| 2023 | A Bird's-eye View of Reranking: From List Level to Page Level. | Yunjia Xi, Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Rui Zhang, Ruiming Tang, Yong Yu |
| 2023 | Modeling Fine-grained Information via Knowledge-aware Hierarchical Graph for Zero-shot Entity Retrieval. | Taiqiang Wu, Xingyu Bai, Weigang Guo, Weijie Liu, Siheng Li, Yujiu Yang |
| 2023 | Visual Matching is Enough for Scene Text Retrieval. | Lilong Wen, Yingrong Wang, Dongxiang Zhang, Gang Chen |
| 2023 | Generalizing Graph Neural Network across Graphs and Time. | Zhihao Wen |
| 2023 | AntTS: A Toolkit for Time Series Forecasting in Industrial Scenarios. | Jianping Wei, Zhibo Zhu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou |
| 2023 | CLNode: Curriculum Learning for Node Classification. | Xiaowen Wei, Xiuwen Gong, Yibing Zhan, Bo Du, Yong Luo, Wenbin Hu |
| 2023 | Reducing Negative Effects of the Biases of Language Models in Zero-Shot Setting. | Xiaosu Wang, Yun Xiong, Beichen Kang, Yao Zhang, Philip S. Yu, Yangyong Zhu |
| 2023 | Knowledge-Adaptive Contrastive Learning for Recommendation. | Hao Wang, Yao Xu, Cheng Yang, Chuan Shi, Xin Li, Ning Guo, Zhiyuan Liu |
| 2023 | CL4CTR: A Contrastive Learning Framework for CTR Prediction. | Fangye Wang, Yingxu Wang, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu |
| 2023 | MeSH Suggester: A Library and System for MeSH Term Suggestion for Systematic Review Boolean Query Construction. | Shuai Wang, Hang Li, Guido Zuccon |
| 2023 | AGREE: Aligning Cross-Modal Entities for Image-Text Retrieval Upon Vision-Language Pre-trained Models. | Xiaodan Wang, Lei Li, Zhixu Li, Xuwu Wang, Xiangru Zhu, Chengyu Wang, Jun Huang, Yanghua Xiao |
| 2023 | Improving News Recommendation with Channel-Wise Dynamic Representations and Contrastive User Modeling. | Jingkun Wang, Yongtao Jiang, Haochen Li, Wen Zhao |
| 2023 | Uncertainty Quantification for Fairness in Two-Stage Recommender Systems. | Lequn Wang, Thorsten Joachims |
| 2023 | Graph Explicit Neural Networks: Explicitly Encoding Graphs for Efficient and Accurate Inference. | Yiwei Wang, Bryan Hooi, Yozen Liu, Neil Shah |
| 2023 | Few-shot Node Classification with Extremely Weak Supervision. | Song Wang, Yushun Dong, Kaize Ding, Chen Chen, Jundong Li |
| 2023 | Heterogeneous Graph-based Context-aware Document Ranking. | Shuting Wang, Zhicheng Dou, Yutao Zhu |
| 2023 | A Multi-graph Fusion Based Spatiotemporal Dynamic Learning Framework. | Xu Wang, Lianliang Chen, Hongbo Zhang, Pengkun Wang, Zhengyang Zhou, Yang Wang |
| 2023 | Effective Graph Kernels for Evolving Functional Brain Networks. | Xinlei Wang, Jinyi Chen, Bing Tian Dai, Junchang Xin, Yu Gu, Ge Yu |
| 2023 | BLADE: Biased Neighborhood Sampling based Graph Neural Network for Directed Graphs. | Srinivas Virinchi, Anoop Saladi |
| 2023 | Generating Explainable Product Comparisons for Online Shopping. | Nikhita Vedula, Marcus D. Collins, Eugene Agichtein, Oleg Rokhlenko |
| 2023 | 4th Crowd Science Workshop - CANDLE: Collaboration of Humans and Learning Algorithms for Data Labeling. | Dmitry Ustalov, Saiph Savage, Niels van Berkel, Yang Liu |
| 2023 | Variance-Minimizing Augmentation Logging for Counterfactual Evaluation in Contextual Bandits. | Aaron David Tucker, Thorsten Joachims |
| 2023 | Concept-Oriented Transformers for Visual Sentiment Analysis. | Quoc-Tuan Truong, Hady W. Lauw |
| 2023 | Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation. | Zhen Tian, Ting Bai, Zibin Zhang, Zhiyuan Xu, Kangyi Lin, Ji-Rong Wen, Wayne Xin Zhao |
| 2023 | Social Public Health Infrastructure for a Smart City Citizen Patient: Advances and Opportunities for AI Driven Disruptive Innovation. | Ankur Teredesai |