| 2026 | FedPKDA: Personalized Federated Learning with Privacy-Preserving Knowledge Dynamic Alignment. | Moxuan Zeng, Wenxuan Tu, Yuanyi Chen, Yiying Wang, Miao Yu, Xiangyan Tang, Jieren Cheng |
| 2026 | PCFormer: Accelerating Privacy-preserving Transformer Inference by Partition and Combination. | Bo Zeng, Zhi Pang, Yuyang Zhang, Kai Zhao, Tian Wu, Geying Yang, Lina Wang, Run Wang |
| 2026 | Hyperbolic Continuous Structural Entropy for Hierarchical Clustering. | Guangjie Zeng, Hao Peng, Angsheng Li, Li Sun, Chunyang Liu, Shengze Li, Yicheng Pan, Philip S. Yu |
| 2026 | SlideTailor: Personalized Presentation Slide Generation for Scientific Papers. | Wenzheng Zeng, Mingyu Ouyang, Langyuan Cui, Hwee Tou Ng |
| 2026 | Expert-Inspired Multi-Agent Coordination for Multi-Objective Molecular Optimization. | Daojian Zeng, Tianle Li, Jiahao Yang, Jiacai Yi, Xieping Gao, Lincheng Jiang, Tengfei Ma, Xiangxiang Zeng |
| 2026 | FDC-Ground: Improving GRPO for GUI Grounding via Exponential Rewards and Fact-Aligned Pruning. | Xiangjian Zeng, Wenjing Li, Qingqiang Wu, Liang Zhang |
| 2026 | ToolACE-R: Model-aware Iterative Training and Adaptive Refinement for Tool learning. | Xingshan Zeng, Weiwen Liu, Xu Huang, Zezhong Wang, Lingzhi Wang, Liangyou Li, Yasheng Wang, Lifeng Shang, Xin Jiang, Ruiming Tang, Qun Liu |
| 2026 | Fading the Digital Ink: A Universal Black-Box Attack Framework for 3DGS Watermarking Systems. | Qingyuan Zeng, Shu Jiang, Jiajing Lin, Zhenzhong Wang, Kay Chen Tan, Min Jiang |
| 2026 | PriorDrive: Enhancing Online HD Mapping with Unified Vector Priors. | Shuang Zeng, Xinyuan Chang, Xinran Liu, Yujian Yuan, Shiyi Liang, Zheng Pan, Mu Xu, Xing Wei |
| 2026 | Arbitrary-Scale 3D Gaussian Super-Resolution. | Huimin Zeng, Yue Bai, Yun Fu |
| 2026 | Radar Instance Transformer: Reliable Moving Instance Segmentation in Sparse Radar Point Clouds (Abstract Reprint). | Matthias Zeller, Vardeep S. Sandhu, Benedikt Mersch, Jens Behley, Michael Heidingsfeld, Cyrill Stachniss |
| 2026 | Deviation Dynamics in Cardinal Hedonic Games. | Valentin Zech, Martin Bullinger |
| 2026 | CAMA: Enhancing Mathematical Reasoning in Large Language Models with Causal Knowledge. | Lei Zan, Keli Zhang, Ruichu Cai, Lujia Pan |
| 2026 | Uncovering Bias Paths with LLM-guided Causal Discovery: An Active Learning and Dynamic Scoring Approach. | Khadija Zanna, Akane Sano |
| 2026 | Generating Sketches in a Hierarchical Auto-Regressive Process for Flexible Sketch Drawing Manipulation at Stroke-Level. | Sicong Zang, Shuhui Gao, Zhijun Fang |
| 2026 | Topology-aware Knowledge Preservation for Class-Incremental Learning. | Han Zang, Yongfeng Dong, Linhao Li, Liang Yang, Yu Wang |
| 2026 | VeriFlow: Modeling Distributions for Neural Network Verification. | Faried Abu Zaid, Daniel Neider, Mustafa Yaliner |
| 2026 | Generating Risky Samples with Conformity Constraints via Diffusion Models. | Han Yu, Hao Zou, Xingxuan Zhang, Zhengyi Wang, Yue He, Kehan Li, Peng Cui |
| 2026 | GraphGrasp: Lightweight and Efficient Graph-Guided 6-DoF Robotic Grasp Pose Estimation Network. | Sheng Yu, Di-Hua Zhai, Yuanqing Xia |
| 2026 | Rethinking Crystal Symmetry Prediction: A Decoupled Perspective. | Liheng Yu, Zhe Zhao, Xucong Wang, Di Wu, Pengkun Wang |
| 2026 | Error Slice Discovery via Manifold Compactness. | Han Yu, Hao Zou, Jiashuo Liu, Renzhe Xu, Yue He, Xingxuan Zhang, Peng Cui |
| 2026 | Enhancing Logical Expressiveness in Graph Neural Networks via Path-Neighbor Aggregation. | Han Yu, Xiaojuan Zhao, Aiping Li, Kai Chen, Ziniu Liu, Zhichao Peng |
| 2026 | RealUHR: Harnessing Patch-Cascade Flows for Photorealistic Ultra-High-Resolution Synthesis. | Yongsheng Yu, Haitian Zheng, Zhe Lin, Connelly Barnes, Yuqian Zhou, Zhifei Zhang, Jiebo Luo |
| 2026 | Understanding Interaction as You Need: Intention-Driven Pedestrian Behavior Prediction. | Hang Yu, Yansen Yu, Jiayan Qiu |
| 2026 | TrustEnergy: A Unified Framework for Accurate and Reliable User-level Energy Usage Prediction. | Dahai Yu, Rongchao Xu, Dingyi Zhuang, Yuheng Bu, Shenhao Wang, Guang Wang |