| 2026 | CEAT: Context-Emotion Adversarial Training Framework for Robust Emotion-Driven Fraud Detection. | Chaoqun Li, Si Wu, Yijun Lu, Yuyin Ma, Jinyao Liu, Dingyi Jia, Mingda Han, Feng Li, Pengfei Hu |
| 2026 | Triple-R: Iterative Query Rewriting and Refinement for Retrieval-Augmented Fake News Detection. | Jie Li, Jinrui Wang, Linmei Hu, Yuqiu Deng |
| 2026 | Multi-view Semantic Contrastive Alignment for Multimodal Recommendation. | Jiuqiang Li, Hongjun Wang |
| 2026 | Deepfakes in the 2025 Canadian Election: Prevalence, Partisanship, and Platform Dynamics. | Victor Livernoche, Andreea Musulan, Zachary Yang, Jean-Franois Godbout, Reihaneh Rabbany |
| 2026 | ShadowClone: Scalable Decentralized Identity with Cross-Domain Anonymity and Accountable Traceability. | Yizhong Liu, Zedan Zhao, Boyu Zhao, Na Wang, Haojun Tan, Jianwei Liu |
| 2026 | Quantum-Safe, Efficient, and AI-Enhanced Blockchains for the Web: A Cooperative Tutorial on Quantum Computing, Blockchain Applications, and Data Standards. | Dongping Liu, Aoyu Zhang, Luyao Zhang |
| 2026 | RegimeGuard: Continual Learning Queue Scheduling for Socially Critical Web Services. | Zhipeng Liu, Ziming Zhao, Fan Zhang |
| 2026 | DiffGRM: Diffusion-based Generative Recommendation Model. | Zhao Liu, Yichen Zhu, Yiqing Yang, Xiao Lv, Guoping Tang, Rui Huang, Qiang Luo, Ruiming Tang, Guorui Zhou |
| 2026 | Embedding Enhancement via Fine-Tuned Language Models for Learner-Item Cognitive Modeling. | Yuanhao Liu, Zihan Zhou, Kaiying Wu, Shuo Liu, Yiyang Huang, Jiajun Guo, Aimin Zhou, Hong Qian |
| 2026 | Weighted Graph Clustering via Scale Contraction and Graph Structure Learning. | Haobing Liu, Yinuo Zhang, Tingting Wang, Ruobing Jiang, Yanwei Yu |
| 2026 | Towards Practical LLM Unlearning: Efficient, Modular, and Retain-Free. | Peng Liu, Peng-Fei Zhang, Jianfeng Qu, Ximing Li, Zhixu Li, Pengpeng Zhao |
| 2026 | Facilitating Generative Retrieval with Logical Denoising for Interpretable Conversational Search. | Qichuan Liu, Chentao Zhang, Yuxuan Hu, Chenfeng Zheng, Qinggang Zhang, Zhihong Zhang |
| 2026 | Dj Vu of Strange Stickers! Enhancing Out-of-Distribution Robustness in Sticker Retrieval via Cross-Modal Intent Alignment. | Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Changjiang Zhou, Fan Zhang, Yinhu Zhao |
| 2026 | Predictability-Aware Compression and Decompression Framework for Multichannel Time Series Data with Latent Seasonality. | Ziqi Liu, Pei Zeng, Yi Ding |
| 2026 | Hi-GMAE: Hierarchical Graph Masked Autoencoders. | Chuang Liu, Zelin Yao, Xueqi Ma, Mukun Chen, Luzhi Wang, Jia Wu, Wenbin Hu |
| 2026 | Enhancing Trusted Multi-View Classification via Adaptive Regularization Guided by View-Specific Biases. | Zhiyuan Liu, Xiaodong Yue, Yufei Chen, Shijie Ding, Jie Shi |
| 2026 | SEP-Attack: A Simple and Effective Paradigm for Transfer-Based Textual Adversarial Attack. | Han Liu, Zhi Xu, Xiaotong Zhang, Feng Zhang, Xiaoming Xu, Wei Wang, Fenglong Ma, Hong Yu |
| 2026 | TravelReasoner: Leveraging Large Reasoning Models to Address Mobility Data Gap. | Peijie Liu, Fengli Xu, Yong Li |
| 2026 | Mitigating Homophily Disparity in Graph Anomaly Detection: A Scalable and Adaptive Approach. | Yunhui Liu, Qizhuo Xie, Yinfeng Chen, Xudong Jin, Tao Zheng, Bin Chong, Tieke He |
| 2026 | A Structure-Agnostic Co-Tuning Framework for LLMs and SLMs in Cloud-Edge Systems. | Yuze Liu, Yunhan Wang, Tiehua Zhang, Zhishu Shen, Cheng Peng, Libing Wu, Feng Xia, Jiong Jin |
| 2026 | Rethinking the Hidden Risk of Reranking: Achieving Risk-aware Reranking with Information Gain for RAG with LLMs. | Zhizhao Liu, Zhihua Wen, Zhiliang Tian, Zhen Huang, Miaorong Zhu, Zimian Wei, Yifu Gao, Liang Ding, Dongsheng Li |
| 2026 | BeeQoS: A Cloud-Native QoS System for Adaptive and Scalable Multi-Priority Bandwidth Guarantees. | Jinyao Liu, Si Wu, Haoyuan Ma, Chaoqun Li, Hongjing Yu, Dingyi Jia, Feng Li, Pengfei Hu |
| 2026 | From Entity Reliability to Clean Feedback: An Entity-Aware Denoising Framework Beyond Interaction-Level Signals. | Ze Liu, Xianquan Wang, Shuochen Liu, Jie Ma, Huibo Xu, Yupeng Han, Kai Zhang, Jun Zhou |
| 2026 | Identifying and Upweighting Power-Niche Users to Mitigate Popularity Bias in Recommendations. | David Liu, Erik Weis, Moritz Laber, Tina Eliassi-Rad, Brennan Klein |
| 2026 | Audit?of?Audits for the Web: Bayesian Meta?Evaluation that Yields Interval?Valued, Threshold?Aligned Fairness Claims. | Dandan Liu, Aznul Qalid Md Sabri, Lihu Pan, Guangrui Fan |