| 2026 | BARouter: A Budget-adaptive Online Large Language Model Router Framework. | Lingkai Zu, Xiyue Peng, Xin Liu |
| 2026 | Measuring Privacy Risks and Tradeoffs in Financial Synthetic Data Generation. | Michael Zuo, Inwon Kang, Stacy Patterson, Oshani Seneviratne |
| 2026 | Think Then Recommend: An LLM-Powered Multi-Agent Framework for Personalized Conversational Recommender System in E-Commerce. | Yuankun Zu, Xiangyu Cai, Chuchu Yu, Hao Peng, Jia Duan, Long Chen, Kunyao Wang, Zehua Zhang, Changping Peng, Zhangang Lin, Ching Law |
| 2026 | Interaction-level Membership Inference Attack for Recommender Systems via Cluster-based User Modeling. | Danyang Zong, Kaike Zhang, Qi Cao, Du Su, Fei Sun |
| 2026 | Dynamic Min-Max Multi-Dimensional Reinforcement Backdoor Attacks and Orchestrated Closed-Loop Defense in Fairness-Aware Web Federated Finance. | Ruixiao Zhu, Kun Zhu, Nana Zhang, Qi Zhang, Changjun Jiang |
| 2026 | LoRA-E | Shengkun Zhu, Jinshan Zeng, Yiming Wang, Sheng Wang, Yuan Sun, Shangfeng Chen, Yuan Yao, Qiang Yang |
| 2026 | Proteus: Towards Accurate and Low-overhead In-Network Malicious Traffic Detection. | Longlong Zhu, Linying Zheng, Qing Shu, Zedi Chen, Jiashuo Yu, Yuhan Wu, Shaopeng Zhou, Hongyan Liu, Dong Zhang, Chunming Wu, Xiang Chen |
| 2026 | From Sold-Out to Sales Uplift: Causal Inference for Intelligent Inventory Management on Online Travel Platforms. | Fanwei Zhu, Zhuoran Zhuang, Detao Lv, Manwei Li, Yao Yu |
| 2026 | HALO: Hierarchical Reinforcement Learning for Large-Scale Adaptive Traffic Signal Control. | Yaqiao Zhu, Hongkai Wen, Geyong Min, Man Luo |
| 2026 | CityVerse: A Unified Data Framework for Evaluating Large Language Models in Urban Computing. | Yaqiao Zhu, Hongkai Wen, Mark H. Birkin, Man Luo |
| 2026 | QDDR: Quality-Driven Intent Disentanglement with Dual-Path Modeling for Recommendation. | Nengjun Zhu, Yixun Lu, Qi Zhang |
| 2026 | Struggling at the Start: Structural Causes of Decoding Difficulty in Code Generation. | Yuqi Zhu, Jia Li, Hao Jiang, Shengze Li, Jieyuan Zhang, Ang Li |
| 2026 | Iterative Semantic Reasoning from Individual to Group Interests for Generative Recommendation with LLMs. | Xiaofei Zhu, Jinfei Chen, Feiyang Yuan, Zhou Yang |
| 2026 | FeedGuard: Online Critic-Guided Reinforcement Learning with Privacy-Preserving Feedback for Recommendation. | Mengying Zhu, Feiyue Chen, Lifan Jiang, Mengyuan Yang, Yangyang Wu, Guanjie Cheng, Xiaolin Zheng |
| 2026 | LoSemB: Logic-Guided Semantic Bridging for Inductive Tool Retrieval. | Luyao Zhuang, Qinggang Zhang, Huachi Zhou, Yujing Zhang, Xiao Huang |
| 2026 | FedDis: A Causal Disentanglement Framework for Federated Traffic Prediction. | Chengyang Zhou, Zijian Zhang, Chunxu Zhang, Hao Miao, Yulin Zhang, Kedi Lyu, Juncheng Hu |
| 2026 | Experience is the Best Teacher: Augmenting LLM Reasoning with Knowledge Learned from the Past. | Mingjun Zhou, Weixin Zeng, Xiang Zhao |
| 2026 | Drifting with Intent: Generative Interest Trajectories for Multimodal Web Recommendation. | Weilin Zhou, Hao Zhang, Guangxin Wu |
| 2026 | Line Graphs Are Here! Unlock a Simple Solution for Data Sparsity and Class Imbalance in Recommender System. | Junming Zhou, Hao Zhong, Shupeng Li, Zhengyang Wu, Yong Tang, Ronghua Lin |
| 2026 | LongRanker: Efficient One-Pass Document Reranking with Long-Context Large Language Models. | Changjiang Zhou, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng |
| 2026 | TrustResearcher: Automating Knowledge-Grounded and Transparent Research Ideation with Multi-Agent Collaboration. | Jiawei Zhou, Ruicheng Zhu, Mengshi Chen, Jianwei Wang, Kai Wang |
| 2026 | GeoPBR: Multimodal-Guided PBR Material Generation from a Single View. | Luying Zhou, Guowu Yang |
| 2026 | VecFormer: Towards Efficient and Generalizable Graph Transformer with Graph Token Attention. | Jingbo Zhou, Jun Xia, Siyuan Li, Yunfan Liu, Wenjun Wang, Yufei Huang, Changxi Chi, Mutian Hong, Zhuoli Ouyang, Shu Wang, Zhongqi Wang, Xingyu Wu, Chang Yu, Stan Z. Li |
| 2026 | Activation Caching for Retrieval-Augmented Generation. | Shu Zhou, Yufei Song, Jinman Leng, Xin Wang, Tao Fan, Hao Wang |
| 2026 | Cascaded Verification Framework: A Progressive Approach for Mitigating Hallucinations in Large Language Models. | Shu Zhou, Yufei Song, Jinman Leng, Xin Wang, Tao Fan, Hao Wang |