| 2026 | EIAN: Explicit Interaction-aware Attention Network for Interpretable Event Modeling. | Jiping Zhang, Hua Zhu, Hong Huang, Yongkang Zhou, Kehan Yin, Bang Liu |
| 2026 | Toward Green Computing: General Carbon Intensity Forecasting via Dual Graph Empowered Time Series Foundation Model. | Xiaoyang Zhang, Taiqi Zhou, Fang He, Yang Deng, Dan Wang |
| 2026 | Dynamic Prototype-Augmented Stance Detection: Learning from the Seen to Reason about the Unseen. | Zhaodan Zhang, Jin Zhang, Jiafeng Guo |
| 2026 | RobustExplain: Evaluating Robustness of LLM-Based Explanation Agents for Recommendation. | Guilin Zhang, Kai Zhao, Jeffrey Friedman, Xu Chu |
| 2026 | LLMs as Orchestrators: Constraint-Compliant Multi-Agent Optimization for Recommendation Systems. | Guilin Zhang, Kai Zhao, Jeffrey Friedman, Xu Chu |
| 2026 | Decentralized in Name Only: The Centralization of DAO Labor. | Lingling Zhang, Morteza Zihayat, Ebrahim Bagheri |
| 2026 | Diffusion-based Kriging Model with Graph-enhanced Attention. | Mingtao Zhang, Guoli Yang, Zhanxing Zhu, Guangyin Jin, Mengzhu Wang, Xiaoying Bai |
| 2026 | Harnessing LLM for Noise-Robust Cognitive Diagnosis in Web-Based Intelligent Education Systems. | Guixian Zhang, Guan Yuan, Ziqi Xu, Yanmei Zhang, Jing Ren, Zhenyun Deng, Debo Cheng |
| 2026 | Generative Data Transformation: From Mixed to Unified Data. | Jiaqing Zhang, Mingjia Yin, Hao Wang, Yuxin Tian, Yuyang Ye, Yawen Li, Wei Guo, Yong Liu, Enhong Chen |
| 2026 | Trireme: A Tripartite Regulation Scheme for Diffusion Models. | Hengtong Zhang, Chen Ye, Hongzhi Wang |
| 2026 | Talos: Optimizing Top-K Accuracy in Recommender Systems. | Shengjia Zhang, Weiqin Yang, Jiawei Chen, Peng Wu, Yuegang Sun, Gang Wang, Qihao Shi, Can Wang |
| 2026 | Learning Evolving Preferences: A Federated Continual Framework for User-Centric Recommendation. | Chunxu Zhang, Zhiheng Xue, Guodong Long, Weipeng Zhang, Bo Yang |
| 2026 | CoLOR-DP: Conjugate Low-Rank Differential Privacy for Structure-Aware LoRA Fine-Tuning. | Kai Zhang, Yuxuan Xu, Wenxiang Lin, Chaoqun Hong, Pei-Wei Tsai, Xin Yuan, Minhui Xue |
| 2026 | Fed-S2: Adversarially Disentangled Federated Multimodal RAG for Safety-Critical Long-Tail Fault Diagnosis. | Qianqi Zhang, Zeling Xu, Caichun Cen, Yuntao Zou, Hongyan Liu, Yaohua Deng, Hao Wu, Zhiyong Liao, Zihui Lin, Dagang Li, Wei Wang |
| 2026 | Toward Graph-Tokenizing Large Language Models with Reconstructive Graph Instruction Tuning. | Zhongjian Zhang, Xiao Wang, Mengmei Zhang, Jiarui Tan, Chuan Shi |
| 2026 | SEMixer: Semantics Enhanced MLP-Mixer for Multiscale Mixing and Long-term Time Series Forecasting. | Xu Zhang, Qitong Wang, Peng Wang, Wei Wang |
| 2026 | Enhancing Large Language Models for Time-Series Forecasting via Vector-Injected In-Context Learning. | Jianqi Zhang, Jingyao Wang, Wenwen Qiang, Fanjiang Xu, Changwen Zheng |
| 2026 | Model Editing for New Document Integration in Generative Information Retrieval. | Zhen Zhang, Zihan Wang, Xinyu Ma, Shuaiqiang Wang, Dawei Yin, Xin Xin, Pengjie Ren, Maarten de Rijke, Zhaochun Ren |
| 2026 | Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification. | Xu Zhang, Peng Wang, Yichen Li, Wei Wang |
| 2026 | Re-Diffusion: Modeling Latent Residuals with Diffusion for Time-Series Forecasting. | Boning Zhang, Haishuai Wang, Zehong Hu, Jiajun Wang, Hongyi Zhang, Jia Jia |
| 2026 | Talking-Head Generation in Practice. | Zhicheng Zhang, Lei Wang, Yongsheng Gao, Yu Zhang |
| 2026 | The 2nd Workshop on Human-Centered Recommender Systems. | Kaike Zhang, Jiakai Tang, Du Su, Shuchang Liu, Julian J. McAuley, Lina Yao, Qi Cao, Yue Feng, Fei Sun |
| 2026 | KMLP: A Scalable Hybrid Architecture for Web-Scale Tabular Data Modeling. | Mingming Zhang, Pengfei Shi, Junbo Zhao, Ningtao Wang, Feng Zhao, Guandong Sun, Yulin Kang, Xing Fu, Zhiqing Xiao, Weiqiang Wang, Ruizhe Gao |
| 2026 | ULoR: Uncertainty-Aware Leave-One-Out Refinement Framework for Diagnosis Prediction. | Jie Zhang, Wanzi Shao, Yanchao Tan |
| 2026 | FlowRAG: Continual Learning for Dynamic Retriever in Retrieval-Augmented Generation. | Senlei Zhang, Tongjun Shi, Dandan Song, Luan Zhang, Shuhao Zhang, Xiaofei Liao, Hai Jin |