| 2022 | Analyzing and Simulating User Utterance Reformulation in Conversational Recommender Systems. | Shuo Zhang, Mu-Chun Wang, Krisztian Balog |
| 2022 | SparCAssist: A Model Risk Assessment Assistant Based on Sparse Generated Counterfactuals. | Zijian Zhang, Vinay Setty, Avishek Anand |
| 2022 | HAKG: Hierarchy-Aware Knowledge Gated Network for Recommendation. | Yuntao Du, Xinjun Zhu, Lu Chen, Baihua Zheng, Yunjun Gao |
| 2022 | Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering. | Minghao Zhao, Le Wu, Yile Liang, Lei Chen, Jian Zhang, Qilin Deng, Kai Wang, Xudong Shen, Tangjie Lv, Runze Wu |
| 2022 | Recent Advances in Retrieval-Augmented Text Generation. | Deng Cai, Yan Wang, Lemao Liu, Shuming Shi |
| 2022 | Assessing Scientific Research Papers with Knowledge Graphs. | Kexuan Sun, Zhiqiang Qiu, Abel Salinas, Yuzhong Huang, Dong-Ho Lee, Daniel Benjamin, Fred Morstatter, Xiang Ren, Kristina Lerman, Jay Pujara |
| 2022 | GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignment. | Junseok Lee, Yunhak Oh, Yeonjun In, Namkyeong Lee, Dongmin Hyun, Chanyoung Park |
| 2022 | An MLP-based Algorithm for Efficient Contrastive Graph Recommendations. | Siwei Liu, Iadh Ounis, Craig Macdonald |
| 2022 | Mutual Disentanglement Learning for Joint Fine-Grained Sentiment Classification and Controllable Text Generation. | Hao Fei, Chenliang Li, Donghong Ji, Fei Li |
| 2022 | Conversational Information Seeking: Theory and Application. | Jeffrey Dalton, Sophie Fischer, Paul Owoicho, Filip Radlinski, Federico Rossetto, Johanne R. Trippas, Hamed Zamani |
| 2022 | Offline Retrieval Evaluation Without Evaluation Metrics. | Fernando Diaz, Andres Ferraro |
| 2022 | Exploring Modular Task Decomposition in Cross-domain Named Entity Recognition. | Xinghua Zhang, Bowen Yu, Yubin Wang, Tingwen Liu, Taoyu Su, Hongbo Xu |
| 2021 | Unsupervised Ensemble Learning with Noisy Label Correction. | Xupeng Zou, Zhongnan Zhang, Zhen He, Liang Shi |
| 2021 | FedCMR: Federated Cross-Modal Retrieval. | Linlin Zong, Qiujie Xie, Jiahui Zhou, Peiran Wu, Xianchao Zhang, Bo Xu |
| 2021 | DepressionNet: Learning Multi-modalities with User Post Summarization for Depression Detection on Social Media. | Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu |
| 2021 | Leveraging Lead Bias for Zero-shot Abstractive News Summarization. | Chenguang Zhu, Ziyi Yang, Robert Gmyr, Michael Zeng, Xuedong Huang |
| 2021 | Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks. | Yongchun Zhu, Ruobing Xie, Fuzhen Zhuang, Kaikai Ge, Ying Sun, Xu Zhang, Leyu Lin, Juan Cao |
| 2021 | Automated Graph Learning via Population Based Self-Tuning GCN. | Ronghang Zhu, Zhiqiang Tao, Yaliang Li, Sheng Li |
| 2021 | Proactive Retrieval-based Chatbots based on Relevant Knowledge and Goals. | Yutao Zhu, Jian-Yun Nie, Kun Zhou, Pan Du, Hao Jiang, Zhicheng Dou |
| 2021 | Communication Efficient Distributed Hypergraph Clustering. | Chun Jiang Zhu, Qinqing Liu, Jinbo Bi |
| 2021 | Fairness among New Items in Cold Start Recommender Systems. | Ziwei Zhu, Jingu Kim, Trung Nguyen, Aish Fenton, James Caverlee |
| 2021 | Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users. | Yongchun Zhu, Kaikai Ge, Fuzhen Zhuang, Ruobing Xie, Dongbo Xi, Xu Zhang, Leyu Lin, Qing He |
| 2021 | ECG Data Modeling and Analyzing via Deep Representation Learning and Nonparametric Hidden Markov Models. | Jiaojiao Zhu, Wentao Fan |
| 2021 | TILDE: Term Independent Likelihood moDEl for Passage Re-ranking. | Shengyao Zhuang, Guido Zuccon |
| 2021 | How do Online Learning to Rank Methods Adapt to Changes of Intent? | Shengyao Zhuang, Guido Zuccon |