| 2024 | DP-FedFace: Privacy-Preserving Facial Recognition in Real Federated Scenarios. | Wenjing Wang, Si Li |
| 2024 | Behavior-aware Sparse Trajectory Recovery in Last-mile Delivery with Multi-scale Attention Fusion. | Hai Wang, Shuai Wang, Li Lin, Yu Yang, Shuai Wang, Hongkai Wen |
| 2024 | Causal Probing for Dual Encoders. | Jonas Wallat, Hauke Hinrichs, Avishek Anand |
| 2024 | Advertiser Content Understanding via LLMs for Google Ads Safety. | Joseph Wallace, Tushar Dogra, Wei Qiao, Yuan Wang |
| 2024 | Osprey 🪶: A Reference Framework for Online Grooming Detection via Neural Models and Conversation Features. | Hamed Waezi, Reza Barzegar, Hossein Fani |
| 2024 | Is the Search Engine of the Future a Chatbot? | Suzan Verberne |
| 2024 | Knowledge Graphs for Responsible AI. | Edlira Vakaj, Nandana Mihindukulasooriya, Manas Gaur, Arijit Khan |
| 2024 | Over-penalization for Extra Information in Neural IR Models. | Kota Usuha, Makoto P. Kato, Sumio Fujita |
| 2024 | GAS-Norm: Score-Driven Adaptive Normalization for Non-Stationary Time Series Forecasting in Deep Learning. | Edoardo Urettini, Daniele Atzeni, Reshawn Ramjattan, Antonio Carta |
| 2024 | Harnessing Empathy and Ethics for Relevance Detection and Information Categorization in Climate and COVID-19 Tweets. | Apoorva Upadhyaya, Wolfgang Nejdl, Marco Fisichella |
| 2024 | "Reasoning before Responding": Towards Legal Long-form Question Answering with Interpretability. | Utkarsh Ujwal, Sai Sri Harsha Surampudi, Sayantan Mitra, Tulika Saha |
| 2024 | LINKin-PARK: Land Valuation Information and Knowledge in Predictive Analysis and Reporting Kit via Dual Attention-DCCNN. | Teng-Yuan Tsou, Shih-Yu Lai, Hsuan-Ching Chen, Jung-Tsang Yeh, Pei-Xuan Li, Tzu-Chang Lee, Hsun-Ping Hsieh |
| 2024 | Multi-Graph Explorer: A Framework for Advanced Multi-Graph Analysis and Method Development. | Yorgos Tsitsikas, Evangelos E. Papalexakis |
| 2024 | LTBoost: Boosted Hybrids of Ensemble Linear and Gradient Algorithms for the Long-term Time Series Forecasting. | Hubert Truchan, Christian Kalfar, Zahra Ahmadi |
| 2024 | Re-evaluating the Command-and-Control Paradigm in Conversational Search Interactions. | Johanne R. Trippas, Luke Gallagher, Joel Mackenzie |
| 2024 | STAR: Sparse Text Approach for Recommendation. | Anna Tigunova, Ghazaleh Haratinezhad Torbati, Andrew Yates, Gerhard Weikum |
| 2024 | MERLIN: Multimodal & Multilingual Embedding for Recommendations at Large-scale via Item Associations. | Sambeet Tiady, Arihant Jain, Dween Rabius Sanny, Khushi Gupta, Srinivas Virinchi, Swapnil Gupta, Anoop Saladi, Deepak Gupta |
| 2024 | Retrieval Augmented Deep Anomaly Detection for Tabular Data. | Hugo Thimonier, Fabrice Popineau, Arpad Rimmel, Bich-Lin Doan |
| 2024 | MEDFuse: Multimodal EHR Data Fusion with Masked Lab-Test Modeling and Large Language Models. | Phan Nguyen Minh Thao, Cong-Tinh Dao, Chenwei Wu, Jian-Zhe Wang, Shun Liu, Jun-En Ding, David S. Restrepo, Feng Liu, Fang-Ming Hung, Wen-Chih Peng |
| 2024 | Embedding Knowledge Graphs in Function Spaces. | Louis Mozart Kamdem Teyou, Caglar Demir, Axel-Cyrille Ngonga Ngomo |
| 2024 | Natural Language-Assisted Multi-modal Medication Recommendation. | Jie Tan, Yu Rong, Kangfei Zhao, Tian Bian, Tingyang Xu, Junzhou Huang, Hong Cheng, Helen Meng |
| 2024 | TEXT CAN BE FAIR: Mitigating Popularity Bias with PLMs by Learning Relative Preference. | Zuoli Tang, Zhaoxin Huan, Zihao Li, Shirui Hu, Xiaolu Zhang, Jun Zhou, Lixin Zou, Chenliang Li |
| 2024 | EasyST: A Simple Framework for Spatio-Temporal Prediction. | Jiabin Tang, Wei Wei, Lianghao Xia, Chao Huang |
| 2024 | LAMRec: Label-aware Multi-view Drug Recommendation. | Yunsen Tang, Ning Liu, Haitao Yuan, Yonghe Yan, Lei Liu, Weixing Tan, Lizhen Cui |
| 2024 | Towards Making Effective Machine Learning Decisions Against Out-of-Distribution Data. | Lakpa Dorje Tamang |