| 2024 | Adaptive Cross-platform Transportation Time Prediction for Logistics. | Shuxin Zhong, Wenjun Lyu, Zhiqing Hong, Guang Yang, Weijian Zuo, Haotian Wang, Guang Wang, Yu Yang, Desheng Zhang |
| 2024 | A Behavior-aware Cause Identification Framework for Order Cancellation in Logistics Service. | Shuxin Zhong, Yahan Gu, Wenjun Lyu, Hongyu Lin, Guang Yang, Yao Lu, Guang Wang, Yu Yang, Desheng Zhang |
| 2024 | AdaTrans: Adaptive Transfer Time Prediction for Multi-modal Transportation Modes. | Shuxin Zhong, Hua Wei, Wenjun Lyu, Guang Yang, Zhiqing Hong, Guang Wang, Yu Yang, Desheng Zhang |
| 2024 | AdaTM: Fine-grained Urban Flow Inference with Adaptive Knowledge Transfer across Multiple Cities. | Yuhao Zheng, Jinyang Wu, Zihao Cai, Senzhang Wang, Jianxin Wang |
| 2024 | Irregularity-Informed Time Series Analysis: Adaptive Modelling of Spatial and Temporal Dynamics. | Liangwei Nathan Zheng, Zhengyang Li, Chang George Dong, Wei Emma Zhang, Lin Yue, Miao Xu, Olaf Maennel, Weitong Chen |
| 2024 | Devil in the Tail: A Multi-Modal Framework for Drug-Drug Interaction Prediction in Long Tail Distinction. | Liangwei Nathan Zheng, Chang George Dong, Wei Emma Zhang, Xin Chen, Lin Yue, Weitong Chen |
| 2024 | FGITrans: Cross-City Transformer for Fine-grained Urban Flow Inference. | Yuhao Zheng, Yishuo Cai, Zihao Cai, Changjun Fan, Senzhang Wang, Jianxin Wang |
| 2024 | M | Zhiwei Zha, Jiaan Wang, Zhixu Li, Xiangru Zhu, Wei Song, Yanghua Xiao |
| 2024 | Scaling Vison-Language Foundation Model to 12 Billion Parameters in Baidu Dynamic Image Advertising. | Xinyu Zhao, Kang Zhao, Zhipeng Jin, Yi Yang, Wen Tao, Xiaodong Chen, Cong Han, Shuanglong Li, Lin Liu |
| 2024 | Correcting Biases of Shapley Value Attributions for Informative Machine Learning Model Explanations. | Ningsheng Zhao, Jia Yuan Yu, Trang Bui, Krzysztof Dzieciolowski |
| 2024 | ECRT: Flexible Sequence Enhancement Framework for Cross-Domain Information Reuse in Recommendation. | Weiqiang Zhao, Zi-Yuan Wu, Yatao Yang, Lifeng Hua, Hao Xiong |
| 2024 | Confidence-Aware Multi-Field Model Calibration. | Yuang Zhao, Chuhan Wu, Qinglin Jia, Hong Zhu, Jia Yan, Libin Zong, Linxuan Zhang, Zhenhua Dong, Muyu Zhang |
| 2024 | Zero-shot Knowledge Graph Question Generation via Multi-agent LLMs and Small Models Synthesis. | Runhao Zhao, Jiuyang Tang, Weixin Zeng, Ziyang Chen, Xiang Zhao |
| 2024 | Towards Coarse-grained Visual Language Navigation Task Planning Enhanced by Event Knowledge Graph. | Kaichen Zhao, Yaoxian Song, Haiquan Zhao, Haoyu Liu, Tiefeng Li, Zhixu Li |
| 2024 | Aligning Explanations for Recommendation with Rating and Feature via Maximizing Mutual Information. | Yurou Zhao, Yiding Sun, Ruidong Han, Fei Jiang, Lu Guan, Xiang Li, Wei Lin, Weizhi Ma, Jiaxin Mao |
| 2024 | Multi-Task Modeling of Student Knowledge and Behavior. | Siqian Zhao, Sherry Sahebi |
| 2024 | Breaking the Barrier: Utilizing Large Language Models for Industrial Recommendation Systems through an Inferential Knowledge Graph. | Qian Zhao, Hao Qian, Ziqi Liu, Gong-Duo Zhang, Lihong Gu |
| 2024 | NeutronCache: An Efficient Cache-Enhanced Distributed Graph Neural Network Training System. | Chu Zhao, Shengjie Dong, Yuhai Zhao, Yuan Li |
| 2024 | Generating Intent-aware Clarifying Questions in Conversational Information Retrieval Systems. | Ziliang Zhao, Zhicheng Dou, Yujia Zhou |
| 2024 | HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling with Self-Distillation for Long-Term Forecasting. | Shubao Zhao, Ming Jin, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Qingsong Wen, Yi Wang |
| 2024 | Multi-modal Food Recommendation with Health-aware Knowledge Distillation. | Yixin Zhang, Xin Zhou, Fanglin Zhu, Ning Liu, Wei Guo, Yonghui Xu, Zhiqi Shen, Lizhen Cui |
| 2024 | Language Models-enhanced Semantic Topology Representation Learning For Temporal Knowledge Graph Extrapolation. | Tianli Zhang, Tongya Zheng, Zhenbang Xiao, Zulong Chen, Liangyue Li, Zunlei Feng, Dongxiang Zhang, Mingli Song |
| 2024 | Preference Prototype-Aware Learning for Universal Cross-Domain Recommendation. | Yuxi Zhang, Ji Zhang, Feiyang Xu, Lvying Chen, Bohan Li, Lei Guo, Hongzhi Yin |
| 2024 | M3: A Multi-Image Multi-Modal Entity Alignment Dataset. | Shiqi Zhang, Weixin Zeng, Zhen Tan, Xiang Zhao, Weidong Xiao |
| 2024 | Advancing Multivariate Time Series Anomaly Detection: A Comprehensive Benchmark with Real-World Data from Alibaba Cloud. | Chaoli Zhang, Yingying Zhang, Lanshu Peng, Qingsong Wen, Yiyuan Yang, Chong-Jiong Fan, Minqi Jiang, Lunting Fan, Liang Sun |