| 2025 | VoiceVisSystem: End-to-End Voice-driven Data Visualization Generation from Natural Language Questions. | Haodi Zhang, Xiaohui Tang, Xinhe Zhang, Jihua Zhou, Yuanfeng Song |
| 2025 | Distribution-Guided Auto-Encoder for User Multimodal Interest Cross Fusion. | Moyu Zhang, Yongxiang Tang, Yujun Jin, Jinxin Hu, Yu Zhang |
| 2025 | A Hierarchical Structure-Enhanced Personalized Recommendation Model for Traditional Chinese Medicine Formulas Based on KG Diffusion Guidance. | Chaobo Zhang, Long Tan |
| 2025 | An Robust Entity Alignment Method based on Knowledge Distillation with Noisy Aligned Pairs. | Yuhong Zhang, Hangchi Song, Xiaolong Zhu, Chenyang Bu, Kui Yu |
| 2025 | PrLM: Learning Explicit Reasoning for Personalized RAG via Contrastive Reward Optimization. | Kepu Zhang, Teng Shi, Weijie Yu, Jun Xu |
| 2025 | HRCformer: Hierarchical Recursive Convolution-Transformer with Multi-Scale Adaptive Recalibration for Time Series Forecasting. | Dejiang Zhang, Lianyong Qi, Yuwen Liu, Xucheng Zhou, Jianye Xie, Haolong Xiang, Xiaolong Xu, Xuyun Zhang, Yang Cao, Yang Zhang |
| 2025 | C-FAITH: A Chinese Fine-Grained Benchmark for Automated Hallucination Evaluation. | Xu Zhang, Zhifei Liu, Jiahao Wang, Huixuan Zhang, Fan Xu, Junzhe Zhang, Xiaojun Wan |
| 2025 | Augmenting Guest Search Results with Recommendations at Airbnb. | Haowei Zhang, Philbert Lin, Dishant Ailawadi, Soumyadip Banerjee, Shashank Dabriwal, Hao Li, Kedar Bellare, Liwei He, Sanjeev Katariya |
| 2025 | Hyperbolic Prompt Learning for Incremental Event Detection with LLMs. | Xiujin Zhang, Wenxin Jin, Haotian Hong, Pengfei Zhang, Jiting Li, Kongjing Gu, Hao Peng, Li Sun |
| 2025 | Global-Distribution Aware Scenario-Specific Variational Representation Learning Framework. | Moyu Zhang, Yujun Jin, Jinxin Hu, Yu Zhang |
| 2025 | Traffic Safety Evaluation Based on Macroscopic Traffic Features in Road Tunnels. | Yupu Zhang, Lei Jia, Hao Miao, Weizhu Qian, Yan Zhao, Kai Zheng |
| 2025 | Advancing Graph Isomorphism Tests with Metric Space Indicators: A Tool for Improving Graph Learning Tasks. | Shenghui Zhang, Pak Lon Ip, Rongqin Chen, Shunran Zhang, Leong Hou U |
| 2025 | Relation-Sensitive Visual Aggregation Enhances Multimodal Knowledge Graph Completion. | Qingyu Zhang, Min Hu, Wenlong Fei, Jiaoyun Yang, Hongbo Li |
| 2025 | SAKG: Structure-Aware Large Language Model Framework for Knowledge Graph Reasoning. | Qingyu Zhang, Min Hu, Wenlong Fei, Jiaoyun Yang, Hongbo Li |
| 2025 | Maps Ranking Optimization in Airbnb. | Hongwei Zhang, Malay Haldar, Kedar Bellare, Sherry Chen, Soumyadip Banerjee, Xiaotang Wang, Mustafa Abdool, Huiji Gao, Pavan Tapadia, Liwei He, Sanjeev Katariya, Stephanie Moyerman |
| 2025 | TopKNet: Learning to Perceive the Top-K Pivotal Nodes in Spatio-Temporal Data for Traffic Forecasting. | Weilai Zhang, Dongbin Hu |
| 2025 | LLM4CD: Leveraging Large Language Models for Open-World Knowledge Augmented Cognitive Diagnosis. | Weiming Zhang, Lingyue Fu, Qingyao Li, Kounianhua Du, Jianghao Lin, Jingwei Yu, Wei Xia, Weinan Zhang, Ruiming Tang, Yong Yu |
| 2025 | Meta-Adaptive Network for Effective Cold-Start Recommendation via Warm-Aware Representation Learning. | Ao Zhang, Boya Du, Yulin Xu, Jialin Zhu, Yuning Jiang |
| 2025 | Edge-Variational Graph Neural Networks: Harnessing Weak Ties for Enhanced Default Risk Prediction. | Feng Zhang, Jianfeng Chi, Rui Ma, Gang Chen, Rongqi Chen |
| 2025 | Billion-Scale Graph Deep Learning Framework for Ads Recommendation. | Si Zhang, Weilin Cong, Dongqi Fu, Andrey Malevich, Hao Wu, Baichuan Yuan, Xin Zhou, Kaveh Hassani, Zhigang Hua, Austin Derrow-Pinion, Yan Xie, Xuewei Wang, Yinglong Xia, Ning Yao, Vena Jia Li, Sem Park, Bo Long |
| 2025 | ECLIPSE: Efficient Cross-Lingual Log Intelligence Parser with Semantic Entropy-Enhanced LCS Algorithm. | Wei Zhang, Xianfu Cheng, Xiang Li, Jian Yang, Liying Zhang, Xiangyuan Guan, Zhoujun Li |
| 2025 | SarRec: Statistically-guaranteed Augmented Retrieval for Recommendation. | Tong Zhang, Nitin Bisht, Zihao Li, Guandong Xu, Xianzhi Wang |
| 2025 | Interpretable Meta-weighting Sparse Neural Additive Networks for Datasets with Label Noise and Class Imbalance. | Xuelin Zhang, Hong Chen, Lingjuan Wu |
| 2025 | HGAurban: Heterogeneous Graph Autoencoding for Urban Spatial-Temporal Learning. | Qianru Zhang, Xinyi Gao, Haixin Wang, Dong Huang, Siu-Ming Yiu, Hongzhi Yin |
| 2025 | SyLeR: A Framework for Explicit Syllogistic Legal Reasoning in Large Language Models. | Kepu Zhang, Weijie Yu, Zhongxiang Sun, Jun Xu |