| 2026 | Reinforcement Learning with Fuzzy Human Attention-Guided Graph for Heterogeneous Multiagent Systems. | Dingbang Liu, Fenghui Ren, Jun Yan, Guoxin Su, Shohei Kato, Wen Gu |
| 2026 | Predict and Resist: Long-Term Accident Anticipation Under Sensor Noise. | Xingcheng Liu, Bin Rao, Yanchen Guan, Chengyue Wang, Haicheng Liao, Jiaxun Zhang, Chengyu Lin, Meixin Zhu, Zhenning Li |
| 2026 | Faithful in Steps: Improving Generalization and Citation in RAG via Query Decomposition. | Yue Liu, Zhongying Ru, Shimin Di, Jipeng Zhang, Ruiyuan Zhang, Xiaofang Zhou |
| 2026 | Riemannian Manifold Learning for Stackelberg Games with Neural Flow Representations. | Larkin Liu, Kashif Rasul, Yutong Chao, Jalal Etesami |
| 2026 | Rethinking Irregular Time Series Forecasting: A Simple Yet Effective Baseline. | Xvyuan Liu, Xiangfei Qiu, Xingjian Wu, Zhengyu Li, Chenjuan Guo, Jilin Hu, Bin Yang |
| 2026 | Hyperbolic-Enhanced Mixture-of-Experts Mamba for Sequential Recommendation. | Yuwen Liu, Lianyong Qi, Xingyuan Mao, Weiming Liu, Xuhui Fan, Qiang Ni, Xuyun Zhang, Yang Zhang, Yuan Tian, Amin Beheshti |
| 2026 | CausalCLIP: Causally-Informed Feature Disentanglement and Filtering for Generalizable Detection of Generated Images. | Bo Liu, Qiao Qin, Qinghui He |
| 2026 | Neighbor-aware Instance Refining with Noisy Labels for Cross-Modal Retrieval. | Yizhi Liu, Ruitao Pu, Shilin Xu, Yingke Chen, Quan-Hui Liu, Yuan Sun |
| 2026 | Cross-View Progressive Feature Filtering for Multi-View Graph Clustering in Remote Sensing. | Bowen Liu, Xin Peng, Wenxuan Tu, Chengyao Wei, Xiangyan Tang, Jieren Cheng, Miao Yu |
| 2026 | Perceiving the Knowledge Boundary: Uncertainty-Guided Exploration and Imagination for World Models. | Zhenxian Liu, Peixi Peng, Yangru Huang, Yonghong Tian |
| 2026 | CAPO: A Unified Policy Gradient Approach for Reward and Cost Optimization in Safe Reinforcement Learning (Student Abstract). | Xiaotao Liu, Mohit Prashant, Arvind Easwaran |
| 2026 | Rethinking Target Label Conditioning in Adversarial Attacks: A 2D Tensor-Guided Generative Approach. | Hangyu Liu, Bo Peng, Pengxiang Ding, Donglin Wang |
| 2026 | S²HyRec: Self-Supervised Hypergraph Sequential Recommendation. | Yuchen Liu, Kunyu Ni, Zhongying Zhao, Guoqing Chao, Yanwei Yu |
| 2026 | View-on-Graph: Zero-Shot 3D Visual Grounding via Vision-Language Reasoning on Scene Graphs. | Yuanyuan Liu, Haiyang Mei, Dongyang Zhan, Jiayue Zhao, Dongsheng Zhou, Bo Dong, Xin Yang |
| 2026 | MRT: Learning Compact Representations with Mixed RWKV-Transformer for Extreme Image Compression. | Han Liu, Hengyu Man, Xingtao Wang, Wenrui Li, Debin Zhao |
| 2026 | ARBench: Algorithmic Reasoner or API Alchemist? Evaluating LLMs Beyond API Calls. | Renbiao Liu, Chao-Zeng Ma, Anqi Li, Hui Sun, Xin-Ye Li, Ming Li |
| 2026 | PriorRG: Prior-Guided Contrastive Pre-training and Coarse-to-Fine Decoding for Chest X-ray Report Generation. | Kang Liu, Zhuoqi Ma, Zikang Fang, Yunan Li, Kun Xie, Qiguang Miao |
| 2026 | Rethinking Bias in Generative Data Augmentation for Medical AI: A Frequency Recalibration Method. | Chi Liu, Jincheng Liu, Congcong Zhu, Minghao Wang, Sheng Shen, Jia Gu, Tianqing Zhu, Wanlei Zhou |
| 2026 | EoH-S: Evolution of Heuristic Set Using LLMs for Automated Heuristic Design. | Fei Liu, Yilu Liu, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan |
| 2026 | MindCross: Fast New Subject Adaptation with Limited Data for Cross-subject Video Reconstruction from Brain Signals. | Xuan-Hao Liu, Yan-Kai Liu, Tianyi Zhou, Bao-Liang Lu, Wei-Long Zheng |
| 2026 | 4DSTR: Advancing Generative 4D Gaussians with Spatial-Temporal Rectification for High-Quality and Consistent 4D Generation. | Mengmeng Liu, Jiuming Liu, Yunpeng Zhang, Jiangtao Li, Michael Ying Yang, Francesco Nex, Hao Cheng |
| 2026 | InfiGUI-G1: Advancing GUI Grounding with Adaptive Exploration Policy Optimization. | Yuhang Liu, Zeyu Liu, Shuanghe Zhu, Pengxiang Li, Congkai Xie, Jiasheng Wang, Xueyu Hu, Xiaotian Han, Jianbo Yuan, Xinyao Wang, Shengyu Zhang, Hongxia Yang, Fei Wu |
| 2026 | Look as You Think: Unifying Reasoning and Visual Evidence Attribution for Verifiable Document RAG via Reinforcement Learning. | Shuochen Liu, Pengfei Luo, Chao Zhang, Yuhao Chen, Haotian Zhang, Qi Liu, Xin Kou, Tong Xu, Enhong Chen |
| 2026 | GLOBA: Rethinking Parameter Conflicts in Model Merging. | Zehao Liu, Kun Li, Wei Zhou |
| 2026 | BadThink: Triggered Overthinking Attacks on Chain-of-Thought Reasoning in Large Language Models. | Shuaitong Liu, Renjue Li, Lijia Yu, Lijun Zhang, Zhiming Liu, Gaojie Jin |