| 2025 | Mitigating Spatial Disparity in Urban Prediction Using Residual-Aware Spatiotemporal Graph Neural Networks: A Chicago Case Study. | Dingyi Zhuang, Hanyong Xu, Xiaotong Guo, Yunhan Zheng, Shenhao Wang, Jinhua Zhao |
| 2025 | On the Practice of Deep Hierarchical Ensemble Network for Ad Conversion Rate Prediction. | Jinfeng Zhuang, Yinrui Li, Runze Su, Ke Xu, Zhixuan Shao, Kungang Li, Ling Leng, Han Sun, Meng Qi, Yixiong Meng, Yang Tang, Zhifang Liu, Qifei Shen, Aayush Mudgal |
| 2025 | Bridging the Gap: Teacher-Assisted Wasserstein Knowledge Distillation for Efficient Multi-Modal Recommendation. | Ziyi Zhuang, Hanwen Du, Hui Han, Youhua Li, Junchen Fu, Joemon M. Jose, Yongxin Ni |
| 2025 | Unveiling the Potential of LLMs in Simulated Society: A Knowledge-Driven LLM Agent Framework for User Modeling. | Shengmao Zhu, Bingbing Xu, Yige Yuan, Bin Xie, Yunfan Li, Huawei Shen |
| 2025 | Multimodal Graph-Based Variational Mixture of Experts Network for Zero-Shot Multimodal Information Extraction. | Baohang Zhou, Ying Zhang, Yu Zhao, Xuhui Sui, Xiaojie Yuan |
| 2025 | Dataset for Industrial Question Answering with Explanation and Scalable Ensemble Generation. | Yan Zhou, Baifan Zhou, Huajian Li, Qianhang Lyu, Yuanwei Qu, Arild Waaler, Ingrid C. Yu |
| 2025 | Refining Confusion and Ignorance in Trusted Multi-View Classification. | Xujing Zhou, Xiaodong Yue, Yufei Chen, Linye Li |
| 2025 | MIT: A Multi-Tower Information Transfer Framework Based on Hierarchical Task Relationship Modeling. | Rui Zhou, Hao Wang, Wei Guo, Qinglin Jia, Wenjia Xie, Xiang Xu, Yong Liu, Defu Lian, Enhong Chen |
| 2025 | Disentangled Knowledge Tracing for Alleviating Cognitive Bias. | Yiyun Zhou, Zheqi Lv, Shengyu Zhang, Jingyuan Chen |
| 2025 | Training-free Graph Anomaly Detection: A Simple Approach via Singular Value Decomposition. | Cheng Zhou, Guangxia Li, Hao Weng, Yiyu Xiang |
| 2025 | When Large Vision Language Models Meet Multimodal Sequential Recommendation: An Empirical Study. | Peilin Zhou, Chao Liu, Jing Ren, Xinfeng Zhou, Yueqi Xie, Meng Cao, Zhongtao Rao, You-Liang Huang, Dading Chong, Junling Liu, Jae Boum Kim, Shoujin Wang, Raymond Chi-Wing Wong, Sunghun Kim |
| 2025 | A Responsible and Extendable Context-Aware Recommender System. | Xiangmin Zhou, Lei Chen, Chengkun He, Junfeng Wu, Weiyi Zhou, Jie Shao, Yanchun Zhang |
| 2025 | From Predictions to Analyses: Rationale-Augmented Fake News Detection with Large Vision-Language Models. | Xiaofan Zheng, Zinan Zeng, Heng Wang, Yuyang Bai, Yuhan Liu, Minnan Luo |
| 2025 | Cluster Aware Graph Anomaly Detection. | Lecheng Zheng, John R. Birge, Haiyue Wu, Yifang Zhang, Jingrui He |
| 2025 | Zero-Shot Multi-View Australian Sign Language Recognition. | Zhongtian Zheng |
| 2025 | Hierarchical Sequence ID Representation of Large Language Models for Large-scale Recommendation Systems. | Rui Zhao, Rui Zhong, Haoran Zheng, Wei Yang, Chi Lu, Beihong Jin, Peng Jiang, Kun Gai |
| 2025 | Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning. | Gang Zhao, Ximing Zhang, Chenji Lu, Hui Zhao, Tianshu Wu, Pengjie Wang, Jian Xu, Bo Zheng |
| 2025 | DVIB: Towards Robust Multimodal Recommender Systems via Variational Information Bottleneck Distillation. | Wenkuan Zhao, Shanshan Zhong, Yifan Liu, Wushao Wen, Jinghui Qin, Mingfu Liang, Zhongzhan Huang |
| 2025 | Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model. | Chu Zhao, Enneng Yang, Yuliang Liang, Jianzhe Zhao, Guibing Guo, Xingwei Wang |
| 2025 | Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation. | Chu Zhao, Enneng Yang, Yuliang Liang, Pengxiang Lan, Yuting Liu, Jianzhe Zhao, Guibing Guo, Xingwei Wang |
| 2025 | USHB: A Unified Framework for Simulating Human Behaviors in Agent Society through User-and-Item Modeling: Unified Framework for Simulating Human Behaviors. | Renhuo Zhao, Hailong Yang, Mingxian Gu, Jianqi Wang, Wu Long, Zhaohong Deng |
| 2025 | AI in Healthcare for Resource Limited Settings: An Exploration and Ethical Evaluation. | Rune Chi Zhao, Xiuyuan Yuan |
| 2025 | A Hybrid Cross-Stage Coordination Pre-ranking Model for Online Recommendation Systems. | Binglei Zhao, Houying Qi, Guang Xu, Mian Ma, Xiwei Zhao, Feng Mei, Sulong Xu, Jinghe Hu |
| 2025 | Hierarchical Multi-Label Classification of Building Management System Time-Series Data. | Haokai Zhao, Jonas Macken, Leo Dinendra, Yaqing He, Ruiyuan Yang |
| 2025 | Robust Deep Signed Graph Clustering via Weak Balance Theory. | Peiyao Zhao, Xin Li, Zeyu Zhang, Mingzhong Wang, Xueying Zhu, Lejian Liao |