zhang, Wenxin Zhang, Mengfei Kang, Xin Zhang, Lei Zhu, Xinhong Hei |
| 2024 | SmartInsight: Learning-Based Automatic Insight Discovery for Exploratory Data Analysis. | Hanbing Zhang, Wei Zhang, Yinan Jing, Zhenying He, Kai Zhang, Shiwei Shi, X. Sean Wang |
| 2024 | SBEVP: Ship Behavior and Encounter Scenario Visualization Platform. | Yongchang Zhang, Rui Zhang, Wenhu Huang, Xiaolie Wu, Weiqiang Wang |