| 2026 | D-FCGS: Feedforward Compression of Dynamic Gaussian Splatting for Free-Viewpoint Videos. | Wenkang Zhang, Yan Zhao, Qiang Wang, Zhixin Xu, Li Song, Zhengxue Cheng |
| 2026 | xMHashSeg: Cross-modal Hash Learning for Training-free Unsupervised LiDAR Semantic Segmentation. | Jialong Zhang, Yachao Zhang, Yao Wu, Jiangming Shi, Fangyong Wang, Yanyun Qu |
| 2026 | On the Learning Dynamics of Two-layer Linear Networks with Label Noise SGD. | Tongcheng Zhang, Zhanpeng Zhou, Mingze Wang, Andi Han, Wei Huang, Taiji Suzuki, Junchi Yan |
| 2026 | SafeSieve: From Heuristics to Experience in Progressive Pruning for LLM-based Multi-Agent Communication. | Ruijia Zhang, Xinyan Zhao, Ruixiang Wang, Sigen Chen, Guibin Zhang, An Zhang, Kun Wang, Qingsong Wen |
| 2026 | T2I-RiskyPrompt: A Benchmark for Safety Evaluation, Attack, and Defense on Text-to-Image Model. | Chenyu Zhang, Tairen Zhang, Lanjun Wang, Ruidong Chen, Wenhui Li, Anan Liu |
| 2026 | Safety Alignment of Large Language Models via Contrasting Safe and Harmful Distributions. | Xiaoyun Zhang, Zhengyue Zhao, Wenxuan Shi, Kaidi Xu, Di Huang, Xing Hu |
| 2026 | Spike Imaging Velocimetry: Dense Motion Estimation of Fluids Using Spike Streams. | Yunzhong Zhang, You Zhou, Changqing Su, Zhen Cheng, Zhaofei Yu, Bo Xiong, Tiejun Huang, Xun Cao |
| 2026 | Vulnerability-Aware Robust Multimodal Adversarial Training. | Junrui Zhang, Xinyu Zhao, Jie Peng, Chenjie Wang, Jianmin Ji, Tianlong Chen |
| 2026 | Real Noise Decoupling for Hyperspectral Image Denoising. | Yingkai Zhang, Tao Zhang, Jing Nie, Ying Fu |
| 2026 | MMhops-R1: Multimodal Multi-hop Reasoning. | Tao Zhang, Ziqi Zhang, Zongyang Ma, Yuxin Chen, Bing Li, Chunfeng Yuan, Guangting Wang, Fengyun Rao, Ying Shan, Weiming Hu |
| 2026 | FedSEA-LLaMA: A Secure, Efficient and Adaptive Federated Splitting Framework for Large Language Models. | Zishuai Zhang, Hainan Zhang, Weihua Li, Qinnan Zhang, Jin Dong, Yongxin Tong, Zhiming Zheng |
| 2026 | Rethinking Multi-Instance Learning Through Graph-Driven Fusion: A Dual-Path Approach to Adaptive Representation. | Yu-Xuan Zhang, Zhengchun Zhou, Weisha Liu, Mingxing Zhang |
| 2026 | Frequency-Aware Vision-Language Multimodality Generalization Network for Remote Sensing Image Classification. | Junjie Zhang, Feng Zhao, Hanqiang Liu, Jun Yu |
| 2026 | Rep Deep & Machine Learning: Exemplar-Free Continual Video Action Recognition via Slow-Fast Collaborative Learning. | Xueyi Zhang, Chengwei Zhang, Zheng Li, Xiyu Wang, Siqi Cai, Mingrui Lao, Yanming Guo, Huiping Zhuang |
| 2026 | Diversity Recommendation via Causal Deconfounding of Co-purchase Relations and Counterfactual Exposure. | Jingmao Zhang, Zhiting Zhao, Yunqi Lin, Jianghong Ma, Tianjun Wei, Haijun Zhang, Xiaofeng Zhang |
| 2026 | ASKD: Reinforcement Learning-Style Knowledge Distillation with Quality-Adaptive Skewness. | Mingjie Zhang, Xiaoling Zhou, Yuxiao Luo, Yiyu Liu, Shikun Zhang, Wei Ye |
| 2026 | PET2Rep: Towards Vision-Language Model-Drived Automated Radiology Report Generation for Positron Emission Tomography. | Yichi Zhang, Wenbo Zhang, Zehui Ling, Gang Feng, Sisi Peng, Deshu Chen, Yuchen Liu, Hongwei Zhang, Shuqi Wang, Lanlan Li, Limei Han, Yuan Cheng, Zixin Hu, Yuan Qi, Le Xue |
| 2026 | PANDA: Empowering Small Language Models for Proactive Dialogue Through Agent-Based Synthesis (Student Abstract). | Rongyu Zhang, Dingyuan Zhang, Haopeng Li |
| 2026 | Balancing Signal and Variance: Adaptive Offline RL Post-Training for VLA Flow Models. | Hongyin Zhang, Shiyuan Zhang, Junxi Jin, Qixin Zeng, Yifan Qiao, Hongchao Lu, Donglin Wang |
| 2026 | Adaptive Morph-Patch Transformer for Aortic Vessel Segmentation. | Zhenxi Zhang, Fuchen Zheng, Adnan Iltaf, Yifei Han, Zhenyu Chen, Yue Du, Bin Li, Tianyong Liu, Shoujun Zhou |
| 2026 | Disentangling for Transfer: Boosting Limited Modalities via Information-Theoretic Regularization and Cross-Modal Reconstruction. | Zhiyun Zhang, Yan-Jie Zhou, Yujian Hu, Xiyao Ma, Zhouhang Yuan, Zirui Wang, Hongkun Zhang, Minfeng Xu |
| 2026 | Learning to Compress: Unlocking the Potential of Large Language Models for Text Representation. | Yeqin Zhang, Yizheng Zhao, Chen Hu, Binxing Jiao, Daxin Jiang, Ruihang Miao, Cam-Tu Nguyen |
| 2026 | Learning to Generate and Extract: A Multi-Agent Collaboration Framework for Zero-Shot Document-Level Event Arguments Extraction. | Guangjun Zhang, Hu Zhang, Yazhou Han, Yue Fan, Yuhang Shao, Hongye Tan, Ru Li |
| 2026 | Patho-R1: A Multimodal Reinforcement Learning-Based Pathology Expert Reasoner. | Wenchuan Zhang, Penghao Zhang, Jingru Guo, Tao Cheng, Jie Chen, Shuwan Zhang, Zhang Zhang, Yuhao Yi, Hong Bu |
| 2026 | Tracking and Segmenting Anything in Any Modality. | Tianlu Zhang, Qiang Zhang, Guiguang Ding, Jungong Han |