| 2026 | ReconVLA: Reconstructive Vision-Language-Action Model as Effective Robot Perceiver. | Wenxuan Song, Ziyang Zhou, Han Zhao, Jiayi Chen, Pengxiang Ding, Haodong Yan, Yuxin Huang, Feilong Tang, Donglin Wang, Haoang Li |
| 2026 | Injection, Attack and Erasure: Revocable Backdoor Attacks via Machine Unlearning. | Baogang Song, Dongdong Zhao, Jianwen Xiang, Qiben Xu, Zizhuo Yu |
| 2026 | Sim4Seg: Boosting Multimodal Multi-disease Medical Diagnosis Segmentation with Region-Aware Vision-Language Similarity Masks. | Lingran Song, Yucheng Zhou, Jianbing Shen |
| 2026 | Optimization and Robustness-Informed Membership Inference Attacks for LLMs. | Zichen Song, Qixin Zhang, Ming Li, Yao Shu |
| 2026 | Synthetic Forgetting Without Access: A Few-Shot Zero-Glance Framework for Machine Unlearning. | Qipeng Song, Nan Yang, Ziqi Xu, Yue Li, Wei Shao, Feng Xia |
| 2026 | Activation-wise Propagation: A One-Timestep Strategy for Spiking Neural Networks. | Jian Song, Xiangfei Yang, Shangke Lyu, Donglin Wang |
| 2026 | Object Fusion via Diffusion Time-step for Customized Image Editing with Single Example. | Xue Song, Zhongqi Yue, Jiequan Cui, Hanwang Zhang, Jingjing Chen |
| 2026 | Physically-Informed Flow Matching with Graph Neural Networks for Complex Fluid Dynamics. | Xiaozhuang Song, Tianshu Yu |
| 2026 | UniMM-V2X: MoE-Enhanced Multi-Level Fusion for End-to-End Cooperative Autonomous Driving. | Ziyi Song, Chen Xia, Chenbing Wang, Haibao Yu, Sheng Zhou, Zhisheng Niu |
| 2026 | UniAlignment: Semantic Alignment for Unified Image Generation, Understanding, Manipulation and Perception. | Xinyang Song, Libin Wang, Weining Wang, Shaozhen Liu, Dandan Zheng, Jingdong Chen, Qi Li, Zhenan Sun |
| 2026 | Causal Reward Adjustment: Mitigating Reward Hacking in External Reasoning via Backdoor Correction. | Ruike Song, Zeen Song, Huijie Guo, Wenwen Qiang |
| 2026 | Breaking One-Size-Fits-All: Revisiting Out-of-Distribution Detection on Graphs Under Diverse Distribution Shifts. | Chuancheng Song, Hanyang Shen, Yan Dong, Xixun Lin, Yanmin Shang, Yanan Cao |
| 2026 | KTV: Keyframes and Key Tokens Selection for Efficient Training-Free Video LLMs. | Baiyang Song, Jun Peng, Yuxin Zhang, Guangyao Chen, Feidiao Yang, Jianyuan Guo |
| 2026 | MV-LLMRec: Multi-View Representation Learning with Large Language Models for Recommendation (Student Abstract). | Minkyung Song, Soyoung Park, Sungsu Lim |
| 2026 | MAVIS: A Benchmark for Multimodal Source Attribution in Long-form Visual Question Answering. | Seokwon Song, Minsu Park, Gunhee Kim |
| 2026 | ManipLVM-R1: Reinforcement Learning for Reasoning in Embodied Manipulation with Large Vision-Language Models. | Zirui Song, Guangxian Ouyang, Mingzhe Li, Yuheng Ji, Chenxi Wang, Zixiang Xu, Zeyu Zhang, Xiaoqing Zhang, Qian Jiang, Fengxian Ji, Zhenhao Chen, Zhongzhi Li, Xiuying Chen |
| 2026 | Doubly Debiased Test-Time Prompt Tuning for Vision-Language Models. | Fei Song, Yi Li, Rui Wang, Jiahuan Zhou, Changwen Zheng, Jiangmeng Li |
| 2026 | Dual-Branch Asymmetric Discrepancy Learning Based on Fake Image Pattern-Coexistence for AI-Generated Image Detection. | Chunli Song, Jie Liu, Peiyang Wang, Ying Huang, Guixuan Zhang, Zhi Zeng, Shuwu Zhang |
| 2026 | Creating Blank Canvas Against AI-enabled Image Forgery. | Qi Song, Ziyuan Luo, Renjie Wan |
| 2026 | Human-Centric Open-Future Task Discovery: Formulation, Benchmark, and Scalable Tree-Based Search. | Zijian Song, Xiaoxin Lin, Tao Pu, Zhenlong Yuan, Guangrun Wang, Liang Lin |
| 2026 | Sparse-dLLM: Accelerating Diffusion LLMs with Dynamic Cache Eviction. | Yuerong Song, Xiaoran Liu, Ruixiao Li, Zhigeng Liu, Zengfeng Huang, Qipeng Guo, Ziwei He, Xipeng Qiu |
| 2026 | Privacy on the Fly: A Predictive Adversarial Transformation Network for Mobile Sensor Data. | Tianle Song, Chenhao Lin, Yang Cao, Zhengyu Zhao, Jiahao Sun, Chong Zhang, Le Yang, Chao Shen |
| 2026 | Insert Anything: Image Insertion via In-Context Editing in DiT. | Wensong Song, Hong Jiang, Zongxing Yang, Zheqiao Cheng, Ruijie Quan, Yi Yang |
| 2026 | Learning the Latent Structure: A Feature-Centric Approach to Graph Data Augmentation. | Yu Song, Zhigang Hua, Yan Xie, Bingheng Li, Jingzhe Liu, Bo Long, Jiliang Tang, Hui Liu |
| 2026 | CLUENet: Cluster Attention Makes Neural Networks Have Eyes. | Xiangshuai Song, Jun-Jie Huang, Tianrui Liu, Ke Liang, Chang Tang |