| 2025 | Customized Retrieval-Augmented Generation with LLM for Debiasing Recommendation Unlearning. | Haichao Zhang, Chong Zhang, Peiyu Hu, Shi Qiu, Jia Wang |
| 2025 | Bridging Modality Gaps in e-Commerce Products via Vision-Language Alignment. | Yipeng Zhang, Hongjun Yu, Aritra Mandal, Canran Xu, Qunzhi Zhou, Zhe Wu |
| 2025 | Efficient Sequential Recommendation for Long Term User Interest Via Personalization. | Qiang Zhang, Hanchao Yu, Ivan Ji, Chen Yuan, Yi Zhang, Chihuang Liu, Xiaolong Wang, Christopher E. Lambert, Ren Chen, Chen Kovacs, Xinzhu Bei, Renqin Cai, Rui Li, Lizhu Zhang, Xiangjun Fan, Qunshu Zhang, Benyu Zhang |
| 2025 | BrainNet-MoE: Brain-Inspired Mixture-of-Experts Learning for Neurological Disease Identification. | Jing Zhang, Xiaowei Yu, Tong Chen, Chao Cao, Minheng Chen, Yan Zhuang, Yanjun Lyu, Lu Zhang, Li Su, Tianming Liu, Dajiang Zhu |
| 2025 | Beyond Static LLM Policies: Imitation-Enhanced Reinforcement Learning for Recommendation. | Yi Zhang, Lili Xie, Ruihong Qiu, Jiajun Liu, Sen Wang |
| 2025 | POSFed: Tackling Non-IID Challenges in One-Shot Federated Learning via Personalization. | Yinghao Zhang, Xuanzhe Xiao, Jianxiong Guo, Zhiqing Tang, Qiufen Ni, Weili Wu |
| 2025 | Temporally-Aware Integration of Randomized Controlled Trials for Mitigating Hidden Confounding in Recommendations. | Yuchao Zhang, Tianyu Xia |
| 2025 | CTMR: Cohort-Aware Transformer Multi-Objective Ranker for Personalized Debiased and Diversity-Aware Product Search. | Liping Zhang, Subhajit Sanyal, Tracy King |
| 2025 | SVDLoRA: Data-Driven Low-Rank Adaptation via Spectral Decomposition. | Fanglue Zhang, Shufan Shen, Chao Bi, Li Su, Qingming Huang, Shuhui Wang |
| 2025 | Mapping Research on Social Cognitive Bias in Large Language Models. | Shumin Zhang, Jingwei Li, Yunan Gao, Yuejin Li, Shijie Zhang, Xitong Li |
| 2025 | Bringing Optimization to Everyone: Exploring LLMs as a Tool for Non-Experts and Students. | Winston Zhang, Mia Lu |
| 2025 | PMMR: Query-Adaptive GEO-Personalized Multimodal Ranking for Creative Search at Scale. | Liping Zhang, Tracy Holloway King, Ravindra Sadaphule, Jayant Kumar, Fengbin Chen, BY Yu, Vipul Dalal |
| 2025 | UWM3R: Uncertainty-Weighted Multi-Intent Experts for Direct-Deep Multimodal Ranking. | Liping Zhang, Tracy Holloway King, Ravindra Sadaphule, Jayant Kumar |
| 2025 | Sharpness-Aware Optimization Through Variance Suppression on Deep AUC Maximization. | Xinwen Zhang, Hongchang Gao |
| 2025 | DrugBank-2025: An AI-Ready Next-Generation Dataset for Drug-Drug Interaction Prediction. | Ran Zhang, Tian Du, Xiao Wu, Zidan Chen, Ping Xu, Pengjiang Li, Xuezhi Wang, Pengfei Wang |
| 2025 | TELESAFE: Monitoring Energy Consumption for Work-Life Boundaries in Telework. | Haoying Zhang, Nicolas Anciaux, Benjamin Nguyen, Jos Mara de Fuentes |
| 2025 | LR-IAD: Mask-Free Industrial Anomaly Detection with Logical Reasoning. | Peijian Zeng, Feiyan Pang, Zhanbo Wang, Aimin Yang |
| 2025 | DAMA: A Dual Alignment Framework for Enhanced LLM-Powered Recommendations. | Qingwen Zeng, Lining Chen, Jushang Qiu, Fangchen Liu, Huaming Chen, Ling Chen |
| 2025 | LensLLM: Unveiling Fine-Tuning Dynamics for LLM Selection. | Xinyue Zeng |
| 2025 | Realistic Controlled Time Series Generation with Variational Autoencoder. | Kirill Zakharov, Anton Kovantsev, Alexander Boukhanovsky |
| 2025 | Effective and Efficient Similarity Search for DNA Sequences Through de Bruijn Sum Graph Embedding. | Zhaochong Yu, Zihang Yang, Chris Ding, Chao Zeng, Feijuan Huang, Yuanzhe Cai |
| 2025 | Comparative Analysis of Graphcast and the Global Forecast System Using Real-Time Mesoscale Analysis. | Jonathan Yu, Jesse Yu |
| 2025 | From Full Data to Few: DQN-Driven SV Data Selection for One-Class SVM Anomaly Detection. | Wenqian Yu, Jiaying Wu, Jinglu Hu |
| 2025 | TALENT: Table VQA via Augmented Language-Enhanced Natural-Text Transcription. | Guo Yutong, Wanying Wang, Yue Wu, Zichen Miao, Haoyu Wang |
| 2025 | Truth Without Comprehension: A Bluesky Agenda for Steering the Fourth Mathematical Crisis. | Runlong Yu, Xiaowei Jia |