| 2026 | Click-to-Ask: An AI Live Streaming Assistant with Offline Copywriting and Online Interactive QA. | Ruizhi Yu, Keyang Zhong, Peng Liu, Qi Wu, Haoran Zhang, Yanhao Zhang, Chen Chen, Haonan Lu |
| 2026 | MASI: Memory-Adaptive Inference Framework for Spiking Neural Networks on Edge Devices. | Di Yu, Helin Zheng, Changze Lv, Xin Du, Linshan Jiang, Xiang Liu, Gang Pan, Shuiguang Deng |
| 2026 | GraphRAG-R1: Graph Retrieval-Augmented Generation with Process-Constrained Reinforcement Learning. | Chuanyue Yu, Kuo Zhao, Yuhan Li, Heng Chang, Mingjian Feng, Xiangzhe Jiang, Yufei Sun, Jia Li, Yuzhi Zhang, Qingyun Sun, Jianxin Li, Ziwei Zhang |
| 2026 | SliceGX: Layer-wise GNN Explanation with Model-slicing. | Cibo Yu, Tingting Zhu, Tingyang Chen, Yinghui Wu, Arijit Khan, Xiangyu Ke |
| 2026 | Evidential Mixture-of-Experts for Sentiment Regression. | Yankai Yu, Zhuyang Xie, Xiaofan Li, Yan Yang, Bo Peng, Yu He |
| 2026 | Federated Latent Factor Learning for Privacy-Preserving Spatio-Temporal Signal Recovery. | Chengjun Yu, Di Wu, Yi He, Jia Chen, Xin Luo |
| 2026 | When Rules Fall Short: Agent-Driven Discovery of Emerging Content Issues in Short Video Platforms. | Chenghui Yu, Hongwei Wang, Junwen Chen, Zixuan Wang, Bingfeng Deng, Zhuolin Hao, Hongyu Xiong, Yang Song |
| 2026 | PIGCN: Physics-Inspired Graph Convolution Networks for Heterogeneous Social Event Detection. | Yongsheng Yu, Congbo Ma, Zitai Qiu, Shan Xue, Jian Yang, Jia Wu |
| 2026 | Generalized Incremental Learning under Concept Drift across Evolving Data Streams. | En Yu, Jie Lu, Guangquan Zhang |
| 2026 | PIXEL: Adaptive Steering Via Position-wise Injection with eXact Estimated Levels under a Subspace Calibration. | Manjiang Yu, Hongji Li, Priyanka Singh, Xue Li, Di Wang, Lijie Hu |
| 2026 | Retrieval Collapses When AI Pollutes the Web. | Hongyeon Yu, Dongchan Kim, Young-Bum Kim |
| 2026 | Integrated Mixture of Neighborhood and Community Experts for Graph-Based Fraud Detection. | Zhizhi Yu, Di Jin, Dongxiao He, Wenhuan Lu, Jianguo Wei |
| 2026 | Missingness-aware Federated Contrastive Learning on Semantic Graphs. | Shuo Yu, Zhuoyang Han, Guoqing Han, Tao Tang, Feng Ding, Qiang Zhang |
| 2026 | ThinkRec: Thinking-based recommendation via LLM. | Qihang Yu, Kairui Fu, Zheqi Lv, Shengyu Zhang, Xinhui Wu, Chen Lin, Feng Wei, Bo Zheng, Fei Wu |
| 2026 | Sharpness-Aware Minimization for Generalized Embedding Learning in Federated Recommendation. | Fengyuan Yu, Xiaohua Feng, Yuyuan Li, Changwang Zhang, Jun Wang, Chaochao Chen |
| 2026 | HeteroSim: Towards High-Fidelity Heterogeneous LLM Training Simulation on GPUs. | Xiaofei Yue, Fangming Zhao, Fulun Ye, Jiongchi Yu, Zhaoxuan Li, Tingting Li, Ziming Zhao, Jianwei Yin |
| 2026 | We May Not Need Much Visual Encoding of Web Data for Question Answering. | Tan Yue, Qiong Wu, Dongyan Zhao |
| 2026 | Difference-based Sample Selection for Federated Graph Rationalization. | Linan Yue, Weibo Gao |
| 2026 | MemWeaver: A Hierarchical Memory from Textual Interactive Behaviors for Personalized Generation. | Shuo Yu, Mingyue Cheng, Daoyu Wang, Qi Liu, Zirui Liu, Ze Guo, Xiaoyu Tao |
| 2026 | Prototype Augmentation-based Edge-end Heterogeneous Collaborative Learning. | Enze Yu, Penghuan Cheng, Haipeng Dai, Haihan Zhang, Sujin Hou, Meng Li, Zhenzhe Zheng, Qiang He, Guihai Chen |
| 2026 | SeaRAG: Reducing Hallucination in Retrieval-Augmented Generation via Statement-Entity Adaptive Ranking. | Xiaosong Yuan, Xiaofeng Zhang, Di Zhao, Yijia Zhang, Ying Wang |
| 2026 | RAG-GFM: Overcoming In-Memory Bottlenecks in Graph Foundation Models via Retrieval-Augmented Generation. | Haonan Yuan, Qingyun Sun, Jiacheng Tao, Xingcheng Fu, Jianxin Li |
| 2026 | RobustReviewAI: A Robustness Evaluation System for AI-Powered Peer Review. | Siming Yuan, Yuchen Liu, Qinan Zheng, Wangze Ni, Shimin Di, Lei Chen, Kui Ren |
| 2026 | Kardia-R1: Unleashing LLMs to Reason toward Understanding and Empathy for Emotional Support via Rubric-as-Judge Reinforcement Learning. | Jiahao Yuan, Zhiqing Cui, Hanqing Wang, Yuansheng Gao, Yucheng Zhou, Usman Naseem |
| 2026 | Physics-Aware Multimodal Urban Heat Mapping with Open Web Imagery and Mobility Data. | Yuanyi You, Yunke Zhang, Yong Li |