| 2026 | Counterfactual-Driven Zero-Shot Classifier Expansion. | Xiangyu Wang, Yanze Gao, Changxin Rong, Lyuzhou Chen, Derui Lyu, Xiren Zhou, Taiyu Ban, Huanhuan Chen |
| 2026 | A Rolling Stone Gathers No Moss: Adaptive Policy Optimization for Stable Self-Evaluation in Large Multimodal Models. | Wenkai Wang, Hongcan Guo, Zheqi Lv, Shengyu Zhang |
| 2026 | Unified View Extraction with Low-Rankness and Smoothness Fusion for Multi-View Subspace Clustering. | Yapeng Wang, Quanxue Gao, Fangfang Li, Yu Yun, Ming Yang |
| 2026 | Beyond N-grams: A Hierarchical Reward Learning Framework for Clinically-Aware Medical Report Generation. | Yuan Wang, Shujian Gao, Jiaxiang Liu, Songtao Jiang, Haoxiang Xia, Xiaotian Zhang, Zhaolu Kang, Yemin Wang, Zuozhu Liu |
| 2026 | Modality-Aware Bias Mitigation and Invariance Learning for Unsupervised Visible-Infrared Person Re-Identification. | Menglin Wang, Xiaojin Gong, Jiachen Li, Genlin Ji |
| 2026 | Rethinking Flow and Diffusion Bridge Models for Speech Enhancement. | Dahan Wang, Jun Gao, Tong Lei, Yuxiang Hu, Changbao Zhu, Kai Chen, Jing Lu |
| 2026 | Instance Generation for Meta-Black-Box Optimization Through Latent Space Reverse Engineering. | Chen Wang, Yue-Jiao Gong, Zhiguang Cao, Zeyuan Ma |
| 2026 | Spectrally Adaptive Channel-aware Unrolling Network for Compressed Sensing. | Xiaoyang Wang, Hongping Gan |
| 2026 | From Subtle to Significant: Prompt-Driven Self-Improving Optimization in Test-Time Graph OOD Detection. | Luzhi Wang, Xuanshuo Fu, He Zhang, Chuang Liu, Xiaobao Wang, Hongbo Liu |
| 2026 | ArchRAG: Attributed Community-based Hierarchical Retrieval-Augmented Generation. | Shu Wang, Yixiang Fang, Yingli Zhou, Xilin Liu, Yuchi Ma |
| 2026 | RatioSketch: Towards More Accurate Frequency Estimation in Data Streams via a Lightweight Neural Network. | Mengbo Wang, Zhuochen Fan, Dayu Wang, Guorui Xie, Qing Li, Zeyu Luan, Yong Jiang, Tong Yang, Mingwei Xu |
| 2026 | SigFusion: Unified Signal-Level Self-Supervised Learning Paradigm for Image Fusion. | Zeyu Wang, Jiawei Feng, Jiayu Wang, Pengjie Wang, Haiyu Song |
| 2026 | MAU-GPT: Enhancing Multi-type Industrial Anomaly Understanding via Anomaly-aware and Generalist Experts Adaptation. | Zhuonan Wang, Zhenxuan Fan, Siwen Tan, Yu Zhong, Yuqian Yuan, Haoyuan Li, Hao Jiang, Wenqiao Zhang, Feifei Shao, Hongwei Wang, Jun Xiao |
| 2026 | Safe Multi-agent Reinforcement Learning with Natural Language Constraints. | Ziyan Wang, Meng Fang, Tristan Tomilin, Fei Fang, Yali Du |
| 2026 | Blur-Robust Detection via Feature Restoration: An End-to-End Framework for Prior-Guided Infrared UAV Target Detection. | Xiaolin Wang, Houzhang Fang, Qingshan Li, Lu Wang, Yi Chang, Luxin Yan |
| 2026 | InterMoE: Individual-Specific 3D Human Interaction Generation via Dynamic Temporal-Selective MoE. | Lipeng Wang, Hongxing Fan, Haohua Chen, Zehuan Huang, Lu Sheng |
| 2026 | End-to-End Knowledge Distillation for Unsupervised Domain Adaptation with Large Vision-language Models. | Yangtao Wang, Xingwei Deng, Yanzhao Xie, Weilong Peng, Siyuan Chen, Xiaocui Li, Maobin Tang, Meie Fang |
| 2026 | HFR-MKGC: Hierarchical Fusion Reasoning with MLLMs for Multi-modal Knowledge Graph Completion. | Di Wang, Junping Du, Zhe Xue, Meiyu Liang, Guanhua Ye, Yingxia Shao, Haisheng Li |
| 2026 | Training-Free ANN-to-SNN Conversion for High-Performance Spiking Transformers. | Jingya Wang, Xin Deng, Wenjie Wei, Dehao Zhang, Shuai Wang, Qian Sun, Jieyuan Zhang, Hanwen Liu, Ning Xie, Malu Zhang |
| 2026 | COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees. | Zhiyuan Wang, Jinhao Duan, Qingni Wang, Xiaofeng Zhu, Tianlong Chen, Xiaoshuang Shi, Kaidi Xu |
| 2026 | AutoSCORE: Enhancing Automated Scoring with Multi-Agent Large Language Models via Structured Component Recognition. | Yun Wang, Zhaojun Ding, Xuansheng Wu, Siyue Sun, Ninghao Liu, Xiaoming Zhai |
| 2026 | From Sequential to Recursive: Enhancing Decision-Focused Learning with Bidirectional Feedback. | Xinyu Wang, Jinxiao Du, Yiyang Peng, Wei Ma |
| 2026 | Adaptive Riemannian Graph Neural Networks. | Xudong Wang, Chris Ding, Tongxin Li, Jicong Fan |
| 2026 | VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model. | Yihao Wang, Pengxiang Ding, Lingxiao Li, Can Cui, Zirui Ge, Xinyang Tong, Wenxuan Song, Han Zhao, Wei Zhao, Pengxu Hou, Siteng Huang, Yifan Tang, Wenhui Wang, Ru Zhang, Jianyi Liu, Donglin Wang |
| 2026 | The Finer the Better: Towards Granular-aware Open-set Domain Generalization. | Yunyun Wang, Zheng Duan, Xinyue Liao, Ke-Jia Chen, Songcan Chen |