| 2023 | DREAM: Adaptive Reinforcement Learning based on Attention Mechanism for Temporal Knowledge Graph Reasoning. | Shangfei Zheng, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Wei Chen, Lei Zhao |
| 2023 | Delving into E-Commerce Product Retrieval with Vision-Language Pre-training. | Xiaoyang Zheng, Fuyu Lv, Zilong Wang, Qingwen Liu, Xiaoyi Zeng |
| 2023 | RHB-Net: A Relation-aware Historical Bridging Network for Text2SQL Auto-Completion. | Bolong Zheng, Lei Bi, Ruijie Xi, Lu Chen, Yunjun Gao, Xiaofang Zhou, Christian S. Jensen |
| 2023 | Building K-Anonymous User Cohorts with Consecutive Consistent Weighted Sampling (CCWS). | Xinyi Zheng, Weijie Zhao, Xiaoyun Li, Ping Li |
| 2023 | Time-interval Aware Share Recommendation via Bi-directional Continuous Time Dynamic Graphs. | Ziwei Zhao, Xi Zhu, Tong Xu, Aakas Lizhiyu, Yu Yu, Xueying Li, Zikai Yin, Enhong Chen |
| 2023 | Multi-grained Representation Learning for Cross-modal Retrieval. | Shengwei Zhao, Linhai Xu, Yuying Liu, Shaoyi Du |
| 2023 | Keyword-Based Diverse Image Retrieval by Semantics-aware Contrastive Learning and Transformer. | Minyi Zhao, Jinpeng Wang, Dongliang Liao, Yiru Wang, Huanzhong Duan, Shuigeng Zhou |
| 2023 | Beyond the Overlapping Users: Cross-Domain Recommendation via Adaptive Anchor Link Learning. | Yi Zhao, Chaozhuo Li, Jiquan Peng, Xiaohan Fang, Feiran Huang, Senzhang Wang, Xing Xie, Jibing Gong |
| 2023 | MAMO: Fine-Grained Vision-Language Representations Learning with Masked Multimodal Modeling. | Zijia Zhao, Longteng Guo, Xingjian He, Shuai Shao, Zehuan Yuan, Jing Liu |
| 2023 | MDI: A Debiasing Method Combining Unbiased and Biased Data. | Han Zhao, Qing Cui, Xinyu Li, Rongzhou Bao, Longfei Li, Jun Zhou, Zhehao Liu, Jinghua Feng |
| 2023 | Multi-view Hypergraph Contrastive Policy Learning for Conversational Recommendation. | Sen Zhao, Wei Wei, Xian-Ling Mao, Shuai Zhu, Minghui Yang, Zujie Wen, Dangyang Chen, Feida Zhu |
| 2023 | Cone: Unsupervised Contrastive Opinion Extraction. | Runcong Zhao, Lin Gui, Yulan He |
| 2023 | SocialDial: A Benchmark for Socially-Aware Dialogue Systems. | Haolan Zhan, Zhuang Li, Yufei Wang, Linhao Luo, Tao Feng, Xiaoxi Kang, Yuncheng Hua, Lizhen Qu, Lay-Ki Soon, Suraj Sharma, Ingrid Zukerman, Zhaleh Semnani-Azad, Gholamreza Haffari |
| 2023 | Fine-Grained Preference-Aware Personalized Federated POI Recommendation with Data Sparsity. | Xiao Zhang, Ziming Ye, Jianfeng Lu, Fuzhen Zhuang, Yanwei Zheng, Dongxiao Yu |
| 2023 | Continual Learning on Dynamic Graphs via Parameter Isolation. | Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Guojie Song, Sunghun Kim |
| 2023 | NeuralKG-ind: A Python Library for Inductive Knowledge Graph Representation Learning. | Wen Zhang, Zhen Yao, Mingyang Chen, Zhiwei Huang, Huajun Chen |
| 2023 | Decomposing Logits Distillation for Incremental Named Entity Recognition. | Duzhen Zhang, Yahan Yu, Feilong Chen, Xiuyi Chen |
| 2023 | Prompt Learning for News Recommendation. | Zizhuo Zhang, Bang Wang |
| 2023 | Connecting Unseen Domains: Cross-Domain Invariant Learning in Recommendation. | Yang Zhang, Yue Shen, Dong Wang, Jinjie Gu, Guannan Zhang |
| 2023 | Uncertainty Quantification for Text Classification. | Dell Zhang, Murat Sensoy, Masoud Makrehchi, Bilyana Taneva-Popova, Lin Gui, Yulan He |
| 2023 | Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation. | Yang Zhang, Tianhao Shi, Fuli Feng, Wenjie Wang, Dingxian Wang, Xiangnan He, Yongdong Zhang |
| 2023 | A Model-Agnostic Popularity Debias Training Framework for Click-Through Rate Prediction in Recommender System. | Fan Zhang, Qijie Shen |
| 2023 | StreamE: Learning to Update Representations for Temporal Knowledge Graphs in Streaming Scenarios. | Jiasheng Zhang, Jie Shao, Bin Cui |
| 2023 | Exploiting Ubiquitous Mentions for Document-Level Relation Extraction. | Ruoyu Zhang, Yanzeng Li, Minhao Zhang, Lei Zou |
| 2023 | Mining Stable Preferences: Adaptive Modality Decorrelation for Multimedia Recommendation. | Jinghao Zhang, Qiang Liu, Shu Wu, Liang Wang |