| 2023 | A Consumer Compensation System in Ride-hailing Service. | Zhe Yu, Chi Xia, Shaosheng Cao, Lin Zhou, Haibin Huang |
| 2023 | EDIndex: Enabling Fast Data Queries in Edge Storage Systems. | Qiang He, Siyu Tan, Feifei Chen, Xiaolong Xu, Lianyong Qi, Xinhong Hei, Hai Jin, Yun Yang |
| 2023 | HiPrompt: Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting. | Jiaying Lu, Jiaming Shen, Bo Xiong, Wenjing Ma, Steffen Staab, Carl Yang |
| 2023 | LADER: Log-Augmented DEnse Retrieval for Biomedical Literature Search. | Qiao Jin, Andrew Shin, Zhiyong Lu |
| 2023 | Long-Form Information Retrieval for Enterprise Matchmaking. | Pengyuan Li, Guang-Jie Ren, Anna Lisa Gentile, Chad DeLuca, Daniel Tan, Sandeep Gopisetty |
| 2023 | Subgraph Search over Neural-Symbolic Graphs. | Ye Yuan, Delong Ma, Anbiao Wu, Jianbin Qin |
| 2023 | U-NEED: A Fine-grained Dataset for User Needs-Centric E-commerce Conversational Recommendation. | Yuanxing Liu, Weinan Zhang, Baohua Dong, Yan Fan, Hang Wang, Fan Feng, Yifan Chen, Ziyu Zhuang, Hengbin Cui, Yongbin Li, Wanxiang Che |
| 2023 | Representation and Labeling Gap Bridging for Cross-lingual Named Entity Recognition. | Xinghua Zhang, Bowen Yu, Jiangxia Cao, Quangang Li, Xuebin Wang, Tingwen Liu, Hongbo Xu |
| 2022 | Improving Conversational Recommender Systems via Transformer-based Sequential Modelling. | Jie Zou, Evangelos Kanoulas, Pengjie Ren, Zhaochun Ren, Aixin Sun, Cheng Long |
| 2022 | Automatic Expert Selection for Multi-Scenario and Multi-Task Search. | Xinyu Zou, Zhi Hu, Yiming Zhao, Xuchu Ding, Zhongyi Liu, Chenliang Li, Aixin Sun |
| 2022 | Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System. | Ding Zou, Wei Wei, Xian-Ling Mao, Ziyang Wang, Minghui Qiu, Feida Zhu, Xin Cao |
| 2022 | Generalizing to the Future: Mitigating Entity Bias in Fake News Detection. | Yongchun Zhu, Qiang Sheng, Juan Cao, Shuokai Li, Danding Wang, Fuzhen Zhuang |
| 2022 | LoL: A Comparative Regularization Loss over Query Reformulation Losses for Pseudo-Relevance Feedback. | Yunchang Zhu, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng |
| 2022 | Enhancing Zero-Shot Stance Detection via Targeted Background Knowledge. | Qinglin Zhu, Bin Liang, Jingyi Sun, Jiachen Du, Lanjun Zhou, Ruifeng Xu |
| 2022 | Progressive Self-Attention Network with Unsymmetrical Positional Encoding for Sequential Recommendation. | Yuehua Zhu, Bo Huang, Shaohua Jiang, Muli Yang, Yanhua Yang, Wenliang Zhong |
| 2022 | BARS: Towards Open Benchmarking for Recommender Systems. | Jieming Zhu, Quanyu Dai, Liangcai Su, Rong Ma, Jinyang Liu, Guohao Cai, Xi Xiao, Rui Zhang |
| 2022 | NAS-CTR: Efficient Neural Architecture Search for Click-Through Rate Prediction. | Guanghui Zhu, Feng Cheng, Defu Lian, Chunfeng Yuan, Yihua Huang |
| 2022 | Asyncval: A Toolkit for Asynchronously Validating Dense Retriever Checkpoints During Training. | Shengyao Zhuang, Guido Zuccon |
| 2022 | CharacterBERT and Self-Teaching for Improving the Robustness of Dense Retrievers on Queries with Typos. | Shengyao Zhuang, Guido Zuccon |
| 2022 | Implicit Feedback for Dense Passage Retrieval: A Counterfactual Approach. | Shengyao Zhuang, Hang Li, Guido Zuccon |
| 2022 | A Robust Computerized Adaptive Testing Approach in Educational Question Retrieval. | Yan Zhuang, Qi Liu, Zhenya Huang, Zhi Li, Binbin Jin, Haoyang Bi, Enhong Chen, Shijin Wang |
| 2022 | Re-thinking Knowledge Graph Completion Evaluation from an Information Retrieval Perspective. | Ying Zhou, Xuanang Chen, Ben He, Zheng Ye, Le Sun |
| 2022 | PERD: Personalized Emoji Recommendation with Dynamic User Preference. | Xuanzhi Zheng, Guoshuai Zhao, Li Zhu, Xueming Qian |
| 2022 | HIEN: Hierarchical Intention Embedding Network for Click-Through Rate Prediction. | Zuowu Zheng, Changwang Zhang, Xiaofeng Gao, Guihai Chen |
| 2022 | Explainable Session-based Recommendation with Meta-path Guided Instances and Self-Attention Mechanism. | Jiayin Zheng, Juanyun Mai, Yanlong Wen |