| 2024 | ELF-Gym: Evaluating Large Language Models Generated Features for Tabular Prediction. | Yanlin Zhang, Ning Li, Quan Gan, Weinan Zhang, David Wipf, Minjie Wang |
| 2024 | Meta-Prompt Tuning Vision-Language Model for Multi-Label Few-Shot Image Recognition. | Feng Zhang, Wei Chen, Fei Ding, Tengjiao Wang, Dawei Lu, Jiabin Zheng |
| 2024 | Watermarking Recommender Systems. | Sixiao Zhang, Cheng Long, Wei Yuan, Hongxu Chen, Hongzhi Yin |
| 2024 | Learn From Mistakes: Guidance on Zero-shot Conversational Text-to-SQL. | Wenshuo Zhai, Xiang Zhao, Jinzhi Liao, Ziyang Chen |
| 2024 | Benchmarking Challenges for Temporal Knowledge Graph Alignment. | Weixin Zeng, Jie Zhou, Xiang Zhao |
| 2024 | Dual-level Intents Modeling for Knowledge-aware Recommendation. | Jin Zeng, Nan Wang, Jinbao Li |
| 2024 | On the Fly Detection of Root Causes from Observed Data with Application to IT Systems. | Lei Zan, Charles K. Assaad, Emilie Devijver, ric Gaussier, Ali At-Bachir |
| 2024 | Causal Discovery from Heterogenous Multivariate Time Series. | Lei Zan |
| 2024 | Using Distributed Ledgers To Build Knowledge Graphs For Decentralized Computing Ecosystems. | Tarek Zaarour, Ahmed Khalid, Preeja Pradeep, Ahmed H. Zahran |
| 2024 | DAMe: Personalized Federated Social Event Detection with Dual Aggregation Mechanism. | Xiaoyan Yu, Yifan Wei, Pu Li, Shuaishuai Zhou, Hao Peng, Li Sun, Liehuang Zhu, Philip S. Yu |
| 2024 | XRDMamba: Large-scale Crystal Material Space Group Identification with Selective State Space Model. | Liheng Yu, Pengkun Wang, Zhe Zhao, Zhongchao Yi, Sun Nan, Di Wu, Yang Wang |
| 2024 | Time-Series Representation Learning via Dual Reference Contrasting. | Rui Yu, Yongshun Gong, Shoujin Wang, Jiasheng Si, Xueping Peng, Bing Xu, Wenpeng Lu |
| 2024 | Transformer Based Bayesian Network Embedding for Efficient Multiple Probabilistic Inferences. | Kun Yue, Zhiwei Qi, Liang Duan |
| 2024 | An End-to-End Reinforcement Learning Based Approach for Micro-View Order-Dispatching in Ride-Hailing. | Xinlang Yue, Yiran Liu, Fangzhou Shi, Sihong Luo, Chen Zhong, Min Lu, Zhe Xu |
| 2024 | Rethinking Attention Mechanism for Spatio-Temporal Modeling: A Decoupling Perspective in Traffic Flow Prediction. | Qi Yu, Weilong Ding, Hao Zhang, Yang Yang, Tianpu Zhang |
| 2024 | MMLRec: A Unified Multi-Task and Multi-Scenario Learning Benchmark for Recommendation. | Guanghu Yuan, Jieyu Yang, Shujie Li, Mingjie Zhong, Ang Li, Ke Ding, Yong He, Min Yang, Liang Zhang, Xiaolu Zhang, Linjian Mo |
| 2024 | GraphCBAL: Class-Balanced Active Learning for Graph Neural Networks via Reinforcement Learning. | Chengcheng Yu, Jiapeng Zhu, Xiang Li |
| 2024 | GaQR: An Efficient Generation-augmented Question Rewriter. | Oliver Young, Yixing Fan, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Xueqi Cheng |
| 2024 | Forecasting Live Chat Intent from Browsing History. | Se-eun Yoon, Ahmad Bin Rabiah, Zaid Alibadi, Surya Kallumadi, Julian J. McAuley |
| 2024 | Debiased Graph Poisoning Attack via Contrastive Surrogate Objective. | Kanghoon Yoon, Yeonjun In, Namkyeong Lee, Kibum Kim, Chanyoung Park |
| 2024 | CKNN: Cleansed k-Nearest Neighbor for Unsupervised Video Anomaly Detection. | Jihun Yi, Sungroh Yoon |
| 2024 | Revolutionizing Biomarker Discovery: Leveraging Generative AI for Bio-Knowledge-Embedded Continuous Space Exploration. | Wangyang Ying, Dongjie Wang, Xuanming Hu, Ji Qiu, Jin Park, Yanjie Fu |
| 2024 | Voting with Generative AI for German Compound Splitting in E-commerce Search. | mit Yilmaz, Kilian Merkelbach, Daniel Stein, Hasan Oezkan |
| 2024 | Prioritized Binary Transformation Method for Efficient Multi-label Classification of Data Streams with Many Labels. | Onur Yildirim, Sepehr Bakhshi, Fazli Can |
| 2024 | myCADI: my Contextual Anomaly Detection using Isolation. | Vronne Yepmo, Grgory Smits |