| 2024 | UniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Models. | Qi Liu, Yongyi He, Tong Xu, Defu Lian, Che Liu, Zhi Zheng, Enhong Chen |
| 2024 | CheckGuard: Advancing Stolen Check Detection with a Cross-Modal Image-Text Benchmark Dataset. | Fei Zhao, Jiawen Chen, Bin Huang, Chengcui Zhang, Gary Warner |
| 2024 | Sequential Optimum Test with Multi-armed Bandits for Online Experimentation. | Fang Kong, Penglei Zhao, Shichao Han, Yong Wang, Shuai Li |
| 2024 | Leveraging Large Language Models for Improving Keyphrase Generation for Contextual Targeting. | Xiao Bai, Xue Wu, Ivan Stojkovic, Kostas Tsioutsiouliklis |
| 2024 | In Situ Answer Sentence Selection at Web-scale. | Zeyu Zhang, Thuy Vu, Alessandro Moschitti |
| 2024 | On Evaluation Metrics for Diversity-enhanced Recommendations. | Xueqi Li, Gao Cong, Guoqing Xiao, Yang Xu, Wenjun Jiang, Kenli Li |
| 2024 | Bridging Knowledge Gaps in LLMs via Function Calls. | Kinjal Basu |
| 2024 | Generating Cross-model Analytics Workloads Using LLMs. | Xiuwen Zheng, Arun Kumar, Amarnath Gupta |
| 2024 | Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation. | Weizhi Zhang, Liangwei Yang, Zihe Song, Henry Peng Zou, Ke Xu, Liancheng Fang, Philip S. Yu |
| 2024 | Systems for Scalable Graph Analytics and Machine Learning: Trends and Methods. | Da Yan, Lyuheng Yuan, Akhlaque Ahmad, Saugat Adhikari |
| 2024 | Professionalism-Aware Pre-Finetuning for Profitability Ranking. | Chung-Chi Chen, Hiroya Takamura, Ichiro Kobayashi, Yusuke Miyao |
| 2024 | Veracity Estimation for Entity-Oriented Search with Knowledge Graphs. | Stefano Marchesin, Gianmaria Silvello, Omar Alonso |
| 2024 | Revisiting Optimal Window Aggregation in Data Streams: The Prefix-Sum Approach. | Jos Martinez, Guillaume Raschia |
| 2024 | Adaptive Cascading Network for Continual Test-Time Adaptation. | Kien X. Nguyen, Fengchun Qiao, Xi Peng |
| 2024 | Practical and Robust Safety Guarantees for Advanced Counterfactual Learning to Rank. | Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke |
| 2024 | Mining Path Association Rules in Large Property Graphs. | Yuya Sasaki, Panagiotis Karras |
| 2024 | Information Retrieval Optimization for Non-Exemplar Class Incremental Learning. | Shuai Guo, Yang Gu, Yuan Ma, Yingwei Zhang, Weining Weng, Jun Liu, Weiwei Dai, Yiqiang Chen |
| 2024 | Multiscale Representation Enhanced Temporal Flow Fusion Model for Long-Term Workload Forecasting. | Shiyu Wang, Zhixuan Chu, Yinbo Sun, Yu Liu, Yuliang Guo, Yang Chen, Huiyang Jian, Lintao Ma, Xingyu Lu, Jun Zhou |
| 2024 | Inferring Visualization Intent from Conversation. | Haotian Li, Nithin Chalapathi, Huamin Qu, Alvin Cheung, Aditya G. Parameswaran |
| 2024 | Chain-of-Layer: Iteratively Prompting Large Language Models for Taxonomy Induction from Limited Examples. | Qingkai Zeng, Yuyang Bai, Zhaoxuan Tan, Shangbin Feng, Zhenwen Liang, Zhihan Zhang, Meng Jiang |
| 2024 | Self-Supervision Improves Diffusion Models for Tabular Data Imputation. | Yixin Liu, Thalaiyasingam Ajanthan, Hisham Husain, Vu Nguyen |
| 2024 | Towards Effective Fusion and Forecasting of Multimodal Spatio-temporal Data for Smart Mobility. | Chenxing Wang |
| 2024 | Seeing the Forest for the Trees: Road-Level Insights Assisted Lane-Level Traffic Prediction. | Shuhao Li, Yue Cui, Jingyi Xu, Jing Zhao, Fan Zhang, Weidong Yang, Xiaofang Zhou |
| 2024 | Prompt-Based Spatio-Temporal Graph Transfer Learning. | Junfeng Hu, Xu Liu, Zhencheng Fan, Yifang Yin, Shili Xiang, Savitha Ramasamy, Roger Zimmermann |
| 2023 | DeepTagger: Knowledge Enhanced Named Entity Recognition for Web-Based Ads Queries. | Simiao Zuo, Pengfei Tang, Xinyu Hu, Qiang Lou, Jian Jiao, Denis Charles |