| 2025 | Leveraging Passage Embeddings for Efficient Listwise Reranking with Large Language Models. | Qi Liu, Bo Wang, Nan Wang, Jiaxin Mao |
| 2025 | Know When to Fold: Futility-Aware Early Termination in Online Experiments. | Yu Liu, Runzhe Wan, Yian Huang, James McQueen, Doug Hains, Jinxiang Gu, Rui Song |
| 2025 | Transfer Rule Learning over Large Knowledge Graphs. | Hong Liu, Zhe Wang, Kewen Wang, Xiaowang Zhang, Zhiyong Feng |
| 2025 | MERA: Mixture of Experts with Retrieval-Augmented Representation for Modeling Diversified Stock Patterns. | YuJun Liu, Chen-Hui Song, Peiyuan Liu, Naiqi Li, Tao Dai, Jigang Bao, Yong Jiang, Shu-Tao Xia |
| 2025 | Beyond Node Condensation: Learning Tiny Graphs via Joint Graph Condensation. | Yezi Liu, Yanning Shen |
| 2025 | Filtering Discomforting Recommendations with Large Language Models. | Jiahao Liu, Yiyang Shao, Peng Zhang, Dongsheng Li, Hansu Gu, Chao Chen, Longzhi Du, Tun Lu, Ning Gu |
| 2025 | Multi-Granularity Augmented Graph Learning for Spoofing Transaction Detection. | Xin Liu, Haojun Rui, Dawei Cheng, Li Han, Zhongyun Zhou, Guoping Zhao |
| 2025 | Multimodal Semantic Retrieval for Product Search. | Dong Liu, Esther Lopez Ramos |
| 2025 | Hyperbolic Variational Graph Auto-Encoder for Next POI Recommendation. | Yuwen Liu, Lianyong Qi, Xingyuan Mao, Weiming Liu, Fan Wang, Xiaolong Xu, Xuyun Zhang, Wanchun Dou, Xiaokang Zhou, Amin Beheshti |
| 2025 | Fitting Into Any Shape: A Flexible LLM-Based Re-Ranker With Configurable Depth and Width. | Zheng Liu, Chaofan Li, Shitao Xiao, Chaozhuo Li, Chen Jason Zhang, Hao Liao, Defu Lian, Yingxia Shao |
| 2025 | Unraveling Spatial-Temporal and Out-of-Distribution Patterns for Multivariate Time Series Classification. | Xiao Liu, Yan Li, Haishuai Wang |
| 2025 | Modality Interactive Mixture-of-Experts for Fake News Detection. | Yifan Liu, Yaokun Liu, Zelin Li, Ruichen Yao, Yang Zhang, Dong Wang |
| 2025 | Optimizing Revenue through User Coupon Recommendations in Truthful Online Ad Auctions. | Xiaodong Liu, Xiao Lin, Yiming Ding, Changcheng Li, Peng Jiang, Weiran Shen |
| 2025 | Subgraph Federated Unlearning. | Fan Liu, Hao Liu |
| 2025 | Multimodal Intent Recognition in E-Commerce: Challenges, Innovations, and Lightweight Solutions. | Junwen Liu, Haikuan Huang, Gang Huang, Shuang Ge, Jinlian Hu |
| 2025 | OntoTune: Ontology-Driven Self-training for Aligning Large Language Models. | Zhiqiang Liu, Chengtao Gan, Junjie Wang, Yichi Zhang, Zhongpu Bo, Mengshu Sun, Huajun Chen, Wen Zhang |
| 2025 | Exploring Multimodal Pre-trained Models for Speech Emotion Recognition. | Zhiyu Liu, Junchen Fu, Kaiwen Zheng, Joemon M. Jose |
| 2025 | Legommenders: A Comprehensive Content-Based Recommendation Library with LLM Support. | Qijiong Liu, Lu Fan, Xiao-Ming Wu |
| 2025 | The First Early Evidence of the Use of Browser Fingerprinting for Online Tracking. | Zengrui Liu, Jimmy Dani, Yinzhi Cao, Shujiang Wu, Nitesh Saxena |
| 2025 | The AI Revolution in Time Series: Challenges and Opportunites. | Yan Liu |
| 2025 | ModalSync: Synchronizing User Behavior with Multimodal Features for Multimodal Pre-training Recommendation. | Shiqin Liu, Chaozhuo Li, Minjun Zhao, Litian Zhang, Jiajun Bu |
| 2025 | Enabling Real-Time Inference in Online Continual Learning via Device-Cloud Collaboration. | Haibo Liu, Chen Gong, Zhenzhe Zheng, Shengzhong Liu, Fan Wu |
| 2025 | Uncovering Cross-Domain Recommendation Ability of Large Language Models. | Xinyi Liu, Ruijie Wang, Dachun Sun, Dilek Hakkani-Tr, Tarek F. Abdelzaher |
| 2025 | White Admitted by Stanford, Black Got Rejections: Exploring Racial Stereotypes in Text-to-Image Generation from a College Admissions Lens. | Yezi Liu, Wenjun Huang, Yang Ni, Hanning Chen, Mohsen Imani |
| 2025 | PhishIntel: Toward Practical Deployment of Reference-Based Phishing Detection. | Yuexin Li, Hiok Kuek Tan, Qiaoran Meng, Mei Lin Lock, Tri Cao, Shumin Deng, Nay Oo, Hoon Wei Lim, Bryan Hooi |