| 2026 | Spatial-Spectral Homogeneous Attacks on Physical-World Large Vision-Language Models. | Daizong Liu, Baoquan Chen, Wei Hu |
| 2026 | Learning Fair Graph Representations via Probability of Necessity and Sufficiency. | Chuxun Liu, Qingfeng Chen, Debo Cheng, Jiangzhang Gan, Jiuyong Li, Lin Liu |
| 2026 | MIGDiff: Multi-attributes Imputations for Attribute-missing Graphs via Graph Denoising Diffusion Model. | Ye Liu, Yang Chen, Hongmin Cai |
| 2026 | Beyond Observations: Reconstruction Error-Guided Irregularly Sampled Time Series Representation Learning. | Jiexi Liu, Meng Cao, Songcan Chen |
| 2026 | Accelerating Controllable Generation via Hybrid-grained Cache. | Lin Liu, Huixia Ben, Shuo Wang, Jinda Lu, Junxiang Qiu, Shengeng Tang, Yanbin Hao |
| 2026 | RMFAT: Recurrent Multi-scale Feature Atmospheric Turbulence Mitigator. | Zhiming Liu, Nantheera Anantrasirichai |
| 2026 | Towards Data-Efficient Deep Learning for RNA 3D Structure Prediction and Design. | Yimeng Liu |
| 2026 | Learning from Imperfect Data: Incremental Learning and Few-shot Learning. | Yaoyao Liu |
| 2026 | Drive-R1: Bridging Reasoning and Planning in VLMs for Autonomous Driving with Reinforcement Learning. | Yue Li, Meng Tian, Dechang Zhu, Jiangtong Zhu, Zhenyu Lin, Zhiwei Xiong, Xinhai Zhao |
| 2026 | A Logical Analysis of an Information Filtering Architecture Based on Epistemic Trust Inference. | Xu Li, Leendert van der Torre, Liuwen Yu |
| 2026 | Modeling Uncertainty Trends for Timely Retrieval in Dynamic RAG. | Bo Li, Tian Tian, Zhenghua Xu, Hao Cheng, Shikun Zhang, Wei Ye |
| 2026 | Uncovering Hidden Degeneration: A Physics-Guided Bidirectional Inference Framework for Industrial Time Series Prediction. | Xingwang Li, Fei Teng, Xin Wu, Qiang Duan |
| 2026 | Bridging Day and Night: Target-Class Hallucination Suppression in Unpaired Image Translation. | Shuwei Li, Lei Tan, Robby T. Tan |
| 2026 | Data-Centric Sequential Recommendation with Relation-Augmented Generation. | Yichen Li, Yichen Tan, Yijing Shan, Haozhao Wang, Rui Zhang, Imran Razzak, Ruixuan Li |
| 2026 | TRUST: Leveraging Text Robustness for Unsupervised Domain Adaptation. | Mattia Litrico, Mario Valerio Giuffrida, Sebastiano Battiato, Devis Tuia |
| 2026 | HiFi-Mesh: High-Fidelity Efficient 3D Mesh Generation via Compact Autoregressive Dependence. | Yanfeng Li, Tao Tan, Qinquan Gao, Zhiwen Cao, Xiaohong Liu, Yue Sun |
| 2026 | Persona, Ego, Shadow, and Self: A Map of the Soul Framework for Proto-Emotional Homeostasis in AI. | Napassorn Litchiowong |
| 2026 | Distribution-Based Feature Attribution for Explaining the Predictions of Any Classifier. | Xinpeng Li, Kai Ming Ting |
| 2026 | Adaptive Diffusion-based Augmentation for Recommendation. | Na Li, Fanghui Sun, Yan Zou, Yangfu Zhu, Xiatian Zhu, Ying Ma |
| 2026 | Semi-Supervised Synthetic Data Generation with Fine-Grained Relevance Control for Short Video Search Relevance Modeling. | Haoran Li, Zhiming Su, Junyan Yao, Enwei Zhang, Yang Ji, Yan Chen, Kan Zhou, Chao Feng, Jiao Ran |
| 2026 | DTTNet: Improving Video Shadow Detection via Dark-Aware Guidance and Tokenized Temporal Modeling. | Zhicheng Li, Kunyang Sun, Rui Yao, Hancheng Zhu, Fuyuan Hu, Jiaqi Zhao, Zhiwen Shao, Yong Zhou |
| 2026 | APT: Affine Prototype-Timestamp for Time Series Forecasting Under Distribution Shift. | Yujie Li, Zezhi Shao, Chengqing Yu, Yisong Fu, Tao Sun, Yongjun Xu, Fei Wang |
| 2026 | Belief-Driven Value Alignment for Human-Robot Collaboration. | Saisai Li, Bing Shi, Yiming Xia, Xiao Su |
| 2026 | Enhancing Predictive Model Learning via Domain-Knowledge Augmented Latent Feature Mining. | Bingxuan Li, Pengyi Shi, Amy R. Ward |
| 2026 | Think Then Rewrite: Reasoning Enhanced Query Rewriting for Domain Specific Retrieval. | Ang Li, Yufei Shi, Yuxuan Si, Yiquan Wu, Ming Cai, Xu Tan, Yi Wang, Changlong Sun, Xiaozhong Liu, Kun Kuang |